diff --git a/Makefile b/Makefile
index 748db226f2..007d750115 100644
--- a/Makefile
+++ b/Makefile
@@ -4,6 +4,7 @@ format:
 	pre-commit run --all-files
 
 execute-notebooks:
+	export PYDEVD_DISABLE_FILE_VALIDATION = 1
 	jupyter nbconvert --execute --to notebook --inplace docs/introduction/*/*.ipynb --ExecutePreprocessor.timeout=-1
 	jupyter nbconvert --execute --to notebook --inplace docs/recipes/*.ipynb --ExecutePreprocessor.timeout=-1
 	jupyter nbconvert --execute --to notebook --inplace docs/examples/*.ipynb --ExecutePreprocessor.timeout=-1
diff --git a/docs/examples/batch-to-online.ipynb b/docs/examples/batch-to-online.ipynb
index e4f53a3191..99c9cdb717 100644
--- a/docs/examples/batch-to-online.ipynb
+++ b/docs/examples/batch-to-online.ipynb
@@ -25,10 +25,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:49.758896Z",
-     "iopub.status.busy": "2023-09-02T00:48:49.758379Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.245713Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.238220Z"
+     "iopub.execute_input": "2023-11-09T07:13:26.584039Z",
+     "iopub.status.busy": "2023-11-09T07:13:26.583739Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.166882Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.156212Z"
     },
     "tags": []
    },
@@ -102,10 +102,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.266250Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.265746Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.312281Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.311460Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.189863Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.189347Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.208208Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.206462Z"
     },
     "tags": []
    },
@@ -128,10 +128,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.319696Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.319239Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.358037Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.356950Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.213628Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.212467Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.233529Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.232804Z"
     },
     "tags": []
    },
@@ -167,10 +167,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.363772Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.361677Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.407335Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.406622Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.239697Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.239252Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.277655Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.276221Z"
     },
     "tags": []
    },
@@ -235,10 +235,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.411311Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.410781Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.500815Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.500338Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.282609Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.281556Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.363041Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.361561Z"
     },
     "tags": []
    },
@@ -284,10 +284,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.502765Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.502650Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.525202Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.524912Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.368371Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.367591Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.391267Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.390641Z"
     },
     "tags": []
    },
@@ -327,10 +327,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.526794Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.526708Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.540858Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.540594Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.395942Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.395217Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.410988Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.410729Z"
     },
     "tags": []
    },
@@ -366,10 +366,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.542496Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.542388Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.584646Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.584295Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.412488Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.412405Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.446197Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.445827Z"
     },
     "tags": []
    },
@@ -395,10 +395,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.586405Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.586308Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.679307Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.679021Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.447825Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.447750Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.495443Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.495189Z"
     },
     "tags": []
    },
@@ -451,10 +451,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:50.680871Z",
-     "iopub.status.busy": "2023-09-02T00:48:50.680771Z",
-     "iopub.status.idle": "2023-09-02T00:48:50.809990Z",
-     "shell.execute_reply": "2023-09-02T00:48:50.809706Z"
+     "iopub.execute_input": "2023-11-09T07:13:27.496931Z",
+     "iopub.status.busy": "2023-11-09T07:13:27.496855Z",
+     "iopub.status.idle": "2023-11-09T07:13:27.609803Z",
+     "shell.execute_reply": "2023-11-09T07:13:27.609550Z"
     },
     "tags": []
    },
@@ -538,7 +538,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/bike-sharing-forecasting.ipynb b/docs/examples/bike-sharing-forecasting.ipynb
index 1903bf8fbc..470363bdfc 100644
--- a/docs/examples/bike-sharing-forecasting.ipynb
+++ b/docs/examples/bike-sharing-forecasting.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:52.388443Z",
-     "iopub.status.busy": "2023-09-02T00:48:52.387754Z",
-     "iopub.status.idle": "2023-09-02T00:48:52.818022Z",
-     "shell.execute_reply": "2023-09-02T00:48:52.817578Z"
+     "iopub.execute_input": "2023-11-09T07:13:28.595456Z",
+     "iopub.status.busy": "2023-11-09T07:13:28.595182Z",
+     "iopub.status.idle": "2023-11-09T07:13:29.004623Z",
+     "shell.execute_reply": "2023-11-09T07:13:29.004315Z"
     },
     "tags": []
    },
@@ -67,10 +67,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:52.819985Z",
-     "iopub.status.busy": "2023-09-02T00:48:52.819815Z",
-     "iopub.status.idle": "2023-09-02T00:48:59.871195Z",
-     "shell.execute_reply": "2023-09-02T00:48:59.870876Z"
+     "iopub.execute_input": "2023-11-09T07:13:29.006292Z",
+     "iopub.status.busy": "2023-11-09T07:13:29.006158Z",
+     "iopub.status.idle": "2023-11-09T07:13:34.564864Z",
+     "shell.execute_reply": "2023-11-09T07:13:34.564546Z"
     },
     "tags": []
    },
@@ -131,10 +131,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:59.872853Z",
-     "iopub.status.busy": "2023-09-02T00:48:59.872756Z",
-     "iopub.status.idle": "2023-09-02T00:49:11.119053Z",
-     "shell.execute_reply": "2023-09-02T00:49:11.118705Z"
+     "iopub.execute_input": "2023-11-09T07:13:34.566502Z",
+     "iopub.status.busy": "2023-11-09T07:13:34.566385Z",
+     "iopub.status.idle": "2023-11-09T07:13:43.686695Z",
+     "shell.execute_reply": "2023-11-09T07:13:43.686371Z"
     },
     "tags": []
    },
@@ -201,10 +201,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:11.121222Z",
-     "iopub.status.busy": "2023-09-02T00:49:11.121092Z",
-     "iopub.status.idle": "2023-09-02T00:49:11.141944Z",
-     "shell.execute_reply": "2023-09-02T00:49:11.141668Z"
+     "iopub.execute_input": "2023-11-09T07:13:43.688298Z",
+     "iopub.status.busy": "2023-11-09T07:13:43.688204Z",
+     "iopub.status.idle": "2023-11-09T07:13:43.702197Z",
+     "shell.execute_reply": "2023-11-09T07:13:43.701978Z"
     },
     "tags": []
    },
@@ -412,10 +412,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:11.143621Z",
-     "iopub.status.busy": "2023-09-02T00:49:11.143509Z",
-     "iopub.status.idle": "2023-09-02T00:49:11.635268Z",
-     "shell.execute_reply": "2023-09-02T00:49:11.634940Z"
+     "iopub.execute_input": "2023-11-09T07:13:43.703680Z",
+     "iopub.status.busy": "2023-11-09T07:13:43.703602Z",
+     "iopub.status.idle": "2023-11-09T07:13:44.089579Z",
+     "shell.execute_reply": "2023-11-09T07:13:44.089307Z"
     },
     "tags": []
    },
@@ -467,14 +467,14 @@
       "\n",
       "3. LinearRegression\n",
       "-------------------\n",
-      "Name      Value     Weight    Contribution  \n",
-      "Intercept  1.00000   6.58252       6.58252  \n",
-      "pressure   1.05314   3.78529       3.98646  \n",
-      "humidity   0.42247   1.44921       0.61225  \n",
-      "y_mean_by_station_and_hour -0.59098   0.54167      -0.32011  \n",
-      " clouds    0.47566  -1.92255      -0.91448  \n",
-      "   wind    2.21104  -0.77720      -1.71843  \n",
-      "temperature -1.22098   2.47030      -3.01619  \n",
+      "Name                         Value      Weight     Contribution  \n",
+      "                 Intercept    1.00000    6.58252        6.58252  \n",
+      "                  pressure    1.05314    3.78529        3.98646  \n",
+      "                  humidity    0.42247    1.44921        0.61225  \n",
+      "y_mean_by_station_and_hour   -0.59098    0.54167       -0.32011  \n",
+      "                    clouds    0.47566   -1.92255       -0.91448  \n",
+      "                      wind    2.21104   -0.77720       -1.71843  \n",
+      "               temperature   -1.22098    2.47030       -3.01619  \n",
       "\n",
       "Prediction: 5.21201\n"
      ]
@@ -517,10 +517,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:11.637463Z",
-     "iopub.status.busy": "2023-09-02T00:49:11.637338Z",
-     "iopub.status.idle": "2023-09-02T00:49:22.900309Z",
-     "shell.execute_reply": "2023-09-02T00:49:22.900026Z"
+     "iopub.execute_input": "2023-11-09T07:13:44.091270Z",
+     "iopub.status.busy": "2023-11-09T07:13:44.091166Z",
+     "iopub.status.idle": "2023-11-09T07:13:53.376511Z",
+     "shell.execute_reply": "2023-11-09T07:13:53.376206Z"
     },
     "tags": []
    },
@@ -594,7 +594,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/building-a-simple-nowcasting-model.ipynb b/docs/examples/building-a-simple-nowcasting-model.ipynb
index 1ee82ca211..500ffaa590 100644
--- a/docs/examples/building-a-simple-nowcasting-model.ipynb
+++ b/docs/examples/building-a-simple-nowcasting-model.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:24.420171Z",
-     "iopub.status.busy": "2023-09-02T00:49:24.419780Z",
-     "iopub.status.idle": "2023-09-02T00:49:24.797328Z",
-     "shell.execute_reply": "2023-09-02T00:49:24.796994Z"
+     "iopub.execute_input": "2023-11-09T07:13:54.533808Z",
+     "iopub.status.busy": "2023-11-09T07:13:54.533370Z",
+     "iopub.status.idle": "2023-11-09T07:13:54.963329Z",
+     "shell.execute_reply": "2023-11-09T07:13:54.963037Z"
     },
     "tags": []
    },
@@ -59,10 +59,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:24.799326Z",
-     "iopub.status.busy": "2023-09-02T00:49:24.799159Z",
-     "iopub.status.idle": "2023-09-02T00:49:24.859695Z",
-     "shell.execute_reply": "2023-09-02T00:49:24.859293Z"
+     "iopub.execute_input": "2023-11-09T07:13:54.965002Z",
+     "iopub.status.busy": "2023-11-09T07:13:54.964864Z",
+     "iopub.status.idle": "2023-11-09T07:13:54.985089Z",
+     "shell.execute_reply": "2023-11-09T07:13:54.984832Z"
     },
     "tags": []
    },
@@ -96,10 +96,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:24.861616Z",
-     "iopub.status.busy": "2023-09-02T00:49:24.861498Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.082191Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.081885Z"
+     "iopub.execute_input": "2023-11-09T07:13:54.986720Z",
+     "iopub.status.busy": "2023-11-09T07:13:54.986638Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.216775Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.216512Z"
     },
     "tags": []
    },
@@ -153,17 +153,17 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.084045Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.083910Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.274882Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.274032Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.218516Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.218372Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.341470Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.341081Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -188,17 +188,17 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.280931Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.279720Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.472417Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.472038Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.343297Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.343193Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.453441Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.453155Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -234,17 +234,17 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.474454Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.474315Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.632682Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.632380Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.455166Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.455031Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.570302Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.569976Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -290,10 +290,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.634449Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.634329Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.652868Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.652527Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.571899Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.571799Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.583309Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.582997Z"
     },
     "tags": []
    },
@@ -339,17 +339,17 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.654618Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.654506Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.808203Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.807926Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.585204Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.585085Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.695779Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.695478Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -396,17 +396,17 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.809909Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.809792Z",
-     "iopub.status.idle": "2023-09-02T00:49:25.966550Z",
-     "shell.execute_reply": "2023-09-02T00:49:25.966146Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.697342Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.697247Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.808959Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.808709Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -456,17 +456,17 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:25.968406Z",
-     "iopub.status.busy": "2023-09-02T00:49:25.968270Z",
-     "iopub.status.idle": "2023-09-02T00:49:26.122429Z",
-     "shell.execute_reply": "2023-09-02T00:49:26.122044Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.810582Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.810475Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.920717Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.920475Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -496,10 +496,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:26.124297Z",
-     "iopub.status.busy": "2023-09-02T00:49:26.124157Z",
-     "iopub.status.idle": "2023-09-02T00:49:26.145411Z",
-     "shell.execute_reply": "2023-09-02T00:49:26.145136Z"
+     "iopub.execute_input": "2023-11-09T07:13:55.922261Z",
+     "iopub.status.busy": "2023-11-09T07:13:55.922164Z",
+     "iopub.status.idle": "2023-11-09T07:13:55.935603Z",
+     "shell.execute_reply": "2023-11-09T07:13:55.935386Z"
     }
    },
    "outputs": [
@@ -723,7 +723,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/examples/content-personalization.ipynb b/docs/examples/content-personalization.ipynb
index a3d8ced170..b246c6cdae 100644
--- a/docs/examples/content-personalization.ipynb
+++ b/docs/examples/content-personalization.ipynb
@@ -31,10 +31,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:27.695411Z",
-     "iopub.status.busy": "2023-09-02T00:49:27.695233Z",
-     "iopub.status.idle": "2023-09-02T00:49:27.716059Z",
-     "shell.execute_reply": "2023-09-02T00:49:27.715602Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.050580Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.050354Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.074268Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.073904Z"
     }
    },
    "outputs": [
@@ -88,10 +88,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:27.718298Z",
-     "iopub.status.busy": "2023-09-02T00:49:27.718142Z",
-     "iopub.status.idle": "2023-09-02T00:49:27.897952Z",
-     "shell.execute_reply": "2023-09-02T00:49:27.897309Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.076466Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.076302Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.256665Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.256383Z"
     }
    },
    "outputs": [],
@@ -156,16 +156,16 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:27.899930Z",
-     "iopub.status.busy": "2023-09-02T00:49:27.899768Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.220808Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.220472Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.258402Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.258280Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.506299Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.500295Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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BAEAQ7dq1S+3atTtun9M+8JyMSZMm+Z9rI0mHDh1S+/bttW3bNjVv3rxR38vj8WjJkiUaNmxYozw0EPWjzqFBnUODOocOtQ6NYNW5uLhYHTt2PKHf3ad94ElOTlZ+fn5AW35+vmJjY+s9uiNJbrdbbre7Tnt8fLxiY2MbdXwej0fR0dFq1aoV/5mCiDqHBnUODeocOtQ6NIJV59ptnch0lLC7Squh0tPTlZOTE9C2aNEipaenN9GIAABAuAm7wFNSUqI1a9ZozZo1kmouO1+zZo127twpqeZ01E033eTvf8cdd2jr1q36zW9+ow0bNui5557T66+/XueJxAAA4MwVdoFnxYoV6tOnj/r06SNJysrKUp8+fTR58mRJ0p49e/zhR5I6duyo9957T4sWLVKvXr00Y8YMvfzyy8rMzGyS8QMAgPATdnN4hg4dquPdGqi+uygPHTpUq1evDuKoAADA6SzsjvAAAAA0NgIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwPAIPAACwvLAMPM8++6zS0tIUGRmpgQMHavny5cftP2vWLHXr1k1RUVFKTU3Vr3/9a1VUVIRotAAAINyFXeCZO3eusrKylJ2drVWrVqlXr17KzMxUQUFBvf1fe+01PfDAA8rOztb69ev1l7/8RXPnztWDDz4Y4pEDAIBwFXaBZ+bMmbrttts0btw49ejRQy+88IKio6P1yiuv1Nv/008/1eDBg/Wzn/1MaWlpGjFihG688cYfPCoEAADOHBFNPYAjVVVVaeXKlZo0aZK/zW63KyMjQ8uWLat3nR//+Mf6+9//ruXLl2vAgAHaunWr5s+frzFjxhzzfSorK1VZWel/XVRUJEnyeDzyeDyNtDfyb/PIfxEc1Dk0qHNoUOfQodahEaw6N2R7YRV49u3bJ6/Xq6SkpID2pKQkbdiwod51fvazn2nfvn06//zzZYxRdXW17rjjjuOe0po2bZqmTp1ap33hwoWKjo4+tZ04hkWLFgVluwhEnUODOocGdQ4dah0ajV3nsrKyE+4bVoHnZOTm5urxxx/Xc889p4EDB2rz5s2aOHGiHnnkEf32t7+td51JkyYpKyvL/7qoqEipqakaMWKEYmNjG3V8Ho9HixYt0sUXXyyn09mo28b3qHNoUOfQoM6hQ61DI1h1rj1DcyLCKvAkJCTI4XAoPz8/oD0/P1/Jycn1rvPb3/5WY8aM0c9//nNJ0nnnnafS0lLdfvvteuihh2S3152m5Ha75Xa767Q7nc6gfcMHc9v4HnUODeocGtQ5dKh1aDR2nRuyrbCatOxyudSvXz/l5OT423w+n3JycpSenl7vOmVlZXVCjcPhkCQZY4I3WAAAcNoIqyM8kpSVlaWxY8eqf//+GjBggGbNmqXS0lKNGzdOknTTTTepbdu2mjZtmiTpiiuu0MyZM9WnTx//Ka3f/va3uuKKK/zBBwAAnNnCLvCMGjVKe/fu1eTJk5WXl6fevXtrwYIF/onMO3fuDDii8/DDD8tms+nhhx/W7t271bp1a11xxRV67LHHmmoXAABAmAm7wCNJEyZM0IQJE+pdlpubG/A6IiJC2dnZys7ODsHIAADA6Sis5vAAAAAEA4EHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYHoEHAABYXlgGnmeffVZpaWmKjIzUwIEDtXz58uP2P3jwoMaPH682bdrI7XbrrLPO0vz580M0WgAAEO4imnoAR5s7d66ysrL0wgsvaODAgZo1a5YyMzO1ceNGJSYm1ulfVVWliy++WImJiXrzzTfVtm1b7dixQ3FxcaEfPAAACEthF3hmzpyp2267TePGjZMkvfDCC3rvvff0yiuv6IEHHqjT/5VXXlFhYaE+/fRTOZ1OSVJaWloohwwAAMJcWAWeqqoqrVy5UpMmTfK32e12ZWRkaNmyZfWu8/bbbys9PV3jx4/Xf/7zH7Vu3Vo/+9nPdP/998vhcNS7TmVlpSorK/2vi4qKJEkej0cej6cR90j+7TX2dhGIOocGdQ4N6hw61Do0glXnhmwvrALPvn375PV6lZSUFNCelJSkDRs21LvO1q1btXjxYo0ePVrz58/X5s2bddddd8nj8Sg7O7vedaZNm6apU6fWaV+4cKGio6NPfUfqsWjRoqBsF4Goc2hQ59CgzqFDrUOjsetcVlZ2wn3DKvCcDJ/Pp8TERL344otyOBzq16+fdu/erSeffPKYgWfSpEnKysryvy4qKlJqaqpGjBih2NjYRh2fx+PRokWLdPHFF/tPuaHxUefQoM6hQZ1Dh1qHRrDqXHuG5kSEVeBJSEiQw+FQfn5+QHt+fr6Sk5PrXadNmzZyOp0Bp6/OPvts5eXlqaqqSi6Xq846brdbbre7TrvT6QzaN3wwt43vUefQoM6hQZ1Dh1qHRmPXuSHbCqvL0l0ul/r166ecnBx/m8/nU05OjtLT0+tdZ/Dgwdq8ebN8Pp+/7ZtvvlGbNm3qDTsAAODME1aBR5KysrL00ksv6a9//avWr1+vO++8U6Wlpf6rtm666aaASc133nmnCgsLNXHiRH3zzTd677339Pjjj2v8+PFNtQsAACDMhNUpLUkaNWqU9u7dq8mTJysvL0+9e/fWggUL/BOZd+7cKbv9+5yWmpqq//73v/r1r3+tnj17qm3btpo4caLuv//+ptoFAAAQZsIu8EjShAkTNGHChHqX5ebm1mlLT0/XZ599FuRRAQCA01XYndICAABobAQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeQQeAABgeUEPPLm5ucF+CwAAgOMKWuBZunSphg8fruHDhwfrLQAAAE5IRENX8Hg8eu2117Ry5UpFRETo/PPP109/+lP/8jVr1uiBBx7QokWLZIxR//79G3XAAAAADdWgwFNcXKwhQ4boq6++kjFGkvT000/rpz/9qd544w1NnjxZjz/+uHw+n/r27aspU6bo8ssvD8rAAQAATlSDAs/vf/97ffnll+rVq5dGjx4tSfr73/+uf/3rX7rhhhv0+uuvq0uXLnrqqad05ZVXBmXAAAAADdWgwPOf//xHHTp00Oeffy6XyyVJmjBhgrp376433nhDl1xyif71r3/J7XYHZbAAAAAno0GTlrdu3apLL73UH3YkKTIyUpdddpkk6amnniLsAACAsNOgwFNeXq6kpKQ67YmJiZKkbt26Nc6oAAAAGlGjXpZut3MfQwAAEH4afFn62rVr9frrr9dpk6Q33njDf/XWka6//vqTHB4AAMCpa3Dgeeutt/TWW28FtNWGnBtuuKFOu81mI/AAAIAm1aDAM3nyZNlstmCNBQAAICgaFHimTJkSpGEAAAAET4NmGd9yyy16++23gzUWAACAoGhQ4Jk9e7bWrFkTpKEAAAAEB9eRAwAAyyPwAAAAyyPwAAAAy2vwfXjmzZun7du3n3B/m82mv/zlLw19GwAAgEbT4MCzZs2aBk1cJvAAAICm1uDAc/PNN2vs2LHBGAsAAEBQNDjwpKWl6cILLwzGWAAAAIKCScsAAMDyCDwAAMDyCDwAAMDyGhR4Xn31VTkcDj344IPyeDzH7FdVVaUHH3xQ06dPP+UBAgAAnKoGBZ62bdtq8uTJatWqlZxO5zH7uVwuJSQk6KGHHtKSJUtOeZAAAACnokGB529/+5tatmypCRMm/GDf8ePHKz4+Xq+++upJDw4AAKAxNCjwfPrpp8rIyJDb7f7Bvm63WxkZGVq6dOlJDw4AAKAxNCjwfPfdd+rUqdMJ9+/YsaP27NnT4EEBAAA0pgYFHrvdftzJykfzeDyy27kQDAAANK0GpZGUlBStXbv2hPuvXbtWbdu2bfCgAAAAGlODAs8FF1ygxYsXn9DT0rdv367FixdryJAhJzs2AACARtGgwDN+/Hh5PB5de+212rdv3zH77d+/X9ddd52qq6t15513nvIgAQAATkWDHh7at29f3X333Zo1a5Z69OihO+64Q8OGDVO7du0kSbt371ZOTo5efPFF7d27V1lZWerbt29QBg4AAHCiGvy09BkzZigyMlJPPvmkHnvsMT322GMBy40xcjgcmjRpkh599NFGGygAAMDJanDgsdlsevzxx3Xrrbfq1Vdf1aeffqq8vDxJUnJysgYPHqybb75ZnTt3bvTBAgAAnIwGB55anTt35ggOAAA4LXCTHAAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHlhG3ieffZZpaWlKTIyUgMHDtTy5ctPaL05c+bIZrNp5MiRwR0gAAA4bYRl4Jk7d66ysrKUnZ2tVatWqVevXsrMzFRBQcFx19u+fbvuvfdeXXDBBSEaKQAAOB2EZeCZOXOmbrvtNo0bN049evTQCy+8oOjoaL3yyivHXMfr9Wr06NGaOnWqOnXqFMLRAgCAcBfR1AM4WlVVlVauXKlJkyb52+x2uzIyMrRs2bJjrve73/1OiYmJuvXWW/Xxxx8f9z0qKytVWVnpf11UVCRJ8ng88ng8p7gHgWq319jbRSDqHBrUOTSoc+hQ69AIVp0bsr2wCzz79u2T1+tVUlJSQHtSUpI2bNhQ7zqffPKJ/vKXv2jNmjUn9B7Tpk3T1KlT67QvXLhQ0dHRDR7ziVi0aFFQtotA1Dk0qHNoUOfQodah0dh1LisrO+G+YRd4Gqq4uFhjxozRSy+9pISEhBNaZ9KkScrKyvK/LioqUmpqqkaMGKHY2NhGHZ/H49GiRYt08cUXy+l0Nuq28T3qHBrUOTSoc+hQ69AIVp1rz9CciLALPAkJCXI4HMrPzw9oz8/PV3Jycp3+W7Zs0fbt23XFFVf423w+nyQpIiJCGzduVOfOnQPWcbvdcrvddbbldDqD9g0fzG3je9Q5NKhzaFDn0KHWodHYdW7ItsJu0rLL5VK/fv2Uk5Pjb/P5fMrJyVF6enqd/t27d9fXX3+tNWvW+D+uvPJKDRs2TGvWrFFqamoohw8AAMJQ2B3hkaSsrCyNHTtW/fv314ABAzRr1iyVlpZq3LhxkqSbbrpJbdu21bRp0xQZGalzzz03YP24uDhJqtMOAADOTGEZeEaNGqW9e/dq8uTJysvLU+/evbVgwQL/ROadO3fKbg+7g1MAACBMhWXgkaQJEyZowoQJ9S7Lzc097rqzZ89u/AEBAIDTFodJAACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4AACA5RF4gmz2sh36y0a7vD7T1EMBAOCMReAJorKqaj02f6O+KrTrlU+3N/VwAAA4YxF4gqi8yuv/fOnmwiYcCQAAZzYCTxDZbDb/58ZwSgsAgKZC4Aki2xGf+wg8AAA0GQJPEB1xgEfMWQYAoOkQeILIdsQxHo7wAADQdAg8IULeAQCg6RB4gumIU1rkHQAAmg6BJ0S48SAAAE2HwBNER05a5rJ0AACaDoEniAIvS2+yYQAAcMYj8ATRkTce5JQWAABNh8ATIuvzipt6CAAAnLEIPAAAwPIIPAAAwPIIPAAAwPIIPEHEpegAAIQHAg8AALA8Ag8AALA8Ag8AALA8Ag8AALA8Ak8QMWUZAIDwQOABAACWR+ABAACWR+ABAACWR+ABAACWR+ABAACWR+AJIp4sAQBAeCDwAAAAyyPwAAAAyyPwAAAAyyPwAAAAyyPwBBOTlgEACAsEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEHgAAYHkEniAyXKYFAEBYIPAAAADLI/AAAADLI/CEkOHx6QAANAkCTwh5fQQeAACaAoEniI4+oOPlCA8AAE2CwBNCPl9TjwAAgDMTgSeEPCQeAACaRNgGnmeffVZpaWmKjIzUwIEDtXz58mP2femll3TBBReoZcuWatmypTIyMo7bv6l4qgk8AAA0hbAMPHPnzlVWVpays7O1atUq9erVS5mZmSooKKi3f25urm688UYtWbJEy5YtU2pqqkaMGKHdu3eHeOTHV82kZQAAmkRYBp6ZM2fqtttu07hx49SjRw+98MILio6O1iuvvFJv/3/84x+666671Lt3b3Xv3l0vv/yyfD6fcnJyQjzyQEfHmyqO8AAA0CQimnoAR6uqqtLKlSs1adIkf5vdbldGRoaWLVt2QtsoKyuTx+NRfHx8vcsrKytVWVnpf11UVCRJ8ng88ng8pzD6QEdvq6KqSh6Ps9G2j+/V1roxv36oizqHBnUOHWodGsGqc0O2F3aBZ9++ffJ6vUpKSgpoT0pK0oYNG05oG/fff79SUlKUkZFR7/Jp06Zp6tSpddoXLlyo6Ojohg/6GEo80pElzlnyodo03uZRj0WLFjX1EM4I1Dk0qHPoUOvQaOw6l5WVnXDfsAs8p2r69OmaM2eOcnNzFRkZWW+fSZMmKSsry/+6qKjIP+8nNja20cZSWFqlh1bk+l+nDz5fPdo03vbxPY/Ho0WLFuniiy+W08lRtGChzqFBnUOHWodGsOpce4bmRIRd4ElISJDD4VB+fn5Ae35+vpKTk4+77lNPPaXp06frgw8+UM+ePY/Zz+12y+1212l3Op2N+oVwOgNn8Ribg/9QQdbYX0PUjzqHBnUOHWodGo3/e/bEtxV2k5ZdLpf69esXMOG4dgJyenr6Mdd74okn9Mgjj2jBggXq379/KIbaYNVeJi0DANAUwu4IjyRlZWVp7Nix6t+/vwYMGKBZs2aptLRU48aNkyTddNNNatu2raZNmyZJ+v3vf6/JkyfrtddeU1pamvLy8iRJMTExiomJabL9OPphoVUEHgAAmkRYBp5Ro0Zp7969mjx5svLy8tS7d28tWLDAP5F5586dstu/Pzj1/PPPq6qqStdee23AdrKzszVlypRQDv24qr3chwcAgKYQloFHkiZMmKAJEybUuyw3Nzfg9fbt24M/oEbg4QgPAABNIuzm8FiZhyM8AAA0CQJPCHGEBwCApkHgCaKjj+cQeAAAaBoEnhBi0jIAAE2DwBNCXJYOAEDTIPCEEDceBACgaRB4QoirtAAAaBoEniA66kbL8vg4wgMAQFMg8IRQVTWBBwCApkDgCaEKD4EHAICmQOAJoQqPt6mHAADAGYnAE0LlVQQeAACaAoEnhMo5wgMAQJMg8ASROerhEgQeAACaBoEnhJjDA5w+KjxeFZZWyRgjc/Q9Jk5ye8YY+XzG/7PA6+PeXECoRDT1AM4kBJ7gMkaa9O//qaCkSncN7axOCc204H95+teq3bqga4LGDOqgxNjIph4mQqCkslpF5R7tLCzTF9sKVVJZLdmkaGeEbDapqNyj0iqv4qKd6poYo8LSKu0qLFMzd4TKqrzK2ZCvXYXl/u3ZbVJKXJRSWkQpqUWktu0r0bcHyhUf7dLekkqVVXnlsNsUGWFXtCtCPmNU7TOy2yR3hEN7SypVVe2TK8Je5/YUXRNjdHabWMU3c6lFlFNtWkRq5/5SLd9k1+r5G5TSMlqdW8fIZpPKqrz67mC5jJF2HyxXbKRT0W6H4qNdinI51DLape7JzdW6uVs2my3UZQ8bxhgdLPOostonp8Omkspq2WST22lX6xi37PYztzYN4fMZFRRXymaTbDYpwm5Xtdenap9RYWmVPF6f4pvVfO9FOR0qKK5UcUXN/73vDpZrX0mlbDabvD4jm/HpwH6bLm3C/SHwhBCntBrH7oPlenLBBs1b853uHXGWfnJuG/116Vb93+cRknZLkj76Zm/AOmt2HdQzizdLkgZ0jFfPti00b81udUmM0dBuiXI67LrwrAS1jHYpwm5Xi2hnqHcL9Siu8GhzQYniol1KaxUtn5FKq6rlcth1oKxKy7bsV2mVV5UeryqrfSquqNYX2wu1cseBRh2Hz0jfHijXtwfKA9oPlnn8n3t9RlXVPhVVVB9zO/Xdi2tTQYk2FZTU09uuFft2ntR4W0Y71SUxRrGRTvmMUWp8tNrHR6t1c7fatIiS02FTbJRTTrtdNlvNc/6aR0ao0uNTi2iniiuqVVBUoUPlHvmMkc1mU7TToSqvT62auZUU65bb6VCMO0I+n9HG/GIdLPPoUHmVtu8v0/6SStntNrkddtlsNrki7HI57DIyqvT45Iywa29xpbw+o3Yto5QaH63UltFqFx8lr9fo2wPlqqj2qqzKq1bNXDpQVqX/fVekd778Tk6HXc0jIxTtcsjjNbJJqvYZlVRWa29xTfgsqfQc8zYgTodNSbGRat3crWiXQ4kxLhUV2PXVgo3aX+rRoXKPSiqr5Y5waH9plX+9onKPWjd3KyHGpaKKapVUVCu+mUt2u01V1V5VeGoCrTvCruTYSLVpEalWMW5FOR1qHetW6xi3nA57zS9/W80fwE6HXUmxkWp1eDs+n1FltU/uiJqvizFSRbVXLoddPlPzPRbhsCnvUIX2lVSq2mcUGeFQflGFCoor9eWug6qs9qqwzCPb4X2trPapqtqnvcWV/v1xOmwqq/L6vy5up13VXiOP16hltFMRDru+O1iu4gqPGvMgZPtmdk1qvM01GIEnhLhKq2HyiypUVe3T17sP6ayk5uqSGKOC4goNnr7Y3+ephd/oqYXfNGi7y7cVavm2QknSvpJCfba15vNHjuo3ZlAHJbeI1Icb98pul/p1aKnUltEa1j1RSbGRqvb6NPWdderUuplG9m6ruGhnSP+qLiiuUITdrgqPV21aRIb9X/Q+n1FeUYVe/nibVuwo1Kb8ErWKcSmlRZTim7m0bk+Riio8qqr2yemw61C5J2B9u00n9cM3xh2hc9vGKtLpkCSVVFQryuVQYvNIGWP0TUGxCkuq1DWpueKinTpQ5lH35Ob62YD2at3crd0Ha0LOdwfLtauwTN8dqpAk9WoXJ0naX1qp1jFuxTdzyWekQ+UeVXi8auZ2yOeTjKQIu03ntI3V3uJKSVJCjFt7iysVG+nUlr0lWrenSDv2l6qy2qfdB8plt0nO8v3q0KG99pV4tHlviUorq+WKsKtltEuxkU45HTbFRbt0qNyj8iqv9pVUyuP1aWdhmQ6UefTF9sYNfceqbbXPF/b3GIuw22Sz1Tzex3M4UAWGV7v03Y4f3E7t90Jjs9kk++EjIUe2NcKZ1OMqq+d30r6SyjptR4/FZqv52se4I3So3BOwnaRYt6JdEUqOjVRKXJSMjCLstpo/SvbvDsp+nCgCTzAd9c0a7j8UmlJltVevLt2u6e9vOKXt9E5toVdvHqDKap++PVCmpNhItWsZJakm6Lz95Xf6Ynuhvsmv7y/qQP/3WeAPwNpg5LDbNKxboj5Yn+9fNvWddZKkbknNdeOAVF3Zu61ankQAqvB4VVTu0TOLN2vL3hL5jFFZlVeREQ7tK6nU1n2l9a4XF+1UWaVXVV6ferZroYu6J6pbUnP1bh+n5MOn8U5kLB6vT5vyS9QlMcZ/+iV3Y4EWrcvXgTKPereL1cFCm7Ys2aLiypqjKpvzS3ReuxZqGxelguJK/WvVt9pbUhMCCorr/vA8Un1HTWrU/UF8rLDTJTFGzVwORTjsirDbZCRd1TtF1/RtpyqvT7GRp3a07qyk5gH/norE5t+fUk06/HVp36omRB/J4/Fo/vz5uvTSHnI6Gzb+Co9XmwtKtCGvWPsP//IqLKvSloJS7S+trDl6UuVVcWXNkSibTXI57Ko86uhTtMuh1s3dioxwyGeMDpV7ZLfZ5PH6/EcKSg5vwxVhV1JsTd/kFpFq1zL6cEA18h4+alFzhMKnyAiHyqq8atnMqWauCO0pqtC3hWXadaBchYe32yLKKXdEzZGH8iqfKqu96pbUXD/ukqAebZqrsNSjap9PZVVeNXNHyG6TmrkiFBsVoVbNao7ctG0ZpajDR6XcETVht9rrU0Fxpb47WK68ogqVV3mVf6hcn3+1Uakd2qt18yg1c9fst89X8/+hdXO3SiqrFRftUoXHq4KiCjkddsVFuw4fATGKsNsV6XTI4605mlJQXKG8ogoVFFWq3OPVvpIqFRRVqPrw0R1jpEhnzdGe/aVVMkbyHpVujhd2Iuw2xTdzyRVhV0lltVrHuNW6uVtnJTVXYqxbrQ6Hb58xctrtinQ55HLY1D6+mRz2mq9hpNPh//lS7fXJbrfJaa/5Q6OyuqauqfHRatXMJZejZrpvtc/4w2PN907NJ16fkcfrkzFSlMtR75hrvqd3ndD3cLAQeELoTD6ltXxbobbvK9VP+7ZVxOH/PH/5ZJumzV+vfh1a6vPDR1xO1DV922nG9b1U4fFq/Z4idUuM1qL/LtCllw70/4JIbhE4X2dgp1Ya2KlVnW2Zw/MtCkurVFBUc776teU7NfeLXQF/cTnsNX+BeX0mIOwcaWN+saa8s05TDgego9dt7o7Qlb1T1Ld9S32+bb/2l1TJbrepZ9sWmvPFrpP+C/LIUytffXtIX317KGC5zSZ1iI9WUmyk8osqFO2KUM92LVRcWa3t+0rVKsatCo/Xf+TrWGr22yFt3BLQvnx73fWOF3YuO6+NYtwRGtAxXkUVHu0+UC6P16fOiTFqHx99+BeCQz3btZDTYZfPGG3KL9H+0koN6tRKe4srVVBcoe7JsWrmPvaPsdqjOmeSSKdD57ZtoXPbtjhuv5rJ2Do8P6PmdIrNVvNzymG3+UNCfSqrvar21hyxK6v0qmtSTKPUurSyWjabFO1qvF9NR+5HhMNeMxcrLsrf5vF4lFqy/qTCZWOoPhwgPd6aI5uREQ5VVHvlO5x4ol0RNYHEZpPdblO116e4aJccTTAPyXWM93TYbXLYw///GoEnhM6kU1orthdqza6Dej53S8B58Jc/2Vrn6Mrxws6fftZHSbGRstts+u28tZKkezPP0kXdkyTV/HDv076lPB7PMbfxQ2w2m/+8fu1f3Y9ffZ4ev/q8evtvyi/Wa8t36tWl29XM5dDXUzK1o7BMX+46qJwNBdq6t0T/+64oYJ3a4FRcWa1/fL5T//g8cG7GonX1B6jOrZupsLRK7eOjVe7xKi7apUEd45XcIkq7D5ZpZO+aALl+T5E+2bxPPp/ROW1b6JNNe5WzvkDVh9/XGGn7/jJt31/m3/a6PUX1vuexdEpoptbNXfp6V6HKqm1q1cyl+GY1P3i7JjXXloIS2e01RzHOTYnVOW1b6EBpVc1f+3apTYuaXzKJzd3HDSnHcl6773+Bp8ZHKzU+usHbwPdstu//Upfkn8h7ImHDHeGQO0Lq3DqmUcd0Mt8Xp7uIw/N4jtRCzCEMhjPvu6sJlR++LDXc51qcqvGvrdJ7X+2pd9nxTiXddkFHjRmUpvat6v9FNn/iBY0yvlPVNam5sq84R9lXnONv65jQTB0Tmmlkn7aSpK17S7Qxr1h7DlXos6371T25uTYVlCg1PloHSqs0/+s9Kq3yyh1RcyohNT5KuwrLNbBjvB6+rIcSY911fggeT8eEZrr0vDb+12MGdZAkFZZWaenmfXJH2PVNfrG+O1Shbw+Uq0WUUy6HXat3HlCk06HOiTEqqag5ZfHzCzopIcalLXtL1SLKqZ7tWvh/EX1/quXSJvlrGABOFoEnxMo93kY9XHssuwrL9MKHW3T7kE7q0KpZowWtogqP8g9VaG9JpX7cOaHO8uIKzzHDzt0ZXfXVt4e0eEOBpJqJm2/dma7mkU5FuxyWOv3QqXWMOh3+6/eW8zvWWf77a3pKUtAvj41v5tIVvVIkSSPOSW7Qul0bYc4KAIQLAk8Q1c7+sMnIbq+ZoFZcUd2gwDPt/fVasf2AXrn5R2oRVfMXdbXXpwiHXUUVNadx9hysULfkml9Ouw+Wa1N+sW5+9QtJCjh18rdbBuj8Lgkn9EvWGKMte0vl9RltLihRz3YtdNMry7XtiEmzI3unaNpPeyrK5ZAxRh0nzQ/YxvOj++rHnRMUGxURELaKKjynPJH0dMd9QAAgtAg8IWCTFBsZoQNlHhWVe+o9VXHkEZh3vvxOL360VU9d10t//nCrJKnX1IVqGe3U0G6Jever7/TLi7pq5qLvL8e+qneKkmMj9fGmfcecm3HTK8uVHBupnHsuVDN3hA6UVinq8JGV8iqvqqp9+u+6PEnSb9786gf3a96a7zRvzXf1LotxR+iSI06xHOlMDzsAgNAj8IRI89rAUxE4ubaguEIDHsuRJP1hVC9d3aedfvnP1ZKkzFkfBfQ9UObRv1fX3MfgyLAjSf85RvA4Wl5Rhc7J/q/GDOqgt1Z9q5bRrgZfGeSw29SvQ0ut31Ok4npusvbz8zvq9gs7NWibAAAEE4EnRGqOapSrqDwwILzz5ffzXX4990td3addo73nU9fVXLb98Ly1uv8n3fW3Zdu15/BN02rvMVNWdfywkxDjVt/2cXJF2LW5oEQvjunvn1ScX1Shn730mbbs/f4017zxg9U7Na7R9gEAgMZA4AmR2MiaUh99hCchxhXw+ujlJ+uLhzLUurlbkjR6YHvZbDbdObSzlmws0LjD83uOpV+Hlrq4R5LSO7VSr+OEl6TYSOXcM7RRxgsAQDAReEIk9vCE46KjbpfvO+p2mn/8YFOddXu1a6EHLjlb3ZOb66vdh1Th8eqtld9qz6EKvXFHutwRdm3ML5bDZlO1z6hT62YBN9s6csLwsG6J2j79Ms1euk1/WrJFr902UB99s1dX9W7rD0gAAFgNgSeIjswy3x/hqT5iudGv534ZsM7Ln2zzf/7hfUP19AebdNewLuqSWHOJ84VntZYkZR51iXH35NgGje3mwR118+Cay6Ub45b5AACEMwJPKNhqJi1LCngg4g9NFu7QqplmjuodzJEBAHBGsDf1AM4ULaNr5ursL6l5zEK116ePvtl3zP5Hz+0BAAAnjyM8IdK6eU2AKSiu0O6D5Ro8fXHA8oQYlyo9Pv8TjH97eY+QjxEAAKviCE+ItI6pmRC8t7iyTtiRpGd/1lcPXna2//XlPVNCNjYAAKyOIzxBZPT9rOXaK6A25BXX23dgp1Ya2KmVOsRHq0tijBw8egAAgEZD4AkBm6TWx5mTE3XEQzN/3KXuAzkBAMCp4ZRWiLSMdh3zqE25xxvi0QAAcGYh8ISI3W7zz+M52ozreoV4NAAAnFk4pRVC7eOjlVdU4X99QdcE/e2WAQF3QgYAAI2PIzxBdNRTI9Th8EM3a710U3/CDgAAIUDgCaG0hGb+z/u2j1PkEZOVAQBA8BB4Qiit1feBx+mg9AAAhAq/dUMoLeH7U1oEHgAAQoffuiFU+8RzqeaOywAAIDQIPCHkjvh+zs7G/PrvuAwAABofgSeIzA93AQAAIUDgCYEjLzx/4pqekqTxwzo3zWAAADgDcePBELuufzsN7BSv1JbRP9wZAAA0CgJPiNlsNnU44vJ0AAAQfJzSAgAAlkfgCSJz9LMlAABAkyDwhABPywIAoGkReAAAgOUReAAAgOUReAAAgOUReAAAgOUReIKIi7QAAAgPBJ5Q4DItAACaFIEHAABYHoEHAABYHoEHAABYHoEHAABYXtgGnmeffVZpaWmKjIzUwIEDtXz58uP2f+ONN9S9e3dFRkbqvPPO0/z580M00h/GnGUAAJpWWAaeuXPnKisrS9nZ2Vq1apV69eqlzMxMFRQU1Nv/008/1Y033qhbb71Vq1ev1siRIzVy5EitXbs2xCMHAADhKCwDz8yZM3Xbbbdp3Lhx6tGjh1544QVFR0frlVdeqbf/008/rZ/85Ce67777dPbZZ+uRRx5R37599ac//SnEIwcAAOEo7AJPVVWVVq5cqYyMDH+b3W5XRkaGli1bVu86y5YtC+gvSZmZmcfsHyoHyzxN+v4AAKBGRFMP4Gj79u2T1+tVUlJSQHtSUpI2bNhQ7zp5eXn19s/Ly6u3f2VlpSorK/2vDx06JEkqLCyUx9N4IeWbnXvlqyyTcRjt379fTqez0baNQB6PR2VlZdQ5yKhzaFDn0KHWoRGsOhcXF0uSzAk82iDsAk8oTJs2TVOnTq3T3rFjx6C9Z5sZQds0AABntOLiYrVo0eK4fcIu8CQkJMjhcCg/Pz+gPT8/X8nJyfWuk5yc3KD+kyZNUlZWlv+1z+dTYWGhWrVqJZutca+pKioqUmpqqnbt2qXY2NhG3Ta+R51DgzqHBnUOHWodGsGqszFGxcXFSklJ+cG+YRd4XC6X+vXrp5ycHI0cOVJSTSDJycnRhAkT6l0nPT1dOTk5uvvuu/1tixYtUnp6er393W633G53QFtcXFxjDP+YYmNj+c8UAtQ5NKhzaFDn0KHWoRGMOv/QkZ1aYRd4JCkrK0tjx45V//79NWDAAM2aNUulpaUaN26cJOmmm25S27ZtNW3aNEnSxIkTdeGFF2rGjBm67LLLNGfOHK1YsUIvvvhiU+4GAAAIE2EZeEaNGqW9e/dq8uTJysvLU+/evbVgwQL/xOSdO3fKbv/+ArMf//jHeu211/Twww/rwQcfVNeuXTVv3jyde+65TbULAAAgjIRl4JGkCRMmHPMUVm5ubp226667Ttddd12QR9Vwbrdb2dnZdU6hoXFR59CgzqFBnUOHWodGONTZZk7kWi4AAIDTWNjdeBAAAKCxEXgAAIDlEXgAAIDlEXgAAIDlEXiC6Nlnn1VaWpoiIyM1cOBALV++vKmHFNY++ugjXXHFFUpJSZHNZtO8efMClhtjNHnyZLVp00ZRUVHKyMjQpk2bAvoUFhZq9OjRio2NVVxcnG699VaVlJQE9Pnqq690wQUXKDIyUqmpqXriiSeCvWthZdq0afrRj36k5s2bKzExUSNHjtTGjRsD+lRUVGj8+PFq1aqVYmJidM0119S5m/nOnTt12WWXKTo6WomJibrvvvtUXV0d0Cc3N1d9+/aV2+1Wly5dNHv27GDvXth4/vnn1bNnT/+N1tLT0/X+++/7l1Pj4Jg+fbpsNlvAjWip9ambMmWKbDZbwEf37t39y0+LGhsExZw5c4zL5TKvvPKK+d///mduu+02ExcXZ/Lz85t6aGFr/vz55qGHHjL/+te/jCTz73//O2D59OnTTYsWLcy8efPMl19+aa688krTsWNHU15e7u/zk5/8xPTq1ct89tln5uOPPzZdunQxN954o3/5oUOHTFJSkhk9erRZu3at+ec//2mioqLMn//851DtZpPLzMw0r776qlm7dq1Zs2aNufTSS0379u1NSUmJv88dd9xhUlNTTU5OjlmxYoUZNGiQ+fGPf+xfXl1dbc4991yTkZFhVq9ebebPn28SEhLMpEmT/H22bt1qoqOjTVZWllm3bp155plnjMPhMAsWLAjp/jaVt99+27z33nvmm2++MRs3bjQPPvigcTqdZu3atcYYahwMy5cvN2lpaaZnz55m4sSJ/nZqfeqys7PNOeecY/bs2eP/2Lt3r3/56VBjAk+QDBgwwIwfP97/2uv1mpSUFDNt2rQmHNXp4+jA4/P5THJysnnyySf9bQcPHjRut9v885//NMYYs27dOiPJfPHFF/4+77//vrHZbGb37t3GGGOee+4507JlS1NZWenvc//995tu3boFeY/CV0FBgZFkPvzwQ2NMTV2dTqd54403/H3Wr19vJJlly5YZY2rCqd1uN3l5ef4+zz//vImNjfXX9je/+Y0555xzAt5r1KhRJjMzM9i7FLZatmxpXn75ZWocBMXFxaZr165m0aJF5sILL/QHHmrdOLKzs02vXr3qXXa61JhTWkFQVVWllStXKiMjw99mt9uVkZGhZcuWNeHITl/btm1TXl5eQE1btGihgQMH+mu6bNkyxcXFqX///v4+GRkZstvt+vzzz/19hgwZIpfL5e+TmZmpjRs36sCBAyHam/By6NAhSVJ8fLwkaeXKlfJ4PAG17t69u9q3bx9Q6/POO89/93Oppo5FRUX63//+5+9z5DZq+5yJ/we8Xq/mzJmj0tJSpaenU+MgGD9+vC677LI69aDWjWfTpk1KSUlRp06dNHr0aO3cuVPS6VNjAk8Q7Nu3T16vN+ALK0lJSUnKy8trolGd3mrrdrya5uXlKTExMWB5RESE4uPjA/rUt40j3+NM4vP5dPfdd2vw4MH+R7Hk5eXJ5XLVeaDu0bX+oToeq09RUZHKy8uDsTth5+uvv1ZMTIzcbrfuuOMO/fvf/1aPHj2ocSObM2eOVq1a5X++4pGodeMYOHCgZs+erQULFuj555/Xtm3bdMEFF6i4uPi0qXHYPloCQPCNHz9ea9eu1SeffNLUQ7Gkbt26ac2aNTp06JDefPNNjR07Vh9++GFTD8tSdu3apYkTJ2rRokWKjIxs6uFY1iWXXOL/vGfPnho4cKA6dOig119/XVFRUU04shPHEZ4gSEhIkMPhqDNDPT8/X8nJyU00qtNbbd2OV9Pk5GQVFBQELK+urlZhYWFAn/q2ceR7nCkmTJigd999V0uWLFG7du387cnJyaqqqtLBgwcD+h9d6x+q47H6xMbGnjY/IE+Vy+VSly5d1K9fP02bNk29evXS008/TY0b0cqVK1VQUKC+ffsqIiJCERER+vDDD/XHP/5RERERSkpKotZBEBcXp7POOkubN28+bb6fCTxB4HK51K9fP+Xk5PjbfD6fcnJylJ6e3oQjO3117NhRycnJATUtKirS559/7q9penq6Dh48qJUrV/r7LF68WD6fTwMHDvT3+eijj+TxePx9Fi1apG7duqlly5Yh2pumZYzRhAkT9O9//1uLFy9Wx44dA5b369dPTqczoNYbN27Uzp07A2r99ddfBwTMRYsWKTY2Vj169PD3OXIbtX3O5P8DPp9PlZWV1LgRDR8+XF9//bXWrFnj/+jfv79Gjx7t/5xaN76SkhJt2bJFbdq0OX2+nxtl6jPqmDNnjnG73Wb27Nlm3bp15vbbbzdxcXEBM9QRqLi42KxevdqsXr3aSDIzZ840q1evNjt27DDG1FyWHhcXZ/7zn/+Yr776ylx11VX1Xpbep08f8/nnn5tPPvnEdO3aNeCy9IMHD5qkpCQzZswYs3btWjNnzhwTHR19Rl2Wfuedd5oWLVqY3NzcgEtMy8rK/H3uuOMO0759e7N48WKzYsUKk56ebtLT0/3Lay8xHTFihFmzZo1ZsGCBad26db2XmN53331m/fr15tlnnz2jLuN94IEHzIcffmi2bdtmvvrqK/PAAw8Ym81mFi5caIyhxsF05FVaxlDrxnDPPfeY3Nxcs23bNrN06VKTkZFhEhISTEFBgTHm9KgxgSeInnnmGdO+fXvjcrnMgAEDzGeffdbUQwprS5YsMZLqfIwdO9YYU3Np+m9/+1uTlJRk3G63GT58uNm4cWPANvbv329uvPFGExMTY2JjY824ceNMcXFxQJ8vv/zSnH/++cbtdpu2bdua6dOnh2oXw0J9NZZkXn31VX+f8vJyc9ddd5mWLVua6Ohoc/XVV5s9e/YEbGf79u3mkksuMVFRUSYhIcHcc889xuPxBPRZsmSJ6d27t3G5XKZTp04B72F1t9xyi+nQoYNxuVymdevWZvjw4f6wYww1DqajAw+1PnWjRo0ybdq0MS6Xy7Rt29aMGjXKbN682b/8dKixzRhjGudYEQAAQHhiDg8AALA8Ag8AALA8Ag8AALA8Ag8AALA8Ag8AALA8Ag8AALA8Ag8AALA8Ag+AoLLZbBo6dGhTD6PR5ObmymazacqUKU09FAANQOABEHI333yzbDabtm/f3tRDqZfVQhoAKaKpBwDA2tavX6/o6OimHkajGTBggNavX6+EhISmHgqABiDwAAiq7t27N/UQGlV0dLTl9gk4E3BKC4CkwLkpK1as0MUXX6zmzZurRYsWuvrqq0/69NPRp4fS0tL017/+VZLUsWNH2Wy2ek8hbdu2TT//+c/Vvn17ud1utWnTRjfffLN27NhxzPfYvXu3brrpJiUnJ8tutys3N1eStGTJEt1yyy3q1q2bYmJiFBMTo/79++vFF1+stwaS9OGHH/rHZrPZNHv27Dp1OtratWt1/fXXKzExUW63Wx07dtTdd9+t/fv31+mblpamtLQ0lZSUaOLEiUpJSZHb7VbPnj315ptv1ul/6NAhTZ48WT169FBMTIxiY2PVpUsXjR07tt6aAAjEER4AAb744gs98cQTGjZsmH7xi19o9erVmjdvnr7++mutXbtWkZGRp7T9u+++W7Nnz9aXX36piRMnKi4uTlJNAKj1+eefKzMzU6Wlpbr88svVtWtXbd++Xf/4xz/0/vvva9myZerUqVPAdvfv36/09HTFx8frhhtuUEVFhWJjYyVJv//977V582YNGjRIV199tQ4ePKgFCxboF7/4hTZu3KgZM2b4x5Cdna2pU6eqQ4cOuvnmm/3b792793H365NPPlFmZqaqqqp07bXXKi0tTcuWLdPTTz+td999V5999lmd02Aej0cjRozQgQMHdM0116isrExz5szR9ddfrwULFmjEiBGSJGOMMjMz9fnnn2vw4MH6yU9+Irvdrh07dujtt9/WmDFj1KFDh5P4agBnkEZ77jqA09qSJUuMJCPJzJkzJ2DZmDFjjCTzz3/+s8HblWQuvPDCgLaxY8caSWbbtm11+ldVVZm0tDTTvHlzs2rVqoBlH3/8sXE4HObyyy+v8x6SzLhx40x1dXWdbW7durVOm8fjMRdffLFxOBxmx44dPzjmWrV1ys7O9rd5vV7TuXNnI8ksWLAgoP99991nJJlbbrkloL1Dhw5GkrnqqqtMZWWlv/2DDz4wkkxmZqa/7auvvjKSzMiRI+uMp6KiwhQXF9c7VgDf45QWgABDhgzRqFGjAtpuueUWSTVHf4Lt3Xff1fbt23XfffepT58+AcvOP/98XXXVVZo/f76KiooClrlcLj3xxBNyOBx1ttmxY8c6bREREbrjjjvk9Xq1ZMmSUxrz0qVLtWXLFl1yySXKzMwMWDZ58mTFx8frtddeU1VVVZ11//CHP8jlcvlfDx8+XB06dKi31lFRUXXa3G63YmJiTmn8wJmAU1oAAvTr169OW7t27SRJBw8eDPr7f/bZZ5KkjRs31jtPJi8vTz6fT99884369+/vb+/YseMxr5wqLi7WU089pXnz5mnLli0qLS0NWP7dd9+d0phXr14tSfVeyl47X2jhwoXauHGjzjvvPP+yuLi4esNYu3bttGzZMv/rs88+Wz179tQ///lPffvttxo5cqSGDh2q3r17y27n71bgRBB4AASonfdypIiImh8VXq836O9fWFgoSfrHP/5x3H5Hh5akpKR6+1VVVWno0KFatWqV+vTpozFjxqhVq1aKiIjQ9u3b9de//lWVlZWnNObao03HGkObNm0C+tVq0aJFvf0jIiLk8/kCXi9evFhTpkzRW2+9pXvuuUeS1Lp1a02YMEEPPfRQvUe2AHyPwAMgrNQGrnfeeUeXX375Ca9Xe3XV0f7zn/9o1apVuvXWW/Xyyy8HLJszZ47/irFTUTvm/Pz8epfn5eUF9DsZrVq10jPPPKM//vGP2rBhgxYvXqxnnnlG2dnZcjqdmjRp0klvGzgTcCwUQMjVHo2o74jRwIEDJSnglM6p2LJliyTpqquuqrPs448/rncdu93eoKNZtXONai+DP1JpaalWrFihqKgodevW7YS3eSw2m01nn322xo8fr0WLFkmS3n777VPeLmB1BB4AIRcfHy9J2rVrV51lV111ldq3b6+ZM2fqo48+qrPc4/Hok08+OeH3qr1c++h1PvzwQ7300kvHHN+33357wu8xePBgde7cWe+//74++OCDgGWPPvqo9u/frxtvvDFgcnJDbN++vd77INUeUTrVWwUAZwJOaQEIuYsuukhPPfWUbr/9dl1zzTVq1qyZOnTooDFjxsjtduvNN9/UJZdcogsvvFAXXXSRzjvvPNlsNu3YsUMff/yxWrVqpQ0bNpzQe11xxRVKS0vTE088obVr1+rcc8/Vxo0b9e677+rqq6+u9yZ/F110kV5//XWNHDlSffr0kcPh0JVXXqmePXvW+x52u12zZ89WZmamLr30Ul133XXq0KGDli1bptzcXHXu3FnTp08/6XqtWbNGP/3pTzVgwAD16NFDycnJ2r17t+bNmye73a5f//rXJ71t4ExB4AEQcpdccomeeOIJvfTSS5oxY4Y8Ho8uvPBCjRkzRpL0ox/9SF9++aWefPJJzZ8/X0uXLpXb7Vbbtm01cuRI3XjjjSf8XjExMVq8eLHuu+8+ffTRR8rNzdU555yjf/zjH0pKSqo38Dz99NOSpMWLF+udd96Rz+dTu3btjhl4pJpL5j/77DP97ne/08KFC3Xo0CGlpKRo4sSJevjhh0/p2Vv9+/fX/fffr9zcXL333ns6ePCgkpOTlZGRofvuu0+DBg066W0DZwqbMcY09SAAAACCiTk8AADA8gg8AADA8pjDA6BBZs2adUJ3XL755psDHggKAE2JOTwAGiQtLU07duz4wX5Lliyp91ELANAUCDwAAMDymMMDAAAsj8ADAAAsj8ADAAAsj8ADAAAsj8ADAAAsj8ADAAAsj8ADAAAsj8ADAAAsj8ADAAAs7/8DqCGiBVovThIAAAAASUVORK5CYII=",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -206,16 +206,16 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.222721Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.222477Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.340049Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.339765Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.512046Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.510704Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.614851Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.614595Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -242,10 +242,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.341934Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.341784Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.354013Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.353613Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.616481Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.616370Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.625528Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.625279Z"
     }
    },
    "outputs": [
@@ -253,13 +253,13 @@
      "data": {
       "text/plain": [
        "defaultdict(Zeros (),\n",
-       "            {'politics': 0.06389451550325113,\n",
-       "             'music': -0.04041254194187752,\n",
-       "             'finance': -0.040319730234734,\n",
-       "             'camping': -0.03581829597317823,\n",
-       "             'food': -0.037778771188204816,\n",
-       "             'health': -0.04029646665611086,\n",
-       "             'sports': -0.03661678982763635})"
+       "            {'finance': 0.0,\n",
+       "             'politics': 0.0,\n",
+       "             'music': 0.0,\n",
+       "             'health': 0.0,\n",
+       "             'sports': 0.0,\n",
+       "             'camping': 0.0,\n",
+       "             'food': 0.0})"
       ]
      },
      "execution_count": 5,
@@ -284,16 +284,16 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.355858Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.355742Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.470356Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.469937Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.627378Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.627242Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.706788Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.706478Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -327,16 +327,16 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.472267Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.472146Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.623349Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.623062Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.708558Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.708446Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.831339Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.831092Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -383,10 +383,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.625183Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.625070Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.638642Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.638322Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.833117Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.833018Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.841532Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.841238Z"
     }
    },
    "outputs": [],
@@ -419,10 +419,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.640459Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.640372Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.653081Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.652733Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.843341Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.843256Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.851215Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.850947Z"
     }
    },
    "outputs": [],
@@ -464,10 +464,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.655075Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.654960Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.667223Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.666879Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.853951Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.853844Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.862054Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.861773Z"
     }
    },
    "outputs": [
@@ -500,16 +500,16 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.668994Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.668865Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.813901Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.813617Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.863720Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.863619Z",
+     "iopub.status.idle": "2023-11-09T07:13:57.985531Z",
+     "shell.execute_reply": "2023-11-09T07:13:57.985269Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -537,16 +537,16 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.815797Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.815645Z",
-     "iopub.status.idle": "2023-09-02T00:49:28.968182Z",
-     "shell.execute_reply": "2023-09-02T00:49:28.967884Z"
+     "iopub.execute_input": "2023-11-09T07:13:57.987101Z",
+     "iopub.status.busy": "2023-11-09T07:13:57.987012Z",
+     "iopub.status.idle": "2023-11-09T07:13:58.115909Z",
+     "shell.execute_reply": "2023-11-09T07:13:58.115635Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -583,10 +583,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:28.970266Z",
-     "iopub.status.busy": "2023-09-02T00:49:28.970152Z",
-     "iopub.status.idle": "2023-09-02T00:49:29.025413Z",
-     "shell.execute_reply": "2023-09-02T00:49:29.025061Z"
+     "iopub.execute_input": "2023-11-09T07:13:58.117688Z",
+     "iopub.status.busy": "2023-11-09T07:13:58.117560Z",
+     "iopub.status.idle": "2023-11-09T07:13:58.162543Z",
+     "shell.execute_reply": "2023-11-09T07:13:58.162305Z"
     }
    },
    "outputs": [
@@ -594,25 +594,25 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_0943a_row0_col5, #T_0943a_row1_col6, #T_0943a_row2_col4, #T_0943a_row3_col5 {\n",
+       "#T_57d05_row0_col5, #T_57d05_row1_col0, #T_57d05_row2_col4, #T_57d05_row3_col5 {\n",
        "  background-color: lightgreen;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_0943a_\">\n",
+       "<table id=\"T_57d05\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th class=\"col_heading level0 col0\" colspan=\"7\">preference</th>\n",
+       "      <th id=\"T_57d05_level0_col0\" class=\"col_heading level0 col0\" colspan=\"7\">preference</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level1\" >item</th>\n",
-       "      <th class=\"col_heading level1 col0\" >camping</th>\n",
-       "      <th class=\"col_heading level1 col1\" >finance</th>\n",
-       "      <th class=\"col_heading level1 col2\" >food</th>\n",
-       "      <th class=\"col_heading level1 col3\" >health</th>\n",
-       "      <th class=\"col_heading level1 col4\" >music</th>\n",
-       "      <th class=\"col_heading level1 col5\" >politics</th>\n",
-       "      <th class=\"col_heading level1 col6\" >sports</th>\n",
+       "      <th id=\"T_57d05_level1_col0\" class=\"col_heading level1 col0\" >camping</th>\n",
+       "      <th id=\"T_57d05_level1_col1\" class=\"col_heading level1 col1\" >finance</th>\n",
+       "      <th id=\"T_57d05_level1_col2\" class=\"col_heading level1 col2\" >food</th>\n",
+       "      <th id=\"T_57d05_level1_col3\" class=\"col_heading level1 col3\" >health</th>\n",
+       "      <th id=\"T_57d05_level1_col4\" class=\"col_heading level1 col4\" >music</th>\n",
+       "      <th id=\"T_57d05_level1_col5\" class=\"col_heading level1 col5\" >politics</th>\n",
+       "      <th id=\"T_57d05_level1_col6\" class=\"col_heading level1 col6\" >sports</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >user</th>\n",
@@ -627,50 +627,50 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_0943a_level0_row0\" class=\"row_heading level0 row0\" >Anna@afternoon</th>\n",
-       "      <td id=\"T_0943a_row0_col0\" class=\"data row0 col0\" >-0.059041</td>\n",
-       "      <td id=\"T_0943a_row0_col1\" class=\"data row0 col1\" >-0.018105</td>\n",
-       "      <td id=\"T_0943a_row0_col2\" class=\"data row0 col2\" >0.069222</td>\n",
-       "      <td id=\"T_0943a_row0_col3\" class=\"data row0 col3\" >0.032865</td>\n",
-       "      <td id=\"T_0943a_row0_col4\" class=\"data row0 col4\" >0.168353</td>\n",
-       "      <td id=\"T_0943a_row0_col5\" class=\"data row0 col5\" >1.000000</td>\n",
-       "      <td id=\"T_0943a_row0_col6\" class=\"data row0 col6\" >0.195960</td>\n",
+       "      <th id=\"T_57d05_level0_row0\" class=\"row_heading level0 row0\" >Anna@afternoon</th>\n",
+       "      <td id=\"T_57d05_row0_col0\" class=\"data row0 col0\" >0.009727</td>\n",
+       "      <td id=\"T_57d05_row0_col1\" class=\"data row0 col1\" >0.042877</td>\n",
+       "      <td id=\"T_57d05_row0_col2\" class=\"data row0 col2\" >0.005421</td>\n",
+       "      <td id=\"T_57d05_row0_col3\" class=\"data row0 col3\" >-0.089900</td>\n",
+       "      <td id=\"T_57d05_row0_col4\" class=\"data row0 col4\" >-0.143453</td>\n",
+       "      <td id=\"T_57d05_row0_col5\" class=\"data row0 col5\" >1.000000</td>\n",
+       "      <td id=\"T_57d05_row0_col6\" class=\"data row0 col6\" >-0.113309</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0943a_level0_row1\" class=\"row_heading level0 row1\" >Anna@morning</th>\n",
-       "      <td id=\"T_0943a_row1_col0\" class=\"data row1 col0\" >-0.136399</td>\n",
-       "      <td id=\"T_0943a_row1_col1\" class=\"data row1 col1\" >-0.117577</td>\n",
-       "      <td id=\"T_0943a_row1_col2\" class=\"data row1 col2\" >0.076300</td>\n",
-       "      <td id=\"T_0943a_row1_col3\" class=\"data row1 col3\" >0.081131</td>\n",
-       "      <td id=\"T_0943a_row1_col4\" class=\"data row1 col4\" >0.154483</td>\n",
-       "      <td id=\"T_0943a_row1_col5\" class=\"data row1 col5\" >0.221890</td>\n",
-       "      <td id=\"T_0943a_row1_col6\" class=\"data row1 col6\" >1.000000</td>\n",
+       "      <th id=\"T_57d05_level0_row1\" class=\"row_heading level0 row1\" >Anna@morning</th>\n",
+       "      <td id=\"T_57d05_row1_col0\" class=\"data row1 col0\" >0.000000</td>\n",
+       "      <td id=\"T_57d05_row1_col1\" class=\"data row1 col1\" >0.000000</td>\n",
+       "      <td id=\"T_57d05_row1_col2\" class=\"data row1 col2\" >0.000000</td>\n",
+       "      <td id=\"T_57d05_row1_col3\" class=\"data row1 col3\" >-0.044113</td>\n",
+       "      <td id=\"T_57d05_row1_col4\" class=\"data row1 col4\" >-0.164195</td>\n",
+       "      <td id=\"T_57d05_row1_col5\" class=\"data row1 col5\" >0.000000</td>\n",
+       "      <td id=\"T_57d05_row1_col6\" class=\"data row1 col6\" >-0.013165</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0943a_level0_row2\" class=\"row_heading level0 row2\" >Tom@afternoon</th>\n",
-       "      <td id=\"T_0943a_row2_col0\" class=\"data row2 col0\" >-0.233071</td>\n",
-       "      <td id=\"T_0943a_row2_col1\" class=\"data row2 col1\" >0.057220</td>\n",
-       "      <td id=\"T_0943a_row2_col2\" class=\"data row2 col2\" >-0.074671</td>\n",
-       "      <td id=\"T_0943a_row2_col3\" class=\"data row2 col3\" >-0.027115</td>\n",
-       "      <td id=\"T_0943a_row2_col4\" class=\"data row2 col4\" >1.000000</td>\n",
-       "      <td id=\"T_0943a_row2_col5\" class=\"data row2 col5\" >0.163607</td>\n",
-       "      <td id=\"T_0943a_row2_col6\" class=\"data row2 col6\" >0.141781</td>\n",
+       "      <th id=\"T_57d05_level0_row2\" class=\"row_heading level0 row2\" >Tom@afternoon</th>\n",
+       "      <td id=\"T_57d05_row2_col0\" class=\"data row2 col0\" >-0.044299</td>\n",
+       "      <td id=\"T_57d05_row2_col1\" class=\"data row2 col1\" >0.099239</td>\n",
+       "      <td id=\"T_57d05_row2_col2\" class=\"data row2 col2\" >0.037974</td>\n",
+       "      <td id=\"T_57d05_row2_col3\" class=\"data row2 col3\" >-0.097214</td>\n",
+       "      <td id=\"T_57d05_row2_col4\" class=\"data row2 col4\" >1.000000</td>\n",
+       "      <td id=\"T_57d05_row2_col5\" class=\"data row2 col5\" >-0.172445</td>\n",
+       "      <td id=\"T_57d05_row2_col6\" class=\"data row2 col6\" >0.012231</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0943a_level0_row3\" class=\"row_heading level0 row3\" >Tom@morning</th>\n",
-       "      <td id=\"T_0943a_row3_col0\" class=\"data row3 col0\" >-0.050107</td>\n",
-       "      <td id=\"T_0943a_row3_col1\" class=\"data row3 col1\" >-0.028562</td>\n",
-       "      <td id=\"T_0943a_row3_col2\" class=\"data row3 col2\" >0.061163</td>\n",
-       "      <td id=\"T_0943a_row3_col3\" class=\"data row3 col3\" >-0.005428</td>\n",
-       "      <td id=\"T_0943a_row3_col4\" class=\"data row3 col4\" >0.063483</td>\n",
-       "      <td id=\"T_0943a_row3_col5\" class=\"data row3 col5\" >1.000000</td>\n",
-       "      <td id=\"T_0943a_row3_col6\" class=\"data row3 col6\" >0.125515</td>\n",
+       "      <th id=\"T_57d05_level0_row3\" class=\"row_heading level0 row3\" >Tom@morning</th>\n",
+       "      <td id=\"T_57d05_row3_col0\" class=\"data row3 col0\" >-0.023693</td>\n",
+       "      <td id=\"T_57d05_row3_col1\" class=\"data row3 col1\" >0.020042</td>\n",
+       "      <td id=\"T_57d05_row3_col2\" class=\"data row3 col2\" >-0.002125</td>\n",
+       "      <td id=\"T_57d05_row3_col3\" class=\"data row3 col3\" >-0.114500</td>\n",
+       "      <td id=\"T_57d05_row3_col4\" class=\"data row3 col4\" >-0.165890</td>\n",
+       "      <td id=\"T_57d05_row3_col5\" class=\"data row3 col5\" >1.000000</td>\n",
+       "      <td id=\"T_57d05_row3_col6\" class=\"data row3 col6\" >-0.096596</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x13bff55a0>"
+       "<pandas.io.formats.style.Styler at 0x13aee4450>"
       ]
      },
      "execution_count": 13,
@@ -716,7 +716,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/debugging-a-pipeline.ipynb b/docs/examples/debugging-a-pipeline.ipynb
index ac14e935af..dedc043a77 100644
--- a/docs/examples/debugging-a-pipeline.ipynb
+++ b/docs/examples/debugging-a-pipeline.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:30.394238Z",
-     "iopub.status.busy": "2023-09-02T00:49:30.393986Z",
-     "iopub.status.idle": "2023-09-02T00:49:41.362597Z",
-     "shell.execute_reply": "2023-09-02T00:49:41.362266Z"
+     "iopub.execute_input": "2023-11-09T07:13:59.191790Z",
+     "iopub.status.busy": "2023-11-09T07:13:59.191005Z",
+     "iopub.status.idle": "2023-11-09T07:14:08.483952Z",
+     "shell.execute_reply": "2023-11-09T07:14:08.483636Z"
     },
     "tags": []
    },
@@ -105,10 +105,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:41.364443Z",
-     "iopub.status.busy": "2023-09-02T00:49:41.364253Z",
-     "iopub.status.idle": "2023-09-02T00:49:41.386868Z",
-     "shell.execute_reply": "2023-09-02T00:49:41.386606Z"
+     "iopub.execute_input": "2023-11-09T07:14:08.485645Z",
+     "iopub.status.busy": "2023-11-09T07:14:08.485481Z",
+     "iopub.status.idle": "2023-11-09T07:14:08.500960Z",
+     "shell.execute_reply": "2023-11-09T07:14:08.500710Z"
     },
     "tags": []
    },
@@ -331,10 +331,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:41.388613Z",
-     "iopub.status.busy": "2023-09-02T00:49:41.388503Z",
-     "iopub.status.idle": "2023-09-02T00:49:41.403489Z",
-     "shell.execute_reply": "2023-09-02T00:49:41.403226Z"
+     "iopub.execute_input": "2023-11-09T07:14:08.502443Z",
+     "iopub.status.busy": "2023-11-09T07:14:08.502348Z",
+     "iopub.status.idle": "2023-11-09T07:14:08.511537Z",
+     "shell.execute_reply": "2023-11-09T07:14:08.511292Z"
     },
     "tags": []
    },
@@ -405,15 +405,15 @@
       "\n",
       "4. LinearRegression\n",
       "-------------------\n",
-      "Name       Value      Weight     Contribution  \n",
-      "Intercept   1.00000    9.19960        9.19960  \n",
-      "y_ewm_0.5_by_station  0.19640    9.19349        1.80562  \n",
-      "humidity    1.16366    1.01680        1.18320  \n",
-      "temperature -0.51938   -0.41575        0.21593  \n",
-      "    wind   -0.69426   -0.03810        0.02645  \n",
-      "pressure    0.04916    0.18321        0.00901  \n",
-      "y_mean_by_station_and_hour -0.27110    0.19553       -0.05301  \n",
-      "  clouds    1.54778   -0.32838       -0.50827  \n",
+      "Name                         Value      Weight     Contribution  \n",
+      "                 Intercept    1.00000    9.19960        9.19960  \n",
+      "      y_ewm_0.5_by_station    0.19640    9.19349        1.80562  \n",
+      "                  humidity    1.16366    1.01680        1.18320  \n",
+      "               temperature   -0.51938   -0.41575        0.21593  \n",
+      "                      wind   -0.69426   -0.03810        0.02645  \n",
+      "                  pressure    0.04916    0.18321        0.00901  \n",
+      "y_mean_by_station_and_hour   -0.27110    0.19553       -0.05301  \n",
+      "                    clouds    1.54778   -0.32838       -0.50827  \n",
       "\n",
       "Prediction: 11.87854\n"
      ]
@@ -447,7 +447,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/imbalanced-learning.ipynb b/docs/examples/imbalanced-learning.ipynb
index 815b19b31c..bfa927a870 100644
--- a/docs/examples/imbalanced-learning.ipynb
+++ b/docs/examples/imbalanced-learning.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:42.902654Z",
-     "iopub.status.busy": "2023-09-02T00:49:42.902258Z",
-     "iopub.status.idle": "2023-09-02T00:49:45.426420Z",
-     "shell.execute_reply": "2023-09-02T00:49:45.425895Z"
+     "iopub.execute_input": "2023-11-09T07:14:09.563203Z",
+     "iopub.status.busy": "2023-11-09T07:14:09.562696Z",
+     "iopub.status.idle": "2023-11-09T07:14:12.104372Z",
+     "shell.execute_reply": "2023-11-09T07:14:12.103931Z"
     },
     "tags": []
    },
@@ -69,10 +69,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:49:45.428695Z",
-     "iopub.status.busy": "2023-09-02T00:49:45.428513Z",
-     "iopub.status.idle": "2023-09-02T00:50:06.626723Z",
-     "shell.execute_reply": "2023-09-02T00:50:06.626362Z"
+     "iopub.execute_input": "2023-11-09T07:14:12.106717Z",
+     "iopub.status.busy": "2023-11-09T07:14:12.106483Z",
+     "iopub.status.idle": "2023-11-09T07:14:29.763539Z",
+     "shell.execute_reply": "2023-11-09T07:14:29.763248Z"
     },
     "tags": []
    },
@@ -126,10 +126,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:50:06.628489Z",
-     "iopub.status.busy": "2023-09-02T00:50:06.628395Z",
-     "iopub.status.idle": "2023-09-02T00:50:27.706492Z",
-     "shell.execute_reply": "2023-09-02T00:50:27.706173Z"
+     "iopub.execute_input": "2023-11-09T07:14:29.765284Z",
+     "iopub.status.busy": "2023-11-09T07:14:29.765167Z",
+     "iopub.status.idle": "2023-11-09T07:14:47.409515Z",
+     "shell.execute_reply": "2023-11-09T07:14:47.409255Z"
     },
     "tags": []
    },
@@ -174,10 +174,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:50:27.708255Z",
-     "iopub.status.busy": "2023-09-02T00:50:27.708123Z",
-     "iopub.status.idle": "2023-09-02T00:50:48.906869Z",
-     "shell.execute_reply": "2023-09-02T00:50:48.906567Z"
+     "iopub.execute_input": "2023-11-09T07:14:47.411111Z",
+     "iopub.status.busy": "2023-11-09T07:14:47.410990Z",
+     "iopub.status.idle": "2023-11-09T07:15:04.959874Z",
+     "shell.execute_reply": "2023-11-09T07:15:04.959580Z"
     },
     "tags": []
    },
@@ -223,10 +223,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:50:48.908750Z",
-     "iopub.status.busy": "2023-09-02T00:50:48.908631Z",
-     "iopub.status.idle": "2023-09-02T00:51:07.329925Z",
-     "shell.execute_reply": "2023-09-02T00:51:07.329621Z"
+     "iopub.execute_input": "2023-11-09T07:15:04.961552Z",
+     "iopub.status.busy": "2023-11-09T07:15:04.961454Z",
+     "iopub.status.idle": "2023-11-09T07:15:21.026123Z",
+     "shell.execute_reply": "2023-11-09T07:15:21.025870Z"
     },
     "tags": []
    },
@@ -271,10 +271,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:51:07.331679Z",
-     "iopub.status.busy": "2023-09-02T00:51:07.331568Z",
-     "iopub.status.idle": "2023-09-02T00:51:07.352762Z",
-     "shell.execute_reply": "2023-09-02T00:51:07.352509Z"
+     "iopub.execute_input": "2023-11-09T07:15:21.027820Z",
+     "iopub.status.busy": "2023-11-09T07:15:21.027720Z",
+     "iopub.status.idle": "2023-11-09T07:15:21.042562Z",
+     "shell.execute_reply": "2023-11-09T07:15:21.042314Z"
     },
     "tags": []
    },
@@ -486,10 +486,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:51:07.354551Z",
-     "iopub.status.busy": "2023-09-02T00:51:07.354436Z",
-     "iopub.status.idle": "2023-09-02T00:51:29.235692Z",
-     "shell.execute_reply": "2023-09-02T00:51:29.235410Z"
+     "iopub.execute_input": "2023-11-09T07:15:21.044039Z",
+     "iopub.status.busy": "2023-11-09T07:15:21.043955Z",
+     "iopub.status.idle": "2023-11-09T07:15:39.917985Z",
+     "shell.execute_reply": "2023-11-09T07:15:39.917704Z"
     },
     "tags": []
    },
@@ -534,10 +534,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:51:29.237458Z",
-     "iopub.status.busy": "2023-09-02T00:51:29.237345Z",
-     "iopub.status.idle": "2023-09-02T00:51:47.662009Z",
-     "shell.execute_reply": "2023-09-02T00:51:47.661713Z"
+     "iopub.execute_input": "2023-11-09T07:15:39.919655Z",
+     "iopub.status.busy": "2023-11-09T07:15:39.919554Z",
+     "iopub.status.idle": "2023-11-09T07:15:55.141745Z",
+     "shell.execute_reply": "2023-11-09T07:15:55.141444Z"
     },
     "tags": []
    },
@@ -583,10 +583,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:51:47.663651Z",
