diff --git a/notebooks/SARRA-Py_grid - Exemple 6 Cameroon-Millet.ipynb b/notebooks/SARRA-Py_grid - Exemple 6 Cameroon-Millet.ipynb
index 78226d9..b7f36b5 100644
--- a/notebooks/SARRA-Py_grid - Exemple 6 Cameroon-Millet.ipynb	
+++ b/notebooks/SARRA-Py_grid - Exemple 6 Cameroon-Millet.ipynb	
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -114,20 +114,18 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "First, we define the path towards rainfall and climate datasets. As indicated by their names, the daily rainfall dataset is provided by TAMSAT, and the daily climate dataset is provided by ERA5. These datasets consist of series of geotiff files, one per day. The spatial extent of the rainfall dataset defines the spatial extent of the simulation."
+    "First, we define the path towards rainfall and climate datasets. As indicated by their names, the daily rainfall dataset is provided by CHIRPS, and the daily climate dataset is provided by AgERA5. These datasets consist of series of geotiff files, one per day. The spatial extent of the rainfall dataset defines the spatial extent of the simulation.\n",
+    "\n",
+    "Climate data example for Cameroon can be downloaded from the Zenodo repository at https://zenodo.org/doi/10.5281/zenodo.11092879"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# we provide the path to the example data\n",
-    "# rainfall_data_path = \"../data/exemple_data/TAMSAT_v3.1_niger_rfe_filled/\"\n",
-    "# climate_data_path = \"../data/exemple_data/AgERA5_niger/\"\n",
-    "\n",
-    "# alternatively, tap into the climate data that we already have retrieved for Niger, 1983-2022\n",
+    "# we tap into the climate data that we already have retrieved for Cameroon, 2020-2022\n",
     "rainfall_data_path = \"/mnt/d/Mes Donnees/SARRA_data-download/data/3_output/CHIRPS_v2.0_Africa_north_cameroon\"\n",
     "climate_data_path = \"/mnt/d/Mes Donnees/SARRA_data-download/data/3_output/AgERA5_north_cameroon/\""
    ]
@@ -142,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -168,7 +166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -190,7 +188,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 40%|████      | 2/5 [00:15<00:22,  7.63s/it]"
+      " 40%|████      | 2/5 [00:16<00:24,  8.06s/it]"
      ]
     },
     {
@@ -205,7 +203,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 80%|████████  | 4/5 [00:30<00:07,  7.74s/it]"
+      " 80%|████████  | 4/5 [00:31<00:07,  7.96s/it]"
      ]
     },
     {
@@ -219,7 +217,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 5/5 [00:45<00:00,  9.19s/it]\n"
+      "100%|██████████| 5/5 [00:47<00:00,  9.58s/it]\n"
      ]
     }
    ],
@@ -248,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -615,9 +613,9 @@
        "Dimensions without coordinates: time\n",
        "Data variables: (12/13)\n",
        "    rain              (time, y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
-       "    tpMoy             (time, y, x) float32 nan nan nan nan ... 26.06 26.06 25.87\n",
-       "    ET0               (time, y, x) float32 nan nan nan nan ... 3.446 3.446 3.293\n",
-       "    rg                (time, y, x) float32 nan nan nan nan ... 22.38 22.38 22.37\n",
+       "    tpMoy             (time, y, x) float32 nan nan nan nan ... 23.14 23.14 23.08\n",
+       "    ET0               (time, y, x) float32 nan nan nan nan ... 2.131 2.131 1.954\n",
+       "    rg                (time, y, x) float32 nan nan nan nan ... 18.82 18.82 18.29\n",
        "    profRu            (y, x) float32 1.15e+03 1.15e+03 400.0 ... 1.5e+03 1.5e+03\n",
        "    epaisseurSurf     (y, x) float32 200.0 200.0 200.0 ... 200.0 200.0 200.0\n",
        "    ...                ...\n",
@@ -626,7 +624,7 @@
        "    runoff_rate       (y, x) float32 0.32 0.32 0.32 0.32 ... 0.35 0.35 0.35 0.35\n",
        "    RZPAWC            (y, x) float32 74.0 76.0 24.0 0.0 ... 110.0 149.0 145.0\n",
        "    ru                (y, x) float32 64.35 66.09 60.0 0.0 ... 95.65 99.33 96.67\n",
-       "    dureeDuJour       (time, y, x) float64 12.26 12.26 12.26 ... 11.79 11.79</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-91021119-ebee-45ed-8947-5008198525be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91021119-ebee-45ed-8947-5008198525be' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 111</li><li><span class='xr-has-index'>y</span>: 153</li><li><span>time</span>: 274</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-596842db-71aa-480d-9517-58f797c1eae1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-596842db-71aa-480d-9517-58f797c1eae1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.68 10.73 10.78 ... 16.13 16.18</div><input id='attrs-fbc11740-50ea-4641-8cc7-96dade9372c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbc11740-50ea-4641-8cc7-96dade9372c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2a279fb-9c56-41eb-a6fd-5d833ae8d8ef' class='xr-var-data-in' type='checkbox'><label for='data-f2a279fb-9c56-41eb-a6fd-5d833ae8d8ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([10.675003, 10.725003, 10.775003, 10.825003, 10.875003, 10.925003,\n",
+       "    dureeDuJour       (time, y, x) float64 12.26 12.26 12.26 ... 11.79 11.79</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1cfcd8b9-5cf3-41a5-8fd7-17eaffb4d182' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1cfcd8b9-5cf3-41a5-8fd7-17eaffb4d182' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 111</li><li><span class='xr-has-index'>y</span>: 153</li><li><span>time</span>: 274</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1358085a-1ac3-466a-b478-dfa79b8fa5c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1358085a-1ac3-466a-b478-dfa79b8fa5c5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.68 10.73 10.78 ... 16.13 16.18</div><input id='attrs-939b3299-d328-4bbc-8402-a33e35192957' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-939b3299-d328-4bbc-8402-a33e35192957' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6477dd6e-7b98-43f7-a516-00aad18cdd55' class='xr-var-data-in' type='checkbox'><label for='data-6477dd6e-7b98-43f7-a516-00aad18cdd55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([10.675003, 10.725003, 10.775003, 10.825003, 10.875003, 10.925003,\n",
        "       10.975003, 11.025003, 11.075003, 11.125003, 11.175003, 11.225003,\n",
        "       11.275003, 11.325003, 11.375003, 11.425003, 11.475003, 11.525003,\n",
        "       11.575003, 11.625003, 11.675003, 11.725003, 11.775003, 11.825003,\n",
@@ -644,7 +642,7 @@
        "       15.175003, 15.225003, 15.275003, 15.325003, 15.375003, 15.425003,\n",
        "       15.475003, 15.525003, 15.575003, 15.625003, 15.675003, 15.725003,\n",
        "       15.775003, 15.825003, 15.875003, 15.925003, 15.975003, 16.025003,\n",
-       "       16.075003, 16.125003, 16.175003])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.32 13.27 13.22 ... 5.775 5.725</div><input id='attrs-c9d8fc4d-63da-475c-a7c8-ce519c8b767a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9d8fc4d-63da-475c-a7c8-ce519c8b767a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33aeafdb-cd10-4584-a3ff-65ca47a72f9c' class='xr-var-data-in' type='checkbox'><label for='data-33aeafdb-cd10-4584-a3ff-65ca47a72f9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([13.324999, 13.274999, 13.224999, 13.174999, 13.124999, 13.074999,\n",
+       "       16.075003, 16.125003, 16.175003])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.32 13.27 13.22 ... 5.775 5.725</div><input id='attrs-b6ba236f-e083-49ea-b642-2e7502150822' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6ba236f-e083-49ea-b642-2e7502150822' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c25a777-d749-42a5-888b-f740badaa7ea' class='xr-var-data-in' type='checkbox'><label for='data-5c25a777-d749-42a5-888b-f740badaa7ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([13.324999, 13.274999, 13.224999, 13.174999, 13.124999, 13.074999,\n",
        "       13.024999, 12.974999, 12.924999, 12.874999, 12.824999, 12.774999,\n",
        "       12.724999, 12.674999, 12.624999, 12.574999, 12.524999, 12.474999,\n",
        "       12.424999, 12.374999, 12.324999, 12.274999, 12.224999, 12.174999,\n",
@@ -669,7 +667,7 @@
        "        6.724999,  6.674999,  6.624999,  6.574999,  6.524999,  6.474999,\n",
        "        6.424999,  6.374999,  6.324999,  6.274999,  6.224999,  6.174999,\n",
        "        6.124999,  6.074999,  6.024999,  5.974999,  5.924999,  5.874999,\n",
-       "        5.824999,  5.774999,  5.724999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-4ec06235-8fa8-4935-ba1c-e4523c0d0aab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ec06235-8fa8-4935-ba1c-e4523c0d0aab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1565910d-294e-4f87-b416-3fc52ee7adce' class='xr-var-data-in' type='checkbox'><label for='data-1565910d-294e-4f87-b416-3fc52ee7adce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0efa0c6-828f-43a3-b83a-d60f2822e50a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0efa0c6-828f-43a3-b83a-d60f2822e50a' class='xr-section-summary' >Data variables: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>rain</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c2d41319-a55f-4944-b3b9-305b64bbc58e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2d41319-a55f-4944-b3b9-305b64bbc58e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0765d58a-8835-44b0-9766-e48055239f66' class='xr-var-data-in' type='checkbox'><label for='data-0765d58a-8835-44b0-9766-e48055239f66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>rainfall</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "        5.824999,  5.774999,  5.724999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-bbbd0c70-5512-497d-8f46-4b9de4ed9d72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbbd0c70-5512-497d-8f46-4b9de4ed9d72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd70f08d-623d-4e2f-827b-c5be0e1843f3' class='xr-var-data-in' type='checkbox'><label for='data-dd70f08d-623d-4e2f-827b-c5be0e1843f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d961b442-6907-4e60-8ab5-63af3f93b447' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d961b442-6907-4e60-8ab5-63af3f93b447' class='xr-section-summary' >Data variables: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>rain</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9e025be4-b7ee-4661-92f9-4c98bb84d5a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e025be4-b7ee-4661-92f9-4c98bb84d5a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca4655c2-adb0-40ff-8570-d5f63adc110a' class='xr-var-data-in' type='checkbox'><label for='data-ca4655c2-adb0-40ff-8570-d5f63adc110a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>rainfall</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
        "          0.        ,  0.        ],\n",
        "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
        "          0.        ,  0.        ],\n",
@@ -709,169 +707,169 @@
        "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
        "          0.        ,  0.        ],\n",
        "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
-       "          0.        ,  0.        ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tpMoy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 26.06 26.06 25.87</div><input id='attrs-6e3bda72-0cf3-4dde-bf30-712ece042409' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e3bda72-0cf3-4dde-bf30-712ece042409' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2112b67b-d625-49bf-8db2-fd35fa008bc1' class='xr-var-data-in' type='checkbox'><label for='data-2112b67b-d625-49bf-8db2-fd35fa008bc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "          0.        ,  0.        ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tpMoy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 23.14 23.14 23.08</div><input id='attrs-facca1ee-f5fa-4c3f-8075-fe75aa3c87b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-facca1ee-f5fa-4c3f-8075-fe75aa3c87b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f99f161-d0dc-4f37-bb61-7d9e38aa730c' class='xr-var-data-in' type='checkbox'><label for='data-5f99f161-d0dc-4f37-bb61-7d9e38aa730c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
-       "        [      nan,       nan, 33.359833, ..., 35.08133 , 35.08133 ,\n",
-       "         34.93625 ],\n",
+       "        [      nan,       nan, 17.21341 , ..., 19.194458, 19.194458,\n",
+       "         19.178284],\n",
        "        ...,\n",
-       "        [      nan,       nan, 22.381714, ..., 26.853485, 26.853485,\n",
-       "         27.141388],\n",
-       "        [      nan,       nan, 22.381714, ..., 26.853485, 26.853485,\n",
-       "         27.141388],\n",
-       "        [      nan,       nan, 22.23587 , ..., 27.031311, 27.031311,\n",
-       "         27.048248]],\n",
+       "        [      nan,       nan, 22.660767, ..., 24.170044, 24.170044,\n",
+       "         24.228119],\n",
+       "        [      nan,       nan, 22.660767, ..., 24.170044, 24.170044,\n",
+       "         24.228119],\n",
+       "        [      nan,       nan, 22.687927, ..., 24.857971, 24.857971,\n",
+       "         24.639679]],\n",
        "\n",
        "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
-       "        [      nan,       nan, 32.64279 , ..., 34.908752, 34.908752,\n",
-       "         34.969482],\n",
+       "        [      nan,       nan, 13.971863, ..., 16.786896, 16.786896,\n",