-     "iopub.status.busy": "2023-09-02T00:51:47.663535Z",
-     "iopub.status.idle": "2023-09-02T00:52:06.237014Z",
-     "shell.execute_reply": "2023-09-02T00:52:06.236703Z"
+     "iopub.execute_input": "2023-11-09T07:15:55.143849Z",
+     "iopub.status.busy": "2023-11-09T07:15:55.143695Z",
+     "iopub.status.idle": "2023-11-09T07:16:10.513167Z",
+     "shell.execute_reply": "2023-11-09T07:16:10.512873Z"
     },
     "tags": []
    },
@@ -636,7 +636,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/matrix-factorization-for-recommender-systems/part-1.ipynb b/docs/examples/matrix-factorization-for-recommender-systems/part-1.ipynb
index a127737eb7..5df71eab68 100644
--- a/docs/examples/matrix-factorization-for-recommender-systems/part-1.ipynb
+++ b/docs/examples/matrix-factorization-for-recommender-systems/part-1.ipynb
@@ -92,10 +92,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:23:57.769553Z",
-     "iopub.status.busy": "2023-09-02T09:23:57.768668Z",
-     "iopub.status.idle": "2023-09-02T09:23:59.110942Z",
-     "shell.execute_reply": "2023-09-02T09:23:59.110580Z"
+     "iopub.execute_input": "2023-11-09T07:19:30.152437Z",
+     "iopub.status.busy": "2023-11-09T07:19:30.152168Z",
+     "iopub.status.idle": "2023-11-09T07:19:30.653284Z",
+     "shell.execute_reply": "2023-11-09T07:19:30.653022Z"
     }
    },
    "outputs": [
@@ -103,8 +103,6 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Downloading https://maxhalford.github.io/files/datasets/ml_100k.zip (1.83 MB)\n",
-      "Uncompressing into /Users/max/river_data/MovieLens100K\n",
       "x = {\n",
       "    \"user\": \"259\",\n",
       "    \"item\": \"255\",\n",
@@ -144,10 +142,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:23:59.113085Z",
-     "iopub.status.busy": "2023-09-02T09:23:59.112881Z",
-     "iopub.status.idle": "2023-09-02T09:23:59.144637Z",
-     "shell.execute_reply": "2023-09-02T09:23:59.144346Z"
+     "iopub.execute_input": "2023-11-09T07:19:30.673956Z",
+     "iopub.status.busy": "2023-11-09T07:19:30.673778Z",
+     "iopub.status.idle": "2023-11-09T07:19:30.702127Z",
+     "shell.execute_reply": "2023-11-09T07:19:30.701862Z"
     }
    },
    "outputs": [],
@@ -180,10 +178,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:23:59.146456Z",
-     "iopub.status.busy": "2023-09-02T09:23:59.146348Z",
-     "iopub.status.idle": "2023-09-02T09:24:00.520498Z",
-     "shell.execute_reply": "2023-09-02T09:24:00.520052Z"
+     "iopub.execute_input": "2023-11-09T07:19:30.703858Z",
+     "iopub.status.busy": "2023-11-09T07:19:30.703762Z",
+     "iopub.status.idle": "2023-11-09T07:19:31.804702Z",
+     "shell.execute_reply": "2023-11-09T07:19:31.804425Z"
     }
    },
    "outputs": [
@@ -191,10 +189,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[25,000] MAE: 0.934259, RMSE: 1.124469 – 00:00:00 – 514 B\n",
-      "[50,000] MAE: 0.923893, RMSE: 1.105 – 00:00:00 – 514 B\n",
-      "[75,000] MAE: 0.937359, RMSE: 1.123696 – 00:00:01 – 514 B\n",
-      "[100,000] MAE: 0.942162, RMSE: 1.125783 – 00:00:01 – 514 B\n"
+      "[25,000] MAE: 0.934259, RMSE: 1.124469 – 00:00:00 – 898 B\n",
+      "[50,000] MAE: 0.923893, RMSE: 1.105 – 00:00:00 – 898 B\n",
+      "[75,000] MAE: 0.937359, RMSE: 1.123696 – 00:00:00 – 898 B\n",
+      "[100,000] MAE: 0.942162, RMSE: 1.125783 – 00:00:01 – 898 B\n"
      ]
     }
    ],
@@ -243,10 +241,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:00.522525Z",
-     "iopub.status.busy": "2023-09-02T09:24:00.522377Z",
-     "iopub.status.idle": "2023-09-02T09:24:02.249242Z",
-     "shell.execute_reply": "2023-09-02T09:24:02.248988Z"
+     "iopub.execute_input": "2023-11-09T07:19:31.806401Z",
+     "iopub.status.busy": "2023-11-09T07:19:31.806321Z",
+     "iopub.status.idle": "2023-11-09T07:19:33.203936Z",
+     "shell.execute_reply": "2023-11-09T07:19:33.203678Z"
     }
    },
    "outputs": [
@@ -254,10 +252,10 @@
      "name": "stdout",
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      "text": [
-      "[25,000] MAE: 0.761844, RMSE: 0.960972 – 00:00:00 – 173.6 KB\n",
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-      "[100,000] MAE: 0.754651, RMSE: 0.954148 – 00:00:01 – 309.64 KB\n"
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+      "[75,000] MAE: 0.754177, RMSE: 0.953376 – 00:00:01 – 254.81 KB\n",
+      "[100,000] MAE: 0.754651, RMSE: 0.954148 – 00:00:01 – 278.41 KB\n"
      ]
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    ],
@@ -314,10 +312,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:02.250998Z",
-     "iopub.status.busy": "2023-09-02T09:24:02.250911Z",
-     "iopub.status.idle": "2023-09-02T09:24:04.707646Z",
-     "shell.execute_reply": "2023-09-02T09:24:04.707360Z"
+     "iopub.execute_input": "2023-11-09T07:19:33.205610Z",
+     "iopub.status.busy": "2023-11-09T07:19:33.205516Z",
+     "iopub.status.idle": "2023-11-09T07:19:35.421840Z",
+     "shell.execute_reply": "2023-11-09T07:19:35.421552Z"
     }
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    "outputs": [
@@ -325,10 +323,10 @@
      "name": "stdout",
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-      "[25,000] MAE: 1.070136, RMSE: 1.397014 – 00:00:00 – 570.35 KB\n",
-      "[50,000] MAE: 0.99174, RMSE: 1.290666 – 00:00:01 – 716 KB\n",
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-      "[100,000] MAE: 0.944883, RMSE: 1.227688 – 00:00:02 – 945.19 KB\n"
+      "[25,000] MAE: 1.070136, RMSE: 1.397014 – 00:00:00 – 557.99 KB\n",
+      "[50,000] MAE: 0.99174, RMSE: 1.290666 – 00:00:01 – 690.31 KB\n",
+      "[75,000] MAE: 0.961072, RMSE: 1.250842 – 00:00:01 – 813.07 KB\n",
+      "[100,000] MAE: 0.944883, RMSE: 1.227688 – 00:00:02 – 914.17 KB\n"
      ]
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    ],
@@ -382,10 +380,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:04.709466Z",
-     "iopub.status.busy": "2023-09-02T09:24:04.709346Z",
-     "iopub.status.idle": "2023-09-02T09:24:07.491578Z",
-     "shell.execute_reply": "2023-09-02T09:24:07.491259Z"
+     "iopub.execute_input": "2023-11-09T07:19:35.423652Z",
+     "iopub.status.busy": "2023-11-09T07:19:35.423543Z",
+     "iopub.status.idle": "2023-11-09T07:19:37.907491Z",
+     "shell.execute_reply": "2023-11-09T07:19:37.907194Z"
     }
    },
    "outputs": [
@@ -393,10 +391,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
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-      "[100,000] MAE: 0.748559, RMSE: 0.947854 – 00:00:02 – 1.11 MB\n"
+      "[25,000] MAE: 0.761818, RMSE: 0.961057 – 00:00:00 – 643.81 KB\n",
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+      "[100,000] MAE: 0.748559, RMSE: 0.947854 – 00:00:02 – 1.05 MB\n"
      ]
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    ],
@@ -455,7 +453,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/matrix-factorization-for-recommender-systems/part-2.ipynb b/docs/examples/matrix-factorization-for-recommender-systems/part-2.ipynb
index 9eb28d3aa6..88ce4f1c7d 100644
--- a/docs/examples/matrix-factorization-for-recommender-systems/part-2.ipynb
+++ b/docs/examples/matrix-factorization-for-recommender-systems/part-2.ipynb
@@ -81,10 +81,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:08.860210Z",
-     "iopub.status.busy": "2023-09-02T09:24:08.859842Z",
-     "iopub.status.idle": "2023-09-02T09:24:09.275194Z",
-     "shell.execute_reply": "2023-09-02T09:24:09.274737Z"
+     "iopub.execute_input": "2023-11-09T07:19:38.980694Z",
+     "iopub.status.busy": "2023-11-09T07:19:38.980368Z",
+     "iopub.status.idle": "2023-11-09T07:19:39.414414Z",
+     "shell.execute_reply": "2023-11-09T07:19:39.414064Z"
     }
    },
    "outputs": [],
@@ -111,10 +111,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:09.277314Z",
-     "iopub.status.busy": "2023-09-02T09:24:09.277147Z",
-     "iopub.status.idle": "2023-09-02T09:24:15.610729Z",
-     "shell.execute_reply": "2023-09-02T09:24:15.610317Z"
+     "iopub.execute_input": "2023-11-09T07:19:39.416570Z",
+     "iopub.status.busy": "2023-11-09T07:19:39.416390Z",
+     "iopub.status.idle": "2023-11-09T07:19:44.873993Z",
+     "shell.execute_reply": "2023-11-09T07:19:44.873596Z"
     }
    },
    "outputs": [
@@ -122,10 +122,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[25,000] MAE: 0.761761, RMSE: 0.960662 – 00:00:01 – 818.86 KB\n",
-      "[50,000] MAE: 0.751922, RMSE: 0.949783 – 00:00:03 – 948.77 KB\n",
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-      "[100,000] MAE: 0.748393, RMSE: 0.94776 – 00:00:06 – 1.19 MB\n"
+      "[25,000] MAE: 0.761761, RMSE: 0.960662 – 00:00:01 – 778.29 KB\n",
+      "[50,000] MAE: 0.751922, RMSE: 0.949783 – 00:00:02 – 908.2 KB\n",
+      "[75,000] MAE: 0.749822, RMSE: 0.948634 – 00:00:03 – 1.03 MB\n",
+      "[100,000] MAE: 0.748393, RMSE: 0.94776 – 00:00:05 – 1.15 MB\n"
      ]
     }
    ],
@@ -189,10 +189,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:15.612862Z",
-     "iopub.status.busy": "2023-09-02T09:24:15.612710Z",
-     "iopub.status.idle": "2023-09-02T09:24:15.630272Z",
-     "shell.execute_reply": "2023-09-02T09:24:15.629805Z"
+     "iopub.execute_input": "2023-11-09T07:19:44.876288Z",
+     "iopub.status.busy": "2023-11-09T07:19:44.876139Z",
+     "iopub.status.idle": "2023-11-09T07:19:44.889117Z",
+     "shell.execute_reply": "2023-11-09T07:19:44.888503Z"
     }
    },
    "outputs": [
@@ -245,10 +245,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:15.632338Z",
-     "iopub.status.busy": "2023-09-02T09:24:15.632212Z",
-     "iopub.status.idle": "2023-09-02T09:24:15.648735Z",
-     "shell.execute_reply": "2023-09-02T09:24:15.648479Z"
+     "iopub.execute_input": "2023-11-09T07:19:44.890935Z",
+     "iopub.status.busy": "2023-11-09T07:19:44.890832Z",
+     "iopub.status.idle": "2023-11-09T07:19:44.904119Z",
+     "shell.execute_reply": "2023-11-09T07:19:44.903789Z"
     }
    },
    "outputs": [],
@@ -272,10 +272,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:15.650350Z",
-     "iopub.status.busy": "2023-09-02T09:24:15.650257Z",
-     "iopub.status.idle": "2023-09-02T09:24:15.664513Z",
-     "shell.execute_reply": "2023-09-02T09:24:15.664250Z"
+     "iopub.execute_input": "2023-11-09T07:19:44.905952Z",
+     "iopub.status.busy": "2023-11-09T07:19:44.905856Z",
+     "iopub.status.idle": "2023-11-09T07:19:44.916868Z",
+     "shell.execute_reply": "2023-11-09T07:19:44.916467Z"
     }
    },
    "outputs": [],
@@ -303,10 +303,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:15.666206Z",
-     "iopub.status.busy": "2023-09-02T09:24:15.666117Z",
-     "iopub.status.idle": "2023-09-02T09:24:33.502271Z",
-     "shell.execute_reply": "2023-09-02T09:24:33.501964Z"
+     "iopub.execute_input": "2023-11-09T07:19:44.918905Z",
+     "iopub.status.busy": "2023-11-09T07:19:44.918752Z",
+     "iopub.status.idle": "2023-11-09T07:20:00.959021Z",
+     "shell.execute_reply": "2023-11-09T07:20:00.958727Z"
     }
    },
    "outputs": [
@@ -314,10 +314,10 @@
      "name": "stdout",
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+      "[100,000] MAE: 0.75018, RMSE: 0.951622 – 00:00:16 – 1.33 MB\n"
      ]
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@@ -386,10 +386,10 @@
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    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:24:33.504144Z",
-     "iopub.status.busy": "2023-09-02T09:24:33.504021Z",
-     "iopub.status.idle": "2023-09-02T09:25:38.175942Z",
-     "shell.execute_reply": "2023-09-02T09:25:38.175657Z"
+     "iopub.execute_input": "2023-11-09T07:20:00.960832Z",
+     "iopub.status.busy": "2023-11-09T07:20:00.960735Z",
+     "iopub.status.idle": "2023-11-09T07:21:03.334574Z",
+     "shell.execute_reply": "2023-11-09T07:21:03.334266Z"
     }
    },
    "outputs": [
@@ -397,10 +397,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[25,000] MAE: 0.761379, RMSE: 0.96214 – 00:00:16 – 1.73 MB\n",
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-      "[100,000] MAE: 0.750849, RMSE: 0.952142 – 00:01:04 – 2.66 MB\n"
+      "[25,000] MAE: 0.761379, RMSE: 0.96214 – 00:00:15 – 1.67 MB\n",
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+      "[100,000] MAE: 0.750849, RMSE: 0.952142 – 00:01:02 – 2.6 MB\n"
      ]
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    ],
@@ -471,10 +471,10 @@
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    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:25:38.177709Z",
-     "iopub.status.busy": "2023-09-02T09:25:38.177604Z",
-     "iopub.status.idle": "2023-09-02T09:26:04.802711Z",
-     "shell.execute_reply": "2023-09-02T09:26:04.802410Z"
+     "iopub.execute_input": "2023-11-09T07:21:03.336221Z",
+     "iopub.status.busy": "2023-11-09T07:21:03.336122Z",
+     "iopub.status.idle": "2023-11-09T07:21:28.075174Z",
+     "shell.execute_reply": "2023-11-09T07:21:28.074930Z"
     }
    },
    "outputs": [
@@ -482,10 +482,10 @@
      "name": "stdout",
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+      "[100,000] MAE: 0.749776, RMSE: 0.950131 – 00:00:24 – 3.19 MB\n"
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@@ -551,10 +551,10 @@
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    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:26:04.804485Z",
-     "iopub.status.busy": "2023-09-02T09:26:04.804363Z",
-     "iopub.status.idle": "2023-09-02T09:26:39.079247Z",
-     "shell.execute_reply": "2023-09-02T09:26:39.078802Z"
+     "iopub.execute_input": "2023-11-09T07:21:28.076978Z",
+     "iopub.status.busy": "2023-11-09T07:21:28.076874Z",
+     "iopub.status.idle": "2023-11-09T07:21:58.474830Z",
+     "shell.execute_reply": "2023-11-09T07:21:58.474562Z"
     }
    },
    "outputs": [
@@ -562,10 +562,10 @@
      "name": "stdout",
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+      "[100,000] MAE: 0.755697, RMSE: 0.956542 – 00:00:30 – 1.17 MB\n"
      ]
     }
    ],
@@ -615,7 +615,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/matrix-factorization-for-recommender-systems/part-3.ipynb b/docs/examples/matrix-factorization-for-recommender-systems/part-3.ipynb
index d2be37bc56..037a839cea 100644
--- a/docs/examples/matrix-factorization-for-recommender-systems/part-3.ipynb
+++ b/docs/examples/matrix-factorization-for-recommender-systems/part-3.ipynb
@@ -31,7 +31,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/quantile-regression-uncertainty.ipynb b/docs/examples/quantile-regression-uncertainty.ipynb
index 1bfa244ca9..2865544aad 100644
--- a/docs/examples/quantile-regression-uncertainty.ipynb
+++ b/docs/examples/quantile-regression-uncertainty.ipynb
@@ -12,10 +12,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:52:07.634046Z",
-     "iopub.status.busy": "2023-09-02T00:52:07.633637Z",
-     "iopub.status.idle": "2023-09-02T00:52:07.828667Z",
-     "shell.execute_reply": "2023-09-02T00:52:07.828369Z"
+     "iopub.execute_input": "2023-11-09T07:16:11.977143Z",
+     "iopub.status.busy": "2023-11-09T07:16:11.976368Z",
+     "iopub.status.idle": "2023-11-09T07:16:12.234088Z",
+     "shell.execute_reply": "2023-11-09T07:16:12.233810Z"
     }
    },
    "outputs": [],
@@ -39,17 +39,17 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:52:07.830510Z",
-     "iopub.status.busy": "2023-09-02T00:52:07.830367Z",
-     "iopub.status.idle": "2023-09-02T00:52:08.513721Z",
-     "shell.execute_reply": "2023-09-02T00:52:08.512874Z"
+     "iopub.execute_input": "2023-11-09T07:16:12.236861Z",
+     "iopub.status.busy": "2023-11-09T07:16:12.236152Z",
+     "iopub.status.idle": "2023-11-09T07:16:12.989619Z",
+     "shell.execute_reply": "2023-11-09T07:16:12.989322Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -160,7 +160,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/sentence-classification.ipynb b/docs/examples/sentence-classification.ipynb
index 0c7af11fe4..f95c117985 100644
--- a/docs/examples/sentence-classification.ipynb
+++ b/docs/examples/sentence-classification.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:52:10.006055Z",
-     "iopub.status.busy": "2023-09-02T00:52:10.005732Z",
-     "iopub.status.idle": "2023-09-02T00:52:10.388324Z",
-     "shell.execute_reply": "2023-09-02T00:52:10.388002Z"
+     "iopub.execute_input": "2023-11-09T07:16:14.097055Z",
+     "iopub.status.busy": "2023-11-09T07:16:14.096808Z",
+     "iopub.status.idle": "2023-11-09T07:16:14.492429Z",
+     "shell.execute_reply": "2023-11-09T07:16:14.492035Z"
     },
     "tags": []
    },
@@ -62,10 +62,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:52:10.390078Z",
-     "iopub.status.busy": "2023-09-02T00:52:10.389940Z",
-     "iopub.status.idle": "2023-09-02T00:52:10.405704Z",
-     "shell.execute_reply": "2023-09-02T00:52:10.405433Z"
+     "iopub.execute_input": "2023-11-09T07:16:14.494071Z",
+     "iopub.status.busy": "2023-11-09T07:16:14.493926Z",
+     "iopub.status.idle": "2023-11-09T07:16:14.506089Z",
+     "shell.execute_reply": "2023-11-09T07:16:14.505825Z"
     },
     "tags": []
    },
@@ -103,10 +103,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:52:10.407372Z",
-     "iopub.status.busy": "2023-09-02T00:52:10.407258Z",
-     "iopub.status.idle": "2023-09-02T01:59:03.297216Z",
-     "shell.execute_reply": "2023-09-02T01:59:03.296855Z"
+     "iopub.execute_input": "2023-11-09T07:16:14.507584Z",
+     "iopub.status.busy": "2023-11-09T07:16:14.507506Z",
+     "iopub.status.idle": "2023-11-09T07:16:31.431294Z",
+     "shell.execute_reply": "2023-11-09T07:16:31.430945Z"
     },
     "tags": []
    },
@@ -162,10 +162,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T01:59:03.299143Z",
-     "iopub.status.busy": "2023-09-02T01:59:03.299031Z",
-     "iopub.status.idle": "2023-09-02T01:59:03.319929Z",
-     "shell.execute_reply": "2023-09-02T01:59:03.319675Z"
+     "iopub.execute_input": "2023-11-09T07:16:31.433018Z",
+     "iopub.status.busy": "2023-11-09T07:16:31.432918Z",
+     "iopub.status.idle": "2023-11-09T07:16:31.443389Z",
+     "shell.execute_reply": "2023-11-09T07:16:31.443153Z"
     },
     "tags": []
    },
@@ -173,9 +173,9 @@
     {
      "data": {
       "text/plain": [
-       "     False   True  \n",
-       "False 4,809     17  \n",
-       "True   102    645  "
+       "        False   True  \n",
+       "False   4,809     17  \n",
+       " True     102    645  "
       ]
      },
      "execution_count": 4,
@@ -206,10 +206,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T01:59:03.321642Z",
-     "iopub.status.busy": "2023-09-02T01:59:03.321540Z",
-     "iopub.status.idle": "2023-09-02T02:34:10.621635Z",
-     "shell.execute_reply": "2023-09-02T02:34:10.621358Z"
+     "iopub.execute_input": "2023-11-09T07:16:31.445057Z",
+     "iopub.status.busy": "2023-11-09T07:16:31.444961Z",
+     "iopub.status.idle": "2023-11-09T07:16:40.630373Z",
+     "shell.execute_reply": "2023-11-09T07:16:40.630094Z"
     },
     "tags": []
    },
@@ -274,10 +274,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T02:34:10.623520Z",
-     "iopub.status.busy": "2023-09-02T02:34:10.623413Z",
-     "iopub.status.idle": "2023-09-02T02:34:10.644643Z",
-     "shell.execute_reply": "2023-09-02T02:34:10.644254Z"
+     "iopub.execute_input": "2023-11-09T07:16:40.632089Z",
+     "iopub.status.busy": "2023-11-09T07:16:40.631980Z",
+     "iopub.status.idle": "2023-11-09T07:16:40.642424Z",
+     "shell.execute_reply": "2023-11-09T07:16:40.642131Z"
     },
     "tags": []
    },
@@ -285,9 +285,9 @@
     {
      "data": {
       "text/plain": [
-       "     False   True  \n",
-       "False 4,570    255  \n",
-       "True    41    706  "
+       "        False   True  \n",
+       "False   4,570    255  \n",
+       " True      41    706  "
       ]
      },
      "execution_count": 6,
@@ -304,10 +304,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T02:34:10.646211Z",
-     "iopub.status.busy": "2023-09-02T02:34:10.646098Z",
-     "iopub.status.idle": "2023-09-02T02:34:10.667391Z",
-     "shell.execute_reply": "2023-09-02T02:34:10.667130Z"
+     "iopub.execute_input": "2023-11-09T07:16:40.644084Z",
+     "iopub.status.busy": "2023-11-09T07:16:40.643976Z",
+     "iopub.status.idle": "2023-11-09T07:16:40.658816Z",
+     "shell.execute_reply": "2023-11-09T07:16:40.658527Z"
     },
     "tags": []
    },
@@ -479,10 +479,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T02:34:10.668961Z",
-     "iopub.status.busy": "2023-09-02T02:34:10.668858Z",
-     "iopub.status.idle": "2023-09-02T02:34:11.240468Z",
-     "shell.execute_reply": "2023-09-02T02:34:11.240041Z"
+     "iopub.execute_input": "2023-11-09T07:16:40.660408Z",
+     "iopub.status.busy": "2023-11-09T07:16:40.660299Z",
+     "iopub.status.idle": "2023-11-09T07:16:41.186575Z",
+     "shell.execute_reply": "2023-11-09T07:16:41.186314Z"
     },
     "tags": []
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@@ -545,10 +545,10 @@
    "execution_count": 9,
    "metadata": {
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-     "iopub.execute_input": "2023-09-02T02:34:11.242530Z",
-     "iopub.status.busy": "2023-09-02T02:34:11.242375Z",
-     "iopub.status.idle": "2023-09-02T02:34:11.265325Z",
-     "shell.execute_reply": "2023-09-02T02:34:11.265063Z"
+     "iopub.execute_input": "2023-11-09T07:16:41.188113Z",
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@@ -556,9 +556,9 @@
     {
      "data": {
       "text/plain": [
-       "     False   True  \n",
-       "False 4,584    243  \n",
-       "True    55    692  "
+       "        False   True  \n",
+       "False   4,584    243  \n",
+       " True      55    692  "
       ]
      },
      "execution_count": 9,
@@ -575,10 +575,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T02:34:11.267012Z",
-     "iopub.status.busy": "2023-09-02T02:34:11.266890Z",
-     "iopub.status.idle": "2023-09-02T02:34:11.285944Z",
-     "shell.execute_reply": "2023-09-02T02:34:11.285665Z"
+     "iopub.execute_input": "2023-11-09T07:16:41.199736Z",
+     "iopub.status.busy": "2023-11-09T07:16:41.199651Z",
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@@ -838,10 +838,10 @@
    "execution_count": 11,
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-     "iopub.status.busy": "2023-09-02T02:34:11.287663Z",
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-     "shell.execute_reply": "2023-09-02T02:34:12.381591Z"
+     "iopub.execute_input": "2023-11-09T07:16:41.210822Z",
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@@ -874,10 +874,10 @@
    "execution_count": 12,
    "metadata": {
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-     "iopub.execute_input": "2023-09-02T02:34:12.384046Z",
-     "iopub.status.busy": "2023-09-02T02:34:12.383784Z",
-     "iopub.status.idle": "2023-09-02T05:14:59.324748Z",
-     "shell.execute_reply": "2023-09-02T05:14:59.324481Z"
+     "iopub.execute_input": "2023-11-09T07:16:43.347911Z",
+     "iopub.status.busy": "2023-11-09T07:16:43.347693Z",
+     "iopub.status.idle": "2023-11-09T07:17:42.083336Z",
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@@ -936,10 +936,10 @@
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-     "iopub.execute_input": "2023-09-02T05:14:59.326421Z",
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-     "shell.execute_reply": "2023-09-02T05:14:59.357071Z"
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@@ -947,9 +947,9 @@
     {
      "data": {
       "text/plain": [
-       "     False   True  \n",
-       "False 4,537    290  \n",
-       "True    85    662  "
+       "        False   True  \n",
+       "False   4,537    290  \n",
+       " True      85    662  "
       ]
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      "execution_count": 13,
@@ -966,10 +966,10 @@
    "execution_count": 14,
    "metadata": {
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-     "iopub.execute_input": "2023-09-02T05:14:59.358867Z",
-     "iopub.status.busy": "2023-09-02T05:14:59.358782Z",
-     "iopub.status.idle": "2023-09-02T05:14:59.388148Z",
-     "shell.execute_reply": "2023-09-02T05:14:59.387899Z"
+     "iopub.execute_input": "2023-11-09T07:17:42.106909Z",
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+     "iopub.status.idle": "2023-11-09T07:17:42.119123Z",
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@@ -1192,7 +1192,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
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diff --git a/docs/examples/the-art-of-using-pipelines.ipynb b/docs/examples/the-art-of-using-pipelines.ipynb
index 4ffb09e24d..7f872fcd9a 100644
--- a/docs/examples/the-art-of-using-pipelines.ipynb
+++ b/docs/examples/the-art-of-using-pipelines.ipynb
@@ -25,10 +25,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T05:15:01.267796Z",
-     "iopub.status.busy": "2023-09-02T05:15:01.267477Z",
-     "iopub.status.idle": "2023-09-02T05:15:02.822438Z",
-     "shell.execute_reply": "2023-09-02T05:15:02.822133Z"
+     "iopub.execute_input": "2023-11-09T07:17:43.488129Z",
+     "iopub.status.busy": "2023-11-09T07:17:43.487739Z",
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+     "shell.execute_reply": "2023-11-09T07:17:44.000818Z"
     },
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@@ -37,8 +37,6 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Downloading https://maxhalford.github.io/files/datasets/kaggle_recruit_restaurants.zip (4.28 MB)\n",
-      "Uncompressing into /Users/max/river_data/Restaurants\n",
       "{'area_name': 'Tōkyō-to Nerima-ku Toyotamakita',\n",
       " 'date': datetime.datetime(2016, 1, 1, 0, 0),\n",
       " 'genre_name': 'Izakaya',\n",
@@ -72,10 +70,10 @@
    "execution_count": 2,
    "metadata": {
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-     "iopub.execute_input": "2023-09-02T05:15:02.824128Z",
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-     "shell.execute_reply": "2023-09-02T05:47:05.985566Z"
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@@ -146,10 +144,10 @@
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@@ -181,10 +179,10 @@
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-     "shell.execute_reply": "2023-09-02T06:36:12.768397Z"
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@@ -246,10 +244,10 @@
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@@ -299,10 +297,10 @@
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@@ -346,10 +344,10 @@
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@@ -384,10 +382,10 @@
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-     "shell.execute_reply": "2023-09-02T08:54:09.757617Z"
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@@ -430,10 +428,10 @@
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-     "shell.execute_reply": "2023-09-02T09:23:35.110177Z"
+     "iopub.execute_input": "2023-11-09T07:18:55.084448Z",
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+     "iopub.status.idle": "2023-11-09T07:19:11.593184Z",
+     "shell.execute_reply": "2023-11-09T07:19:11.592935Z"
     },
     "tags": []
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@@ -478,10 +476,10 @@
    "execution_count": 10,
    "metadata": {
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-     "iopub.execute_input": "2023-09-02T09:23:35.114559Z",
-     "iopub.status.busy": "2023-09-02T09:23:35.114415Z",
-     "iopub.status.idle": "2023-09-02T09:23:55.183639Z",
-     "shell.execute_reply": "2023-09-02T09:23:55.183338Z"
+     "iopub.execute_input": "2023-11-09T07:19:11.594836Z",
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+     "iopub.status.idle": "2023-11-09T07:19:27.786139Z",
+     "shell.execute_reply": "2023-11-09T07:19:27.785845Z"
     },
     "tags": []
    },
@@ -524,10 +522,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T09:23:55.185691Z",
-     "iopub.status.busy": "2023-09-02T09:23:55.185441Z",
-     "iopub.status.idle": "2023-09-02T09:23:55.213909Z",
-     "shell.execute_reply": "2023-09-02T09:23:55.213609Z"
+     "iopub.execute_input": "2023-11-09T07:19:27.787941Z",
+     "iopub.status.busy": "2023-11-09T07:19:27.787835Z",
+     "iopub.status.idle": "2023-11-09T07:19:27.805692Z",
+     "shell.execute_reply": "2023-11-09T07:19:27.805442Z"
     },
     "tags": []
    },
@@ -778,7 +776,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
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  "nbformat": 4,
diff --git a/docs/introduction/getting-started/binary-classification.ipynb b/docs/introduction/getting-started/binary-classification.ipynb
index 30df2f0f20..d9e8c990c5 100644
--- a/docs/introduction/getting-started/binary-classification.ipynb
+++ b/docs/introduction/getting-started/binary-classification.ipynb
@@ -23,10 +23,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:17.434889Z",
-     "iopub.status.busy": "2023-09-02T00:45:17.434128Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.027890Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.027583Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.073183Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.072499Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.719433Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.719120Z"
     }
    },
    "outputs": [
@@ -70,10 +70,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:18.041516Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.041318Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.059626Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.059374Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.735763Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.735574Z",
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+     "shell.execute_reply": "2023-11-09T07:10:38.748919Z"
     }
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    "outputs": [],
@@ -95,10 +95,10 @@
    "execution_count": 3,
    "metadata": {
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-     "iopub.execute_input": "2023-09-02T00:45:18.061201Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.061119Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.075142Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.074885Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.750971Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.750874Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.760618Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.760327Z"
     },
     "tags": []
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@@ -132,10 +132,10 @@
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-     "iopub.status.busy": "2023-09-02T00:45:18.076664Z",
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-     "shell.execute_reply": "2023-09-02T00:45:18.089591Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.762298Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.762158Z",
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+     "shell.execute_reply": "2023-11-09T07:10:38.771450Z"
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    "outputs": [
@@ -167,10 +167,10 @@
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-     "shell.execute_reply": "2023-09-02T00:45:18.159890Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.773320Z",
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@@ -207,10 +207,10 @@
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-     "shell.execute_reply": "2023-09-02T00:45:18.177058Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.795051Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.794957Z",
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@@ -231,10 +231,10 @@
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-     "iopub.status.busy": "2023-09-02T00:45:18.178977Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.193209Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.192956Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.806177Z",
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@@ -266,10 +266,10 @@
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     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:18.194798Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.194697Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.208875Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.208617Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.817413Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.817309Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.826675Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.826435Z"
     }
    },
    "outputs": [
@@ -301,10 +301,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:18.210425Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.210338Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.254722Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.254440Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.828197Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.828118Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.864356Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.864086Z"
     },
     "tags": []
    },
@@ -348,10 +348,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:18.256289Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.256179Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.302491Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.302238Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.866017Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.865919Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.900686Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.900450Z"
     }
    },
    "outputs": [
@@ -388,10 +388,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:18.304245Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.304129Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.326675Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.326410Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.902171Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.902084Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.918876Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.918645Z"
     },
     "tags": []
    },
@@ -570,10 +570,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:18.328153Z",
-     "iopub.status.busy": "2023-09-02T00:45:18.328049Z",
-     "iopub.status.idle": "2023-09-02T00:45:18.391428Z",
-     "shell.execute_reply": "2023-09-02T00:45:18.391165Z"
+     "iopub.execute_input": "2023-11-09T07:10:38.920413Z",
+     "iopub.status.busy": "2023-11-09T07:10:38.920323Z",
+     "iopub.status.idle": "2023-11-09T07:10:38.967256Z",
+     "shell.execute_reply": "2023-11-09T07:10:38.966975Z"
     },
     "tags": []
    },
@@ -611,7 +611,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/introduction/getting-started/concept-drift-detection.ipynb b/docs/introduction/getting-started/concept-drift-detection.ipynb
index 6cdab5c912..ae3398bac9 100644
--- a/docs/introduction/getting-started/concept-drift-detection.ipynb
+++ b/docs/introduction/getting-started/concept-drift-detection.ipynb
@@ -45,10 +45,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:19.877606Z",
-     "iopub.status.busy": "2023-09-02T00:45:19.877215Z",
-     "iopub.status.idle": "2023-09-02T00:45:20.252739Z",
-     "shell.execute_reply": "2023-09-02T00:45:20.252378Z"
+     "iopub.execute_input": "2023-11-09T07:10:40.159076Z",
+     "iopub.status.busy": "2023-11-09T07:10:40.158722Z",
+     "iopub.status.idle": "2023-11-09T07:10:40.508285Z",
+     "shell.execute_reply": "2023-11-09T07:10:40.508002Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -61,7 +61,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 700x300 with 2 Axes>"
       ]
@@ -122,10 +122,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:20.254722Z",
-     "iopub.status.busy": "2023-09-02T00:45:20.254540Z",
-     "iopub.status.idle": "2023-09-02T00:45:20.885226Z",
-     "shell.execute_reply": "2023-09-02T00:45:20.882399Z"
+     "iopub.execute_input": "2023-11-09T07:10:40.510069Z",
+     "iopub.status.busy": "2023-11-09T07:10:40.509945Z",
+     "iopub.status.idle": "2023-11-09T07:10:41.029675Z",
+     "shell.execute_reply": "2023-11-09T07:10:41.029399Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -146,7 +146,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 700x300 with 2 Axes>"
       ]
@@ -207,7 +207,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/introduction/getting-started/multiclass-classification.ipynb b/docs/introduction/getting-started/multiclass-classification.ipynb
index 54910c5956..60617cd4eb 100644
--- a/docs/introduction/getting-started/multiclass-classification.ipynb
+++ b/docs/introduction/getting-started/multiclass-classification.ipynb
@@ -23,10 +23,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.384019Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.383719Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.764865Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.764514Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.224562Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.224156Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.628788Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.628519Z"
     }
    },
    "outputs": [
@@ -72,10 +72,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.766683Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.766546Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.795125Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.794865Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.630519Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.630390Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.653795Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.653510Z"
     }
    },
    "outputs": [],
@@ -97,10 +97,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.796768Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.796675Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.810815Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.810551Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.655574Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.655470Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.666775Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.666521Z"
     }
    },
    "outputs": [
@@ -142,10 +142,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.812271Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.812168Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.825425Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.825199Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.668327Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.668223Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.676692Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.676449Z"
     }
    },
    "outputs": [
@@ -177,10 +177,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.826975Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.826886Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.899444Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.899168Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.678226Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.678137Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.709366Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.709107Z"
     }
    },
    "outputs": [
@@ -217,10 +217,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.901156Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.900959Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.917152Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.916895Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.710857Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.710764Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.720273Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.720037Z"
     }
    },
    "outputs": [
@@ -249,10 +249,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.918722Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.918636Z",
-     "iopub.status.idle": "2023-09-02T00:45:22.935428Z",
-     "shell.execute_reply": "2023-09-02T00:45:22.935168Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.721662Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.721588Z",
+     "iopub.status.idle": "2023-11-09T07:10:42.732033Z",
+     "shell.execute_reply": "2023-11-09T07:10:42.731797Z"
     }
    },
    "outputs": [
@@ -287,31 +287,31 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:22.937156Z",
-     "iopub.status.busy": "2023-09-02T00:45:22.937040Z",
-     "iopub.status.idle": "2023-09-02T00:45:23.575411Z",
-     "shell.execute_reply": "2023-09-02T00:45:23.575063Z"
+     "iopub.execute_input": "2023-11-09T07:10:42.733503Z",
+     "iopub.status.busy": "2023-11-09T07:10:42.733423Z",
+     "iopub.status.idle": "2023-11-09T07:10:43.165894Z",
+     "shell.execute_reply": "2023-11-09T07:10:43.165636Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "               Precision      Recall         F1             Support       \n",
-       "                                                                          \n",
-       "   brickface         77.13%         84.85%         80.81%            330  \n",
-       "      cement         78.92%         83.94%         81.35%            330  \n",
-       "     foliage         65.69%         20.30%         31.02%            330  \n",
-       "       grass        100.00%         96.97%         98.46%            330  \n",
-       "        path         90.63%         91.19%         90.91%            329  \n",
-       "         sky         99.08%         98.18%         98.63%            330  \n",
-       "      window         43.50%         67.88%         53.02%            330  \n",
-       "                                                                          \n",
-       "       Macro         79.28%         77.62%         76.31%                 \n",
-       "       Micro         77.61%         77.61%         77.61%                 \n",
-       "    Weighted         79.27%         77.61%         76.31%                 \n",
+       "            Precision   Recall   F1       Support  \n",
+       "                                                   \n",
+       "brickface      77.13%   84.85%   80.81%       330  \n",
+       "   cement      78.92%   83.94%   81.35%       330  \n",
+       "  foliage      65.69%   20.30%   31.02%       330  \n",
+       "    grass     100.00%   96.97%   98.46%       330  \n",
+       "     path      90.63%   91.19%   90.91%       329  \n",
+       "      sky      99.08%   98.18%   98.63%       330  \n",
+       "   window      43.50%   67.88%   53.02%       330  \n",
+       "                                                   \n",
+       "    Macro      79.28%   77.62%   76.31%            \n",
+       "    Micro      77.61%   77.61%   77.61%            \n",
+       " Weighted      79.27%   77.61%   76.31%            \n",
        "\n",
-       "                             77.61% accuracy                              "
+       "                  77.61% accuracy                  "
       ]
      },
      "execution_count": 8,
@@ -348,31 +348,31 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:23.577203Z",
-     "iopub.status.busy": "2023-09-02T00:45:23.577088Z",
-     "iopub.status.idle": "2023-09-02T00:45:24.242152Z",
-     "shell.execute_reply": "2023-09-02T00:45:24.241854Z"
+     "iopub.execute_input": "2023-11-09T07:10:43.167450Z",
+     "iopub.status.busy": "2023-11-09T07:10:43.167352Z",
+     "iopub.status.idle": "2023-11-09T07:10:43.621666Z",
+     "shell.execute_reply": "2023-11-09T07:10:43.621416Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "               Precision      Recall         F1             Support       \n",
-       "                                                                          \n",
-       "   brickface         77.13%         84.85%         80.81%            330  \n",
-       "      cement         78.92%         83.94%         81.35%            330  \n",
-       "     foliage         65.69%         20.30%         31.02%            330  \n",
-       "       grass        100.00%         96.97%         98.46%            330  \n",
-       "        path         90.63%         91.19%         90.91%            329  \n",
-       "         sky         99.08%         98.18%         98.63%            330  \n",
-       "      window         43.50%         67.88%         53.02%            330  \n",
-       "                                                                          \n",
-       "       Macro         79.28%         77.62%         76.31%                 \n",
-       "       Micro         77.61%         77.61%         77.61%                 \n",
-       "    Weighted         79.27%         77.61%         76.31%                 \n",
+       "            Precision   Recall   F1       Support  \n",
+       "                                                   \n",
+       "brickface      77.13%   84.85%   80.81%       330  \n",
+       "   cement      78.92%   83.94%   81.35%       330  \n",
+       "  foliage      65.69%   20.30%   31.02%       330  \n",
+       "    grass     100.00%   96.97%   98.46%       330  \n",
+       "     path      90.63%   91.19%   90.91%       329  \n",
+       "      sky      99.08%   98.18%   98.63%       330  \n",
+       "   window      43.50%   67.88%   53.02%       330  \n",
+       "                                                   \n",
+       "    Macro      79.28%   77.62%   76.31%            \n",
+       "    Micro      77.61%   77.61%   77.61%            \n",
+       " Weighted      79.27%   77.61%   76.31%            \n",
        "\n",
-       "                             77.61% accuracy                              "
+       "                  77.61% accuracy                  "
       ]
      },
      "execution_count": 9,
@@ -409,7 +409,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/introduction/getting-started/regression.ipynb b/docs/introduction/getting-started/regression.ipynb
index 4c32dd4c2e..25d7a91ccc 100644
--- a/docs/introduction/getting-started/regression.ipynb
+++ b/docs/introduction/getting-started/regression.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:25.707518Z",
-     "iopub.status.busy": "2023-09-02T00:45:25.707204Z",
-     "iopub.status.idle": "2023-09-02T00:45:26.094554Z",
-     "shell.execute_reply": "2023-09-02T00:45:26.094173Z"
+     "iopub.execute_input": "2023-11-09T07:10:44.634128Z",
+     "iopub.status.busy": "2023-11-09T07:10:44.633948Z",
+     "iopub.status.idle": "2023-11-09T07:10:45.050152Z",
+     "shell.execute_reply": "2023-11-09T07:10:45.049874Z"
     }
    },
    "outputs": [
@@ -71,10 +71,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:26.096271Z",
-     "iopub.status.busy": "2023-09-02T00:45:26.096140Z",
-     "iopub.status.idle": "2023-09-02T00:45:26.113530Z",
-     "shell.execute_reply": "2023-09-02T00:45:26.113248Z"
+     "iopub.execute_input": "2023-11-09T07:10:45.051791Z",
+     "iopub.status.busy": "2023-11-09T07:10:45.051670Z",
+     "iopub.status.idle": "2023-11-09T07:10:45.063670Z",
+     "shell.execute_reply": "2023-11-09T07:10:45.063443Z"
     }
    },
    "outputs": [],
@@ -96,10 +96,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:26.115160Z",
-     "iopub.status.busy": "2023-09-02T00:45:26.115076Z",
-     "iopub.status.idle": "2023-09-02T00:45:26.128786Z",
-     "shell.execute_reply": "2023-09-02T00:45:26.128528Z"
+     "iopub.execute_input": "2023-11-09T07:10:45.065255Z",
+     "iopub.status.busy": "2023-11-09T07:10:45.065173Z",
+     "iopub.status.idle": "2023-11-09T07:10:45.074734Z",
+     "shell.execute_reply": "2023-11-09T07:10:45.074417Z"
     }
    },
    "outputs": [
@@ -137,10 +137,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:26.130304Z",
-     "iopub.status.busy": "2023-09-02T00:45:26.130222Z",
-     "iopub.status.idle": "2023-09-02T00:45:26.148212Z",
-     "shell.execute_reply": "2023-09-02T00:45:26.147967Z"
+     "iopub.execute_input": "2023-11-09T07:10:45.076494Z",
+     "iopub.status.busy": "2023-11-09T07:10:45.076376Z",
+     "iopub.status.idle": "2023-11-09T07:10:45.090050Z",
+     "shell.execute_reply": "2023-11-09T07:10:45.089788Z"
     }
    },
    "outputs": [
@@ -177,10 +177,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:26.149704Z",
-     "iopub.status.busy": "2023-09-02T00:45:26.149608Z",
-     "iopub.status.idle": "2023-09-02T00:45:26.162699Z",
-     "shell.execute_reply": "2023-09-02T00:45:26.162432Z"
+     "iopub.execute_input": "2023-11-09T07:10:45.091538Z",
+     "iopub.status.busy": "2023-11-09T07:10:45.091446Z",
+     "iopub.status.idle": "2023-11-09T07:10:45.101556Z",
+     "shell.execute_reply": "2023-11-09T07:10:45.101323Z"
     }
    },
    "outputs": [],
@@ -201,10 +201,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:26.164248Z",
-     "iopub.status.busy": "2023-09-02T00:45:26.164161Z",
-     "iopub.status.idle": "2023-09-02T00:45:26.177605Z",
-     "shell.execute_reply": "2023-09-02T00:45:26.177371Z"
+     "iopub.execute_input": "2023-11-09T07:10:45.103238Z",
+     "iopub.status.busy": "2023-11-09T07:10:45.103165Z",
+     "iopub.status.idle": "2023-11-09T07:10:45.112098Z",
+     "shell.execute_reply": "2023-11-09T07:10:45.111849Z"
     }
    },
    "outputs": [
@@ -236,10 +236,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:26.179257Z",
-     "iopub.status.busy": "2023-09-02T00:45:26.179157Z",
-     "iopub.status.idle": "2023-09-02T00:45:28.368646Z",
-     "shell.execute_reply": "2023-09-02T00:45:28.368368Z"
+     "iopub.execute_input": "2023-11-09T07:10:45.113659Z",
+     "iopub.status.busy": "2023-11-09T07:10:45.113555Z",
+     "iopub.status.idle": "2023-11-09T07:10:46.876088Z",
+     "shell.execute_reply": "2023-11-09T07:10:46.875793Z"
     }
    },
    "outputs": [
@@ -282,10 +282,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:28.370301Z",
-     "iopub.status.busy": "2023-09-02T00:45:28.370188Z",
-     "iopub.status.idle": "2023-09-02T00:45:30.543139Z",
-     "shell.execute_reply": "2023-09-02T00:45:30.542840Z"
+     "iopub.execute_input": "2023-11-09T07:10:46.877715Z",
+     "iopub.status.busy": "2023-11-09T07:10:46.877619Z",
+     "iopub.status.idle": "2023-11-09T07:10:48.610244Z",
+     "shell.execute_reply": "2023-11-09T07:10:48.609993Z"
     }
    },
    "outputs": [
@@ -329,7 +329,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/active-learning.ipynb b/docs/recipes/active-learning.ipynb
index d79aff4ece..79eba9268c 100644
--- a/docs/recipes/active-learning.ipynb
+++ b/docs/recipes/active-learning.ipynb
@@ -53,10 +53,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:32.751403Z",
-     "iopub.status.busy": "2023-09-02T00:45:32.751058Z",
-     "iopub.status.idle": "2023-09-02T00:45:33.602726Z",
-     "shell.execute_reply": "2023-09-02T00:45:33.602405Z"
+     "iopub.execute_input": "2023-11-09T07:10:50.584308Z",
+     "iopub.status.busy": "2023-11-09T07:10:50.583447Z",
+     "iopub.status.idle": "2023-11-09T07:10:51.424051Z",
+     "shell.execute_reply": "2023-11-09T07:10:51.423788Z"
     }
    },
    "outputs": [
@@ -110,10 +110,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:33.614078Z",
-     "iopub.status.busy": "2023-09-02T00:45:33.613917Z",
-     "iopub.status.idle": "2023-09-02T00:45:33.630138Z",
-     "shell.execute_reply": "2023-09-02T00:45:33.629896Z"
+     "iopub.execute_input": "2023-11-09T07:10:51.438209Z",
+     "iopub.status.busy": "2023-11-09T07:10:51.438034Z",
+     "iopub.status.idle": "2023-11-09T07:10:51.447763Z",
+     "shell.execute_reply": "2023-11-09T07:10:51.447500Z"
     }
    },
    "outputs": [
@@ -142,10 +142,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:33.631781Z",
-     "iopub.status.busy": "2023-09-02T00:45:33.631672Z",
-     "iopub.status.idle": "2023-09-02T00:45:34.092919Z",
-     "shell.execute_reply": "2023-09-02T00:45:34.092647Z"
+     "iopub.execute_input": "2023-11-09T07:10:51.449385Z",
+     "iopub.status.busy": "2023-11-09T07:10:51.449300Z",
+     "iopub.status.idle": "2023-11-09T07:10:51.890865Z",
+     "shell.execute_reply": "2023-11-09T07:10:51.890624Z"
     }
    },
    "outputs": [
@@ -242,7 +242,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/recipes/bandits-101.ipynb b/docs/recipes/bandits-101.ipynb
index 0ba4c6debd..ddd0d93e63 100644
--- a/docs/recipes/bandits-101.ipynb
+++ b/docs/recipes/bandits-101.ipynb
@@ -23,10 +23,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:35.575425Z",
-     "iopub.status.busy": "2023-09-02T00:45:35.575172Z",
-     "iopub.status.idle": "2023-09-02T00:45:35.634396Z",
-     "shell.execute_reply": "2023-09-02T00:45:35.634109Z"
+     "iopub.execute_input": "2023-11-09T07:10:52.894617Z",
+     "iopub.status.busy": "2023-11-09T07:10:52.894487Z",
+     "iopub.status.idle": "2023-11-09T07:10:52.934553Z",
+     "shell.execute_reply": "2023-11-09T07:10:52.934260Z"
     }
    },
    "outputs": [],
@@ -35,7 +35,7 @@
     "\n",
     "for k in gym.envs.registry:\n",
     "    if k.startswith('river_bandits'):\n",
-    "        print(k)"
+    "        print(k)\n"
    ]
   },
   {
@@ -51,10 +51,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:35.636137Z",
-     "iopub.status.busy": "2023-09-02T00:45:35.636026Z",
-     "iopub.status.idle": "2023-09-02T00:45:36.107306Z",
-     "shell.execute_reply": "2023-09-02T00:45:36.106935Z"
+     "iopub.execute_input": "2023-11-09T07:10:52.936515Z",
+     "iopub.status.busy": "2023-11-09T07:10:52.936399Z",
+     "iopub.status.idle": "2023-11-09T07:10:53.338264Z",
+     "shell.execute_reply": "2023-11-09T07:10:53.337989Z"
     }
    },
    "outputs": [],
@@ -81,7 +81,7 @@
     "    env=env,\n",
     "    reward_stat=stats.Mean(),\n",
     "    n_episodes=(n_episodes := 2000),\n",
-    ")"
+    ")\n"
    ]
   },
   {
@@ -97,10 +97,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:45:36.109239Z",
-     "iopub.status.busy": "2023-09-02T00:45:36.109080Z",
-     "iopub.status.idle": "2023-09-02T00:46:16.897601Z",
-     "shell.execute_reply": "2023-09-02T00:46:16.897128Z"
+     "iopub.execute_input": "2023-11-09T07:10:53.340072Z",
+     "iopub.status.busy": "2023-11-09T07:10:53.339932Z",
+     "iopub.status.idle": "2023-11-09T07:11:26.506543Z",
+     "shell.execute_reply": "2023-11-09T07:11:26.506114Z"
     }
    },
    "outputs": [
@@ -108,9 +108,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  0%|                                               | 0/6000000 [00:00<?, ?it/s]/Users/max/.pyenv/versions/3.10/envs/river310/lib/python3.10/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n",
+      "  0%|                                                                                             | 0/6000000 [00:00<?, ?it/s]/Users/max/.pyenv/versions/3.11.0/lib/python3.11/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n",
       "  if not isinstance(terminated, (bool, np.bool8)):\n",
-      "100%|█████████████████████████████| 6000000/6000000 [00:35<00:00, 169408.20it/s]\n"
+      "100%|███████████████████████████████████████████████████████████████████████████| 6000000/6000000 [00:27<00:00, 217585.53it/s]\n"
      ]
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     {
@@ -148,36 +148,36 @@
        "      <td>441</td>\n",
        "      <td>632</td>\n",
        "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>-0.036801</td>\n",
-       "      <td>0.457068</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-2.082302</td>\n",
+       "      <td>0.768603</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3566176</th>\n",
        "      <td>1188</td>\n",
        "      <td>725</td>\n",
        "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1.837321</td>\n",
-       "      <td>2.220956</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.021648</td>\n",
+       "      <td>0.589201</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1109043</th>\n",
        "      <td>369</td>\n",
        "      <td>681</td>\n",
        "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0.616991</td>\n",
-       "      <td>1.324610</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.678262</td>\n",
+       "      <td>1.831294</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4286042</th>\n",
        "      <td>1428</td>\n",
        "      <td>680</td>\n",
        "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.236458</td>\n",
-       "      <td>0.570999</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0.358914</td>\n",
+       "      <td>0.006951</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5395174</th>\n",
@@ -185,8 +185,8 @@
        "      <td>391</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>-0.851223</td>\n",
-       "      <td>0.446835</td>\n",
+       "      <td>0.212899</td>\n",
+       "      <td>0.571724</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -194,11 +194,11 @@
       ],
       "text/plain": [
        "         episode  step  policy_idx  arm    reward  reward_stat\n",
-       "1324896      441   632           0    4 -0.036801     0.457068\n",
-       "3566176     1188   725           1    5  1.837321     2.220956\n",
-       "1109043      369   681           0    6  0.616991     1.324610\n",
-       "4286042     1428   680           2    3  0.236458     0.570999\n",
-       "5395174     1798   391           1    1 -0.851223     0.446835"
+       "1324896      441   632           0    3 -2.082302     0.768603\n",
+       "3566176     1188   725           1    8  1.021648     0.589201\n",
+       "1109043      369   681           0    9  2.678262     1.831294\n",
+       "4286042     1428   680           2    7  0.358914     0.006951\n",
+       "5395174     1798   391           1    1  0.212899     0.571724"
       ]
      },
      "execution_count": 3,
@@ -214,7 +214,7 @@
     "        env._max_episode_steps\n",
     "    )\n",
     "))\n",
-    "trace_df.sample(5, random_state=42)"
+    "trace_df.sample(5, random_state=42)\n"
    ]
   },
   {
@@ -230,28 +230,7044 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:46:16.899601Z",
-     "iopub.status.busy": "2023-09-02T00:46:16.899491Z",
-     "iopub.status.idle": "2023-09-02T00:46:17.665862Z",
-     "shell.execute_reply": "2023-09-02T00:46:17.665055Z"
+     "iopub.execute_input": "2023-11-09T07:11:26.509068Z",
+     "iopub.status.busy": "2023-11-09T07:11:26.508969Z",
+     "iopub.status.idle": "2023-11-09T07:11:27.335099Z",
+     "shell.execute_reply": "2023-11-09T07:11:27.334817Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<Axes: xlabel='step'>"
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v2.16.1\n",
+       "* Copyright 2012-2022, Plotly, Inc.\n",
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+       "* Licensed under the MIT license\n",
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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       " * @license  MIT\n",