+       "         16.802032],\n",
        "...\n",
-       "        [      nan,       nan, 22.546112, ..., 25.118073, 25.118073,\n",
-       "         25.205597],\n",
-       "        [      nan,       nan, 22.546112, ..., 25.118073, 25.118073,\n",
-       "         25.205597],\n",
-       "        [      nan,       nan, 22.442444, ..., 25.658813, 25.658813,\n",
-       "         25.469757]],\n",
+       "        [      nan,       nan, 19.583923, ..., 23.47467 , 23.47467 ,\n",
+       "         23.54306 ],\n",
+       "        [      nan,       nan, 19.583923, ..., 23.47467 , 23.47467 ,\n",
+       "         23.54306 ],\n",
+       "        [      nan,       nan, 19.497345, ..., 23.699066, 23.699066,\n",
+       "         23.52826 ]],\n",
        "\n",
        "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
-       "        [      nan,       nan, 21.433044, ..., 24.670288, 24.670288,\n",
-       "         24.954254],\n",
-       "        ...,\n",
-       "        [      nan,       nan, 23.099426, ..., 25.563843, 25.563843,\n",
-       "         25.674408],\n",
-       "        [      nan,       nan, 23.099426, ..., 25.563843, 25.563843,\n",
-       "         25.674408],\n",
-       "        [      nan,       nan, 23.031525, ..., 26.062347, 26.062347,\n",
-       "         25.87436 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ET0</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 3.446 3.446 3.293</div><input id='attrs-f194c3dd-dbec-468b-97d4-f984eb121075' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f194c3dd-dbec-468b-97d4-f984eb121075' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77074299-96c4-42eb-8493-a19a362e56ef' class='xr-var-data-in' type='checkbox'><label for='data-77074299-96c4-42eb-8493-a19a362e56ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan, 4.693045 , ..., 4.8987927, 4.8987927,\n",
-       "         4.920338 ],\n",
+       "        [      nan,       nan, 27.952637, ..., 29.420471, 29.420471,\n",
+       "         29.101807],\n",
+       "        ...,\n",
+       "        [      nan,       nan, 20.422333, ..., 22.867798, 22.867798,\n",
+       "         22.974243],\n",
+       "        [      nan,       nan, 20.422333, ..., 22.867798, 22.867798,\n",
+       "         22.974243],\n",
+       "        [      nan,       nan, 20.413513, ..., 23.138489, 23.138489,\n",
+       "         23.076904]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ET0</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.131 2.131 1.954</div><input id='attrs-08e285c0-fb66-402a-90bc-bed8badcf6cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08e285c0-fb66-402a-90bc-bed8badcf6cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b9e290b-968f-433c-b748-d23c7888eb1d' class='xr-var-data-in' type='checkbox'><label for='data-8b9e290b-968f-433c-b748-d23c7888eb1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan, 2.3385005 , ..., 2.5056312 ,\n",
+       "         2.5056312 , 2.4896512 ],\n",
        "        ...,\n",
-       "        [      nan,       nan, 2.4611852, ..., 3.1690967, 3.1690967,\n",
-       "         3.2421584],\n",
-       "        [      nan,       nan, 2.4611852, ..., 3.1690967, 3.1690967,\n",
-       "         3.2421584],\n",
-       "        [      nan,       nan, 2.467165 , ..., 3.2330291, 3.2330291,\n",
-       "         3.1820972]],\n",
+       "        [       nan,        nan, 3.1057634 , ..., 3.0509605 ,\n",
+       "         3.0509605 , 3.011456  ],\n",
+       "        [       nan,        nan, 3.1057634 , ..., 3.0509605 ,\n",
+       "         3.0509605 , 3.011456  ],\n",
+       "        [       nan,        nan, 3.1073034 , ..., 3.3168333 ,\n",
+       "         3.3168333 , 3.1865616 ]],\n",
        "\n",
-       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan, 4.672911 , ..., 4.724585 , 4.724585 ,\n",
-       "         4.7621922],\n",
+       "       [[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan, 2.029123  , ..., 2.309612  ,\n",
+       "         2.309612  , 2.3083744 ],\n",
        "...\n",
-       "        [      nan,       nan, 3.058337 , ..., 3.2406783, 3.2406783,\n",
-       "         3.2471092],\n",
-       "        [      nan,       nan, 3.058337 , ..., 3.2406783, 3.2406783,\n",
-       "         3.2471092],\n",
-       "        [      nan,       nan, 3.1890264, ..., 3.3782184, 3.3782184,\n",
-       "         3.2406018]],\n",
+       "        [       nan,        nan, 0.98987037, ..., 1.9711103 ,\n",
+       "         1.9711103 , 1.9615659 ],\n",
+       "        [       nan,        nan, 0.98987037, ..., 1.9711103 ,\n",
+       "         1.9711103 , 1.9615659 ],\n",
+       "        [       nan,        nan, 1.138219  , ..., 1.9953469 ,\n",
+       "         1.9953469 , 1.934363  ]],\n",
        "\n",
-       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan, 3.076574 , ..., 3.274699 , 3.274699 ,\n",
-       "         3.3111343],\n",
-       "        ...,\n",
-       "        [      nan,       nan, 3.0019379, ..., 3.3042812, 3.3042812,\n",
-       "         3.240717 ],\n",
-       "        [      nan,       nan, 3.0019379, ..., 3.3042812, 3.3042812,\n",
-       "         3.240717 ],\n",
-       "        [      nan,       nan, 3.1302733, ..., 3.4456956, 3.4456956,\n",
-       "         3.2932034]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rg</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 22.38 22.38 22.37</div><input id='attrs-4f1a5c9b-69fd-41e1-97e8-bb1300e14300' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f1a5c9b-69fd-41e1-97e8-bb1300e14300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f17fae57-bea2-4720-ad07-1e05ed40b54a' class='xr-var-data-in' type='checkbox'><label for='data-f17fae57-bea2-4720-ad07-1e05ed40b54a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
+       "       [[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan, 3.3394496 , ..., 3.1956115 ,\n",
+       "         3.1956115 , 3.1468093 ],\n",
+       "        ...,\n",
+       "        [       nan,        nan, 2.1453316 , ..., 2.1088169 ,\n",
+       "         2.1088169 , 1.9935874 ],\n",
+       "        [       nan,        nan, 2.1453316 , ..., 2.1088169 ,\n",
+       "         2.1088169 , 1.9935874 ],\n",
+       "        [       nan,        nan, 2.2076254 , ..., 2.130819  ,\n",
+       "         2.130819  , 1.9538504 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rg</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 18.82 18.82 18.29</div><input id='attrs-2b7f1c46-0299-4180-a6ab-8b6e15d01431' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b7f1c46-0299-4180-a6ab-8b6e15d01431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2f2b1dd-66a6-470b-9ac4-fee472feef41' class='xr-var-data-in' type='checkbox'><label for='data-a2f2b1dd-66a6-470b-9ac4-fee472feef41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 24.495, ..., 26.122, 26.122, 26.187],\n",
+       "        [   nan,    nan, 20.955, ..., 20.877, 20.877, 20.856],\n",
        "        ...,\n",
-       "        [   nan,    nan, 20.834, ..., 22.817, 22.817, 22.831],\n",
-       "        [   nan,    nan, 20.834, ..., 22.817, 22.817, 22.831],\n",
-       "        [   nan,    nan, 20.601, ..., 22.742, 22.742, 22.716]],\n",
+       "        [   nan,    nan, 22.567, ..., 21.38 , 21.38 , 21.353],\n",
+       "        [   nan,    nan, 22.567, ..., 21.38 , 21.38 , 21.353],\n",
+       "        [   nan,    nan, 22.395, ..., 21.834, 21.834, 21.847]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 24.658, ..., 24.326, 24.326, 24.41 ],\n",
+       "        [   nan,    nan, 20.902, ..., 21.055, 21.055, 21.041],\n",
        "        ...,\n",
-       "        [   nan,    nan, 23.686, ..., 23.119, 23.119, 22.971],\n",
-       "        [   nan,    nan, 23.686, ..., 23.119, 23.119, 22.971],\n",
-       "        [   nan,    nan, 23.807, ..., 23.355, 23.355, 23.277]],\n",
+       "        [   nan,    nan, 20.362, ..., 21.156, 21.156, 20.842],\n",
+       "        [   nan,    nan, 20.362, ..., 21.156, 21.156, 20.842],\n",
+       "        [   nan,    nan, 19.931, ..., 20.843, 20.843, 20.56 ]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 26.345, ..., 25.939, 25.939, 25.973],\n",
+       "        [   nan,    nan, 20.752, ..., 20.819, 20.819, 20.767],\n",
        "        ...,\n",
        "...\n",
-       "        [   nan,    nan, 22.52 , ..., 21.102, 21.102, 21.082],\n",
-       "        [   nan,    nan, 22.52 , ..., 21.102, 21.102, 21.082],\n",
-       "        [   nan,    nan, 22.62 , ..., 21.146, 21.146, 21.228]],\n",
+       "        [   nan,    nan, 17.814, ..., 16.486, 16.486, 16.276],\n",
+       "        [   nan,    nan, 17.814, ..., 16.486, 16.486, 16.276],\n",
+       "        [   nan,    nan, 16.331, ..., 17.118, 17.118, 16.928]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 20.461, ..., 20.745, 20.745, 20.71 ],\n",
+       "        [   nan,    nan, 21.645, ..., 22.717, 22.717, 22.803],\n",
        "        ...,\n",
-       "        [   nan,    nan, 22.881, ..., 21.976, 21.976, 21.92 ],\n",
-       "        [   nan,    nan, 22.881, ..., 21.976, 21.976, 21.92 ],\n",
-       "        [   nan,    nan, 22.924, ..., 22.071, 22.071, 22.051]],\n",
+       "        [   nan,    nan, 12.597, ..., 17.885, 17.885, 17.9  ],\n",
+       "        [   nan,    nan, 12.597, ..., 17.885, 17.885, 17.9  ],\n",
+       "        [   nan,    nan, 12.809, ..., 17.951, 17.951, 17.849]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 20.574, ..., 20.816, 20.816, 20.781],\n",
+       "        [   nan,    nan, 23.475, ..., 22.42 , 22.42 , 22.098],\n",
        "        ...,\n",
-       "        [   nan,    nan, 22.234, ..., 22.224, 22.224, 22.172],\n",
-       "        [   nan,    nan, 22.234, ..., 22.224, 22.224, 22.172],\n",
-       "        [   nan,    nan, 22.478, ..., 22.384, 22.384, 22.367]]],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profRu</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.15e+03 1.15e+03 ... 1.5e+03</div><input id='attrs-93e8d924-90e1-4501-87e6-2c6c42b6dff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e8d924-90e1-4501-87e6-2c6c42b6dff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc754585-19ae-496a-9757-c70763c436db' class='xr-var-data-in' type='checkbox'><label for='data-cc754585-19ae-496a-9757-c70763c436db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil root zone depth (mm) adapted from Africa SoilGrids RZD</dd></dl></div><div class='xr-var-data'><pre>array([[1150., 1150.,  400., ..., 1150., 1150., 1500.],\n",
+       "        [   nan,    nan, 20.106, ..., 18.711, 18.711, 18.234],\n",
+       "        [   nan,    nan, 20.106, ..., 18.711, 18.711, 18.234],\n",
+       "        [   nan,    nan, 19.794, ..., 18.815, 18.815, 18.292]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profRu</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.15e+03 1.15e+03 ... 1.5e+03</div><input id='attrs-0736556a-ff16-475f-9117-86a8c8709efc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0736556a-ff16-475f-9117-86a8c8709efc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fb06e5d-5bd0-4c84-865b-0ebc1beb18ed' class='xr-var-data-in' type='checkbox'><label for='data-7fb06e5d-5bd0-4c84-865b-0ebc1beb18ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil root zone depth (mm) adapted from Africa SoilGrids RZD</dd></dl></div><div class='xr-var-data'><pre>array([[1150., 1150.,  400., ..., 1150., 1150., 1500.],\n",
        "       [ 750.,  750.,  600., ..., 1500., 1500., 1500.],\n",
        "       [ 400.,  750., 1150., ..., 1500., 1500., 1500.],\n",
        "       ...,\n",
        "       [  10.,   10.,   10., ..., 1500., 1500., 1500.],\n",
        "       [  10., 1500., 1500., ..., 1500., 1500., 1500.],\n",
-       "       [1420.,   10., 1500., ..., 1150., 1500., 1500.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epaisseurSurf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 200.0 ... 200.0 200.0</div><input id='attrs-d555238d-88a2-4daa-92c9-5d6e2fbb715a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d555238d-88a2-4daa-92c9-5d6e2fbb715a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c7feca-7a06-4cd9-b3a8-e45720f5b471' class='xr-var-data-in' type='checkbox'><label for='data-32c7feca-7a06-4cd9-b3a8-e45720f5b471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil surface reservoir depth (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[200., 200., 200., ..., 200., 200., 200.],\n",
+       "       [1420.,   10., 1500., ..., 1150., 1500., 1500.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epaisseurSurf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 200.0 ... 200.0 200.0</div><input id='attrs-f9e40e94-3205-44b3-8b48-5f70e283b94c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9e40e94-3205-44b3-8b48-5f70e283b94c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5550295-42be-40ab-af58-dd774fcc8543' class='xr-var-data-in' type='checkbox'><label for='data-e5550295-42be-40ab-af58-dd774fcc8543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil surface reservoir depth (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[200., 200., 200., ..., 200., 200., 200.],\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
        "       ...,\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