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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "\"use strict\";var e=t(\"base64-js\"),n=t(\"ieee754\");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. Received type number');return l(t)}return o(t,e,r)}function o(t,e,r){if(\"string\"==typeof t)return function(t,e){\"string\"==typeof e&&\"\"!==e||(e=\"utf8\");if(!a.isEncoding(e))throw new TypeError(\"Unknown encoding: \"+e);var r=0|f(t,e),n=i(r),o=n.write(t,e);o!==r&&(n=n.slice(0,o));return n}(t,e);if(ArrayBuffer.isView(t))return c(t);if(null==t)throw TypeError(\"The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. 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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),Z=G*Y-W*q;if(!Z)break;var X=(z*G-O*W)/Z,J=(O*Y-z*q)/Z;a-=X,s=u(-x,f(x,s-J))}while((n(X)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=g(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*g(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=m(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(g(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(m(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),g=a(f,u),b=i*p(g/i),_=g-b,w=t*o(_),T=(t*m(_)-_*m(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*m(u),u<x&&(f-=T*(u-x));var E=m(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*m(d);for(var g=r-x,v=m(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*m(b),k=t*o(b),A=m(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*g-l)/(v-2*g*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*m(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-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],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;q=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)q.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:284,\"to-px\":315,\"typedarray-pool\":328}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Ze=Math.PI/180,Xe=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Xe;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Ze,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Xr(n?\"camera\":\"composite\",t.value,a.labels,o))}Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Xr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,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||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 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=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(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 Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(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&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Zi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Zi);var Xi=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}(Pi);Xi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Xi);var Ji=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 i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.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 i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(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.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},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 this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,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)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);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,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(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(Ss,this,e),this.length=this._features.length}function Ss(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){var e=null,r=t.readVarint()+t.pos;for(;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 Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.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 _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=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 Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,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 zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},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.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(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),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Xa(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=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 Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Zs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Xs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Xs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Xs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=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+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.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),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(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;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));if(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;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(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&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(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())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.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)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Xn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,Z=Ul(o),X=Z.horizontalAlign,J=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,X,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-X*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),Z=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Z,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.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))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.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},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Zr(\"source\",o):new Xr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,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=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=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}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Zs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.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)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=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()})};Hc.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))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(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]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=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]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=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\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.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 Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Zc=2*Math.PI*6371008.8;function Xc(t){return Zc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Xc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Xc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Zc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.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},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(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 nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.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))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.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)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=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}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.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},lu.geometry.set=function(t){this._geometry=t},su.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(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.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\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.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 Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.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)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(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 gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(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++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,X,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,X,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.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]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(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 M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(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 M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({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 q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};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 V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},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,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;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=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Xi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}function Xt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(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 ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.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)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(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 pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var Z=Y-k,X=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=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};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.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 we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,Z,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=X(a.verticalIconBox)).box.length>0:(I=X(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(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*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.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 je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Xt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[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),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#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;}\"),We=yr(\"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);}\"),Ze=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Xe=yr(\"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);}\"),Je=yr(\"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);}\"),Ke=yr(\"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;}\"),Qe=yr(\"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;}\"),$e=yr(\"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;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#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);}\"),nr=yr(\"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;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"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;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"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;}\"),ur=yr(\"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);}\"),fr=yr(\"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);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"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);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Ze,circle:Xe,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Zr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Xr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},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.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||Z?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,X,J,K,R,F):Yr(I.kind,D,x,v,e,X,J,K,a,R,!0):Gr(I.kind,D,x,v,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){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=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=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:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,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,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Xr(b,i,t,c,{tileID:x,tileSize:l},g):Zr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.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,Ge.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,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.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,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.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()},_n.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)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.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))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.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())},Mn.zoom.get=function(){return this._zoom},Mn.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())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.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)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.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])},An.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)))},An.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},An.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])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.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},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=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),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Zn(t),c=new Xn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.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},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.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\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.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}},_i.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 wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Zn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Xn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={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 Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);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 y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.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},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=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\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.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 Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Zi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Xi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Zi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Xi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":315}],245:[function(t,e,r){(function(t,r){(function(){\n",
+       "/*! Native Promise Only\n",
+       "    v0.8.1 (c) Kyle Simpson\n",
+       "    MIT License: http://getify.mit-license.org\n",
+       "*/\n",
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+       "(c) Sindre Sorhus\n",
+       "@license MIT\n",
+       "*/\n",
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+       "/*\n",
+       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       " * @license MIT\n",
+       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       " */\n",
+       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],259:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":260}],260:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],261:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],262:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],263:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:286,\"stream-parser\":302}],264:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],265:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=f(g,T);p(k),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],281:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");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\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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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||\"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,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(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}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],283:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=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 f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":347,\"object-assign\":247}],336:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":347,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":347,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":347,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":347,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":347,\"object-assign\":247}],342:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":347,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":347,\"object-assign\":247}],346:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":515,\"../../plot_api/plot_template\":555,\"../../registry\":647}],353:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":515,\"../color\":367}],354:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":543,\"fast-isnumeric\":190}],355:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,Z),r}function Z(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Z=[\"x\",\"y\"],X=0;X<Z.length;X++){var J,K,Q,$,tt,et=Z[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,Z=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/X,Z+=e.standoff*(p-f)/X}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-Z),transform:s(W,Z)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":515,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/plot_template\":555,\"../../plots/cartesian/axes\":566,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../dragelement\":386,\"../drawing\":389,\"../fx\":407,\"./draw_arrow_head\":357,\"@plotly/d3\":58}],357:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":350,\"./calc_autorange\":351,\"./click\":352,\"./convert_coords\":354,\"./defaults\":355,\"./draw\":356}],359:[function(t,e,r){\"use strict\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,Z=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),X=Z/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*X:z-tt*X,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=X,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return 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a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(Z,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+Z).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var 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n,s=Z+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(Z,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],X=k[L],K=T[C],et=k[C],rt=b-Z;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*X):(Y.l=rt*W,Y.r=rt*X,Y.xl=O-v*W,Y.xr=O+v*X)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*X):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*X),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,Z={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},X={font:W};x(Z,X,r._fullData);var J=X.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}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 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\");l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\");f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*m[_],b:h*m[w],t:h*d[w]}),o.attr(\"transform\",c(x,b))}(t,h,f,o._name,r)}))}},{\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axis_ids\":570,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../drawing\":389,\"./constants\":434,\"./get_update_object\":437,\"@plotly/d3\":58}],437:[function(t,e,r){\"use strict\";var n=t(\"d3-time\"),i=t(\"../../lib\").titleCase;e.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}var 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A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(!h(t))return;var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,f(t)}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){h(t)&&(t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t)))}e.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(!h(t))return;var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,f(t)}}},{\"../../plot_api/plot_template\":555,\"../color\":367,\"../drawing\":389,\"../shapes/display_outlines\":461,\"../shapes/draw_newshape/helpers\":466,\"../shapes/handle_outline\":468,\"../shapes/helpers\":469}],451:[function(t,e,r){\"use strict\";var n=t(\"../../drawing/attributes\").dash,i=t(\"../../../lib/extend\").extendFlat;e.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},{\"../../../lib/extend\":505,\"../../drawing/attributes\":388}],452:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},{}],453:[function(t,e,r){\"use strict\";var n=t(\"../../dragelement/helpers\").selectMode,i=t(\"../../shapes/handle_outline\").clearOutline,a=t(\"../../shapes/draw_newshape/helpers\"),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),c=e.gd,u=c._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,m=e.dragmode,g=(c.layout||{}).selections||[];if(!n(m)&&void 0!==d){var v=c._fullLayout._activeSelectionIndex;if(v<g.length)switch(c._fullLayout.selections[v].type){case\"rect\":m=\"select\";break;case\"path\":m=\"lasso\"}}var y,x=o(a,c,f,d),b={xref:h._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(y=x[0]),y&&5===y.length&&\"select\"===m?(b.type=\"rect\",b.x0=y[0][1],b.y0=y[0][2],b.x1=y[2][1],b.y1=y[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),y=null),i(c);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var 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n=t(\"./draw\"),i=t(\"./select\");e.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewSelectionDefaults:t(\"./draw_newselection/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":447,\"./defaults\":449,\"./draw\":450,\"./draw_newselection/defaults\":452,\"./select\":456}],456:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"point-in-polygon/nested\"),a=t(\"../../registry\"),o=t(\"../drawing\").dashStyle,s=t(\"../color\"),l=t(\"../fx\"),c=t(\"../fx/helpers\").makeEventData,u=t(\"../dragelement/helpers\"),f=u.freeMode,h=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=t(\"../shapes/helpers\"),v=t(\"../shapes/constants\"),y=t(\"../shapes/display_outlines\"),x=t(\"../shapes/handle_outline\").clearOutline,b=t(\"../shapes/draw_newshape/helpers\"),_=b.handleEllipse,w=b.readPaths,T=t(\"../shapes/draw_newshape/newshapes\"),k=t(\"./draw_newselection/newselections\"),A=t(\"./draw\").activateLastSelection,M=t(\"../../lib\"),S=M.sorterAsc,E=t(\"../../lib/polygon\"),L=t(\"../../lib/throttle\"),C=t(\"../../plots/cartesian/axis_ids\").getFromId,P=t(\"../../lib/clear_gl_canvases\"),I=t(\"../../plot_api/subroutines\").redrawReglTraces,O=t(\"./constants\"),z=O.MINSELECT,D=E.filter,R=E.tester,F=t(\"./helpers\"),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 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r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},r.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},r.getPathString=function(t,e){var o,s,l,c,u,f,h,p,d=e.type,m=a.getRefType(e.xref),g=a.getRefType(e.yref),v=a.getFromId(t,e.xref),y=a.getFromId(t,e.yref),x=t._fullLayout._size;if(v?\"domain\"===m?s=function(t){return v._offset+v._length*t}:(o=r.shapePositionToRange(v),s=function(t){return v._offset+v.r2p(o(t,!0))}):s=function(t){return 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plot_api/plot_template\":555,\"../../plots/animation_attributes\":560,\"../../plots/font_attributes\":594,\"../../plots/pad_attributes\":627,\"./constants\":472}],472:[function(t,e,r){\"use 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L=(m+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==I&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>A&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var at=\"y\"===t._id.charAt(0),ot=1;\"auto\"===t.tickmode&&(ot=t.tickfont?t.tickfont.size:12);var st=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=It(C[r].value,t);var lt=t.c2p(C[r].value);(at?st>lt-ot:st<lt+ot)?C.splice(f?r+1:r,1):st=lt}}Pt(t)&&360===Math.abs(u[1]-u[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ut,ft=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var ht=C[r].minor,pt=C[r].value;ht?L.push({x:pt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,pt,!1,C[r].simpleLabel),void 0!==(ut=C[r].periodX)&&(ct.periodX=ut,(ut>p||ut<h)&&(ut>p&&(ct.periodX=p),ut<h&&(ct.periodX=h),ft(ct))),C[r].skipLabel&&ft(ct),m.push(ct))}return m=m.concat(L),t._inCalcTicks=!1,c&&m.length&&(m[0].noTick=!0),m};var 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l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(mt(t.exponentformat)&&!gt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function pt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>v)e/=v,n=a(10),t.dtick=\"M\"+12*ft(e,n,it);else if(o>T)e/=T,t.dtick=\"M\"+ft(e,1,at);else if(o>M){if(t.dtick=ft(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:st),!r){var l=q.getTickFormat(t),c=\"period\"===t.ticklabelmode;c&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),c&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=ft(e,E,at):o>L?t.dtick=ft(e,L,ot):o>C?t.dtick=ft(e,C,ot):(n=a(10),t.dtick=ft(e,n,it))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var f=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/f,n=a(10),t.dtick=\"L\"+ft(e,n,it)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Pt(t)?(t.tick0=0,n=1,t.dtick=ft(e,n,ut)):(t.tick0=0,n=a(10),t.dtick=ft(e,n,it));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?ct:lt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,m):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\");e.text=String(r)}(t,o):\"multicategory\"===u?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - \"+a:(e.text=a,e.text2=o)}(t,o,r):Pt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=vt(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text=\"0\";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=vt(s.deg2rad(e.x),t,i,n);else{var 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a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=D(J,v),at=D(K,m),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=v||o,lt=m||o;var s=t._fullLayout;ct=s._has(\"scattergl\"),ut=s._has(\"splom\"),ft=s._has(\"svg\")}yt();var xt=function(t,e,r){if(!t)return\"pointer\";if(\"nsew\"===t)return r?\"\":\"pan\"===e?\"move\":\"crosshair\";return t.toLowerCase()+\"-resize\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,m+v+\"drag\",xt,r,s,c,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function It(){Pt.plotinfo.selection=!1,M(t)}function Ot(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||vt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&vt){var s=m?O:I,c=\"s\"===m||\"w\"===v?0:1,f=s._name+\".range[\"+c+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,c),d=\"left\",g=\"middle\";if(s.fixedrange)return;m?(g=\"n\"===m?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===v&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(u.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),c=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=c*tt,Tt.b=(1-l)*et,Tt.t=(1-c)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Yt([n,i,tt,et]),Ht(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var c=(e/tt+l*r/et)/2;e=c*tt,r=l*c*et}if(\"w\"===it?e=p(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var u;if(nt.isSubplotConstrained||!it&&1===at.length){for(u=0;u<J.length;u++)J[u].range=J[u]._r.slice(),E(J[u],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(u=0;u<K.length;u++)K[u].range=K[u]._r.slice(),E(K[u],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(st&&(n(J),n(rt.xaxes),n(nt.xaxes)),lt&&(n(K),n(rt.yaxes),n(nt.yaxes)),ht={},e=0;e<r.length;e++){var i=r[e],a=k(t,i);d.drawOne(t,a,{skipTitle:!0}),ht[a._name+\".range[0]\"]=a.range[0],ht[a._name+\".range[1]\"]=a.range[1]}d.redrawComponents(t,r)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+\".range[0]\"]=a[0],o[n._name+\".range[1]\"]=a[1]):o[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Yt(e){var r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Xt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Xt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Zt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Xt(o,x,{e:\"right\",w:\"left\"}[it])):T=Zt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Zt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":367,\"../../components/dragelement\":386,\"../../components/dragelement/helpers\":385,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../components/selections\":455,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/clear_gl_canvases\":499,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/subroutines\":556,\"../../registry\":647,\"../plots\":628,\"./axes\":566,\"./axis_ids\":570,\"./constants\":573,\"./scale_zoom\":584,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:313}],576:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),m=t(\"../cartesian/axes\"),g=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../../components/selections\").prepSelect,x=t(\"../../components/selections\").clearOutline,b=t(\"../../components/selections\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function 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r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,m=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],m._length=y[1][1]-y[0][1],d.range=g(r,d),m.range=g(r,m);var k=(d.range[0]+d.range[1])/2,A=(m.range[0]+m.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,m.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var 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e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],g=i[0];g<i[1]+2.5;g+=2.5)d.push(a(p,g));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,e[r].griddash,e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:function(t,e){e.isRect?(t.range={})[r.id]=[f([e.xmin,e.ymin]),f([e.xmax,e.ymax])]:(t.lassoPoints={})[r.id]=e.map(f)}},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+\".\"+n]=t[n];l.call(\"_guiRelayout\",i,e),i.emit(\"plotly_doubleclick\",null)})),i._context._scrollZoom.geo||a.on(\"wheel.zoom\",null)):\"select\"!==o&&\"lasso\"!