-       "       [200., 200., 200., ..., 200., 200., 200.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stockIniProf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cc2e77b8-25c9-4e53-8b3a-36cf7d8d2cc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc2e77b8-25c9-4e53-8b3a-36cf7d8d2cc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c96b8d3b-b4ee-4d7f-8cbe-bd461a7daed4' class='xr-var-data-in' type='checkbox'><label for='data-c96b8d3b-b4ee-4d7f-8cbe-bd461a7daed4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Initial water stock in the deep surface reservoir (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [200., 200., 200., ..., 200., 200., 200.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stockIniProf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b9d986f7-8567-4dbb-8b17-c7f6f28594d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9d986f7-8567-4dbb-8b17-c7f6f28594d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eafc343-3320-4c1f-8895-4e6f4f714b24' class='xr-var-data-in' type='checkbox'><label for='data-8eafc343-3320-4c1f-8895-4e6f4f714b24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Initial water stock in the deep surface reservoir (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_type</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.0 9.0 9.0 9.0 ... 6.0 6.0 6.0 6.0</div><input id='attrs-b3e69c2a-bd59-4eed-9b34-9cc3288164fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3e69c2a-bd59-4eed-9b34-9cc3288164fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-087dcdd0-3141-4ba0-8559-c0d29ac003ab' class='xr-var-data-in' type='checkbox'><label for='data-087dcdd0-3141-4ba0-8559-c0d29ac003ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 9.,  9.,  9., ...,  9.,  9.,  9.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_type</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.0 9.0 9.0 9.0 ... 6.0 6.0 6.0 6.0</div><input id='attrs-4bcc2fa1-c050-4ced-96d1-5ad99690ee8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4bcc2fa1-c050-4ced-96d1-5ad99690ee8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5546c4d1-43c4-4e1e-8723-9501fe333760' class='xr-var-data-in' type='checkbox'><label for='data-5546c4d1-43c4-4e1e-8723-9501fe333760' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 9.,  9.,  9., ...,  9.,  9.,  9.],\n",
        "       [ 9., 11.,  9., ...,  9.,  9.,  9.],\n",
        "       [ 9.,  9.,  9., ...,  9.,  9.,  9.],\n",
        "       ...,\n",
        "       [ 1.,  1.,  1., ...,  6.,  6.,  6.],\n",
        "       [ 1.,  4.,  4., ...,  6.,  6.,  6.],\n",
-       "       [ 4.,  4.,  4., ...,  6.,  6.,  6.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_threshold</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.0 18.0 18.0 ... 15.0 15.0 15.0</div><input id='attrs-0c36283b-08c1-43c5-9dee-1c6bb980015f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c36283b-08c1-43c5-9dee-1c6bb980015f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bff13cdf-1897-41d4-aaa9-b253984ac3e0' class='xr-var-data-in' type='checkbox'><label for='data-bff13cdf-1897-41d4-aaa9-b253984ac3e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18., 18., 18., ..., 18., 18., 18.],\n",
+       "       [ 4.,  4.,  4., ...,  6.,  6.,  6.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_threshold</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.0 18.0 18.0 ... 15.0 15.0 15.0</div><input id='attrs-72211911-2f75-4f08-a206-597daf8d2c75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72211911-2f75-4f08-a206-597daf8d2c75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5f4a80a-7518-4901-88b1-52b249f3c6ff' class='xr-var-data-in' type='checkbox'><label for='data-c5f4a80a-7518-4901-88b1-52b249f3c6ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18., 18., 18., ..., 18., 18., 18.],\n",
        "       [18., 20., 18., ..., 18., 18., 18.],\n",
        "       [18., 18., 18., ..., 18., 18., 18.],\n",
        "       ...,\n",
        "       [10., 10., 10., ..., 15., 15., 15.],\n",
        "       [10., 12., 12., ..., 15., 15., 15.],\n",
-       "       [12., 12., 12., ..., 15., 15., 15.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_rate</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.32 0.32 0.32 ... 0.35 0.35 0.35</div><input id='attrs-71b5141e-a8fc-430d-8d67-34cdbfc9f8de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71b5141e-a8fc-430d-8d67-34cdbfc9f8de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89fd701d-4e72-4c57-a690-f6564a4bce63' class='xr-var-data-in' type='checkbox'><label for='data-89fd701d-4e72-4c57-a690-f6564a4bce63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32, 0.32, 0.32, ..., 0.32, 0.32, 0.32],\n",
+       "       [12., 12., 12., ..., 15., 15., 15.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_rate</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.32 0.32 0.32 ... 0.35 0.35 0.35</div><input id='attrs-75d39ef3-7036-4087-94ff-6750663ced3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75d39ef3-7036-4087-94ff-6750663ced3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e14d17f3-3e9d-4935-9d12-f45b572f6578' class='xr-var-data-in' type='checkbox'><label for='data-e14d17f3-3e9d-4935-9d12-f45b572f6578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32, 0.32, 0.32, ..., 0.32, 0.32, 0.32],\n",
        "       [0.32, 0.27, 0.32, ..., 0.32, 0.32, 0.32],\n",
        "       [0.32, 0.32, 0.32, ..., 0.32, 0.32, 0.32],\n",
        "       ...,\n",
        "       [0.4 , 0.4 , 0.4 , ..., 0.35, 0.35, 0.35],\n",
        "       [0.4 , 0.36, 0.36, ..., 0.35, 0.35, 0.35],\n",
-       "       [0.36, 0.36, 0.36, ..., 0.35, 0.35, 0.35]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RZPAWC</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>74.0 76.0 24.0 ... 149.0 145.0</div><input id='attrs-06af8dc8-e9dd-4549-ab88-e0f217514c35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06af8dc8-e9dd-4549-ab88-e0f217514c35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ff7179e-e252-4383-9a3a-52251082bb9e' class='xr-var-data-in' type='checkbox'><label for='data-8ff7179e-e252-4383-9a3a-52251082bb9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Root zone plant available water capacity (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[ 74.,  76.,  24., ...,  83.,  78.,  93.],\n",
+       "       [0.36, 0.36, 0.36, ..., 0.35, 0.35, 0.35]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RZPAWC</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>74.0 76.0 24.0 ... 149.0 145.0</div><input id='attrs-54411ba9-838e-40d6-b4fb-60a2d440ff8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54411ba9-838e-40d6-b4fb-60a2d440ff8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c2a6117-cbc8-45a9-b215-c74d08e6c361' class='xr-var-data-in' type='checkbox'><label for='data-5c2a6117-cbc8-45a9-b215-c74d08e6c361' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Root zone plant available water capacity (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[ 74.,  76.,  24., ...,  83.,  78.,  93.],\n",
        "       [ 49.,  44.,  41., ..., 103., 116., 110.],\n",
        "       [ 28.,  40.,  68., ..., 105., 112.,  99.],\n",
        "       ...,\n",
        "       [  0.,   0.,   1., ..., 153., 141., 127.],\n",
        "       [  0., 110., 128., ..., 140., 151., 143.],\n",
-       "       [102.,   0., 127., ..., 110., 149., 145.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ru</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>64.35 66.09 60.0 ... 99.33 96.67</div><input id='attrs-e495de10-a6f2-4151-ac97-8e94811261cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e495de10-a6f2-4151-ac97-8e94811261cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcd4c8eb-89a8-42a7-892f-f6b061fcd1ee' class='xr-var-data-in' type='checkbox'><label for='data-dcd4c8eb-89a8-42a7-892f-f6b061fcd1ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 64.347824,  66.08696 ,  60.      , ...,  72.17391 ,  67.82609 ,\n",
+       "       [102.,   0., 127., ..., 110., 149., 145.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ru</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>64.35 66.09 60.0 ... 99.33 96.67</div><input id='attrs-7328a7d5-6adf-420e-8e5b-8d634422b4d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7328a7d5-6adf-420e-8e5b-8d634422b4d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bab4a761-18e8-4794-9863-964680b02a3a' class='xr-var-data-in' type='checkbox'><label for='data-bab4a761-18e8-4794-9863-964680b02a3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 64.347824,  66.08696 ,  60.      , ...,  72.17391 ,  67.82609 ,\n",
        "         62.      ],\n",
        "       [ 65.333336,  58.666668,  68.33333 , ...,  68.666664,  77.333336,\n",
        "         73.333336],\n",
@@ -883,7 +881,7 @@
        "       [  0.      ,  73.333336,  85.333336, ...,  93.333336, 100.666664,\n",
        "         95.333336],\n",
        "       [ 71.830986,   0.      ,  84.666664, ...,  95.652176,  99.333336,\n",
-       "         96.666664]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dureeDuJour</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.26 12.26 12.26 ... 11.79 11.79</div><input id='attrs-ab202a36-bc05-4318-a7e4-5337d6050a31' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab202a36-bc05-4318-a7e4-5337d6050a31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f53695cc-5c1b-40d2-be6a-8b29bd8ded6f' class='xr-var-data-in' type='checkbox'><label for='data-f53695cc-5c1b-40d2-be6a-8b29bd8ded6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[12.25888889, 12.25888889, 12.25888889, ..., 12.25888889,\n",
+       "         96.666664]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dureeDuJour</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.26 12.26 12.26 ... 11.79 11.79</div><input id='attrs-04abfdf2-2e88-468b-9f76-be36bb43ffc2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04abfdf2-2e88-468b-9f76-be36bb43ffc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f64d8a9-1361-4b16-a6cd-ca020ed69055' class='xr-var-data-in' type='checkbox'><label for='data-6f64d8a9-1361-4b16-a6cd-ca020ed69055' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[12.25888889, 12.25888889, 12.25888889, ..., 12.25888889,\n",
        "         12.25888889, 12.25888889],\n",
        "        [12.25805556, 12.25805556, 12.25805556, ..., 12.25805556,\n",
        "         12.25805556, 12.25805556],\n",
@@ -923,7 +921,7 @@
        "        [11.78888889, 11.78888889, 11.78888889, ..., 11.78888889,\n",
        "         11.78888889, 11.78888889],\n",
        "        [11.79194444, 11.79194444, 11.79194444, ..., 11.79194444,\n",
-       "         11.79194444, 11.79194444]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-accaf370-197c-4622-b73a-6a35083302f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-accaf370-197c-4622-b73a-6a35083302f9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "         11.79194444, 11.79194444]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f31b4803-382f-489c-911c-8f84b334750e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f31b4803-382f-489c-911c-8f84b334750e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -935,9 +933,9 @@
        "Dimensions without coordinates: time\n",
        "Data variables: (12/13)\n",
        "    rain              (time, y, x) float32 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0\n",
-       "    tpMoy             (time, y, x) float32 nan nan nan nan ... 26.06 26.06 25.87\n",
-       "    ET0               (time, y, x) float32 nan nan nan nan ... 3.446 3.446 3.293\n",
-       "    rg                (time, y, x) float32 nan nan nan nan ... 22.38 22.38 22.37\n",
+       "    tpMoy             (time, y, x) float32 nan nan nan nan ... 23.14 23.14 23.08\n",
+       "    ET0               (time, y, x) float32 nan nan nan nan ... 2.131 2.131 1.954\n",
+       "    rg                (time, y, x) float32 nan nan nan nan ... 18.82 18.82 18.29\n",
        "    profRu            (y, x) float32 1.15e+03 1.15e+03 400.0 ... 1.5e+03 1.5e+03\n",
        "    epaisseurSurf     (y, x) float32 200.0 200.0 200.0 ... 200.0 200.0 200.0\n",
        "    ...                ...\n",
@@ -949,7 +947,7 @@
        "    dureeDuJour       (time, y, x) float64 12.26 12.26 12.26 ... 11.79 11.79"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -976,7 +974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -999,7 +997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1022,7 +1020,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1389,9 +1387,9 @@
        "Dimensions without coordinates: time\n",
        "Data variables: (12/111)\n",
        "    rain                         (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0\n",
-       "    tpMoy                        (time, y, x) float32 nan nan ... 26.06 25.87\n",
-       "    ET0                          (time, y, x) float32 nan nan ... 3.446 3.293\n",
-       "    rg                           (time, y, x) float32 nan nan ... 22.38 22.37\n",
+       "    tpMoy                        (time, y, x) float32 nan nan ... 23.14 23.08\n",
+       "    ET0                          (time, y, x) float32 nan nan ... 2.131 1.954\n",
+       "    rg                           (time, y, x) float32 nan nan ... 18.82 18.29\n",
        "    profRu                       (y, x) float32 1.15e+03 1.15e+03 ... 1.5e+03\n",
        "    epaisseurSurf                (y, x) float32 200.0 200.0 ... 200.0 200.0\n",
        "    ...                           ...\n",
@@ -1400,7 +1398,7 @@
        "    UBTCulture                   (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0\n",
        "    lai                          (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0\n",