==o||(a.on(\".zoom\",null),u.prepFn=function(t,e,r){y(t,e,r,u,o)},v.init(u)),a.on(\"mousemove\",(function(){var t=r.projection.invert(c.getPositionFromD3Event());if(!t)return v.unhover(i,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return 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l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":573,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],604:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":540,\"../cartesian/axes\":566}],605:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":408,\"../../constants/xmlns_namespaces\":492,\"../../plot_api/edit_types\":548,\"../cartesian\":578,\"../cartesian/attributes\":564,\"../cartesian/constants\":573,\"../get_data\":602,\"../layout_attributes\":619,\"./scene2d\":606}],606:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1133,\"../../components/dragelement/helpers\":385,\"../../components/fx\":407,\"../../lib/show_no_webgl_msg\":537,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"../cartesian/autorange\":565,\"../cartesian/constants\":573,\"../cartesian/constraints\":574,\"./camera\":603,\"./convert\":604,\"webgl-context\":332}],607:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":408,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../plot_api/edit_types\":548,\"../get_data\":602,\"./layout/attributes\":608,\"./layout/defaults\":612,\"./layout/layout_attributes\":613,\"./scene\":617}],608:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],609:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":367,\"../../../lib/extend\":505,\"../../../plot_api/edit_types\":548,\"../../cartesian/layout_attributes\":579}],610:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":515,\"../../../plot_api/plot_template\":555,\"../../cartesian/axis_defaults\":568,\"../../cartesian/type_defaults\":591,\"./axis_attributes\":609,tinycolor2:313}],611:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":515,\"../../../lib/str2rgbarray\":540}],612:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":367,\"../../../lib\":515,\"../../../registry\":647,\"../../get_data\":602,\"../../subplot_defaults\":641,\"./axis_defaults\":610,\"./layout_attributes\":613}],613:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":515,\"../../../lib/extend\":505,\"../../domain\":593,\"./axis_attributes\":609}],614:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":540}],615:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":515,\"../../cartesian/axes\":566}],616:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],617:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1133,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/show_no_webgl_msg\":537,\"../../lib/str2rgbarray\":540,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"./layout/convert\":611,\"./layout/spikes\":614,\"./layout/tick_marks\":615,\"./project\":616,\"has-passive-events\":229,\"webgl-context\":332}],618:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],619:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"../components/selections/draw_newselection/attributes\"),l=t(\"./pad_attributes\"),c=t(\"../lib/extend\").extendFlat,u=n({editType:\"calc\"});u.family.dflt='\"Open Sans\", verdana, arial, sans-serif',u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:c(l({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},minreducedwidth:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},minreducedheight:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,newselection:s.newselection,activeselection:s.activeselection,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:c({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":366,\"../components/selections/draw_newselection/attributes\":451,\"../components/shapes/draw_newshape/attributes\":463,\"../lib/extend\":505,\"./animation_attributes\":560,\"./font_attributes\":594,\"./pad_attributes\":627}],620:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your 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b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},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\":389,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/get_data\":602,\"./constants\":620,\"./layout_attributes\":624,\"./layout_defaults\":625,\"./mapbox\":626,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],623:[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,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.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=c(t)},l.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))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.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,c(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=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.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 s(t,e);return n.update(r),n}},{\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"./constants\":620,\"./convert_text_opts\":621}],624:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=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\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.drawMode,h=u.selectMode,p=t(\"../../components/selections\").prepSelect,d=t(\"../../components/selections\").clearOutline,m=t(\"../../components/selections\").clearSelectionsCache,g=t(\"../../components/selections\").selectOnClick,v=t(\"./constants\"),y=t(\"./layers\");function x(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var b=x.prototype;b.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},b.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=w(s.style);o.accessToken=s.accesstoken;var c=s.bounds,u=c?[[c.west,c.south],[c.east,c.north]]:null,f=o.map=new n.Map({container:o.div,style:l.style,center:k(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,maxBounds:u,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));f._canvas.style.left=\"0px\",f._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var h=[];h.push(new 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u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var _={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==v.styleValuesMapbox.indexOf(t)?e.style=T(t):v.stylesNonMapbox[t]?e.style=v.stylesNonMapbox[t]:e.style=t):(e.id=v.styleValueDflt,e.style=T(v.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return v.styleUrlPrefix+t+\"-\"+v.styleUrlSuffix}function k(t){return[t.lon,t.lat]}b.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return _[t[0].trace.type]-_[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},b.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(k(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},b.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},b.rejectOnError=function(t){var e=this.map;function r(){t(new 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),m=t(\"../cartesian/autorange\").doAutoRange,g=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../../components/selections\").prepSelect,_=t(\"../../components/selections\").selectOnClick,w=t(\"../../components/selections\").clearOutline,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,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 n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,griddash:a.griddash,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../cartesian/layout_attributes\":579,\"../domain\":593}],645:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../choropleth/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=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:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../choropleth/attributes\":725}],735:[function(t,e,r){\"use 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p,d,m,g=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=g(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),m&&(w.mlw=m(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:\"identity\",property:\"mo\"}:v.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:y.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:y.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",f.geojson={type:\"FeatureCollection\",features:h},c(t),f},convertOnSelect:c}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/geo_location_utils\":508,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],736:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,\"xaxis\"),u(e.v,\"yaxis\"),u(e.w,\"zaxis\"),e._len),c.positions=l(u(e.x,\"xaxis\"),u(e.y,\"yaxis\"),u(e.z,\"zaxis\"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],\"scaled\"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var m=n(c),g=e.lightposition;return m.lightPosition=[g.x,g.y,g.z],m.ambient=e.lighting.ambient,m.diffuse=e.lighting.diffuse,m.specular=e.lighting.specular,m.roughness=e.lighting.roughness,m.fresnel=e.lighting.fresnel,m.opacity=e.opacity,e._pad=p[e.anchor]*m.vectorScale*m.coneScale*e._normMax,m}u.update=function(t){this.data=t;var 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":377,\"./label_defaults\":759}],766:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/attributes\"),o=t(\"../scattermapbox/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scattermapbox/attributes\":1002}],772:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../components/colorscale/calc\"),s=t(\"../../lib\")._;e.exports=function(t,e){for(var r=e._length,l=new Array(r),c=e.z,u=i(c)&&c.length,f=0;f<r;f++){var h=l[f]={},p=e.lon[f],d=e.lat[f];if(h.lonlat=n(p)&&n(d)?[+p,+d]:[a,a],u){var m=c[f];h.z=n(m)?m:a}}return o(t,e,{vals:u?c:[0,1],containerStr:\"\",cLetter:\"z\"}),r&&(l[0].t={labels:{lat:s(t,\"lat:\")+\" \",lon:s(t,\"lon:\")+\" \"}}),l}},{\"../../components/colorscale/calc\":375,\"../../constants/numerical\":491,\"../../lib\":515,\"fast-isnumeric\":190}],773:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../components/color\"),o=t(\"../../components/colorscale\"),s=t(\"../../constants/numerical\").BADNUM,l=t(\"../../lib/geojson_utils\").makeBlank;e.exports=function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:\"none\"},paint:{}},geojson:l()};if(!r)return c;var u,f=[],h=e.z,p=e.radius,d=i.isArrayOrTypedArray(h)&&h.length,m=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var g=t[u],v=g.lonlat;if(v[0]!==s){var y={};if(d){var x=g.z;y.z=x!==s?x:0}m&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:f},c.heatmap.layout.visibility=\"visible\",c}},{\"../../components/color\":367,\"../../components/colorscale\":379,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],774:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":377,\"../../lib\":515,\"./attributes\":771}],775:[function(t,e,r){\"use 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a&&-1===a.indexOf(\"plotly-\"))return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}},{\"../../plots/mapbox\":622,\"../heatmap/colorbar\":804,\"../scattermapbox/format_labels\":1006,\"./attributes\":771,\"./calc\":772,\"./defaults\":774,\"./event_data\":775,\"./hover\":776,\"./plot\":778}],778:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),i=t(\"../../plots/mapbox/constants\").traceLayerPrefix;function a(t,e){this.type=\"densitymapbox\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"heatmap\",i+e+\"-heatmap\"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,\"numbersScale\",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var Z=O.selectAll(\"g.bullet\").data(R?e:[]);Z.exit().remove();var X=O.selectAll(\"g.bulletaxis\").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.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\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([g]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:Z,layer:X,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axes\":566,\"../../plots/cartesian/axis_defaults\":568,\"../../plots/cartesian/layout_attributes\":579,\"../../plots/cartesian/position_defaults\":582,\"./constants\":867,\"@plotly/d3\":58,\"d3-interpolate\":116}],871:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":375,\"../streamtube/calc\":1054}],873:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcats\"),a=e._has&&e._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":602,\"./plot\":896}],892:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{\"../../components/colorscale/calc\":375,\"../../components/colorscale/helpers\":378,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/filter_unique.js\":506,\"../../lib/gup\":512,\"fast-isnumeric\":190}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",g)}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/domain\":593,\"../parcoords/merge_length\":907,\"./attributes\":890}],894:[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\":890,\"./base_plot\":891,\"./calc\":892,\"./defaults\":893,\"./plot\":896}],895:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll(\"g.parcatslayer\").data([null]);u.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=u.selectAll(\"g.trace.parcats\").data(o,p),y=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),y.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",v).on(\"click\",b),y.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.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\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return 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t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var 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t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<g.length;r++){var x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.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\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":515,\"../../lib/gup\":512,\"./constants\":902,\"@plotly/d3\":58}],899:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":897,\"./base_plot\":900,\"./calc\":901,\"./defaults\":903}],900:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":492,\"../../plots/get_data\":602,\"./plot\":909,\"@plotly/d3\":58}],901:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gup\":512}],902:[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,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],903:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\"values\",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/cartesian/axes\":566,\"../../plots/domain\":593,\"./attributes\":897,\"./axisbrush\":898,\"./constants\":902,\"./merge_length\":907}],904:[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\":515}],905:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":899,\"./plot\":909}],906:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var m=[[],[]],g=0;g<64;g++)m[0][g]=g===i?1:0,m[1][g]=g===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(e.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},c={},u={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;u[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,c[r]=t.data[i].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=c[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[u[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[u[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,c[e].filter(a));l[e].sort(n),c[e].filter((function(t){return!a(t)})).sort((function(t){return c[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(c[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},{\"../../lib/prepare_regl\":528,\"./helpers\":904,\"./parcoords\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",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\":366,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/domain\":593,\"../../plots/font_attributes\":594,\"../../plots/template_attributes\":642}],911:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":628}],912:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":367,\"fast-isnumeric\":190,tinycolor2:313}],913:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":515,\"../../plots/domain\":593,\"../bar/defaults\":661,\"./attributes\":910,\"fast-isnumeric\":190}],914:[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,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":403}],915:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":515}],916:[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\":910,\"./base_plot\":911,\"./calc\":912,\"./defaults\":913,\"./layout_attributes\":917,\"./layout_defaults\":918,\"./plot\":919,\"./style\":920,\"./style_one\":921}],917:[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\"}}},{}],918:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":515,\"./layout_attributes\":917}],919:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(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 O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),O(e,h);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],v=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,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=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var y=n.select(this).selectAll(\"g.slice\").data(e);y.enter().append(\"g\").classed(\"slice\",!0),y.exit().remove();var _=[[[],[]],[[],[]]],T=!1;y.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=v.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),v.pull){var y=+g.castOption(v.pull,i.pts)||0;y>0&&(c+=y*i.pxmid[0],u+=y*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=v.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(v.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(v,i,a.font):b(v,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,y=s.bBox(r.node());if(\"outside\"===E)d=L(y,i);else if(d=w(y,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,v.outsidetextfont);r.call(s.font,x),d=L(y=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(m.r,_);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,y),d.outside){var A=d.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(v.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(v.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=v.title.text;v._meta&&(i=l.templateString(i,v._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v.title.font).call(f.convertToTspans,t),e=\"middle center\"===v.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}}(m):C(m,h),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(_,v),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(y,v),T&&v.automargin){var A=s.bBox(d.node()),M=v.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-m.r)/h.w,I=(.5*E-m.r)/h.h;i.autoMargin(t,\"pie.\"+v.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/plots\":628,\"../bar/constants\":659,\"../bar/uniform_text\":673,\"./event_data\":914,\"./helpers\":915,\"@plotly/d3\":58}],920:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":673,\"./style_one\":921,\"@plotly/d3\":58}],921:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":367,\"./helpers\":915}],922:[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\":936}],923:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":367,\"../../components/fx\":407,\"../../lib\":515,\"./constants\":929,\"./render\":933,\"@plotly/d3\":58}],933:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f,m=\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,b=r.filter((function(t){return 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,backoff:u.backoff,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,angle:c.angle,angleref:c.angleref,standoff:c.standoff,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936}],971:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p,{backoff:!0}),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":515,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/line_shape_defaults\":951,\"../scatter/marker_defaults\":955,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"./attributes\":970}],973:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],974:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],975:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);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,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":515,\"../scatter/hover\":947}],976:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f=i.getFromId(t,u.xaxis||\"x\"),h=i.getFromId(t,u.yaxis||\"y\"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":389,\"../../plots/cartesian/axes\":566,\"../scatter/plot\":957}],978:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t,e){var r,n,i=e._length,o=e.marker,l={},c=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),m=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),v=s.isArrayOrTypedArray(o.size),y=s.isArrayOrTypedArray(o.line.width);if(c||(n=p.isOpenSymbol(o.symbol)),c||d||m||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=u(o,o.opacity,i),w=u(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)c&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(v||y){var C,P=l.sizes=new Array(i),I=l.borderSizes=new Array(i),O=0;if(v){for(r=0;r<i;r++)P[r]=L(o.size[r]),O+=P[r];C=O/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(y)for(r=0;r<i;r++)I[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)I[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],c=!!l.symbolNoDot[o%100],u=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!c?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:u?A:-A}),M[a]=n,n||null}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(t,e),n.markerSel=b(t,e,e.selected),n.markerUnsel=b(t,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/interactions\":490,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../plots/cartesian/axis_ids\":570,\"../../registry\":647,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"./constants\":991,\"./helpers\":996,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":311}],993:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/marker_defaults\":955,\"../scatter/period_defaults\":956,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"../scatter/xy_defaults\":963,\"./attributes\":988,\"./helpers\":996}],994:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":367,\"../../constants/interactions\":490,\"../../lib\":515}],995:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":945}],996:[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\":991}],997:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/get_trace_color\":946}],998:[function(t,e,r){arguments[4][905][0].apply(r,arguments)},{\"./base_index\":989,\"./plot\":999,dup:905}],999:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var 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A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[e+1];if(g){var v=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(v.length/2);e--;){var x=v[2*e],b=v[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=y.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),y.fill2d.update(y.fillOptions))}var M=v.dragmode,S=l(M),E=v.clickmode.indexOf(\"select\")>-1;for(m=0;m<_;m++){var L=r[m][0],C=L.trace,P=L.t,I=P.index,O=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var 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V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":385,\"../../lib\":515,\"../../lib/prepare_regl\":528,\"../scatter/link_traces\":952,\"../scatter/subtypes\":961,\"./edit_style\":994,\"gl-text\":225,\"regl-error2d\":280,\"regl-line2d\":281,\"regl-scatter2d\":282}],1e3:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":961,\"./edit_style\":994}],1002:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=t(\"../../plots/mapbox/layout_attributes\"),p=a.line,d=a.marker;e.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:u({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:u({},d.opacity,{dflt:1})},mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/mapbox/layout_attributes\":624,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936,\"../scattergeo/attributes\":978}],1003:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=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\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(t){return{type:t,geojson:o.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}function x(t,e){var r;if(i.isArrayOrTypedArray(t)&&i.isArrayOrTypedArray(e)){r=[\"step\",[\"get\",\"point_count\"],t[0]];for(var n=1;n<t.length;n++)r.push(e[n-1],t[n])}else r=t;return r}e.exports=function(t,e){var r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=u.hasLines(a),T=u.hasMarkers(a),k=u.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=m(\"fill\"),L=m(\"line\"),C=m(\"circle\"),P=m(\"symbol\"),I={fill:E,line:L,circle:C,symbol:P};if(!b)return I;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var O=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)};var k}(e);C.geojson=O.geojson,C.layout.visibility=\"visible\",S&&(C.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":x(a.cluster.color,a.cluster.step),\"circle-radius\":x(a.cluster.size,a.cluster.step),\"circle-opacity\":x(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":[\"Open Sans Regular\",\"Arial Unicode MS Regular\"],\"text-size\":12}}),i.extendFlat(C.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(A&&S&&(C.filter=[\"!\",[\"has\",\"point_count\"]]),(M||k)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?g(o):v,c=\"auto\"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\"\":w,k=n._module.formatLabels(b,n,r),A={};h(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(x);_&&(_=_.replace(p,\"\").replace(d,\"\\n\")),m.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:\"FeatureCollection\",features:m}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var z=(a.marker||{}).size,D=f(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":D.anchor,\"text-offset\":D.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"../../lib/svg_text_utils\":541,\"../../plots/mapbox/convert_text_opts\":621,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"fast-isnumeric\":190}],1004:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}function h(r,i){return n.coerce2(t,e,c,r,i)}if(function(t,e,r){var 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../bar/style\":671,\"../bar/uniform_text\":673,\"../pie/helpers\":915,\"../pie/plot\":919,\"./constants\":1061,\"./fx\":1063,\"./helpers\":1064,\"./style\":1069,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1069:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":367,\"../../lib\":515,\"../bar/uniform_text\":673,\"@plotly/d3\":58}],1070:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":367,\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/cartesian/axis_format_attributes\":569,\"../../plots/template_attributes\":642}],1071:[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\":375}],1072:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1133,\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../lib/str2rgbarray\":540,\"../heatmap/find_empties\":807,\"../heatmap/interp2d\":810}],1073:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,Z)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,Z)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Z)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Z)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].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=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;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),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}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 i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],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(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.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])}},m.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\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*m[W]+G*m[Z],B=Y*m[W+1]+G*m[Z+1],N=Y*m[W+2]+G*m[Z+2],j=Y*m[W+3]+G*m[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[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:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(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,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[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}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[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}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(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 P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(X[0],X[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/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*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[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:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[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);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var Z=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+Z[1]),O+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Z[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[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:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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 c=l.prototype;Object.defineProperty(c,\"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){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.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))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.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 i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=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 f(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 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var Z=n.create();return n.lerp(Z,Y,W,O),Z}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,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=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],Z+this.objectOffset[0]),O[1]=Math.max(O[1],X+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(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,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(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=m(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 u,h,d=0;if(2===o.length)d=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])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],238:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var 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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var m=i[2],g=i[6],v=i[10],y=m*a+g*o+v*s,x=m*u+g*f+v*h,b=l(m-=y*a+x*u,g-=y*o+x*f,v-=y*s+x*h);m/=b,g/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
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+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
+       "\"use strict\";var n,i=\"\";e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"expected a string\");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||void 0===n)n=t,i=\"\";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],278:[function(t,e,r){(function(t){(function(){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],279:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i<e;++i){var l;a=t[i];(l=(o=r)-((r=a+o)-a))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],280:[function(t,e,r){\"use strict\";var 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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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e.triangles||e.triangulate||e.triangle?{cells:s(a,c,{delaunay:!1,exterior:!1,interior:!0}),positions:a}:{edges:c,positions:a}}function h(t,e,r){try{return f(t,e,r,!0)}catch(t){}try{return f(t,e,r,!1)}catch(t){}return e.polygons||e.polyline||e.polygon?[]:e.triangles||e.triangulate||e.triangle?{cells:[],positions:[]}:{edges:[],positions:[]}}},{cdt2d:42,\"clean-pslg\":50,ndarray:259,\"planar-graph-to-polyline\":268,\"simplify-planar-graph\":297,\"surface-nets\":302}],313:[function(t,e,r){!function(){\"use strict\";if(\"undefined\"==typeof ses||!ses.ok||ses.ok()){\"undefined\"!=typeof ses&&(ses.weakMapPermitHostObjects=m);var t=!1;if(\"function\"==typeof WeakMap){var r=WeakMap;if(\"undefined\"!=typeof navigator&&/Firefox/.test(navigator.userAgent));else{var n=new r,i=Object.freeze({});if(n.set(i,1),1===n.get(i))return void(e.exports=WeakMap);t=!0}}Object.prototype.hasOwnProperty;var a=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return a(t).filter(g)}}),\"getPropertyNames\"in Object){var f=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return f(t).filter(g)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var h=!1,p=0,d=function(){this instanceof d||x();var 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+       "        });\n",