        "    Ncrit                        (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0\n",
-       "    irrigation                   (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-754596ae-594b-402e-b062-d26bc599f157' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-754596ae-594b-402e-b062-d26bc599f157' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 111</li><li><span class='xr-has-index'>y</span>: 153</li><li><span>time</span>: 274</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4d51ded4-b2ad-4d63-832f-8417396726a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d51ded4-b2ad-4d63-832f-8417396726a4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.68 10.73 10.78 ... 16.13 16.18</div><input id='attrs-39e13202-d8d9-44a2-a5e2-f28340e39f2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39e13202-d8d9-44a2-a5e2-f28340e39f2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac00eda-8d7e-4225-8763-fba9ca89618b' class='xr-var-data-in' type='checkbox'><label for='data-9ac00eda-8d7e-4225-8763-fba9ca89618b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([10.675003, 10.725003, 10.775003, 10.825003, 10.875003, 10.925003,\n",
+       "    irrigation                   (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a0d953ce-4ad6-4413-ae05-2c867bb2ff19' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a0d953ce-4ad6-4413-ae05-2c867bb2ff19' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 111</li><li><span class='xr-has-index'>y</span>: 153</li><li><span>time</span>: 274</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7166ea40-ee64-405e-aaa1-8d056c6a106b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7166ea40-ee64-405e-aaa1-8d056c6a106b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.68 10.73 10.78 ... 16.13 16.18</div><input id='attrs-86c0b66a-1482-4f4d-a313-bff375c52e49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c0b66a-1482-4f4d-a313-bff375c52e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a7e9d19-cf6e-4118-b126-ce291fcd9850' class='xr-var-data-in' type='checkbox'><label for='data-9a7e9d19-cf6e-4118-b126-ce291fcd9850' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([10.675003, 10.725003, 10.775003, 10.825003, 10.875003, 10.925003,\n",
        "       10.975003, 11.025003, 11.075003, 11.125003, 11.175003, 11.225003,\n",
        "       11.275003, 11.325003, 11.375003, 11.425003, 11.475003, 11.525003,\n",
        "       11.575003, 11.625003, 11.675003, 11.725003, 11.775003, 11.825003,\n",
@@ -1418,7 +1416,7 @@
        "       15.175003, 15.225003, 15.275003, 15.325003, 15.375003, 15.425003,\n",
        "       15.475003, 15.525003, 15.575003, 15.625003, 15.675003, 15.725003,\n",
        "       15.775003, 15.825003, 15.875003, 15.925003, 15.975003, 16.025003,\n",
-       "       16.075003, 16.125003, 16.175003])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.32 13.27 13.22 ... 5.775 5.725</div><input id='attrs-b106cd76-2609-49d5-9281-ac33b97738d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b106cd76-2609-49d5-9281-ac33b97738d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43cb8eea-52aa-4660-937f-91456178cf27' class='xr-var-data-in' type='checkbox'><label for='data-43cb8eea-52aa-4660-937f-91456178cf27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([13.324999, 13.274999, 13.224999, 13.174999, 13.124999, 13.074999,\n",
+       "       16.075003, 16.125003, 16.175003])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.32 13.27 13.22 ... 5.775 5.725</div><input id='attrs-34d42e83-cf30-4e6b-bc4b-4d96a39cf09b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34d42e83-cf30-4e6b-bc4b-4d96a39cf09b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f4338a0-38b7-4f4d-86fd-3e48947625d1' class='xr-var-data-in' type='checkbox'><label for='data-3f4338a0-38b7-4f4d-86fd-3e48947625d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([13.324999, 13.274999, 13.224999, 13.174999, 13.124999, 13.074999,\n",
        "       13.024999, 12.974999, 12.924999, 12.874999, 12.824999, 12.774999,\n",
        "       12.724999, 12.674999, 12.624999, 12.574999, 12.524999, 12.474999,\n",
        "       12.424999, 12.374999, 12.324999, 12.274999, 12.224999, 12.174999,\n",
@@ -1443,7 +1441,7 @@
        "        6.724999,  6.674999,  6.624999,  6.574999,  6.524999,  6.474999,\n",
        "        6.424999,  6.374999,  6.324999,  6.274999,  6.224999,  6.174999,\n",
        "        6.124999,  6.074999,  6.024999,  5.974999,  5.924999,  5.874999,\n",
-       "        5.824999,  5.774999,  5.724999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-d38db677-4b9e-4762-95f5-d58659d12a96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d38db677-4b9e-4762-95f5-d58659d12a96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b995019c-0ac1-44b4-b93d-f7a717704c30' class='xr-var-data-in' type='checkbox'><label for='data-b995019c-0ac1-44b4-b93d-f7a717704c30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8cc1d39f-fa26-45fb-8796-c455978e8099' class='xr-section-summary-in' type='checkbox'  ><label for='section-8cc1d39f-fa26-45fb-8796-c455978e8099' class='xr-section-summary' >Data variables: <span>(111)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>rain</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c9f22ef8-9d55-4e2a-a9dd-a3937cdf0962' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9f22ef8-9d55-4e2a-a9dd-a3937cdf0962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d967f61e-10a9-495b-a1e3-d7d18597b2fd' class='xr-var-data-in' type='checkbox'><label for='data-d967f61e-10a9-495b-a1e3-d7d18597b2fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>rainfall</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+       "        5.824999,  5.774999,  5.724999])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-9cb07ccd-0c9f-4191-b5aa-a96d7fcfd79c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cb07ccd-0c9f-4191-b5aa-a96d7fcfd79c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-395b9903-257e-49d5-b0f5-b319c7d6b4a8' class='xr-var-data-in' type='checkbox'><label for='data-395b9903-257e-49d5-b0f5-b319c7d6b4a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7573b040-06ba-4472-a9fa-24ad2cf8f07c' class='xr-section-summary-in' type='checkbox'  ><label for='section-7573b040-06ba-4472-a9fa-24ad2cf8f07c' class='xr-section-summary' >Data variables: <span>(111)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>rain</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-70f838ea-f60b-49db-bd81-bdeff6b69c46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70f838ea-f60b-49db-bd81-bdeff6b69c46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6c89276-9369-46f0-9afa-9876c1738287' class='xr-var-data-in' type='checkbox'><label for='data-b6c89276-9369-46f0-9afa-9876c1738287' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>rainfall</dd></dl></div><div class='xr-var-data'><pre>array([[[ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
        "          0.        ,  0.        ],\n",
        "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
        "          0.        ,  0.        ],\n",
@@ -1483,169 +1481,169 @@
        "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
        "          0.        ,  0.        ],\n",
        "        [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
-       "          0.        ,  0.        ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tpMoy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 26.06 26.06 25.87</div><input id='attrs-b125d070-9a48-4b77-8e90-b198bfe7b04c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b125d070-9a48-4b77-8e90-b198bfe7b04c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ce7c958-3b24-46d7-8be4-50c2be2f5a69' class='xr-var-data-in' type='checkbox'><label for='data-0ce7c958-3b24-46d7-8be4-50c2be2f5a69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
+       "          0.        ,  0.        ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tpMoy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 23.14 23.14 23.08</div><input id='attrs-39d89df5-a09c-4a2c-8892-22d294efdc1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39d89df5-a09c-4a2c-8892-22d294efdc1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf66c4ba-a47f-4486-aad9-11c43f2d9834' class='xr-var-data-in' type='checkbox'><label for='data-bf66c4ba-a47f-4486-aad9-11c43f2d9834' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
-       "        [      nan,       nan, 33.359833, ..., 35.08133 , 35.08133 ,\n",
-       "         34.93625 ],\n",
+       "        [      nan,       nan, 17.21341 , ..., 19.194458, 19.194458,\n",
+       "         19.178284],\n",
        "        ...,\n",
-       "        [      nan,       nan, 22.381714, ..., 26.853485, 26.853485,\n",
-       "         27.141388],\n",
-       "        [      nan,       nan, 22.381714, ..., 26.853485, 26.853485,\n",
-       "         27.141388],\n",
-       "        [      nan,       nan, 22.23587 , ..., 27.031311, 27.031311,\n",
-       "         27.048248]],\n",
+       "        [      nan,       nan, 22.660767, ..., 24.170044, 24.170044,\n",
+       "         24.228119],\n",
+       "        [      nan,       nan, 22.660767, ..., 24.170044, 24.170044,\n",
+       "         24.228119],\n",
+       "        [      nan,       nan, 22.687927, ..., 24.857971, 24.857971,\n",
+       "         24.639679]],\n",
        "\n",
        "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
-       "        [      nan,       nan, 32.64279 , ..., 34.908752, 34.908752,\n",
-       "         34.969482],\n",
+       "        [      nan,       nan, 13.971863, ..., 16.786896, 16.786896,\n",
+       "         16.802032],\n",
        "...\n",
-       "        [      nan,       nan, 22.546112, ..., 25.118073, 25.118073,\n",
-       "         25.205597],\n",
-       "        [      nan,       nan, 22.546112, ..., 25.118073, 25.118073,\n",
-       "         25.205597],\n",
-       "        [      nan,       nan, 22.442444, ..., 25.658813, 25.658813,\n",
-       "         25.469757]],\n",
+       "        [      nan,       nan, 19.583923, ..., 23.47467 , 23.47467 ,\n",
+       "         23.54306 ],\n",
+       "        [      nan,       nan, 19.583923, ..., 23.47467 , 23.47467 ,\n",
+       "         23.54306 ],\n",
+       "        [      nan,       nan, 19.497345, ..., 23.699066, 23.699066,\n",
+       "         23.52826 ]],\n",
        "\n",
        "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
        "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
        "               nan],\n",
-       "        [      nan,       nan, 21.433044, ..., 24.670288, 24.670288,\n",
-       "         24.954254],\n",
-       "        ...,\n",
-       "        [      nan,       nan, 23.099426, ..., 25.563843, 25.563843,\n",
-       "         25.674408],\n",
-       "        [      nan,       nan, 23.099426, ..., 25.563843, 25.563843,\n",
-       "         25.674408],\n",
-       "        [      nan,       nan, 23.031525, ..., 26.062347, 26.062347,\n",
-       "         25.87436 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ET0</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 3.446 3.446 3.293</div><input id='attrs-f48ab59e-775d-4310-aafa-826d7bd8a4e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f48ab59e-775d-4310-aafa-826d7bd8a4e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a642783-f137-49cf-aacc-955d4883f8c5' class='xr-var-data-in' type='checkbox'><label for='data-1a642783-f137-49cf-aacc-955d4883f8c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan, 4.693045 , ..., 4.8987927, 4.8987927,\n",
-       "         4.920338 ],\n",
+       "        [      nan,       nan, 27.952637, ..., 29.420471, 29.420471,\n",
+       "         29.101807],\n",
+       "        ...,\n",
+       "        [      nan,       nan, 20.422333, ..., 22.867798, 22.867798,\n",
+       "         22.974243],\n",
+       "        [      nan,       nan, 20.422333, ..., 22.867798, 22.867798,\n",
+       "         22.974243],\n",
+       "        [      nan,       nan, 20.413513, ..., 23.138489, 23.138489,\n",
+       "         23.076904]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ET0</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.131 2.131 1.954</div><input id='attrs-29d24322-2492-4b1f-b24c-8562f8d7d57f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d24322-2492-4b1f-b24c-8562f8d7d57f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e178a47-f28f-477d-8618-c4504fdb0fa6' class='xr-var-data-in' type='checkbox'><label for='data-7e178a47-f28f-477d-8618-c4504fdb0fa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan, 2.3385005 , ..., 2.5056312 ,\n",
+       "         2.5056312 , 2.4896512 ],\n",
        "        ...,\n",
-       "        [      nan,       nan, 2.4611852, ..., 3.1690967, 3.1690967,\n",
-       "         3.2421584],\n",
-       "        [      nan,       nan, 2.4611852, ..., 3.1690967, 3.1690967,\n",
-       "         3.2421584],\n",
-       "        [      nan,       nan, 2.467165 , ..., 3.2330291, 3.2330291,\n",
-       "         3.1820972]],\n",
+       "        [       nan,        nan, 3.1057634 , ..., 3.0509605 ,\n",
+       "         3.0509605 , 3.011456  ],\n",
+       "        [       nan,        nan, 3.1057634 , ..., 3.0509605 ,\n",
+       "         3.0509605 , 3.011456  ],\n",
+       "        [       nan,        nan, 3.1073034 , ..., 3.3168333 ,\n",
+       "         3.3168333 , 3.1865616 ]],\n",
        "\n",
-       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan, 4.672911 , ..., 4.724585 , 4.724585 ,\n",
-       "         4.7621922],\n",
+       "       [[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan, 2.029123  , ..., 2.309612  ,\n",
+       "         2.309612  , 2.3083744 ],\n",
        "...\n",
-       "        [      nan,       nan, 3.058337 , ..., 3.2406783, 3.2406783,\n",
-       "         3.2471092],\n",
-       "        [      nan,       nan, 3.058337 , ..., 3.2406783, 3.2406783,\n",
-       "         3.2471092],\n",
-       "        [      nan,       nan, 3.1890264, ..., 3.3782184, 3.3782184,\n",
-       "         3.2406018]],\n",
+       "        [       nan,        nan, 0.98987037, ..., 1.9711103 ,\n",
+       "         1.9711103 , 1.9615659 ],\n",
+       "        [       nan,        nan, 0.98987037, ..., 1.9711103 ,\n",
+       "         1.9711103 , 1.9615659 ],\n",
+       "        [       nan,        nan, 1.138219  , ..., 1.9953469 ,\n",
+       "         1.9953469 , 1.934363  ]],\n",
        "\n",
-       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
-       "               nan],\n",
-       "        [      nan,       nan, 3.076574 , ..., 3.274699 , 3.274699 ,\n",
-       "         3.3111343],\n",
-       "        ...,\n",
-       "        [      nan,       nan, 3.0019379, ..., 3.3042812, 3.3042812,\n",
-       "         3.240717 ],\n",
-       "        [      nan,       nan, 3.0019379, ..., 3.3042812, 3.3042812,\n",
-       "         3.240717 ],\n",
-       "        [      nan,       nan, 3.1302733, ..., 3.4456956, 3.4456956,\n",
-       "         3.2932034]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rg</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 22.38 22.38 22.37</div><input id='attrs-8b8025e2-547a-4737-85fb-a2240f1c46b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b8025e2-547a-4737-85fb-a2240f1c46b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7b0d1f2-8c8c-46aa-a87e-f547027b5e27' class='xr-var-data-in' type='checkbox'><label for='data-c7b0d1f2-8c8c-46aa-a87e-f547027b5e27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
+       "       [[       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan,        nan, ...,        nan,\n",
+       "                nan,        nan],\n",
+       "        [       nan,        nan, 3.3394496 , ..., 3.1956115 ,\n",
+       "         3.1956115 , 3.1468093 ],\n",
+       "        ...,\n",
+       "        [       nan,        nan, 2.1453316 , ..., 2.1088169 ,\n",
+       "         2.1088169 , 1.9935874 ],\n",
+       "        [       nan,        nan, 2.1453316 , ..., 2.1088169 ,\n",
+       "         2.1088169 , 1.9935874 ],\n",
+       "        [       nan,        nan, 2.2076254 , ..., 2.130819  ,\n",
+       "         2.130819  , 1.9538504 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rg</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 18.82 18.82 18.29</div><input id='attrs-4ac8219a-c375-4999-bf2a-783336b90dd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ac8219a-c375-4999-bf2a-783336b90dd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5e624cd-cd3b-43a1-b43f-ba4f52253445' class='xr-var-data-in' type='checkbox'><label for='data-d5e624cd-cd3b-43a1-b43f-ba4f52253445' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 24.495, ..., 26.122, 26.122, 26.187],\n",
+       "        [   nan,    nan, 20.955, ..., 20.877, 20.877, 20.856],\n",
        "        ...,\n",
-       "        [   nan,    nan, 20.834, ..., 22.817, 22.817, 22.831],\n",
-       "        [   nan,    nan, 20.834, ..., 22.817, 22.817, 22.831],\n",
-       "        [   nan,    nan, 20.601, ..., 22.742, 22.742, 22.716]],\n",
+       "        [   nan,    nan, 22.567, ..., 21.38 , 21.38 , 21.353],\n",
+       "        [   nan,    nan, 22.567, ..., 21.38 , 21.38 , 21.353],\n",
+       "        [   nan,    nan, 22.395, ..., 21.834, 21.834, 21.847]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 24.658, ..., 24.326, 24.326, 24.41 ],\n",
+       "        [   nan,    nan, 20.902, ..., 21.055, 21.055, 21.041],\n",
        "        ...,\n",
-       "        [   nan,    nan, 23.686, ..., 23.119, 23.119, 22.971],\n",
-       "        [   nan,    nan, 23.686, ..., 23.119, 23.119, 22.971],\n",
-       "        [   nan,    nan, 23.807, ..., 23.355, 23.355, 23.277]],\n",
+       "        [   nan,    nan, 20.362, ..., 21.156, 21.156, 20.842],\n",
+       "        [   nan,    nan, 20.362, ..., 21.156, 21.156, 20.842],\n",
+       "        [   nan,    nan, 19.931, ..., 20.843, 20.843, 20.56 ]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 26.345, ..., 25.939, 25.939, 25.973],\n",
+       "        [   nan,    nan, 20.752, ..., 20.819, 20.819, 20.767],\n",
        "        ...,\n",
        "...\n",
-       "        [   nan,    nan, 22.52 , ..., 21.102, 21.102, 21.082],\n",
-       "        [   nan,    nan, 22.52 , ..., 21.102, 21.102, 21.082],\n",
-       "        [   nan,    nan, 22.62 , ..., 21.146, 21.146, 21.228]],\n",
+       "        [   nan,    nan, 17.814, ..., 16.486, 16.486, 16.276],\n",
+       "        [   nan,    nan, 17.814, ..., 16.486, 16.486, 16.276],\n",
+       "        [   nan,    nan, 16.331, ..., 17.118, 17.118, 16.928]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 20.461, ..., 20.745, 20.745, 20.71 ],\n",
+       "        [   nan,    nan, 21.645, ..., 22.717, 22.717, 22.803],\n",
        "        ...,\n",
-       "        [   nan,    nan, 22.881, ..., 21.976, 21.976, 21.92 ],\n",
-       "        [   nan,    nan, 22.881, ..., 21.976, 21.976, 21.92 ],\n",
-       "        [   nan,    nan, 22.924, ..., 22.071, 22.071, 22.051]],\n",
+       "        [   nan,    nan, 12.597, ..., 17.885, 17.885, 17.9  ],\n",
+       "        [   nan,    nan, 12.597, ..., 17.885, 17.885, 17.9  ],\n",
+       "        [   nan,    nan, 12.809, ..., 17.951, 17.951, 17.849]],\n",
        "\n",
        "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
        "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
-       "        [   nan,    nan, 20.574, ..., 20.816, 20.816, 20.781],\n",
+       "        [   nan,    nan, 23.475, ..., 22.42 , 22.42 , 22.098],\n",
        "        ...,\n",
-       "        [   nan,    nan, 22.234, ..., 22.224, 22.224, 22.172],\n",
-       "        [   nan,    nan, 22.234, ..., 22.224, 22.224, 22.172],\n",
-       "        [   nan,    nan, 22.478, ..., 22.384, 22.384, 22.367]]],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profRu</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.15e+03 1.15e+03 ... 1.5e+03</div><input id='attrs-ac456b55-ad2a-4840-b204-f9e8b4d48dfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac456b55-ad2a-4840-b204-f9e8b4d48dfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de14de5f-6b3d-4a8a-aacf-c0a11ba85002' class='xr-var-data-in' type='checkbox'><label for='data-de14de5f-6b3d-4a8a-aacf-c0a11ba85002' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil root zone depth (mm) adapted from Africa SoilGrids RZD</dd></dl></div><div class='xr-var-data'><pre>array([[1150., 1150.,  400., ..., 1150., 1150., 1500.],\n",
+       "        [   nan,    nan, 20.106, ..., 18.711, 18.711, 18.234],\n",
+       "        [   nan,    nan, 20.106, ..., 18.711, 18.711, 18.234],\n",
+       "        [   nan,    nan, 19.794, ..., 18.815, 18.815, 18.292]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profRu</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.15e+03 1.15e+03 ... 1.5e+03</div><input id='attrs-e9e43b7c-757b-4a46-976c-af2b88c86b42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9e43b7c-757b-4a46-976c-af2b88c86b42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0dd1f1-df95-490a-b203-a4b07d944534' class='xr-var-data-in' type='checkbox'><label for='data-9d0dd1f1-df95-490a-b203-a4b07d944534' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil root zone depth (mm) adapted from Africa SoilGrids RZD</dd></dl></div><div class='xr-var-data'><pre>array([[1150., 1150.,  400., ..., 1150., 1150., 1500.],\n",
        "       [ 750.,  750.,  600., ..., 1500., 1500., 1500.],\n",
        "       [ 400.,  750., 1150., ..., 1500., 1500., 1500.],\n",
        "       ...,\n",
        "       [  10.,   10.,   10., ..., 1500., 1500., 1500.],\n",
        "       [  10., 1500., 1500., ..., 1500., 1500., 1500.],\n",
-       "       [1420.,   10., 1500., ..., 1150., 1500., 1500.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epaisseurSurf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 200.0 ... 200.0 200.0</div><input id='attrs-89f992bc-8d85-4906-920c-c1ddd0dd8a76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89f992bc-8d85-4906-920c-c1ddd0dd8a76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2fc0110-20fd-4b4f-9faf-028ac9bf171a' class='xr-var-data-in' type='checkbox'><label for='data-e2fc0110-20fd-4b4f-9faf-028ac9bf171a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil surface reservoir depth (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[200., 200., 200., ..., 200., 200., 200.],\n",
+       "       [1420.,   10., 1500., ..., 1150., 1500., 1500.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epaisseurSurf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 200.0 ... 200.0 200.0</div><input id='attrs-16bc865a-5d02-49bd-b2ee-8eeebf679018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16bc865a-5d02-49bd-b2ee-8eeebf679018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-823258cd-7b87-4f53-8a33-30a03db8e043' class='xr-var-data-in' type='checkbox'><label for='data-823258cd-7b87-4f53-8a33-30a03db8e043' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil surface reservoir depth (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[200., 200., 200., ..., 200., 200., 200.],\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
        "       ...,\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
        "       [200., 200., 200., ..., 200., 200., 200.],\n",
-       "       [200., 200., 200., ..., 200., 200., 200.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stockIniProf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-343e0ee1-9dce-4c4d-933e-eb7ad68e74e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-343e0ee1-9dce-4c4d-933e-eb7ad68e74e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d78c9f0-4746-40db-8f58-10bb5dbd0292' class='xr-var-data-in' type='checkbox'><label for='data-3d78c9f0-4746-40db-8f58-10bb5dbd0292' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Initial water stock in the deep surface reservoir (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [200., 200., 200., ..., 200., 200., 200.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stockIniProf</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-90f9b42d-9a97-497c-aee1-664a4648d473' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90f9b42d-9a97-497c-aee1-664a4648d473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e495a246-b9aa-41fe-814b-57a086ad5ecc' class='xr-var-data-in' type='checkbox'><label for='data-e495a246-b9aa-41fe-814b-57a086ad5ecc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Initial water stock in the deep surface reservoir (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_type</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.0 9.0 9.0 9.0 ... 6.0 6.0 6.0 6.0</div><input id='attrs-7e254f40-00ed-4830-9d3c-4a7ef1d5dc00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e254f40-00ed-4830-9d3c-4a7ef1d5dc00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dd172cd-ff67-4162-b57d-23acc3f6c7bc' class='xr-var-data-in' type='checkbox'><label for='data-7dd172cd-ff67-4162-b57d-23acc3f6c7bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 9.,  9.,  9., ...,  9.,  9.,  9.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>soil_type</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.0 9.0 9.0 9.0 ... 6.0 6.0 6.0 6.0</div><input id='attrs-bdd493b5-f82e-4ecb-b198-3b0733c45300' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bdd493b5-f82e-4ecb-b198-3b0733c45300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f38a7263-fdaf-496a-b9e7-70d1a384f905' class='xr-var-data-in' type='checkbox'><label for='data-f38a7263-fdaf-496a-b9e7-70d1a384f905' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 9.,  9.,  9., ...,  9.,  9.,  9.],\n",
        "       [ 9., 11.,  9., ...,  9.,  9.,  9.],\n",
        "       [ 9.,  9.,  9., ...,  9.,  9.,  9.],\n",
        "       ...,\n",
        "       [ 1.,  1.,  1., ...,  6.,  6.,  6.],\n",
        "       [ 1.,  4.,  4., ...,  6.,  6.,  6.],\n",
-       "       [ 4.,  4.,  4., ...,  6.,  6.,  6.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_threshold</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.0 18.0 18.0 ... 15.0 15.0 15.0</div><input id='attrs-8174442e-2c5f-44aa-9933-5faf73ba224a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8174442e-2c5f-44aa-9933-5faf73ba224a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d565f770-da5d-4d82-9db3-26c6c820ac81' class='xr-var-data-in' type='checkbox'><label for='data-d565f770-da5d-4d82-9db3-26c6c820ac81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18., 18., 18., ..., 18., 18., 18.],\n",
+       "       [ 4.,  4.,  4., ...,  6.,  6.,  6.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_threshold</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.0 18.0 18.0 ... 15.0 15.0 15.0</div><input id='attrs-9ed81a7e-ef0b-49f5-a56f-5eb64936f7cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ed81a7e-ef0b-49f5-a56f-5eb64936f7cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7763a36-e113-4874-8c4e-684171e3a9d5' class='xr-var-data-in' type='checkbox'><label for='data-d7763a36-e113-4874-8c4e-684171e3a9d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[18., 18., 18., ..., 18., 18., 18.],\n",