+       "        require(['plotly'], function(Plotly) {\n",
+       "            window._Plotly = Plotly;\n",
+       "        });\n",
+       "        }\n",
+       "        </script>\n",
+       "        "
       ]
      },
-     "execution_count": 4,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     },
     {
      "data": {
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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('324789ba-c27a-4fda-aa06-f73f976bc584');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
       ]
      },
      "metadata": {},
@@ -265,20 +7281,14 @@
     "    2: 'ε = 0 (greedy)'\n",
     "}\n",
     "\n",
-    "colors = {\n",
-    "    'ε = 0.1': 'tab:blue',\n",
-    "    'ε = 0.01': 'tab:red',\n",
-    "    'ε = 0 (greedy)': 'tab:green'\n",
-    "}\n",
-    "\n",
     "(\n",
     "    trace_df\n",
     "    .assign(policy=trace_df.policy_idx.map(policy_names))\n",
     "    .groupby(['step', 'policy'])\n",
     "    ['reward'].mean()\n",
     "    .unstack()\n",
-    "    .plot(color=colors)\n",
-    ")"
+    "    .plot()\n",
+    ")\n"
    ]
   },
   {
@@ -306,10 +7316,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:46:17.670738Z",
-     "iopub.status.busy": "2023-09-02T00:46:17.670193Z",
-     "iopub.status.idle": "2023-09-02T00:46:55.332617Z",
-     "shell.execute_reply": "2023-09-02T00:46:55.332268Z"
+     "iopub.execute_input": "2023-11-09T07:11:27.353460Z",
+     "iopub.status.busy": "2023-11-09T07:11:27.353266Z",
+     "iopub.status.idle": "2023-11-09T07:11:58.339423Z",
+     "shell.execute_reply": "2023-11-09T07:11:58.338741Z"
     }
    },
    "outputs": [
@@ -317,9 +7327,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  0%|                                               | 0/6000000 [00:00<?, ?it/s]/Users/max/.pyenv/versions/3.10/envs/river310/lib/python3.10/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n",
-      "  if not isinstance(terminated, (bool, np.bool8)):\n",
-      "100%|█████████████████████████████| 6000000/6000000 [00:34<00:00, 172261.07it/s]\n"
+      "  0%|                                                                                             | 0/6000000 [00:00<?, ?it/s]/Users/max/.pyenv/versions/3.11.0/lib/python3.11/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning:\n",
+      "\n",
+      "`np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n",
+      "\n",
+      "100%|███████████████████████████████████████████████████████████████████████████| 6000000/6000000 [00:27<00:00, 217009.72it/s]\n"
      ]
     }
    ],
@@ -361,11 +7373,11 @@
     "                })\n",
     "                step += 1\n",
     "                progress.update()\n",
-    "                \n",
+    "\n",
     "                if terminated or truncated:\n",
     "                    break\n",
     "\n",
-    "trace_df = pd.DataFrame(trace)"
+    "trace_df = pd.DataFrame(trace)\n"
    ]
   },
   {
@@ -373,28 +7385,6958 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:46:55.334518Z",
-     "iopub.status.busy": "2023-09-02T00:46:55.334409Z",
-     "iopub.status.idle": "2023-09-02T00:46:55.801384Z",
-     "shell.execute_reply": "2023-09-02T00:46:55.800963Z"
+     "iopub.execute_input": "2023-11-09T07:11:58.343254Z",
+     "iopub.status.busy": "2023-11-09T07:11:58.343107Z",
+     "iopub.status.idle": "2023-11-09T07:11:58.756158Z",
+     "shell.execute_reply": "2023-11-09T07:11:58.755849Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<Axes: xlabel='step'>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('eab901ad-0322-4470-8382-0796edeb64af');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
       ]
      },
      "metadata": {},
@@ -413,8 +14355,8 @@
     "    .groupby(['step', 'policy'])\n",
     "    ['is_action_optimal'].mean()\n",
     "    .unstack()\n",
-    "    .plot(color=colors)\n",
-    ")"
+    "    .plot()\n",
+    ")\n"
    ]
   },
   {
@@ -442,10 +14384,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:46:55.803532Z",
-     "iopub.status.busy": "2023-09-02T00:46:55.803411Z",
-     "iopub.status.idle": "2023-09-02T00:47:10.886177Z",
-     "shell.execute_reply": "2023-09-02T00:47:10.885753Z"
+     "iopub.execute_input": "2023-11-09T07:11:58.758656Z",
+     "iopub.status.busy": "2023-11-09T07:11:58.758571Z",
+     "iopub.status.idle": "2023-11-09T07:12:10.603815Z",
+     "shell.execute_reply": "2023-11-09T07:12:10.603493Z"
     }
    },
    "outputs": [
@@ -453,7 +14395,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|████████████████████████████████| 180000/180000 [00:14<00:00, 12305.42it/s]\n"
+      "  0%|                                                                                              | 0/180000 [00:00<?, ?it/s]/Users/max/.pyenv/versions/3.11.0/lib/python3.11/site-packages/gym/utils/passive_env_checker.py:233: DeprecationWarning:\n",
+      "\n",
+      "`np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)\n",
+      "\n",
+      "100%|██████████████████████████████████████████████████████████████████████████████| 180000/180000 [00:11<00:00, 15833.16it/s]\n"
      ]
     }
    ],
@@ -491,7 +14437,7 @@
     "        len(policies) *\n",
     "        env._max_episode_steps\n",
     "    )\n",
-    "))"
+    "))\n"
    ]
   },
   {
@@ -507,10 +14453,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:10.889230Z",
-     "iopub.status.busy": "2023-09-02T00:47:10.888879Z",
-     "iopub.status.idle": "2023-09-02T00:47:10.920296Z",
-     "shell.execute_reply": "2023-09-02T00:47:10.919855Z"
+     "iopub.execute_input": "2023-11-09T07:12:10.605639Z",
+     "iopub.status.busy": "2023-11-09T07:12:10.605530Z",
+     "iopub.status.idle": "2023-11-09T07:12:10.628929Z",
+     "shell.execute_reply": "2023-11-09T07:12:10.628643Z"
     }
    },
    "outputs": [
@@ -536,7 +14482,7 @@
     "    .last()\n",
     "    .groupby('policy_idx')\n",
     "    .reward_stat.mean()\n",
-    ")"
+    ")\n"
    ]
   },
   {
@@ -552,10 +14498,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:10.922780Z",
-     "iopub.status.busy": "2023-09-02T00:47:10.922621Z",
-     "iopub.status.idle": "2023-09-02T00:47:10.942044Z",
-     "shell.execute_reply": "2023-09-02T00:47:10.941645Z"
+     "iopub.execute_input": "2023-11-09T07:12:10.630579Z",
+     "iopub.status.busy": "2023-11-09T07:12:10.630486Z",
+     "iopub.status.idle": "2023-11-09T07:12:10.644252Z",
+     "shell.execute_reply": "2023-11-09T07:12:10.643954Z"
     }
    },
    "outputs": [],
@@ -563,7 +14509,7 @@
     "policy = bandit.ThompsonSampling(\n",
     "    reward_obj=utils.Rolling(proba.Beta(), window_size=50),\n",
     "    seed=42\n",
-    ")"
+    ")\n"
    ]
   },
   {
@@ -591,7 +14537,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
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diff --git a/docs/recipes/cloning-and-mutating.ipynb b/docs/recipes/cloning-and-mutating.ipynb
index ddbe05762a..d6a02b2893 100644
--- a/docs/recipes/cloning-and-mutating.ipynb
+++ b/docs/recipes/cloning-and-mutating.ipynb
@@ -32,10 +32,10 @@
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    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:14.907305Z",
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-     "iopub.status.idle": "2023-09-02T00:47:15.427685Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.427346Z"
+     "iopub.execute_input": "2023-11-09T07:12:14.614014Z",
+     "iopub.status.busy": "2023-11-09T07:12:14.613918Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.278409Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.278103Z"
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    "outputs": [
@@ -84,10 +84,10 @@
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    "metadata": {
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-     "iopub.execute_input": "2023-09-02T00:47:15.429544Z",
-     "iopub.status.busy": "2023-09-02T00:47:15.429413Z",
-     "iopub.status.idle": "2023-09-02T00:47:15.445458Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.445169Z"
+     "iopub.execute_input": "2023-11-09T07:12:15.280319Z",
+     "iopub.status.busy": "2023-11-09T07:12:15.280159Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.291337Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.290972Z"
     }
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    "outputs": [
@@ -119,10 +119,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:15.446941Z",
-     "iopub.status.busy": "2023-09-02T00:47:15.446861Z",
-     "iopub.status.idle": "2023-09-02T00:47:15.461269Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.461009Z"
+     "iopub.execute_input": "2023-11-09T07:12:15.292958Z",
+     "iopub.status.busy": "2023-11-09T07:12:15.292859Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.303181Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.302884Z"
     }
    },
    "outputs": [
@@ -153,10 +153,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:15.462780Z",
-     "iopub.status.busy": "2023-09-02T00:47:15.462696Z",
-     "iopub.status.idle": "2023-09-02T00:47:15.478156Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.477877Z"
+     "iopub.execute_input": "2023-11-09T07:12:15.305083Z",
+     "iopub.status.busy": "2023-11-09T07:12:15.304977Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.316198Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.315936Z"
     }
    },
    "outputs": [
@@ -199,10 +199,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:15.479822Z",
-     "iopub.status.busy": "2023-09-02T00:47:15.479718Z",
-     "iopub.status.idle": "2023-09-02T00:47:15.494557Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.494300Z"
+     "iopub.execute_input": "2023-11-09T07:12:15.318108Z",
+     "iopub.status.busy": "2023-11-09T07:12:15.318010Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.328812Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.328507Z"
     }
    },
    "outputs": [
@@ -259,10 +259,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:15.496160Z",
-     "iopub.status.busy": "2023-09-02T00:47:15.496051Z",
-     "iopub.status.idle": "2023-09-02T00:47:15.510498Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.510249Z"
+     "iopub.execute_input": "2023-11-09T07:12:15.330406Z",
+     "iopub.status.busy": "2023-11-09T07:12:15.330274Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.341128Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.340884Z"
     }
    },
    "outputs": [
@@ -302,10 +302,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:15.512118Z",
-     "iopub.status.busy": "2023-09-02T00:47:15.512016Z",
-     "iopub.status.idle": "2023-09-02T00:47:15.526106Z",
-     "shell.execute_reply": "2023-09-02T00:47:15.525849Z"
+     "iopub.execute_input": "2023-11-09T07:12:15.342749Z",
+     "iopub.status.busy": "2023-11-09T07:12:15.342656Z",
+     "iopub.status.idle": "2023-11-09T07:12:15.352480Z",
+     "shell.execute_reply": "2023-11-09T07:12:15.352220Z"
     }
    },
    "outputs": [
@@ -357,7 +357,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
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  "nbformat": 4,
diff --git a/docs/recipes/feature-extraction.ipynb b/docs/recipes/feature-extraction.ipynb
index 6946531b72..99176c605e 100644
--- a/docs/recipes/feature-extraction.ipynb
+++ b/docs/recipes/feature-extraction.ipynb
@@ -26,7 +26,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/hyperparameter-tuning.ipynb b/docs/recipes/hyperparameter-tuning.ipynb
index 60fbfeec44..5845f2a2e5 100644
--- a/docs/recipes/hyperparameter-tuning.ipynb
+++ b/docs/recipes/hyperparameter-tuning.ipynb
@@ -26,7 +26,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/mini-batching.ipynb b/docs/recipes/mini-batching.ipynb
index 55171c730b..a5caf1f71c 100644
--- a/docs/recipes/mini-batching.ipynb
+++ b/docs/recipes/mini-batching.ipynb
@@ -27,10 +27,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:19.690408Z",
-     "iopub.status.busy": "2023-09-02T00:47:19.690002Z",
-     "iopub.status.idle": "2023-09-02T00:47:19.982956Z",
-     "shell.execute_reply": "2023-09-02T00:47:19.982423Z"
+     "iopub.execute_input": "2023-11-09T07:12:18.733548Z",
+     "iopub.status.busy": "2023-11-09T07:12:18.732309Z",
+     "iopub.status.idle": "2023-11-09T07:12:19.155741Z",
+     "shell.execute_reply": "2023-11-09T07:12:19.155229Z"
     },
     "tags": []
    },
@@ -59,10 +59,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:19.985156Z",
-     "iopub.status.busy": "2023-09-02T00:47:19.985035Z",
-     "iopub.status.idle": "2023-09-02T00:47:20.135471Z",
-     "shell.execute_reply": "2023-09-02T00:47:20.135161Z"
+     "iopub.execute_input": "2023-11-09T07:12:19.157941Z",
+     "iopub.status.busy": "2023-11-09T07:12:19.157830Z",
+     "iopub.status.idle": "2023-11-09T07:12:19.299474Z",
+     "shell.execute_reply": "2023-11-09T07:12:19.299080Z"
     },
     "tags": []
    },
@@ -115,10 +115,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:20.137202Z",
-     "iopub.status.busy": "2023-09-02T00:47:20.137073Z",
-     "iopub.status.idle": "2023-09-02T00:47:22.480898Z",
-     "shell.execute_reply": "2023-09-02T00:47:22.480072Z"
+     "iopub.execute_input": "2023-11-09T07:12:19.301498Z",
+     "iopub.status.busy": "2023-11-09T07:12:19.301310Z",
+     "iopub.status.idle": "2023-11-09T07:12:21.509203Z",
+     "shell.execute_reply": "2023-11-09T07:12:21.507870Z"
     },
     "tags": []
    },
@@ -167,10 +167,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:22.487000Z",
-     "iopub.status.busy": "2023-09-02T00:47:22.486628Z",
-     "iopub.status.idle": "2023-09-02T00:47:22.661933Z",
-     "shell.execute_reply": "2023-09-02T00:47:22.660360Z"
+     "iopub.execute_input": "2023-11-09T07:12:21.521202Z",
+     "iopub.status.busy": "2023-11-09T07:12:21.518551Z",
+     "iopub.status.idle": "2023-11-09T07:12:21.796322Z",
+     "shell.execute_reply": "2023-11-09T07:12:21.795900Z"
     },
     "tags": []
    },
@@ -179,6 +179,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "LocalOutlierFactor\n",
       "OneClassSVM\n",
       "MiniBatchClassifier\n",
       "MiniBatchRegressor\n",
@@ -248,7 +249,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/recipes/model-evaluation.ipynb b/docs/recipes/model-evaluation.ipynb
index fdec5e2a62..98d5773c9f 100644
--- a/docs/recipes/model-evaluation.ipynb
+++ b/docs/recipes/model-evaluation.ipynb
@@ -26,7 +26,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/on-hoeffding-trees.ipynb b/docs/recipes/on-hoeffding-trees.ipynb
index f6885ce5a5..f4c7e88dbc 100644
--- a/docs/recipes/on-hoeffding-trees.ipynb
+++ b/docs/recipes/on-hoeffding-trees.ipynb
@@ -42,10 +42,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:25.579132Z",
-     "iopub.status.busy": "2023-09-02T00:47:25.577642Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.259239Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.258767Z"
+     "iopub.execute_input": "2023-11-09T07:12:24.033707Z",
+     "iopub.status.busy": "2023-11-09T07:12:24.033195Z",
+     "iopub.status.idle": "2023-11-09T07:12:24.716588Z",
+     "shell.execute_reply": "2023-11-09T07:12:24.716288Z"
     },
     "tags": []
    },
@@ -101,10 +101,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.261286Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.261109Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.279789Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.279553Z"
+     "iopub.execute_input": "2023-11-09T07:12:24.718570Z",
+     "iopub.status.busy": "2023-11-09T07:12:24.718415Z",
+     "iopub.status.idle": "2023-11-09T07:12:24.730873Z",
+     "shell.execute_reply": "2023-11-09T07:12:24.730624Z"
     },
     "tags": []
    },
@@ -146,10 +146,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.281400Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.281292Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.358785Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.358539Z"
+     "iopub.execute_input": "2023-11-09T07:12:24.732442Z",
+     "iopub.status.busy": "2023-11-09T07:12:24.732344Z",
+     "iopub.status.idle": "2023-11-09T07:12:24.783220Z",
+     "shell.execute_reply": "2023-11-09T07:12:24.782961Z"
     },
     "tags": []
    },
@@ -158,8 +158,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 56.8 ms, sys: 984 µs, total: 57.8 ms\n",
-      "Wall time: 58.7 ms\n"
+      "CPU times: user 38.3 ms, sys: 576 µs, total: 38.9 ms\n",
+      "Wall time: 39.1 ms\n"
      ]
     },
     {
@@ -340,10 +340,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.360423Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.360333Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.377160Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.376919Z"
+     "iopub.execute_input": "2023-11-09T07:12:24.784739Z",
+     "iopub.status.busy": "2023-11-09T07:12:24.784651Z",
+     "iopub.status.idle": "2023-11-09T07:12:24.795420Z",
+     "shell.execute_reply": "2023-11-09T07:12:24.795171Z"
     },
     "scrolled": true,
     "tags": []
@@ -382,10 +382,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.378797Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.378690Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.400293Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.400007Z"
+     "iopub.execute_input": "2023-11-09T07:12:24.796869Z",
+     "iopub.status.busy": "2023-11-09T07:12:24.796796Z",
+     "iopub.status.idle": "2023-11-09T07:12:24.811763Z",
+     "shell.execute_reply": "2023-11-09T07:12:24.811525Z"
     },
     "scrolled": true,
     "tags": []
@@ -519,10 +519,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.401863Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.401742Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.618111Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.617761Z"
+     "iopub.execute_input": "2023-11-09T07:12:24.813361Z",
+     "iopub.status.busy": "2023-11-09T07:12:24.813263Z",
+     "iopub.status.idle": "2023-11-09T07:12:25.638044Z",
+     "shell.execute_reply": "2023-11-09T07:12:25.637696Z"
     },
     "scrolled": true,
     "tags": []
@@ -612,7 +612,7 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x12095e6e0>"
+       "<graphviz.graphs.Digraph at 0x13335d590>"
       ]
      },
      "execution_count": 6,
@@ -638,10 +638,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.619835Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.619719Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.642713Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.642457Z"
+     "iopub.execute_input": "2023-11-09T07:12:25.639707Z",
+     "iopub.status.busy": "2023-11-09T07:12:25.639596Z",
+     "iopub.status.idle": "2023-11-09T07:12:25.653628Z",
+     "shell.execute_reply": "2023-11-09T07:12:25.653382Z"
     },
     "tags": []
    },
@@ -676,10 +676,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.644283Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.644178Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.660584Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.660339Z"
+     "iopub.execute_input": "2023-11-09T07:12:25.654977Z",
+     "iopub.status.busy": "2023-11-09T07:12:25.654895Z",
+     "iopub.status.idle": "2023-11-09T07:12:25.666522Z",
+     "shell.execute_reply": "2023-11-09T07:12:25.666261Z"
     },
     "tags": []
    },
@@ -733,10 +733,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.662225Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.662130Z",
-     "iopub.status.idle": "2023-09-02T00:47:26.680747Z",
-     "shell.execute_reply": "2023-09-02T00:47:26.680428Z"
+     "iopub.execute_input": "2023-11-09T07:12:25.668086Z",
+     "iopub.status.busy": "2023-11-09T07:12:25.667992Z",
+     "iopub.status.idle": "2023-11-09T07:12:25.682408Z",
+     "shell.execute_reply": "2023-11-09T07:12:25.682125Z"
     },
     "tags": []
    },
@@ -794,10 +794,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:26.682371Z",
-     "iopub.status.busy": "2023-09-02T00:47:26.682280Z",
-     "iopub.status.idle": "2023-09-02T00:47:39.546460Z",
-     "shell.execute_reply": "2023-09-02T00:47:39.546168Z"
+     "iopub.execute_input": "2023-11-09T07:12:25.683859Z",
+     "iopub.status.busy": "2023-11-09T07:12:25.683779Z",
+     "iopub.status.idle": "2023-11-09T07:12:35.869948Z",
+     "shell.execute_reply": "2023-11-09T07:12:35.869632Z"
     },
     "scrolled": true,
     "tags": []
@@ -805,7 +805,7 @@
    "outputs": [
     {
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       "text/plain": [
        "<Figure size 3000x1500 with 3 Axes>"
       ]
@@ -851,17 +851,17 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:39.548276Z",
-     "iopub.status.busy": "2023-09-02T00:47:39.548181Z",
-     "iopub.status.idle": "2023-09-02T00:47:50.829755Z",
-     "shell.execute_reply": "2023-09-02T00:47:50.829454Z"
+     "iopub.execute_input": "2023-11-09T07:12:35.872146Z",
+     "iopub.status.busy": "2023-11-09T07:12:35.872058Z",
+     "iopub.status.idle": "2023-11-09T07:12:44.214838Z",
+     "shell.execute_reply": "2023-11-09T07:12:44.214473Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 3000x1500 with 3 Axes>"
       ]
@@ -906,17 +906,17 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:50.832249Z",
-     "iopub.status.busy": "2023-09-02T00:47:50.831992Z",
-     "iopub.status.idle": "2023-09-02T00:47:58.646407Z",
-     "shell.execute_reply": "2023-09-02T00:47:58.646096Z"
+     "iopub.execute_input": "2023-11-09T07:12:44.217237Z",
+     "iopub.status.busy": "2023-11-09T07:12:44.217130Z",
+     "iopub.status.idle": "2023-11-09T07:12:49.774043Z",
+     "shell.execute_reply": "2023-11-09T07:12:49.773780Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 3000x1500 with 3 Axes>"
       ]
@@ -987,17 +987,17 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:47:58.648463Z",
-     "iopub.status.busy": "2023-09-02T00:47:58.648373Z",
-     "iopub.status.idle": "2023-09-02T00:48:21.211763Z",
-     "shell.execute_reply": "2023-09-02T00:48:21.211450Z"
+     "iopub.execute_input": "2023-11-09T07:12:49.776942Z",
+     "iopub.status.busy": "2023-11-09T07:12:49.776838Z",
+     "iopub.status.idle": "2023-11-09T07:13:05.965442Z",
+     "shell.execute_reply": "2023-11-09T07:13:05.965103Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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ZeT5+5p4f94TpQ/gbwLTo6ekx9fX1Of/D/qUvfank+H379pnVq1fnjP/0pz89iysGAGB2rV+/3qxevdrccsstZnR0dNzxsVjMvPe97y34ASs/6FzKm9/85pzzTj31VDM4OFh0bCKRKLjWYYcdVvBheDFbtmwxdrs959wf/vCHJcc/99xzpqmpKWf8rbfeOqfuCQCAqdq0aZOxLMtIyX8U9ZWvfGXSH2B/8pOfzDl3zZo1OR+25vvCF76QM76xsXHcX1obM7s/18/WPQEAMBF/+9vfjMfjyTxvnE5n2Z9v81XybOK5znMdADCzjjvuuJznzCmnnGJGRkbKnvPAAw8Yh8ORc94Xv/jFsud8+9vfzhnf3Nxsnn/++ZLjb7/99pzxDoejILxdTDgcLnhGv//9788Je2UbGBgwp5xySs74t7/97eNeZzbvCQCw8KTD3/X19WbDhg3mYx/7mLnzzjvNrl27zKZNm6Yt/M3P3PPjnjB9CH8DmBYf//jHc/4H/Zxzzin5Q2fa/fffn3NOfX296enpmaUVAwAwu375y1+acDg8oXNisVjBB7Vvectbxj3vueeey6m64XK5zAsvvFD2nGAwaI444oica33nO98Z91pvfOMbc85529veNu45+ZXUVq1alVM5pNr3BADAVIyOjprDDjss8+z54Ac/OOkPsLu6ugoqn9x///1lz0kkEuacc87JOeef//mfx73WbP1cP5v3BADARGzcuDHnWfOTn/xkWufnuT61ewIAYDzbt2/Peb5IMps3b67o3PxKmWeccUbJseFw2KxYsSJn/Pe+971xr/H3f//3E/6s/+abb84554gjjjDBYLDsOc8//3xONXO73W62bNlS9pzZvCcAwMKzbds28/zzz5t4PF5wbLrC3/zMPT/uCdPLJgCYokQiodtuuy2n74YbbpBlWWXPO++88/SKV7wi0x4eHtZPfvKTGVkjAADV9trXvlYul2tC59jtdn384x/P6fvNb34z7nm33nqrEolEpn3llVfqmGOOKXuOx+PRJz7xiZy+W265pew5/f39uvvuuzNty7J0ww03jLu+d73rXVq1alWmvXv3bt1///1lz5mtewIAYKquv/56bd++XZK0cuVKff7zn5/0XD/+8Y81MjKSaZ9zzjk677zzyp5jWZY+85nP5PTdeuutMsaUPGc2f66frXsCAGAi7r33Xm3atCnTvuKKK3TFFVdM6zV4rifxXAcAzJQXX3wxp718+XKdeuqpFZ37hje8Iae9bdu2kmN/85vfaO/evZn26tWr9a53vWvca+Q/j++8804NDg6WPSf/8+xPfvKT8ng8Zc9Zt26d3vSmN2Xa8Xi84L8N8s3mPQEAFp7DDjtM69atk802c1FVfuZOmuv3hOlF+BvAlD3++OPq7u7OtNeuXasNGzZUdO5VV12V077nnnumcWUAAMx/2T8wSVJvb69GR0fLnvPzn/88p53/vC3lTW96k/x+f6b9pz/9SQcOHCg5/r777lMsFsu0N2zYoLVr1457HZvNVvDB8Xj/DTBb9wQAwFT86U9/0te+9rVM+7/+679UV1c36fnuvffenHalz7+NGzdqzZo1mXZnZ6f++Mc/lhw/mz/Xz9Y9AQAwEd/5zndy2vm/KJ0OPNfH8FwHAMyEvr6+nPaKFSsqPnflypU57YGBgZJj859/73rXu8YNR0nJ4NsrX/nKTDsajepXv/pVyfH79u3TU089lWnX1dXpjW9847jXkQqfyflrzjdb9wQAwEzhZ+4xc/meML0IfwOYsvvuuy+nff7551f0w2B6bLaHHnpIgUBg2tYGAMB819zcXNBXrnLGiy++mFOVxO/368wzz6zoWvljjTEFz/ls+ccuuOCCiq4jFf43wC9/+cuSY2fzngAAmKxoNKqrrrpK8XhcUrJi6Ote97pJzzcyMqKHH344p6/SZ61lWXrVq16V01fuWTtbP9fP5j0BAFCp/fv35/yVrRNPPFHHHnvstF6D53ounusAgJnQ2NiY0w4GgxWfmz+2ra2t5NjZ+lw8/zpnnXVWTqGTcs466yz5fL5M+8UXX9Tf/va3iq81U/cEAMBM4GfuXHP1njD9CH8DmLJnnnkmp11pGEuSOjo6tHr16kw7EonohRdemKaVAQAw/+3fv7+gr7W1teT4/OfyaaedJofDUfH1zjrrrLLzlTs2kf8GWL9+vdxud6Z94MCBnH9RXO46M3lPAABM1pe+9CX99a9/lSQ1NTXpP/7jP6Y03/PPP69oNJppr1mzRkuWLKn4/Nl6pk/k5/rZvCcAACr1//7f/8v84y0pWSFruvFcL8RzHQAw3U488cSc9pYtWyoOH23evDmnfdpppxUdd+jQIXV2dmbabrdbJ598csVrnK1nusPhKLiHUteazXsCAGAm8DN3obl4T5h+hL8BTNmWLVty2uvWrZvQ+fnj8+cDAGAhe+SRR3Laq1atksvlKjl+tp7L0Wg0pxr3RK/ldrt12GGHVXQt/lsDADDXvfDCC/rCF76QaX/5y1+e0Aexxczm82+2rsUzHQAwF/3pT3/KaZ9wwgmZ/aefflr/9E//pBNOOEHNzc3y+XxavXq1zj//fP3bv/1b0X+wXQzP9clfBwCASi1fvjwnrBQOhyv6h9nhcFhf+9rXcvquuuqqomPzn1eHH3542c/r8+U//7Zt26ZYLFbRtWbrmT6T9wQAwEzgZ+7JX2e2r4XpRfgbwJQEg0Ht2bMnp2/FihUTmiN//IsvvjjldQEAUCtuvfXWnPZrXvOasuPzn6Mz9VzesWNHzge4Xq+37J/CnMq1ZuueAACYjEQi8f/Zu/P4qOp7/+Pvmez7MhO2ACHJDIuoCCIomaC22kUUrXUrrYW6a6u1vWptr/Wnve1VW29Vem9t61KLdV/QFu0iipIBWRQUBISZJBDCmpnsezJzfn8kjg4JkJCTZcLr+XjkUc72+X4PTvmeM3mf79HVV1+t1tZWSVJhYaGuvfbaPtc1e/zbtWuXmpubu+w3kPf1A3VOAAD0xqHh77y8PNXX1+vqq6/WjBkz9Lvf/U6bNm1SdXW1mpqatGvXLi1fvly33367nE6nfvazn4XNxtUdxvWjt8O4DgAwwwMPPCCr9fMYzN13362//OUvh92/urpal1xySVhI6YILLtAFF1zQ7f59Hf+ysrIUHx8fWm5tbVVpaWm/tDVQY3pvzgkAgP7APffR2xkK5wTzEf4G0Cc+n0+GYYSWY2JiNGLEiF7VyM7ODls+ePCgKX0DACDSvfnmm1q5cmXYukWLFh3xmEPH0bFjx/aqzUPH5YqKih61c+hxx9LW4a4BBuqcAAA4FosXL9aaNWskSbGxsfrTn/4ki8XS57p9Hf9Gjhyp6Ojo0HIwGJTf7++y30De1w/UOQEA0BuHvtXKarVq7ty5XR7G7k5TU5Puu+8+nXfeeaqrqzvsfozrXTGuAwD6g8vl0v/+7/+G7svb29u1aNEizZo1S/fff7+WLl2qf/7zn/rrX/+qm2++Wfn5+Vq2bFno+HPPPVfPPffcYev3dfyTpDFjxhyx5mcO/R67r9+L99eYLvX8nAAA6A/cc3c1FM8J5os++i4AcHj19fVhy4mJib3+JXdSUtIRawIAcDyqrKzU9ddfH7buoosu0qxZs4543KHj6KHj7NEcun9bW5taWloUFxdnajvdHXO4a4CBOicAAHqrtLRUd911V2j5pz/9qSZPnmxK7b6OfxaLRQkJCWFBtO7G2oG8rx+ocwIAoKeCwWCX0PYtt9yijRs3SuoYe84//3ydd955Gjt2rBoaGrRx40Y9/fTT2rt3b+iY5cuXa9GiRXrllVe6bYdxvSvGdQBAf7nxxhs1adIk3XLLLdqyZYukjjd9HPq2jy/Ky8vTHXfcoWuvvTZs5vBDDdT34k1NTQoEAn1qa6DG9N60BQBAf+Ceu6uheE4wHzN/A+iTQ//B/uIrnXoqISHhiDUBADjeBINBfec731F5eXloXVpamhYvXnzUY/s6Nh86LndX04x2umurpze3/XVOAAD01nXXXaeGhgZJ0uTJk/Wzn/3MtNoDNdZG0pjem7YAAOiJmpqasBmuJGnDhg2SJJvNpvfee09/+9vfdMMNN+j888/X5Zdfrvvvv1/bt2/XggULwo579dVXtWTJkm7bYVzvW1sAAPTWl770Ja1fv1633XaboqKijrjv+PHjddttt2nBggVHDH5LgzemH0tbjOkAgOMF99zH3hbXAZGN8DeAPmlubg5bjo2N7XWNQ2fdbGpq6lOfAACIdLfffrv+8Y9/hK374x//qHHjxh312L6Ozd3Nht3d2DyQ1wADdU4AAPTGE088oeXLl0vqmEXjT3/60zGNh4czUGNtJI3pvWkLAICeONwvJKOiovTGG2+osLCw2+3Jycl6+umn9ZWvfCVs/X//9393CZNLjOt9bQsAgN76wx/+oPz8fD344INdZtA+VFlZmW666SZNmDBBTz755BH3Hawx/VjaYkwHABwvuOc+9ra4DohshL8B9MmhT/y0trb2ukZLS8sRawIAcDxZvHixfvvb34atu+OOO3T55Zf36Pi+js2Hjsvd1TSjne7aOtw1wECdEwAAPbVv3z7ddtttoeVrrrnmsOGwYzVQY20kjem9aQsAgJ443DhyzTXXaPbs2Uc81mq16tFHHw2bIXT79u167733jtoO43rv2gIAoKfa2tp0ySWX6MYbb9S+ffskSZmZmbr77ru1bt06VVVVqbW1VXv37tXf/vY3feMb35DFYpEkVVZW6uqrr9btt99+2PqDNaYfS1uM6QCA4wX33MfeFtcBkY3wN4A+SU5ODlvu7inkozn0iZ9DawIAcLx49tlndeutt4atW7Roke6///4e1+jr2Nzdk7jdjc0DeQ0wUOcEAEBPff/731d1dbUkadSoUfr1r39tehsDNdZG0pjem7YAAOiJw40j1157bXmKirEAAQAASURBVI+Oz8vL0znnnBO2rrvwN+N639oCAKC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j6dy+tbVVzc3NioqKMrWf7s450meAYF0TAAC9VVJSojvvvNO//bOf/UwTJ040pXZf5z+LxaKYmJiAIFp3c20w7+uDdU0AAPSUz+frEtq++eabtWnTJkntc8+5556rc845R6NHj1Z9fb02bdqkf/zjH9q/f7//nBUrVmjx4sV6+eWXu+2Heb0r5nUAQH+54YYbNGHCBN18883aunWrpPY3fXR+28eXZWdn6/bbb9c111wTsHJ4Z8H6XryxsVFer7dPfQVrTu9NXwAA9AfuubsajNcE87HyN4A+6fwP9pdf6dRTMTExR60JAMCJxufz6Xvf+55KS0v9+5KSkrRkyZJjntvXubnzvNxdTTP66a6vnt7c9tc1AQDQW9dee63q6+slSRMnTtTPf/5z02oHa64NpTm9N30BANAT1dXVAStcSdLGjRslSWlpafrggw/0+uuv6/rrr9e5556ryy67TPfff7927NihhQsXBpz3yiuvaOnSpd32w7zet74AAOitr3zlK1q/fr1uvfVWhYWFHbXt2LFjdeutt2rhwoVHDX5LAzenH09fzOkAgBMF99zH3xefA0Ib4W8AfdLU1BSwHRkZ2esanVfdbGxs7NOYAAAIdbfddpv+/e9/B+z761//qjFjxhzz3L7Ozd2tht3d3BzMzwDBuiYAAHrjiSee0IoVKyS1r6Lx6KOPHtd8eCTBmmtDaU7vTV8AAPTEkX4hGRYWpjfeeEP5+fndHo+Pj9c//vEPfe1rXwvY/7//+79dwuQS83pf+wIAoLf+8pe/KCcnRw8++GCXFbQ727Nnj2688UaNGzdOTz755FHbDtScfjx9MacDAE4U3HMff198DghthL8B9EnnJ35aWlp6XaO5ufmoNQEAOJEsWbJEv/vd7wL23X777brssst6dH5f5+bO83J3Nc3op7u+jvQZIFjXBABATx04cEC33nqrf/vqq68+YjjseAVrrg2lOb03fQEA0BNHmkeuvvpqzZo166jnWq1W/fnPfw5YIXTHjh364IMPjtkP83rv+gIAoKdaW1t18cUX64YbbtCBAwckSampqbrrrru0bt06VVZWqqWlRfv379frr7+ub33rW7JYLJKkiooKXXXVVbrtttuOWH+g5vTj6Ys5HQBwouCe+/j74nNAaCP8DaBP4uPjA7a7ewr5WDo/8dO5JgAAJ4pnnnlGt9xyS8C+xYsX6/777+9xjb7Ozd09idvd3BzMzwDBuiYAAHrqhz/8oaqqqiRJI0aM0G9+8xvT+wjWXBtKc3pv+gIAoCeONI9cc801PTo/Oztb8+bNC9jXXfibeb1vfQEA0FM33HCDXn75Zf/2zJkztXXrVt1zzz06/fTTlZycrIiICI0cOVLnnXeeXnnlFb366qsBIaUHH3xQf/vb37qtP1Bz+vH0xZwOADhRcM99/H3xOSC0Ef4G0Ced/8FuaGjo9rWWR1NfX3/UmgAAnAiWL1+uRYsWBcyjF110kR5//HH/yiM90Xke7TzPHkvn9uHh4d0+ndvXfro7p6c3t/11TQAA9MSLL76oZcuW+bcfeeQRJScnm95PX+c/wzCO68vd/ryvD9Y1AQDQUzExMQoLCwvYl5CQoGnTpvW4xplnnhmw/dFHH3Vpw7zeFfM6AMBs77//vp544gn/9rBhw7R8+XKNGDHiqOedf/75+uMf/xiw77bbbuvRoiL99b14d59R+vq9eH/N6b3pCwCA/sA9d1eD8ZpgPsLfAPrEZrMFBNJaW1t1+PDhXtXYt29fwPawYcNMGRsAAKFi5cqVuuSSS9TW1ubfN3/+fD377LNdvuA9ls7zaGlpaa/O7zwvp6en96ifzucdT19H+gwQrGsCAKAnvvz65wULFujSSy/tl376Ov8dOnQo4LOF1WqVzWbr0i6Y9/XBuiYAAHqj8/xkt9tltfb812cTJkwI2O5uHmVe74p5HQBgtiVLlgRs33LLLT3+Lnjx4sUaP368f7u8vFyvvPJKl3Z9nf8kaf/+/Uet+bnOY+/r9+L9NadLPb8mAAD6A/fcXQ3Ga4L5CH8D6JOYmBiNHTs2YN+ePXt6VaNz+4kTJ/Z5XAAAhIq1a9fq/PPPD3iF0pw5c7Rs2TJFRkb2ul7nXzr317ycnZ2t8PBw/3ZjY6PKysr6pa9gXRMAAD1RVVXl//sbb7whi8VyzD9nn312QI3du3d3afPxxx8HtDF7/svMzOz2zRfBvK8P1jUBANAbkyZNCthOTEzs1fmd21dWVnZpw7x+7H6Y1wEAfWEYht57772Afeedd16Pz7darVqwYEHAvlWrVnVp19f57/DhwwG/C4iMjFR2dna3bYP1vXgwrwkAgP7APfex+xkM1wTzEf4G0Ged/9Hetm1br87fvn37UesBADBUbd68Wd/85jdVV1fn3zdt2jS9+eabiouLO66awZqXIyIilJOTc9x9NTc3q7i4uEd98VkDAHAiCub8F6y+mNMBAIPRSSedFLDd3Nzcq/O/HHaSpNjY2C5tmNePvx8AAHqisrJS1dXVAfuysrJ6VaNz++7edtl5vioqKlJLS0uP++g8/+Xk5AQssnK0voI1p/fnNQEA0B+45z7+foLdF8xF+BtAn02dOjVge/Xq1T0+98CBA9q1a5d/OyIiosuX7QAADEU7duzQ/PnzA1YEmzRpkv7zn/8oKSnpuOt2npfXr18f8EqnYyksLDxqvaMd681ngA0bNgT8Qn3kyJFHfAVUMK8JAIDBYvLkyYqIiPBv79q1SwcOHOjx+cGa03tzXx/MawIAoKemT58esH3o0KFend/5dchpaWld2jCvd8W8DgAwU3cPb/U2gPzleU2SvF5vlzYjRozQiBEjAvrdsGFDj/sI1pze1tamdevW9aivYF4TAAD9gXvurgbjNcF8hL8B9Nm5554bsL1ixQoZhtGjc99+++2A7bPPPlvx8fGmjQ0AgMFo9+7dmjdvXsAviLOysvTOO+8oPT29T7UnTpwYsCJ3fX19j2/Q6uvr9eGHH/q3LRZLl3n+yzofe+edd3o8zs5tj/YKzmBeEwAAx/Laa6/pnXfe6dWfBx98MKDG8OHDu7Sx2+0BbRISEjR37tyAfT2daw3D0IoVKwL2HW2uDdZ9fTCvCQCAnlqwYIGs1i9+XVZSUqKKiooen985HNX51cwS83pnzOsAALN19/DV/v37e1Wj80rfR/qufsGCBQHb/fW9eOd+Vq9erfr6+h71U1hYqIaGBv/2+PHjNX78+B731V/XBABAf+CeO9BgvSaYj/A3gD6bM2eObDabf7u4uFjvv/9+j8594oknArYvuOACM4cGAMCgc+DAAX31q19VaWmpf19GRobeffddZWRkmNLH+eefH7Ddeb49kueff151dXX+7dNOO02jRo06YvtzzjknYPWU999/X8XFxcfsxzAMPfXUUwH7jvUZIFjXBADAsZx55pmaN29er/7MmDEjoEZ0dHSXNt19IXq889/KlStVUlLi3x4+fLhmzZp1xPbBvK8P1jUBANBTw4YNU25ubsC+V155pUfntrW1admyZQH7zjrrrG7bMq9/gXkdAGC2yMhIjRw5MmDfe++916sa7777bsD2lxck+bLO89/f/va3HgWkioqK9MEHH/i3IyIidM455xyx/ZgxYzRt2jT/dl1dnV544YVj9iP1fU7vr2sCAKC/cM/9hcF8TTAX4W8AfWa1WrV48eKAfffcc88xbwjfffddFRQU+LcTEhJ06aWX9scQAQAYFCoqKjR//nwVFRX596Wnp+udd95RVlaWaf384Ac/kMVi8W8/99xz2r59+1HPaWpq0v333x+w76qrrjrqOampqbrwwgv924Zh6O677z7m+J588smA1z9lZmZq3rx5Rz0nWNcEAMBgcvnllysuLs6/vWrVqmP+8towDN1zzz0B+6688sqAFU07C+Z9fbCuCQCA3rjuuusCtn/729+qubn5mOc99thjOnjwoH87MTFRX//617tty7zejnkdANBfvvrVrwZsP/zww2pra+vRuR988EHAGyS7q/e5r3/96xo9erR/e9euXfrb3/52zD7uvvvugPn429/+tpKSko56Tufvs++//341NTUd9Zzt27fr+eef929399mgs2BeEwAA/YF77naD/ZpgMgMATFBWVmbEx8cbkvx/7rvvviO2Ly0tNcaNGxfQ/s477wziiAEACK6amhrj9NNPD5j7kpOTjU2bNvVLf5dddllAX6effrpRXV3dbVufz2dcd911Ae2zs7ONlpaWY/azdetWw2q1Bpz7zDPPHLV9cnJyQPvHH398UF0TAABmW7lyZcCclJmZ2eNzf/rTnwacm5WVZezbt++I7e+9996A9klJSUZ5efkx+wnmfX2wrgkAgJ7yer3GKaecEjDfLFq0yPB6vUc8Z82aNV3mzjvuuOOo/TCvM68DAPrPW2+9FTDHSDKuueaao87nhmEYLpfLGDVqVMB5DofDaGtrO+I5f/7znwPap6SkGFu3bj1i+6effjqgfVhYmLFjx45jXlNzc7MxduzYgHOvv/56w+fzddu+urraOO200wLaf+973ztmP8G8JgAAvqwv3513xj13aFwTzEP4G4Bp/vd//7fLDfUNN9wQMOl4vV5j2bJlXW5SR40aZVRWVg7c4AEA6GdnnXVWl3nyV7/6lfHOO+/0+k9FRcUx+3O5XEZsbGxAf1OmTDFWrlwZ0G7Hjh3GRRdd1GVsL7zwQo+v7dprrw0412q1Gr/85S8DxtnS0mL87W9/M1JSUgLannrqqUZra2uP+gnmNQEAYKa+fIFdXl5ujBgxosv5r732WsAve/fu3dvlwSdJxm9+85se9xWs+/pgXhMAAD21YsUKw2KxBMw58+bNMz766KOAdlVVVcb//d//dfml6Pjx442ampqj9sG8zrwOAOhfZ599dpe5Ji8vz1ixYkWX76E9Ho/x4IMPGklJSV3OefHFF4/aT0tLizF58uSAc1JTU42///3vAf2Ul5cbd955Z5cFVG6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       "text/plain": [
        "<Figure size 3000x1500 with 3 Axes>"
       ]
@@ -1051,17 +1051,17 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:21.213893Z",
-     "iopub.status.busy": "2023-09-02T00:48:21.213730Z",
-     "iopub.status.idle": "2023-09-02T00:48:40.890890Z",
-     "shell.execute_reply": "2023-09-02T00:48:40.890553Z"
+     "iopub.execute_input": "2023-11-09T07:13:05.968078Z",
+     "iopub.status.busy": "2023-11-09T07:13:05.967962Z",
+     "iopub.status.idle": "2023-11-09T07:13:19.811749Z",
+     "shell.execute_reply": "2023-11-09T07:13:19.811473Z"
     },
     "tags": []
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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Xx5e//OV4++230/JiMgAAoP7LynQAAAAAgPqooKAg7r333jjkkENSxu+6666UnTJpGr761a/GtddemzL20EMP7fBrYf369fHII4+kjP3tb3/71JL5J+Xm5sbZZ58dr732WrRt23aXMwNkmrWUdBs4cGA8+uijkZeXVzW2efPmeOKJJ3Z4zSdfNHbxxRd/asm8Ovvvv3/cfffd8fWvf33XAgPUA9br3VNYWBhjx46NZDJZNda9e/d47rnndlgy/6QvfOEL8fTTT0ebNm2qxrZs2RJnn312yjtj7cj8+fPjm9/8ZsrYPvvsE88999wOS+af9NWvfjX+/e9/p6ydq1evjq997Ws1uh4AAGj8FM0BAAAAdiAnJyd+9KMfpYxt2bIlXnrppQwlIpMuueSSlLcb37RpUyxevLjacydPnly1+3lExLBhw+Lggw+u84wA9Y21lHTr16/fdrv3zpw5c4fnf3w384gP13uApsZ6veuuueaaWLZsWdVxdnZ2PPLIIzV+J4uPHHDAAXHvvfemjM2YMSN+//vf7/Tayy67LDZv3lx1XFBQEE888UR06NBhlzIcf/zx8etf/zpl7PHHH49//vOfu3QfAACgcVI0BwAAAPgUo0ePjuzs7JSxefPmZSgNmdS5c+ftfmG/Zs2aas/94IMPUo4HDx5cZ7kA6jtrKem21157pRzvaL0uKiqKTZs2pYxZs4Gmynpdc+vWrdvuHTG+8Y1vxPDhw3frfieddFKceuqpKWM333xzVFRU7PCa9957L5566qmUseuvvz569OixWxkuvfTS7fL/5je/2a17AQAAjYuiOQAAAMCnaNGixXbl4rVr12YoDZn28R3NIz78+qhOUVFRyvGnFQQAGjtrKem2u+t1hDUbaLqs1zU3bty42Lp1a9Vxbm7udjvC76rrr78+5XjJkiXxwAMP7PD8m2++OeW4c+fOcdlll+3287OysuK6665LGXvllVfi5Zdf3u17AgAAjYOiOQAAAMBOJJPJlONPlpdoGtauXZtStEgkEtGvX79qz23btm3K8fTp06OysrIu4wHUa9ZS0mnWrFkpx/3796/2vE+u1xGhUAc0adbrmvn3v/+dcvyFL3whOnbs+JnuOXTo0DjggANSxv71r3/t8PxPltDPOeecyM3N/UwZjj/++OjSpUvK2Cc/VwAAoOlRNAcAAAD4FFu2bInCwsKUsU/+4pWm4fbbb08pXowYMSJat25d7bl77713yvHSpUvj1ltvrdN8APWVtZR0WrRoUUycODFl7Jhjjqn23JYtW0bv3r1Txn70ox9FSUlJXcUDqLes1zWzefPmeOutt1LGvvzlL9fKvT95nxdffLHa82bPnr3dbvO1kSEnJydOPvnkGmUAAACaDkVzAAAAgE8xefLkqKioSBkbPnx4htKQKffdd992byP+ve99b4fnH3LIIdGuXbuUsW9961txySWXxIIFC+okI0B9ZS0lXRYuXBinnHJKSlH85JNPjsGDB+/wmhNPPDHl+OWXX46DDz44nnzySe9GAjQp1uuaeeWVV6K8vDxlrLb+PX3yPsuWLYvFixdvd94ny9/Z2dmx33771UmGGTNmxLZt22rl3gAAQMOUk+kAAAAA1D/lFZWxYqNfIqVDtzbNIye7/r0OfMaMGdv94rSmGtMvIMvLy+OGG25IGRsyZEjss88+GUrU8Ozu11Lnzp1j2LBhdZAo1Ysvvhjz5s3bbry8vDw2btwYs2bNikcffTRef/31lPnvfOc78cUvfnGH983Ly4srrrgifvjDH1aNJZPJGDduXIwbNy6GDx8eY8aMiYMPPjgOOuig6NmzZ+19UtQPFeURm5ZlOkXj13qPiOz6+WNua+mHrKUNw4oVK2LSpEm7de3o0aMjJ6du/ztcsGBBtfmSyWRs2bIlFi9eHFOnTo1HH300pWQ+ePDgGDdu3Kfe+4orroi//OUvUVpaWjX25ptvxgknnBBdunSJY489Ng499NAYMWJEDB06NHJzc2vvEyPjyivLY9WWVZmO0eh1adklcrKs1/WZ9brmZs+enXKcn58fAwcOrJV777///tuNvffee9GrV69PzTBw4MBo2bJlnWQoLS2NBQsWxF577VUr9wcAABqe+vk3egAAADJqxcZtMfIXz2U6RpMw9btjokf72vllYG268sorMx0h4zZv3hwXXnhhvPTSSynj119/fYYSNUy7+7V0yimnxEMPPVS7Yapxzjnn7NL5w4cPjx/84AfxpS99aafnfu9734v//Oc/8Z///Ge7uRkzZsSMGTOqjjt37hyHH354jB49Ok4++eTtigQ0QJuWRdxc9y+WaPIunxnRrn7+92IttZY2JM8880w888wzu3Xt+vXro23btrUb6BPuueeeuOeee2p8fqdOneKCCy6Ia665JgoKCj713D59+sQf//jHuOCCC7abW7VqVcqzmzdvHgcccECMHj06jj322Bg1alQkEold+2SoV1ZtWRWf//fnMx2j0Xvqy0/FHgV7ZDpGtazX1utdVVhYmHLcpUuXWlsLOnXqFFlZWSnvqPHJ51U31q1bt1p5fkRE165dd/o8AACgaVE0BwAAAJqk6nbFLC0tjbVr18b06dPj73//e6xbty5l/vLLL4+vfOUr6YpIPXPggQfGxRdfHCeccEKNzs/JyYnHHnssLrvssrjzzjs/9dzVq1fHAw88EA888EBcfvnlceSRR8a1114bo0aNqo3oAHXCWkp91K5du/ja174WF1544U5L5h/52te+Fq1atYqLLrooNm7cuMPztm3bFtOmTYtp06bFjTfeGL17947LLrss/vu//zvy8vJq61MAqFXW69r1ydJ1mzZtau3eiUQiWrduHRs2bKgaW79+fVozVHcvRXMAAGjaFM0BAACAJumYY46p8bnt2rWLG264IS699NI6TER999prr8Vrr70W1157bfzlL3+Jk046aafXtGjRIu6444645JJL4sYbb4wnnngiysrKPvWaZDIZzz77bDz77LNx7rnnxp///Odo0aJFbX0aALXGWkp9tH79+rjpppviV7/6VVx22WVx0003RbNmzXZ63WmnnRZHHXVU/PKXv4zx48fHqlWrdnrNokWL4sorr4w//elP8a9//Sv23Xff2vgUAGqV9bp2FRUVpRzn5+fX6v3z8/NTiubVvQCqLjNUd69PPg8AAGhasjIdAAAAAKh/nnvuuUgmk7v10atXr0zHr1UHHnhgzJ49O22/aD///PMjkUjU6GPMmDEp1/bp06fG106YMCEtn8/ufi099NBDacm3cOHCHWYoKiqK2bNnx4QJE+Lwww+vumblypVx8skn73SX8o8bMWJEPPTQQ7F8+fKYMGFCfPWrX42BAwfu9C3W77nnnjj66KOjpKRktz9HIDOspf/HWlr/nXfeebv99dq2bds6z3fdddft8Pnbtm2L5cuXx9NPPx0XX3xxVam8oqIibr755vjCF75Q43W0ffv28fOf/zyWLVsWEydOjO9///tx2GGH7fQFX/PmzYvDDjssXn755c/8uQLpZb3+P9brmmnVqlXKcXFxca3e/5P3a968eVozVHevTz4PAABoWuxoDgAAAPApXnvttRgzZkw8+eST0bNnz0zHafLee++9WL58eY3O3XvvvaNbt267/ayCgoIYNGhQDBo0KM4777z41a9+FVdddVVEfLjr+CWXXBIHHHBA7LfffjW+Z8eOHeO8886L8847LyIiNm3aFK+//npMmTIlnnzyyWoLatOmTYsrr7wyfv/73+/25wKQSdbSpmf9+vUxY8aMGp3brl27GD58+G4/q1mzZtGtW7fo1q1bHHvssfHf//3fcfTRR1ftSD5x4sS45ppr4le/+lWN75mdnR1HH310HH300RHxYWn9vffei5dffjmeffbZeOyxx7Yr4hUXF8dXvvKVePfdd6NNmza7/fkAZIr1umbat2+fclzdjuO7K5lMxqZNm1LGWrdundYM1d3rk88DAACaFkVzAAAAoElKJpMpx5WVlbFx48Z499134x//+EeMGzcuSktLI+LDcvPRRx8d06dPT8uunezYL37xi7jrrrtqdO748ePj/PPPr7VnX3nllfH666/HfffdFxER5eXl8b3vfS+efvrp3b5n69atY/To0TF69Oi49tprY9asWXH11VfHI488knLen/70p7jiiiuid+/en+VTAKhV1lJ25K233opjjjmmRuceccQRMXny5Fp79j777BN33313HHfccVVjv/vd7+Lyyy+PHj167NY9s7OzY+jQoTF06NC46KKLYvPmzXHrrbfG9ddfH1u3bq06b9myZXHrrbfGNddc85k/D4DaYr2uXZ8sXa9evTqSyeRO362qJtasWROVlZUpY126dNlphpUrV37mZ3/avRTNAQCgaVM0BwAAYDvd2jSPqd8ds/MT+cy6tdn+LZDJjKysrGjXrl0cfvjhcfjhh8e5554bxx13XGzYsCEiIubOnRsXX3xx/POf/6zTHN/97nfjnHPOqdG5b731Vlx55ZVVx/fee2+1v4Suzt57771b+Zq6yy+/vKpoHvHhLqnLli2LPfbYo1buP2TIkHj44Yfj6quvjptuuqlqvLy8PP7xj3/E9773vVp5DmnQeo+Iy2dmOkXj17p2/tujdlhLqS+OPfbYGDx4cMyePTsiPtyR/J577okf/OAHtXL/goKCuPrqq+Ooo46KMWPGpOxufu+99yqaNyBdWnaJp778VKZjNHpdWtbs+yrpYb3+bAYPHpxyvHnz5pg7d24MHDjwM9/7jTfe2G5sr7322m5s0KBBKcfvv/9+bNmyJVq2bFnrGfLy8qJv376f+b4AAEDDpWgOAADAdnKys6JH+8/+yyloyEaMGBH33ntvnHTSSVVj999/fzz++ONx4okn1tlz99prr2p/kVydnJzUH+0cdthhdryuY8OHD4+8vLyqHf+SyWRMmzYtTjvttFp9zs9+9rN48MEHY86cOVVjU6dOVTRvSLJ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X+gcPHjT++9//GldeeaXRpEkTt9dn3WfdBwD4z4wZM1zWofbt2xvz5883srOzTXWPHTtmTJo0yeXTTevUqWN6v7wg2dnZRqdOnUztatasaXz11VdGVlaWo15SUpLxzDPPuOyufv/993s8p+nTpxf494ddu3aZ6i1cuNDo3LmzqV5kZKSxb98+j/rx5ZwAAMjzzjvvFLojdkRExHm/J++M1+rlY04oHQTNARQoMTHRiIyMNP2jPXny5ELrJyQkGM2aNTPVf+6553w4YgAAypYePXoYzZo1Mz777DMjLS3Nbf2cnBzjzjvvdHlx5RyqLsw//vEPU7tevXoZp06dKrCu3W536atFixYub5IXJCYmxggICDC1/fbbbwutv3XrVqN69eqm+lOnTi1TcwIAoLQsXrzYsFgshpR7Y9brr79+3m9qP/XUU6a20dHRpjdgnb388sum+tWqVXP7R27D8O37Ab6aEwAA3rR7924jNDTUsR4FBQUV+brYmSdrF+s+6z4AwH86duxoWoN69uxppKSkFNlm0aJFRmBgoKndK6+8UmSbjz/+2FS/Ro0axrZt2wqt/80335jqBwYGugTFC5KZmemyft99992m8Fh+ycnJRs+ePU31b7rpJrf9+HJOAADklxc0j4yMNIYMGWJMnDjRmDFjhhEXF2csXrzYa0FzXquXjzmhdBA0B1Cgxx9/3PSP9aBBgwp9sZln4cKFpjaRkZFGYmKij0YMAEDZMm/ePCMzM7NYbXJyclzewB0/frzbdlu3bjXt/BEcHGxs3769yDbp6elGq1atTH198sknbvu65pprTG1uvPFGt22cd3qLiooy7V7i7zkBAFAa0tLSjBYtWjjWpAcffPC839Q+duyYy84rCxcuLLKN3W43Bg0aZGrz9NNPu+3LV+8H+HJOAAB404UXXmhai77//nuvXp91v2RzAgCgJPbs2WNaeyQZa9eu9ait8y6fffv2LbRuZmam0aRJE1P9zz//3G0fN9xwQ7H/fvDhhx+a2rRq1cpIT08vss22bdtMu7QHBAQYMTExRbbx5ZwAAMgvNjbW2LZtm2Gz2VzOeStozmv18jEnlB6rAMCJ3W7XF198YTr2wgsvyGKxFNlu2LBhGjhwoKN85swZff/996UyRgAAyrqRI0cqODi4WG0CAgL0+OOPm4799ttvbttNnTpVdrvdUb7uuuvUrl27ItuEhobqySefNB377LPPimxz8uRJzZo1y1G2WCx64YUX3I7vlltuUVRUlKO8f/9+LVy4sMg2vpoTAACl5Z///Kf27NkjSWratKleeuml877WtGnTlJKS4igPGjRIw4YNK7KNxWLR888/bzo2depUGYZRaBtfvh/gqzkBAOBNc+fO1eLFix3lq6++WldffbVX+2Ddz8W6DwDwh507d5rKjRs3Vq9evTxqe+WVV5rKsbGxhdb97bffdODAAUe5WbNmuuWWW9z24bxWz5gxQ6dOnSqyjfN75E899ZRCQ0OLbNO+fXtde+21jrLNZnN53uDMl3MCACC/Fi1aqH379rJaSy8Ky2v1XGV9Tig9BM0BuFi1apWOHz/uKDdv3lxDhgzxqO1tt91mKs+ZM8eLIwMAoOLL/2JJkpKSkpSWllZkmx9//NFUdl6PC3PttdcqPDzcUV63bp0OHTpUaP358+crJyfHUR4yZIiaN2/uth+r1eryhrK75wi+mhMAAKVh3bp1evfddx3lf//734qIiDjv682dO9dU9nRdvPDCCxUdHe0oHzlyRH/++Weh9X35foCv5gQAgDd98sknprLzH1e9gXX/HNZ9AICvnThxwlRu0qSJx22bNm1qKicnJxda13ltvOWWW9yGraTcIN3gwYMd5ezsbP3888+F1k9ISNBff/3lKEdEROiaa65x24/kul47j9mZr+YEAIA/8Fr9nLI8J5QeguYAXMyfP99UHjFihEcvAvPq5rdkyRKlpqZ6bWwAAFR0NWrUcDlW1O4dO3fuNO2MEh4ern79+nnUl3NdwzBcngfk53zuoosu8qgfyfU5wrx58wqt68s5AQDgbdnZ2brttttks9kk5e50evnll5/39VJSUrRs2TLTMU/XYIvFouHDh5uOFbUG++r9AF/OCQAAbzl48KDpU8e6du2qDh06eLUP1n0z1n0AgK9Vq1bNVE5PT/e4rXPd2rVrF1rXV++1O/fTv39/00YtRenfv7+qVKniKO/cuVO7d+/2uK/SmhMAAL7Ga3WzsjonlC6C5gBcbNq0yVT2NNglSQ0bNlSzZs0c5aysLG3fvt1LIwMAoOI7ePCgy7FatWoVWt953e7du7cCAwM97q9///5FXq+oc8V5jtCjRw+FhIQ4yocOHTLduVxUP6U5JwAAvG3y5MnasmWLJKl69eqaMmVKia63bds2ZWdnO8rR0dGqX7++x+19tdYX5/0AX84JAABv+fXXXx03kkm5O3h5G+u+K9Z9AIAvde3a1VSOiYnxOMy0du1aU7l3794F1jt69KiOHDniKIeEhKh79+4ej9FX631gYKDLHArry5dzAgDA13it7qoszgmli6A5ABcxMTGmcvv27YvV3rm+8/UAAEDhli9fbipHRUUpODi40Pq+Wrezs7NNu4wXt6+QkBC1aNHCo754LgIAKK+2b9+ul19+2VF+7bXXivXmbEF8uS76qi/WegBAebRu3TpTuUuXLo7HGzdu1AMPPKAuXbqoRo0aqlKlipo1a6YRI0bozTffLPCm8oKw7p9/PwAAeEPjxo1N4afMzEyPbiDPzMzUu+++azp22223FVjXeS1r2bJlkX8DcOa8NsbGxionJ8ejvny13pfmnAAA8DVeq59/P77uC6WHoDkAk/T0dMXHx5uONWnSpFjXcK6/c+fOEo8LAIDKYurUqabyZZddVmR953W2tNbtvXv3mt7YDQsLK/KjP0vSl6/mBACAN9ntdt12223KysqSJA0cOFB33HFHia/r7XVx//79ysjIcKnny/cDfDUnAAC8yTlo3rx5c6WkpOi2225T9+7d9f7772vz5s1KTk5Wenq69u/fr4ULF2rixIlq1aqVnn76adNuYQVh3XffD+s+AKC0vfbaa7Jaz0VpnnvuOX311VeF1k9OTtZVV11lCj2NGjVKo0aNKrB+SdfGOnXqKDQ01FHOysrSvn37SqUvX633xZkTAAC+xmt19/2UhTmhdBE0B2CSmJgowzAc5aCgINWtW7dY12jUqJGpfOzYMa+MDQCAiu7nn3/WsmXLTMduvvnmIts4r7ONGzcuVp/O6/bx48c96se53fn0VdhzBF/NCQAAb5oyZYr+/PNPSVJwcLA++eQTWSyWEl+3pOtivXr1FBgY6Cjb7XYlJSW51PPl+wG+mhMAAN7k/ClfVqtVgwYNcrlhvCDp6emaPHmyLrvsMp05c6bQeqz7rlj3AQC+NmDAAH3wwQeO1/Q5OTm6+eab1bt3b7366quaPXu2fv31V/3vf//T/fffrxYtWmjevHmO9iNGjNB3331X6PVLujZKUsOGDYu8Zh7n98ZL+l57aa33kudzAgDA13it7qoszgmlK9B9FQCVSUpKiqlcpUqVYv9hPDw8vMhrAgAAVydOnNBdd91lOjZmzBj17t27yHbO66zzOuyOc/3s7GxlZmYqJCTEq/0U1Kaw5wi+mhMAAN6yb98+Pfvss47yU089pbZt23rl2iVdFy0Wi8LCwkyhtoLWYF++H+CrOQEA4C12u90lIP7AAw9o48aNknLXpssvv1yXXXaZGjdurNTUVG3cuFH//e9/dejQIUebhQsX6uabb9YPP/xQYD+s+65Y9wEA/nDPPfeoTZs2euCBB7Rt2zZJuZ9u4vwJJ/k1b95cjz/+uO644w7TjujOfPVee3p6umw2W4n68tV6X5y+AADwNV6ruyqLc0LpYkdzACbO/xjn/4gqT4WFhRV5TQAAYGa323XDDTcoISHBcaxatWqaMmWK27YlXbud1+2CrumNfgrqy9MXtqU1JwAAvOXOO+9UamqqJKlt27Z6+umnvXZtX63B5WmtL05fAAB4w6lTp0w7cEnSX3/9JUmqVauWli5dqh9//FF33323Lr/8cl177bV69dVXtXPnTo0fP97UbtasWfr6668L7Id1v2R9AQDgTUOHDtW6dev02GOPKSAgoMi6TZs21WOPPabx48cXGTKX/Lfen09frPcAAPBavSR98Ryh4iBoDsAkIyPDVA4ODi72NZx3C01PTy/RmAAAqOgmTpyoX375xXTs448/VpMmTdy2LenaXdAu3wWt3b58juCrOQEA4A2ff/65Fi5cKCl3F49PPvnkvNbJwvhqDS5Pa31x+gIAwBsK+yNmQECA5s+fr4EDBxZ4PiIiQv/973910UUXmY6/8sorLsF1iXW/pH0BAOBNH330kVq0aKE333zTZWdwZ/Hx8br33nvVrFkzTZ06tci6/lrvz6cv1nsAAHitXpK+eI5QcRA0B2DifOdQVlZWsa+RmZlZ5DUBAMA5U6ZM0dtvv2069vjjj+vaa6/1qH1J127ndbuga3qjn4L6Kuw5gq/mBABASR0+fFiPPfaYo3z77bcXGjQ7X75ag8vTWl+cvgAA8IbC1pnbb79dffr0KbKt1WrVf/7zH9Pupjt37tTSpUvd9sO6X7y+AADwhuzsbF111VW65557dPjwYUlSzZo19dxzz2nt2rU6efKksrKydOjQIf34448aO3asLBaLJOnEiRO67bbbNHHixEKv76/1/nz6Yr0HAIDX6iXpi+cIFQdBcwAmERERpnJBdzq743znkPM1AQBArm+//VYPPfSQ6djNN9+sV1991eNrlHTtLuiO34LWbl8+R/DVnAAAKKn77rtPycnJkqT69evr9ddf93ofvlqDy9NaX5y+AADwhsLWmTvuuMOj9s2bN9fw4cNNxwoKmrPul6wvAAC84Z577tEPP/zgKPfu3Vvbtm3TpEmT1KtXL1WvXl1BQUFq0KCBRo0apVmzZmnOnDmm0NObb76pL774osDr+2u9P5++WO8BAOC1ekn64jlCxUHQHICJ8z/GaWlpBX6EZ1FSU1OLvCYAAJDmzZunCRMmmNbZcePG6bPPPnPsfuIJ53XWeR12x7l+YGBggXcBl7Sfgtp4+sK2tOYEAEBJzJgxQ7Nnz3aU33vvPVWvXt3r/ZR0XTQM47ze8C3N9wN8NScAALwlLCxMAQEBpmORkZHq1q2bx9cYPHiwqbx+/XqXOqz7rlj3AQC+tGTJEn3++eeOct26dTVv3jzVr1+/yHZXXHGF/v3vf5uOTZw40aNNUUrrvfaCnr+U9L320lrvi9MXAAC+xmt1V2VxTihdBM0BmNSuXdsUbsvOztaxY8eKdY2DBw+aynXr1vXK2AAAqCgWL16sq6++Wjk5OY5jI0aM0Hfffefyxq87zutsQkJCsdo7r9t16tTxqB/ndufTV2HPEXw1JwAASiL/x2CPHDlS11xzTan0U9J18ejRo6bnHFarVbVr13ap58v3A3w1JwAAvMl5/WrZsqWsVs//zNamTRtTuaB1lnXfFes+AMCXpkyZYio/9NBDHr+/fPPNN6t169aOclJSkmbNmuVSr6RroyQdOnSoyGvmcR57Sd9rL631XvJ8TgAA+Bqv1V2VxTmhdBE0B2ASFhampk2bmo7Fx8cX6xrO9du2bVvicQEAUFGsWbNGV1xxheljofr166fZs2crODi42Ndz/kN1aa3bzZs3V2BgoKOcnp6u48ePl0pfvpoTAAAlkZyc7Hg8f/58WSwWt18XXnih6Rr79+93qbNp0yZTHW+vi1FRUQV+0ocv3w/w1ZwAAPCmdu3amcpVq1YtVnvn+idPnnSpw7rvvh/WfQBAaTEMQ3/88Yfp2KhRozxub7VaNXLkSNOxZcuWudQr6dp47Ngx098XgoOD1bx58wLr+uq9dl/OCQAAX+O1uvt+ysKcULoImgNw4fwP8vbt24vVPiYmpsjrAQBQWW3evFmXXnqpUlJSHMe6deumn3/+WeHh4ed1TV+t20FBQWrRosV595WZmam9e/d61BfPRQAAOMeX66Kv+mKtBwCUR+3btzeVMzMzi9U+f3hKkqpUqeJSh3X//PsBAKCkTp48qVOnTpmORUdHF+sazvUL+mRQ57Vsz549ysrK8rgP57WxRYsWpk1iiurLV+t9ac4JAABf47X6+ffj675QegiaA3DRtWtXU3nVqlUetz18+LDi4uIc5aCgIJc34AEAqIx27typESNGmHYsa9eunX777TdVq1btvK/rvG6vW7fO9DFV7qxcubLI6xV1rjjPETZs2GD6I3yDBg0K/VgrX84JAICyrkOHDgoKCnKU4+LidPjwYY/b+2qtL877Ab6cEwAA3tK9e3dT+ejRo8Vq7/zR0LVq1XKpw7rvinUfAOArBd1EVtywc/41T5JsNptLnfr166t+/fqmfjds2OBxH75a73NycrR27VqP+vLlnAAA8DVeq7sqi3NC6SJoDsDF5ZdfbiovXLhQhmF41Pb33383lS+88EJFRER4bWwAAJRH+/fv1/Dhw01/VI6OjtaCBQtUp06dEl27bdu2pp3GU1NTPX5xlpqaqtWrVzvKFovF5XlAfs7nFixY4PE4nesW9ZGjvpwTAADna+7cuVqwYEGxvt58803TNerVq+dSp2XLlqY6kZGRGjRokOmYp2uwYRhauHCh6VhRa7Cv3g/w5ZwAAPCWkSNHymo992e1ffv26cSJEx63dw5bOX9MtcS674x1HwDgSwXdBHbo0KFiXcN5B/PC3v8fOXKkqVxa77U797Nq1SqlpqZ61M/KlSuVlpbmKLdu3VqtW7f2uK/SmhMAAL7Ga3WzsjonlC6C5gBc9OvXT7Vr13aU9+7dqyVLlnjU9vPPPzeVR48e7c2hAQBQ7hw+fFjDhg1TQkKC41ijRo20aNEiNWrUyCt9XHHFFaay83pcmOnTpyslJcVR7tmzpxo2bFho/csuu8y0g8uSJUu0d+9et/0YhqEvv/zSdMzdcwRfzQkAgPM1ePBgDR8+vFhfPXr0MF0jNDTUpU5Bb5Ke77q4ePFi7du3z1GuV6+e+vTpU2h9X74f4Ks5AQDgLXXr1lX//v1Nx2bNmuVR25ycHM2ePdt0bMiQIQXWZd0/h3UfAOBLwcHBatCggenYH3/8UaxrLFq0yFTOv6FKfs5r4xdffOFR4GrPnj1aunSpoxwUFKTLLrus0PpNmjRRt27dHOWUlBR9//33bvuRSr7el9acAADwB16rn1OW54TSQ9AcgAur1aqbb77ZdGzSpEluXwguWrRIy5cvd5QjIyN1zTXXlMYQAQAoF06cOKERI0Zoz549jmN16tTRggULFB0d7bV+br31VlksFkd52rRpiomJKbJNRkaGXn31VdOx2267rcg2NWvW1JgxYxxlwzD0wgsvuB3f1KlTTR9pFRUVpeHDhxfZxldzAgCgPLjuuusUHh7uKC9btsztH7sNw9CkSZNMx2655RbTTqzOfPl+gK/mBACAN911112m8htvvKHMzEy37T799FMdOXLEUa5ataouvvjiAuuy7udi3QcA+MOwYcNM5XfffVc5OTketV26dKnp0zYLul6eiy++WI0bN3aU4+Li9MUXX7jt44UXXjCt1VdeeaWqVatWZBvn98hfffVVZWRkFNkmJiZG06dPd5QLet7gzJdzAgDA13itnquszwmlyACAAhw/ftyIiIgwJDm+Jk+eXGj9hIQEo1mzZqb6zz77rA9HDABA2XL69GmjV69eprWxevXqxsaNG0ulv2uvvdbUV69evYxTp04VWNdutxt33XWXqX7z5s2NrKwst/1s27bNsFqtprbffvttkfWrV69uqv/ZZ5+VqTkBAOArixcvNq1VUVFRHrd94oknTG2jo6ONgwcPFlr/5ZdfNtWvVq2akZSU5LYfX74f4Ks5AQDgLTabzejUqZNpPZowYYJhs9kKbfPnn3+6rK1PPvlkkf2w7rPuAwD849dffzWtP5KMO+64o8i13jAMY/fu3UbDhg1N7Vq1amXk5OQU2uY///mPqX6NGjWMbdu2FVr/m2++MdUPCAgwdu7c6XZOmZmZRtOmTU1t7777bsNutxdY/9SpU0bPnj1N9W+44Qa3/fhyTgAAeKok78k747V6+ZgTSgdBcwCFeuWVV1xeSN9zzz2mBcVmsxmzZ892eXHasGFD4+TJk/4bPAAAfjZkyBCXdfTFF180FixYUOyvEydOuO1v9+7dRpUqVUz9denSxVi8eLGp3s6dO41x48a5jO3777/3eG533nmnqa3VajX++c9/msaZlZVlfPHFF0aNGjVMdTt37mxkZ2d71I8v5wQAgC+U5E3tpKQko379+i7t586da/rj8IEDB1xuvpJkvP766x735av3A3w5JwAAvGXhwoWGxWIxrUnDhw831q9fb6qXnJxsvPXWWy5/SG3durVx+vTpIvtg3WfdBwD4z4UXXuiyDg0YMMBYuHChy3vbiYmJxptvvmlUq1bNpc2MGTOK7CcrK8vo0KGDqU3NmjWNr776ytRPUlKS8eyzz7psAHPvvfd6PKdvv/3WZXxXXXWVsWvXLlO9RYsWGZ07dzbVi4iIMPbu3etRP76cEwAA+a1YsaLAv7O/+eabprWmXr16hf5NvqibowyD1+rlZU4oHRbDcLMHPYBKy263a/To0Zo3b57peEBAgKKiolStWjXt27dPycnJpvNhYWFasGCB+vfv78PRAgBQtlgsFq9da/HixRoyZIjbetOmTdP48eNdPmaqTp06atq0qY4dO6aEhASX8/fff7+mTJni8XjS0tI0ePBgrV+/3nQ8ODhY0dHRCgkJ0d69e5WSkmI6X7t2ba1cuVKtW7f2uC9fzQkAAF9YsmSJLrzwQkc5KipKcXFxHrdftmyZLr74YpePuK5evbqio6OVnJys+Ph42Ww20/nRo0dr9uzZHj8/8eX7Ab6aEwAA3vTaa6/pySefdDlev359NW7cWKmpqdqzZ4+ysrJM52vVqqXFixerU6dObvtg3T//OQEAUBJHjhxRv379tG/fPpdzERERio6OVlhYmJKSkrR3716X96Yl6dFHH9Wbb77ptq+YmBgNGDBAJ06ccOmnRYsWSk9P1759+5SdnW0637t3by1ZskRhYWEez+vee+/Vf/7zH9Mxi8WiJk2aqE6dOtq/f78SExNN561Wq6ZPn66rrrrK4358OScAAPI0a9ZM+/fvL9E1JkyYoC+//LLIOrxWLx9zQinwY8gdQDmQnp5uXHfddS53FBX2VatWLZddRgEAqIw8XTs9+SrO2vrtt98aYWFhHl/7scceK/QjMouSlJRkDB061ON+mjVrZmzevLnY/fhyTgAAlDZvfEznokWLjJo1a3q8Lo4fP97IyMgodj++fD/AV3MCAMCbpkyZYgQFBXm8frVp08Zl11B3WPdZ9wEA/hEfH1/gp5a6+woKCjJeffXVYr0/vWnTJiMqKsrjPoYPH35eO3rabDbj4Ycf9rifKlWqGNOnTy92P76cEwAAeYqz7hT2NWHCBI/64rV6+ZgTvMsqAChCaGiovvvuO82cOVNdu3YttF54eLjuvfdebd++3aMdVwEAQOn4xz/+oa1bt2r8+PEKCgoqtN6gQYO0ZMkSvfHGG+e1I1jNmjW1YMECffLJJ2rZsmWR9Z5++mlt2bLFox3bCuKrOQEAUB4MHTpU27dv1z333KMqVaoUWq9bt2764Ycf9M033ygkJKTY/fjy/QBfzQkAAG+6//77tXnzZl177bVFvlaNjo7We++9p82bN6tVq1bF6oN1n3UfAOAfTZo00aJFi/T9999ryJAhslqLjtZUq1ZN99xzj7Zs2aInnniiWO9Pd+nSRVu2bNFTTz2lGjVqFFqvVatW+vTTT/X777+revXqHl8/j9Vq1dtvv60//vhDAwcOLLRecHCwrr/+em3dulXXXHNNsfuRfDcnAAD8gdfq5WNO8C6LYRTwOT4AUIjY2FitWbNGBw8eVFZ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\n",
       "text/plain": [
        "<Figure size 3000x1500 with 3 Axes>"
       ]
@@ -1125,7 +1125,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/pipelines.ipynb b/docs/recipes/pipelines.ipynb
index 9a7a431866..e5b9533737 100644
--- a/docs/recipes/pipelines.ipynb
+++ b/docs/recipes/pipelines.ipynb
@@ -21,10 +21,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.421626Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.420909Z",
-     "iopub.status.idle": "2023-09-02T00:48:42.759593Z",
-     "shell.execute_reply": "2023-09-02T00:48:42.759147Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.052106Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.051775Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.381473Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.381222Z"
     },
     "tags": []
    },
@@ -54,10 +54,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.761738Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.761619Z",
-     "iopub.status.idle": "2023-09-02T00:48:42.775627Z",
-     "shell.execute_reply": "2023-09-02T00:48:42.775366Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.383218Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.383116Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.391122Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.390898Z"
     },
     "tags": []
    },
@@ -82,10 +82,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.777613Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.777493Z",
-     "iopub.status.idle": "2023-09-02T00:48:42.790303Z",
-     "shell.execute_reply": "2023-09-02T00:48:42.790024Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.392637Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.392566Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.399859Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.399636Z"
     },
     "tags": []
    },
@@ -108,10 +108,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.792053Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.791972Z",
-     "iopub.status.idle": "2023-09-02T00:48:42.809051Z",
-     "shell.execute_reply": "2023-09-02T00:48:42.808598Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.401312Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.401230Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.414775Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.414515Z"
     },
     "tags": []
    },
@@ -297,10 +297,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.810930Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.810799Z",
-     "iopub.status.idle": "2023-09-02T00:48:42.967393Z",
-     "shell.execute_reply": "2023-09-02T00:48:42.967087Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.416182Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.416092Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.548154Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.547921Z"
     },
     "tags": []
    },
@@ -342,10 +342,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.969138Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.968997Z",
-     "iopub.status.idle": "2023-09-02T00:48:42.986924Z",
-     "shell.execute_reply": "2023-09-02T00:48:42.986634Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.549730Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.549592Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.559482Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.559259Z"
     },
     "tags": []
    },
@@ -377,10 +377,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:42.988739Z",
-     "iopub.status.busy": "2023-09-02T00:48:42.988622Z",
-     "iopub.status.idle": "2023-09-02T00:48:43.006141Z",
-     "shell.execute_reply": "2023-09-02T00:48:43.005784Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.560881Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.560805Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.569542Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.569327Z"
     },
     "tags": []
    },
@@ -420,10 +420,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:43.007822Z",
-     "iopub.status.busy": "2023-09-02T00:48:43.007708Z",
-     "iopub.status.idle": "2023-09-02T00:48:43.025846Z",
-     "shell.execute_reply": "2023-09-02T00:48:43.025585Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.570977Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.570908Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.579655Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.579439Z"
     },
     "tags": []
    },
@@ -481,10 +481,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:43.027465Z",
-     "iopub.status.busy": "2023-09-02T00:48:43.027354Z",
-     "iopub.status.idle": "2023-09-02T00:48:43.044487Z",
-     "shell.execute_reply": "2023-09-02T00:48:43.044207Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.581059Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.580992Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.590688Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.590482Z"
     },
     "tags": []
    },
@@ -686,10 +686,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:43.046037Z",
-     "iopub.status.busy": "2023-09-02T00:48:43.045956Z",
-     "iopub.status.idle": "2023-09-02T00:48:43.062148Z",
-     "shell.execute_reply": "2023-09-02T00:48:43.061800Z"
+     "iopub.execute_input": "2023-11-09T07:13:21.592485Z",
+     "iopub.status.busy": "2023-11-09T07:13:21.592401Z",
+     "iopub.status.idle": "2023-11-09T07:13:21.601115Z",
+     "shell.execute_reply": "2023-11-09T07:13:21.600876Z"
     },
     "tags": []
    },
@@ -729,7 +729,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/reading-data.ipynb b/docs/recipes/reading-data.ipynb
index 9b49a16165..ffe9fabd12 100644
--- a/docs/recipes/reading-data.ipynb
+++ b/docs/recipes/reading-data.ipynb
@@ -25,10 +25,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:44.738314Z",
-     "iopub.status.busy": "2023-09-02T00:48:44.737893Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.178807Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.178378Z"
+     "iopub.execute_input": "2023-11-09T07:13:22.614405Z",
+     "iopub.status.busy": "2023-11-09T07:13:22.614052Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.018338Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.018013Z"
     },
     "tags": []
    },
@@ -83,10 +83,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.181005Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.180761Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.199685Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.199400Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.020193Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.020070Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.029968Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.029739Z"
     },
     "tags": []
    },
@@ -126,10 +126,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.201882Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.201730Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.221025Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.220688Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.031463Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.031373Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.039934Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.039687Z"
     },
     "tags": []
    },
@@ -172,10 +172,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.223054Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.222932Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.240375Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.240063Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.041472Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.041400Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.050253Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.050041Z"
     },
     "tags": []
    },
@@ -220,10 +220,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.242310Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.242169Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.260871Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.260499Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.051634Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.051564Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.060533Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.060305Z"
     },
     "tags": []
    },
@@ -279,10 +279,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.262878Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.262737Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.302619Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.302347Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.062000Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.061924Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.150089Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.149850Z"
     },
     "tags": []
    },
@@ -290,16 +290,16 @@
     {
      "data": {
       "text/plain": [
-       "({'age': 0.0380759064334241,\n",
-       "  'sex': 0.0506801187398187,\n",
-       "  'bmi': 0.0616962065186885,\n",
-       "  'bp': 0.0218723549949558,\n",
-       "  's1': -0.0442234984244464,\n",
-       "  's2': -0.0348207628376986,\n",
-       "  's3': -0.0434008456520269,\n",
-       "  's4': -0.00259226199818282,\n",
-       "  's5': 0.0199084208763183,\n",
-       "  's6': -0.0176461251598052},\n",
+       "({'age': 0.038075906433423026,\n",
+       "  'sex': 0.05068011873981862,\n",
+       "  'bmi': 0.061696206518683294,\n",
+       "  'bp': 0.0218723855140367,\n",
+       "  's1': -0.04422349842444599,\n",
+       "  's2': -0.03482076283769895,\n",
+       "  's3': -0.04340084565202491,\n",
+       "  's4': -0.002592261998183278,\n",
+       "  's5': 0.019907486170462722,\n",
+       "  's6': -0.01764612515980379},\n",
        " 151.0)"
       ]
      },
@@ -333,10 +333,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.304284Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.304171Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.367887Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.367585Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.151543Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.151448Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.208472Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.208213Z"
     },
     "tags": []
    },
@@ -365,10 +365,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:45.369776Z",
-     "iopub.status.busy": "2023-09-02T00:48:45.369621Z",
-     "iopub.status.idle": "2023-09-02T00:48:45.387961Z",
-     "shell.execute_reply": "2023-09-02T00:48:45.387690Z"
+     "iopub.execute_input": "2023-11-09T07:13:23.210222Z",
+     "iopub.status.busy": "2023-11-09T07:13:23.210088Z",
+     "iopub.status.idle": "2023-11-09T07:13:23.220180Z",
+     "shell.execute_reply": "2023-11-09T07:13:23.219956Z"
     },
     "tags": []
    },
@@ -409,7 +409,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/recipes/rolling-computations.ipynb b/docs/recipes/rolling-computations.ipynb
index 2f8f9c6f81..a0c30b926a 100644
--- a/docs/recipes/rolling-computations.ipynb
+++ b/docs/recipes/rolling-computations.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-09-02T00:48:46.868460Z",
-     "iopub.status.busy": "2023-09-02T00:48:46.867919Z",
-     "iopub.status.idle": "2023-09-02T00:48:47.400738Z",
-     "shell.execute_reply": "2023-09-02T00:48:47.400269Z"
+     "iopub.execute_input": "2023-11-09T07:13:24.199721Z",
+     "iopub.status.busy": "2023-11-09T07:13:24.199487Z",
+     "iopub.status.idle": "2023-11-09T07:13:24.675669Z",
+     "shell.execute_reply": "2023-11-09T07:13:24.675399Z"
     }
    },
    "outputs": [
@@ -86,6 +86,7 @@
       "proba.MultivariateGaussian\n",
       "stats.BayesianMean\n",
       "stats.Cov\n",
+      "stats.KolmogorovSmirnov\n",
       "stats.Mean\n",
       "stats.PearsonCorr\n",
       "stats.SEM\n",
@@ -126,7 +127,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/releases/unreleased.md b/docs/releases/0.20.0.md
similarity index 99%
rename from docs/releases/unreleased.md
rename to docs/releases/0.20.0.md
index 29275fe295..48406246ea 100644
--- a/docs/releases/unreleased.md
+++ b/docs/releases/0.20.0.md
@@ -1,4 +1,4 @@
-# Unreleased
+# 0.20.0 - 2023-11-09
 
 River's mini-batch methods now support pandas v2. In particular, River conforms to pandas' new sparse API.
 
diff --git a/pyproject.toml b/pyproject.toml
index 2fa6af1128..4c4f669477 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "river"
-version = "0.19.0"
+version = "0.20.0"
 description = "Online machine learning in Python"
 authors = ["Max Halford <maxhalford25@gmail.com>"]
 
diff --git a/river/__version__.py b/river/__version__.py
index 148d5ca59a..353196af4f 100644
--- a/river/__version__.py
+++ b/river/__version__.py
@@ -1,3 +1,3 @@
 from __future__ import annotations
 
-__version__ = "0.19.0"
+__version__ = "0.20.0"