        "       [18., 20., 18., ..., 18., 18., 18.],\n",
        "       [18., 18., 18., ..., 18., 18., 18.],\n",
        "       ...,\n",
        "       [10., 10., 10., ..., 15., 15., 15.],\n",
        "       [10., 12., 12., ..., 15., 15., 15.],\n",
-       "       [12., 12., 12., ..., 15., 15., 15.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_rate</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.32 0.32 0.32 ... 0.35 0.35 0.35</div><input id='attrs-87a6628c-90dc-4f11-8f2e-90104d97ff9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87a6628c-90dc-4f11-8f2e-90104d97ff9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9d11d90-1beb-4316-a1d2-4cd19d6c41d3' class='xr-var-data-in' type='checkbox'><label for='data-b9d11d90-1beb-4316-a1d2-4cd19d6c41d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32, 0.32, 0.32, ..., 0.32, 0.32, 0.32],\n",
+       "       [12., 12., 12., ..., 15., 15., 15.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff_rate</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.32 0.32 0.32 ... 0.35 0.35 0.35</div><input id='attrs-cf0765fd-158d-4cd5-8b4b-b0a8a1e7ec4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cf0765fd-158d-4cd5-8b4b-b0a8a1e7ec4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ebb9e46-485e-4c63-99c3-9de9684a9c89' class='xr-var-data-in' type='checkbox'><label for='data-7ebb9e46-485e-4c63-99c3-9de9684a9c89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32, 0.32, 0.32, ..., 0.32, 0.32, 0.32],\n",
        "       [0.32, 0.27, 0.32, ..., 0.32, 0.32, 0.32],\n",
        "       [0.32, 0.32, 0.32, ..., 0.32, 0.32, 0.32],\n",
        "       ...,\n",
        "       [0.4 , 0.4 , 0.4 , ..., 0.35, 0.35, 0.35],\n",
        "       [0.4 , 0.36, 0.36, ..., 0.35, 0.35, 0.35],\n",
-       "       [0.36, 0.36, 0.36, ..., 0.35, 0.35, 0.35]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RZPAWC</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>74.0 76.0 24.0 ... 149.0 145.0</div><input id='attrs-78c71680-99e2-4210-8561-f8e60dc367b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78c71680-99e2-4210-8561-f8e60dc367b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e875a41-0b2f-4e1d-a463-637c49e89257' class='xr-var-data-in' type='checkbox'><label for='data-3e875a41-0b2f-4e1d-a463-637c49e89257' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Root zone plant available water capacity (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[ 74.,  76.,  24., ...,  83.,  78.,  93.],\n",
+       "       [0.36, 0.36, 0.36, ..., 0.35, 0.35, 0.35]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RZPAWC</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>74.0 76.0 24.0 ... 149.0 145.0</div><input id='attrs-5b4884de-00c8-4057-ba1b-d3d7d34fa522' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b4884de-00c8-4057-ba1b-d3d7d34fa522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60742af0-0d8a-42a0-822c-c21fd0eea377' class='xr-var-data-in' type='checkbox'><label for='data-60742af0-0d8a-42a0-822c-c21fd0eea377' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Root zone plant available water capacity (mm)</dd></dl></div><div class='xr-var-data'><pre>array([[ 74.,  76.,  24., ...,  83.,  78.,  93.],\n",
        "       [ 49.,  44.,  41., ..., 103., 116., 110.],\n",
        "       [ 28.,  40.,  68., ..., 105., 112.,  99.],\n",
        "       ...,\n",
        "       [  0.,   0.,   1., ..., 153., 141., 127.],\n",
        "       [  0., 110., 128., ..., 140., 151., 143.],\n",
-       "       [102.,   0., 127., ..., 110., 149., 145.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ru</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>64.35 66.09 60.0 ... 99.33 96.67</div><input id='attrs-369232f7-9482-4d00-aae7-094e5560dca9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-369232f7-9482-4d00-aae7-094e5560dca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55f244c4-c941-4c10-b7c2-5f7212704e93' class='xr-var-data-in' type='checkbox'><label for='data-55f244c4-c941-4c10-b7c2-5f7212704e93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 64.347824,  66.08696 ,  60.      , ...,  72.17391 ,  67.82609 ,\n",
+       "       [102.,   0., 127., ..., 110., 149., 145.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ru</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>64.35 66.09 60.0 ... 99.33 96.67</div><input id='attrs-90655db8-c22d-4106-b405-8d3e36a8026a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90655db8-c22d-4106-b405-8d3e36a8026a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85440760-fc6a-457b-b464-82f6832b5919' class='xr-var-data-in' type='checkbox'><label for='data-85440760-fc6a-457b-b464-82f6832b5919' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 64.347824,  66.08696 ,  60.      , ...,  72.17391 ,  67.82609 ,\n",
        "         62.      ],\n",
        "       [ 65.333336,  58.666668,  68.33333 , ...,  68.666664,  77.333336,\n",
        "         73.333336],\n",
@@ -1657,7 +1655,7 @@
        "       [  0.      ,  73.333336,  85.333336, ...,  93.333336, 100.666664,\n",
        "         95.333336],\n",
        "       [ 71.830986,   0.      ,  84.666664, ...,  95.652176,  99.333336,\n",
-       "         96.666664]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dureeDuJour</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.26 12.26 12.26 ... 11.79 11.79</div><input id='attrs-5cf81e7d-5fc4-40a7-82c0-ff9038c832ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5cf81e7d-5fc4-40a7-82c0-ff9038c832ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6c8bac9-2aa7-44be-a512-0e27b83b97dc' class='xr-var-data-in' type='checkbox'><label for='data-a6c8bac9-2aa7-44be-a512-0e27b83b97dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[12.25888889, 12.25888889, 12.25888889, ..., 12.25888889,\n",
+       "         96.666664]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dureeDuJour</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.26 12.26 12.26 ... 11.79 11.79</div><input id='attrs-4a20b721-d059-4b1d-abc8-e57daa41db4e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a20b721-d059-4b1d-abc8-e57daa41db4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3325efea-6f77-481c-89cd-71eb655e22a0' class='xr-var-data-in' type='checkbox'><label for='data-3325efea-6f77-481c-89cd-71eb655e22a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[12.25888889, 12.25888889, 12.25888889, ..., 12.25888889,\n",
        "         12.25888889, 12.25888889],\n",
        "        [12.25805556, 12.25805556, 12.25805556, ..., 12.25805556,\n",
        "         12.25805556, 12.25805556],\n",
@@ -1697,7 +1695,7 @@
        "        [11.78888889, 11.78888889, 11.78888889, ..., 11.78888889,\n",
        "         11.78888889, 11.78888889],\n",
        "        [11.79194444, 11.79194444, 11.79194444, ..., 11.79194444,\n",
-       "         11.79194444, 11.79194444]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sowing_date</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>30 30 30 30 30 ... 30 30 30 30 30</div><input id='attrs-fdb938ef-7f12-4013-9571-2e03785ba870' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fdb938ef-7f12-4013-9571-2e03785ba870' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3026793d-2951-4fb1-9b6c-5a165b492411' class='xr-var-data-in' type='checkbox'><label for='data-3026793d-2951-4fb1-9b6c-5a165b492411' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[30, 30, 30, ..., 30, 30, 30],\n",
+       "         11.79194444, 11.79194444]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sowing_date</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>30 30 30 30 30 ... 30 30 30 30 30</div><input id='attrs-5381c6d2-dd26-4f8c-baaf-69523b25f761' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5381c6d2-dd26-4f8c-baaf-69523b25f761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1da4f246-dcc1-4ffd-8a62-1e827c089c02' class='xr-var-data-in' type='checkbox'><label for='data-1da4f246-dcc1-4ffd-8a62-1e827c089c02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[30, 30, 30, ..., 30, 30, 30],\n",
        "        [30, 30, 30, ..., 30, 30, 30],\n",
        "        [30, 30, 30, ..., 30, 30, 30],\n",
        "        ...,\n",
@@ -1737,7 +1735,7 @@
        "        ...,\n",
        "        [30, 30, 30, ..., 30, 30, 30],\n",
        "        [30, 30, 30, ..., 30, 30, 30],\n",
-       "        [30, 30, 30, ..., 30, 30, 30]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigAuto</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-c46ed5ec-d48a-4b9b-a701-7c3fc7de4976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c46ed5ec-d48a-4b9b-a701-7c3fc7de4976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f649781-9f94-428f-b828-c480c75b739a' class='xr-var-data-in' type='checkbox'><label for='data-4f649781-9f94-428f-b828-c480c75b739a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>automatic irrigation indicator</dd></dl></div><div class='xr-var-data'><pre>array([[[False, False, False, ..., False, False, False],\n",
+       "        [30, 30, 30, ..., 30, 30, 30]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigAuto</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-e7079403-210f-413a-af9b-4f665086eca2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7079403-210f-413a-af9b-4f665086eca2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-095bd060-3fab-4436-8a4b-1ecaa2752d70' class='xr-var-data-in' type='checkbox'><label for='data-095bd060-3fab-4436-8a4b-1ecaa2752d70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>automatic irrigation indicator</dd></dl></div><div class='xr-var-data'><pre>array([[[False, False, False, ..., False, False, False],\n",
        "        [False, False, False, ..., False, False, False],\n",
        "        [False, False, False, ..., False, False, False],\n",
        "        ...,\n",
@@ -1777,7 +1775,7 @@
        "        ...,\n",
        "        [False, False, False, ..., False, False, False],\n",
        "        [False, False, False, ..., False, False, False],\n",
-       "        [False, False, False, ..., False, False, False]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomMc</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-17486790-23f1-4364-ac5e-63fd983680c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17486790-23f1-4364-ac5e-63fd983680c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84ec649e-2db7-4348-bf4d-64d488cf24e8' class='xr-var-data-in' type='checkbox'><label for='data-84ec649e-2db7-4348-bf4d-64d488cf24e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>Initial biomass of crop residues (mulch)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [False, False, False, ..., False, False, False]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomMc</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4f57a2ca-75ef-4d3f-a117-c92699880664' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f57a2ca-75ef-4d3f-a117-c92699880664' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-527d5648-7cfc-41ed-9bb4-9ea7fc52bb9f' class='xr-var-data-in' type='checkbox'><label for='data-527d5648-7cfc-41ed-9bb4-9ea7fc52bb9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>Initial biomass of crop residues (mulch)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -1817,7 +1815,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ltr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-02d01bd1-755c-4d85-b47f-b1fc4179ca6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02d01bd1-755c-4d85-b47f-b1fc4179ca6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fc6b86e-eb9a-4f04-95c1-cbb1c364fe3a' class='xr-var-data-in' type='checkbox'><label for='data-8fc6b86e-eb9a-4f04-95c1-cbb1c364fe3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1., 1., 1., ..., 1., 1., 1.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ltr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-c1c0526c-bf6e-4a21-9940-6f148b37befe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1c0526c-bf6e-4a21-9940-6f148b37befe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6db1829f-42d7-465b-a476-c07f9ad0d6ea' class='xr-var-data-in' type='checkbox'><label for='data-6db1829f-42d7-465b-a476-c07f9ad0d6ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1., 1., 1., ..., 1., 1., 1.],\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
        "        ...,\n",
@@ -1857,7 +1855,7 @@
        "        ...,\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
-       "        [1., 1., 1., ..., 1., 1., 1.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LitTige</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-92eaf870-5759-4c81-aacb-0a4974466bc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92eaf870-5759-4c81-aacb-0a4974466bc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a83f43-ee76-4f81-a09a-cfde672c9ae7' class='xr-var-data-in' type='checkbox'><label for='data-71a83f43-ee76-4f81-a09a-cfde672c9ae7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>Initial biomass of stem residues as litter</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [1., 1., 1., ..., 1., 1., 1.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LitTige</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ddd8565a-83eb-4afb-8680-eb052ecff825' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddd8565a-83eb-4afb-8680-eb052ecff825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f439870-d0ed-4ab8-8678-3e95f280ec1b' class='xr-var-data-in' type='checkbox'><label for='data-3f439870-d0ed-4ab8-8678-3e95f280ec1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>Initial biomass of stem residues as litter</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -1897,7 +1895,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>root_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f3d53772-8238-442b-af94-ef32bf69103d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3d53772-8238-442b-af94-ef32bf69103d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9db3471d-2da1-4459-9bc2-d225cee10712' class='xr-var-data-in' type='checkbox'><label for='data-9db3471d-2da1-4459-9bc2-d225cee10712' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil maximum water storage capacity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>root_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bbdf669f-7891-41e2-9786-cd7d0471aabc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbdf669f-7891-41e2-9786-cd7d0471aabc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a24e3945-e675-419c-be88-8ec765a79bb4' class='xr-var-data-in' type='checkbox'><label for='data-a24e3945-e675-419c-be88-8ec765a79bb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Soil maximum water storage capacity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -1937,7 +1935,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_tank_capacity</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.87 13.22 12.0 ... 19.87 19.33</div><input id='attrs-6b3b1771-016d-42b8-87ef-3f9d9910d987' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b3b1771-016d-42b8-87ef-3f9d9910d987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bf554b0-d140-47a6-b1cd-224026194cb3' class='xr-var-data-in' type='checkbox'><label for='data-1bf554b0-d140-47a6-b1cd-224026194cb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Maximum water capacity of surface tank</dd></dl></div><div class='xr-var-data'><pre>array([[12.869565, 13.217392, 12.      , ..., 14.434783, 13.565218,\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_tank_capacity</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.87 13.22 12.0 ... 19.87 19.33</div><input id='attrs-30534ae3-4acf-4701-85a3-af323f933d17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30534ae3-4acf-4701-85a3-af323f933d17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1a9c034-7e49-45d1-ad0f-3b49b74fdc55' class='xr-var-data-in' type='checkbox'><label for='data-d1a9c034-7e49-45d1-ad0f-3b49b74fdc55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Maximum water capacity of surface tank</dd></dl></div><div class='xr-var-data'><pre>array([[12.869565, 13.217392, 12.      , ..., 14.434783, 13.565218,\n",
        "        12.400001],\n",
        "       [13.066668, 11.733334, 13.666666, ..., 13.733333, 15.466667,\n",
        "        14.666667],\n",
@@ -1949,7 +1947,7 @@
        "       [ 0.      , 14.666667, 17.066668, ..., 18.666668, 20.133333,\n",
        "        19.066668],\n",
        "       [14.366198,  0.      , 16.933332, ..., 19.130436, 19.866667,\n",
-       "        19.333334]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-345e11c1-9898-40b9-a902-e281bd1cbf65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-345e11c1-9898-40b9-a902-e281bd1cbf65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b17a6de9-83f9-4d09-9164-78e2ac89504b' class='xr-var-data-in' type='checkbox'><label for='data-b17a6de9-83f9-4d09-9164-78e2ac89504b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>?</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        19.333334]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4de4efd6-ce92-404f-b713-14837546a919' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4de4efd6-ce92-404f-b713-14837546a919' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfba29dc-0f2b-4908-b7f4-91e41131f7bf' class='xr-var-data-in' type='checkbox'><label for='data-bfba29dc-0f2b-4908-b7f4-91e41131f7bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>?</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -1989,7 +1987,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>humectation_front</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.87 13.22 12.0 ... 19.87 19.33</div><input id='attrs-ec632db9-0b3e-4a3a-ac8a-cbff975a14b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec632db9-0b3e-4a3a-ac8a-cbff975a14b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a5f1f6-8b21-4a24-9c36-3098a3ebe90f' class='xr-var-data-in' type='checkbox'><label for='data-95a5f1f6-8b21-4a24-9c36-3098a3ebe90f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Maximum water capacity to humectation front</dd></dl></div><div class='xr-var-data'><pre>array([[[12.869565, 13.217392, 12.      , ..., 14.434783, 13.565218,\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>humectation_front</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.87 13.22 12.0 ... 19.87 19.33</div><input id='attrs-aacdf916-06a6-4cbf-a14c-a9e2b68c7920' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aacdf916-06a6-4cbf-a14c-a9e2b68c7920' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c1d164d-c3f3-4010-ab54-81eb05dc8676' class='xr-var-data-in' type='checkbox'><label for='data-2c1d164d-c3f3-4010-ab54-81eb05dc8676' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Maximum water capacity to humectation front</dd></dl></div><div class='xr-var-data'><pre>array([[[12.869565, 13.217392, 12.      , ..., 14.434783, 13.565218,\n",
        "         12.400001],\n",
        "        [13.066668, 11.733334, 13.666666, ..., 13.733333, 15.466667,\n",
        "         14.666667],\n",
@@ -2029,7 +2027,7 @@
        "        [ 0.      , 14.666667, 17.066668, ..., 18.666668, 20.133333,\n",
        "         19.066668],\n",
        "        [14.366198,  0.      , 16.933332, ..., 19.130436, 19.866667,\n",
-       "         19.333334]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_humectation_front</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.87 13.22 12.0 ... 19.87 19.33</div><input id='attrs-6c30e80d-e7c5-49dc-8bb9-a75a5a883497' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c30e80d-e7c5-49dc-8bb9-a75a5a883497' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a32a2b16-d9e9-41ae-a874-afe33fd0a160' class='xr-var-data-in' type='checkbox'><label for='data-a32a2b16-d9e9-41ae-a874-afe33fd0a160' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Maximum water capacity to humectation front</dd></dl></div><div class='xr-var-data'><pre>array([[[12.869565, 13.217392, 12.      , ..., 14.434783, 13.565218,\n",
+       "         19.333334]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_humectation_front</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>12.87 13.22 12.0 ... 19.87 19.33</div><input id='attrs-61223242-eb58-45b1-b6c1-c2703f0a1744' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61223242-eb58-45b1-b6c1-c2703f0a1744' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0feab150-b74b-413c-ab9b-af9c6b56e80b' class='xr-var-data-in' type='checkbox'><label for='data-0feab150-b74b-413c-ab9b-af9c6b56e80b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Maximum water capacity to humectation front</dd></dl></div><div class='xr-var-data'><pre>array([[[12.869565, 13.217392, 12.      , ..., 14.434783, 13.565218,\n",
        "         12.400001],\n",
        "        [13.066668, 11.733334, 13.666666, ..., 13.733333, 15.466667,\n",
        "         14.666667],\n",
@@ -2069,7 +2067,7 @@
        "        [ 0.      , 14.666667, 17.066668, ..., 18.666668, 20.133333,\n",
        "         19.066668],\n",
        "        [14.366198,  0.      , 16.933332, ..., 19.130436, 19.866667,\n",
-       "         19.333334]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_total_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-593d2984-dff2-4644-a01c-dfafce4a7c08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-593d2984-dff2-4644-a01c-dfafce4a7c08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a684d90c-0e6d-423c-82d7-e2a6265fd289' class='xr-var-data-in' type='checkbox'><label for='data-a684d90c-0e6d-423c-82d7-e2a6265fd289' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>?</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "         19.333334]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_total_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bc8289fa-7ff5-4ae2-8bb0-d1b6b877dbd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc8289fa-7ff5-4ae2-8bb0-d1b6b877dbd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2069cd3-975b-4a98-82db-af605d09354b' class='xr-var-data-in' type='checkbox'><label for='data-e2069cd3-975b-4a98-82db-af605d09354b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>?</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2109,47 +2107,47 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>par</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 11.19 11.19 11.18</div><input id='attrs-67e470f0-89f2-4f55-9f01-ec131a8d9f06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67e470f0-89f2-4f55-9f01-ec131a8d9f06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7ac5526-e22f-4212-a423-c39a0b573703' class='xr-var-data-in' type='checkbox'><label for='data-b7ac5526-e22f-4212-a423-c39a0b573703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>MJ/m2</dd><dt><span>long_name :</span></dt><dd>par</dd></dl></div><div class='xr-var-data'><pre>array([[[    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>par</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 9.408 9.408 9.146</div><input id='attrs-296bdf29-6f4e-4140-a605-9a8bbfd49116' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-296bdf29-6f4e-4140-a605-9a8bbfd49116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-019ddb6f-3855-406b-b666-7b0d8e1cf617' class='xr-var-data-in' type='checkbox'><label for='data-019ddb6f-3855-406b-b666-7b0d8e1cf617' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>MJ/m2</dd><dt><span>long_name :</span></dt><dd>par</dd></dl></div><div class='xr-var-data'><pre>array([[[    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
        "        [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
-       "        [    nan,     nan, 12.2475, ..., 13.061 , 13.061 , 13.0935],\n",
+       "        [    nan,     nan, 10.4775, ..., 10.4385, 10.4385, 10.428 ],\n",
        "        ...,\n",
-       "        [    nan,     nan, 10.417 , ..., 11.4085, 11.4085, 11.4155],\n",
-       "        [    nan,     nan, 10.417 , ..., 11.4085, 11.4085, 11.4155],\n",
-       "        [    nan,     nan, 10.3005, ..., 11.371 , 11.371 , 11.358 ]],\n",
+       "        [    nan,     nan, 11.2835, ..., 10.69  , 10.69  , 10.6765],\n",
+       "        [    nan,     nan, 11.2835, ..., 10.69  , 10.69  , 10.6765],\n",
+       "        [    nan,     nan, 11.1975, ..., 10.917 , 10.917 , 10.9235]],\n",
        "\n",
        "       [[    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
        "        [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
-       "        [    nan,     nan, 12.329 , ..., 12.163 , 12.163 , 12.205 ],\n",
+       "        [    nan,     nan, 10.451 , ..., 10.5275, 10.5275, 10.5205],\n",
        "        ...,\n",
-       "        [    nan,     nan, 11.843 , ..., 11.5595, 11.5595, 11.4855],\n",
-       "        [    nan,     nan, 11.843 , ..., 11.5595, 11.5595, 11.4855],\n",
-       "        [    nan,     nan, 11.9035, ..., 11.6775, 11.6775, 11.6385]],\n",
+       "        [    nan,     nan, 10.181 , ..., 10.578 , 10.578 , 10.421 ],\n",
+       "        [    nan,     nan, 10.181 , ..., 10.578 , 10.578 , 10.421 ],\n",
+       "        [    nan,     nan,  9.9655, ..., 10.4215, 10.4215, 10.28  ]],\n",
        "\n",
        "       [[    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
        "        [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
-       "        [    nan,     nan, 13.1725, ..., 12.9695, 12.9695, 12.9865],\n",
+       "        [    nan,     nan, 10.376 , ..., 10.4095, 10.4095, 10.3835],\n",
        "        ...,\n",
        "...\n",
-       "        [    nan,     nan, 11.26  , ..., 10.551 , 10.551 , 10.541 ],\n",
-       "        [    nan,     nan, 11.26  , ..., 10.551 , 10.551 , 10.541 ],\n",
-       "        [    nan,     nan, 11.31  , ..., 10.573 , 10.573 , 10.614 ]],\n",
+       "        [    nan,     nan,  8.907 , ...,  8.243 ,  8.243 ,  8.138 ],\n",
+       "        [    nan,     nan,  8.907 , ...,  8.243 ,  8.243 ,  8.138 ],\n",
+       "        [    nan,     nan,  8.1655, ...,  8.559 ,  8.559 ,  8.464 ]],\n",
        "\n",
        "       [[    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
        "        [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
-       "        [    nan,     nan, 10.2305, ..., 10.3725, 10.3725, 10.355 ],\n",
+       "        [    nan,     nan, 10.8225, ..., 11.3585, 11.3585, 11.4015],\n",
        "        ...,\n",
-       "        [    nan,     nan, 11.4405, ..., 10.988 , 10.988 , 10.96  ],\n",
-       "        [    nan,     nan, 11.4405, ..., 10.988 , 10.988 , 10.96  ],\n",
-       "        [    nan,     nan, 11.462 , ..., 11.0355, 11.0355, 11.0255]],\n",
+       "        [    nan,     nan,  6.2985, ...,  8.9425,  8.9425,  8.95  ],\n",
+       "        [    nan,     nan,  6.2985, ...,  8.9425,  8.9425,  8.95  ],\n",
+       "        [    nan,     nan,  6.4045, ...,  8.9755,  8.9755,  8.9245]],\n",
        "\n",
        "       [[    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
        "        [    nan,     nan,     nan, ...,     nan,     nan,     nan],\n",
-       "        [    nan,     nan, 10.287 , ..., 10.408 , 10.408 , 10.3905],\n",
+       "        [    nan,     nan, 11.7375, ..., 11.21  , 11.21  , 11.049 ],\n",
        "        ...,\n",
-       "        [    nan,     nan, 11.117 , ..., 11.112 , 11.112 , 11.086 ],\n",
-       "        [    nan,     nan, 11.117 , ..., 11.112 , 11.112 , 11.086 ],\n",
-       "        [    nan,     nan, 11.239 , ..., 11.192 , 11.192 , 11.1835]]],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rapDensite</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-334ab635-bf31-4bce-8c76-836b1fa05887' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-334ab635-bf31-4bce-8c76-836b1fa05887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb60838c-ef0d-4d8c-82ab-f3a26be5ae07' class='xr-var-data-in' type='checkbox'><label for='data-eb60838c-ef0d-4d8c-82ab-f3a26be5ae07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>sowing density adjustement factor</dd></dl></div><div class='xr-var-data'><pre>array([[[1., 1., 1., ..., 1., 1., 1.],\n",
+       "        [    nan,     nan, 10.053 , ...,  9.3555,  9.3555,  9.117 ],\n",
+       "        [    nan,     nan, 10.053 , ...,  9.3555,  9.3555,  9.117 ],\n",
+       "        [    nan,     nan,  9.897 , ...,  9.4075,  9.4075,  9.146 ]]],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rapDensite</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0</div><input id='attrs-5d67c631-3331-41d9-b27f-da2143ac35cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d67c631-3331-41d9-b27f-da2143ac35cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f814ce8-a5f7-400b-bd27-98669ea6d90a' class='xr-var-data-in' type='checkbox'><label for='data-4f814ce8-a5f7-400b-bd27-98669ea6d90a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>sowing density adjustement factor</dd></dl></div><div class='xr-var-data'><pre>array([[[1., 1., 1., ..., 1., 1., 1.],\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
        "        ...,\n",
@@ -2189,47 +2187,47 @@
        "        ...,\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
        "        [1., 1., 1., ..., 1., 1., 1.],\n",
-       "        [1., 1., 1., ..., 1., 1., 1.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ddj</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 15.06 15.06 14.87</div><input id='attrs-9ae59a77-b8a9-4b99-9bab-d72a7e01a39e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ae59a77-b8a9-4b99-9bab-d72a7e01a39e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bec704f2-149c-4c70-8085-c755112972a1' class='xr-var-data-in' type='checkbox'><label for='data-bec704f2-149c-4c70-8085-c755112972a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>daily thermal time</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
+       "        [1., 1., 1., ..., 1., 1., 1.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ddj</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan ... 12.14 12.14 12.08</div><input id='attrs-d3f44f91-eb20-43ee-98d3-f91a9d86fabc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3f44f91-eb20-43ee-98d3-f91a9d86fabc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f061d00-90cb-4d7f-bd2f-217478ceede1' class='xr-var-data-in' type='checkbox'><label for='data-6f061d00-90cb-4d7f-bd2f-217478ceede1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>daily thermal time</dd></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
        "        [       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
-       "        [       nan,        nan, 21.       , ..., 21.       ,\n",
-       "         21.       , 21.       ],\n",
+       "        [       nan,        nan,  6.2134094, ...,  8.194458 ,\n",
+       "          8.194458 ,  8.178284 ],\n",
        "        ...,\n",
-       "        [       nan,        nan, 11.381714 , ..., 15.853485 ,\n",
-       "         15.853485 , 16.141388 ],\n",
-       "        [       nan,        nan, 11.381714 , ..., 15.853485 ,\n",
-       "         15.853485 , 16.141388 ],\n",
-       "        [       nan,        nan, 11.23587  , ..., 16.031311 ,\n",
-       "         16.031311 , 16.048248 ]],\n",
+       "        [       nan,        nan, 11.660767 , ..., 13.170044 ,\n",
+       "         13.170044 , 13.228119 ],\n",
+       "        [       nan,        nan, 11.660767 , ..., 13.170044 ,\n",
+       "         13.170044 , 13.228119 ],\n",
+       "        [       nan,        nan, 11.687927 , ..., 13.857971 ,\n",
+       "         13.857971 , 13.639679 ]],\n",
        "\n",
        "       [[       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
        "        [       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
-       "        [       nan,        nan, 21.       , ..., 21.       ,\n",
-       "         21.       , 21.       ],\n",
+       "        [       nan,        nan,  2.9718628, ...,  5.7868958,\n",
+       "          5.7868958,  5.8020325],\n",
        "...\n",
-       "        [       nan,        nan, 11.546112 , ..., 14.1180725,\n",
-       "         14.1180725, 14.205597 ],\n",
-       "        [       nan,        nan, 11.546112 , ..., 14.1180725,\n",
-       "         14.1180725, 14.205597 ],\n",
-       "        [       nan,        nan, 11.442444 , ..., 14.658813 ,\n",
-       "         14.658813 , 14.469757 ]],\n",
+       "        [       nan,        nan,  8.583923 , ..., 12.47467  ,\n",
+       "         12.47467  , 12.54306  ],\n",
+       "        [       nan,        nan,  8.583923 , ..., 12.47467  ,\n",
+       "         12.47467  , 12.54306  ],\n",
+       "        [       nan,        nan,  8.497345 , ..., 12.699066 ,\n",
+       "         12.699066 , 12.528259 ]],\n",
        "\n",
        "       [[       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
        "        [       nan,        nan,        nan, ...,        nan,\n",
        "                nan,        nan],\n",
-       "        [       nan,        nan, 10.433044 , ..., 13.670288 ,\n",
-       "         13.670288 , 13.954254 ],\n",
+       "        [       nan,        nan, 16.952637 , ..., 18.420471 ,\n",
+       "         18.420471 , 18.101807 ],\n",
        "        ...,\n",
-       "        [       nan,        nan, 12.099426 , ..., 14.563843 ,\n",
-       "         14.563843 , 14.674408 ],\n",
-       "        [       nan,        nan, 12.099426 , ..., 14.563843 ,\n",
-       "         14.563843 , 14.674408 ],\n",
-       "        [       nan,        nan, 12.031525 , ..., 15.062347 ,\n",
-       "         15.062347 , 14.874359 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sdj</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ee7fc511-d683-431b-81d9-9e19d40fd22c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee7fc511-d683-431b-81d9-9e19d40fd22c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d45d2061-1fd7-493d-84cf-9143247e4c99' class='xr-var-data-in' type='checkbox'><label for='data-d45d2061-1fd7-493d-84cf-9143247e4c99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time since beginning of emergence</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [       nan,        nan,  9.422333 , ..., 11.867798 ,\n",
+       "         11.867798 , 11.974243 ],\n",
+       "        [       nan,        nan,  9.422333 , ..., 11.867798 ,\n",
+       "         11.867798 , 11.974243 ],\n",
+       "        [       nan,        nan,  9.413513 , ..., 12.138489 ,\n",
+       "         12.138489 , 12.076904 ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sdj</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2060abc1-a80a-433d-bc89-ec3b64c97c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2060abc1-a80a-433d-bc89-ec3b64c97c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49e29de5-2b92-4ee8-a32c-28f2360e3177' class='xr-var-data-in' type='checkbox'><label for='data-49e29de5-2b92-4ee8-a32c-28f2360e3177' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time since beginning of emergence</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2269,7 +2267,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>changePhase</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c3490c2e-7820-42f1-b483-d21a5b09ca25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3490c2e-7820-42f1-b483-d21a5b09ca25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dae15d3b-d341-45a3-84f3-b9806c0d8507' class='xr-var-data-in' type='checkbox'><label for='data-dae15d3b-d341-45a3-84f3-b9806c0d8507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>indicator of phase transition day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>changePhase</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-acf32f8f-58e5-4c71-b129-1adf5c3be28d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acf32f8f-58e5-4c71-b129-1adf5c3be28d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e50db66c-3bbb-4b5d-a68e-9c29eadab203' class='xr-var-data-in' type='checkbox'><label for='data-e50db66c-3bbb-4b5d-a68e-9c29eadab203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>indicator of phase transition day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2309,7 +2307,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>numPhase</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5072cac1-8e70-4584-9fe1-f6b81cbd4cd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5072cac1-8e70-4584-9fe1-f6b81cbd4cd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40919f10-16f0-470d-a806-c6b89ca6571a' class='xr-var-data-in' type='checkbox'><label for='data-40919f10-16f0-470d-a806-c6b89ca6571a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbitrary units</dd><dt><span>long_name :</span></dt><dd>number of phenological stage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>numPhase</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-84349f57-045f-4ab6-b2ee-a70801621288' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84349f57-045f-4ab6-b2ee-a70801621288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce34e9e8-30f3-4889-8cfc-3d5ced13a21c' class='xr-var-data-in' type='checkbox'><label for='data-ce34e9e8-30f3-4889-8cfc-3d5ced13a21c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbitrary units</dd><dt><span>long_name :</span></dt><dd>number of phenological stage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2349,7 +2347,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>initPhase</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2b19cb9e-0438-4351-8a14-a7d7312ee09f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b19cb9e-0438-4351-8a14-a7d7312ee09f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6572dea6-5eea-44ca-a567-35b3aed1da66' class='xr-var-data-in' type='checkbox'><label for='data-6572dea6-5eea-44ca-a567-35b3aed1da66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>indicator of performed phase transition</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>initPhase</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-95eb59d1-81d5-4f5d-91d2-4030f6f84ce6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95eb59d1-81d5-4f5d-91d2-4030f6f84ce6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-270f45e4-cac4-4d3e-8b08-e6c46486c839' class='xr-var-data-in' type='checkbox'><label for='data-270f45e4-cac4-4d3e-8b08-e6c46486c839' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>indicator of performed phase transition</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2389,7 +2387,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phasePhotoper</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-43a1c44c-c6cc-46fe-98f4-e90bc30a1fe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43a1c44c-c6cc-46fe-98f4-e90bc30a1fe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06005289-6ace-4b70-86b4-4f69f6b2c504' class='xr-var-data-in' type='checkbox'><label for='data-06005289-6ace-4b70-86b4-4f69f6b2c504' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>photoperiodic phase indicator</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phasePhotoper</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0810dcc3-1bd0-4b48-a7fa-5bf2dd54a043' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0810dcc3-1bd0-4b48-a7fa-5bf2dd54a043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-312d3b79-ab0d-407a-acbe-8ae1c8b80bad' class='xr-var-data-in' type='checkbox'><label for='data-312d3b79-ab0d-407a-acbe-8ae1c8b80bad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>binary</dd><dt><span>long_name :</span></dt><dd>photoperiodic phase indicator</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2429,7 +2427,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>seuilTempPhaseSuivante</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e98c4d86-2cc0-4807-9eb1-8972b06974d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e98c4d86-2cc0-4807-9eb1-8972b06974d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c79c7d70-1afe-4d99-a3e4-befde5ffe4d1' class='xr-var-data-in' type='checkbox'><label for='data-c79c7d70-1afe-4d99-a3e4-befde5ffe4d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time needed to reach the next phenological phase</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>seuilTempPhaseSuivante</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8fe8a928-f0e0-4cd1-867d-e41fe8fff1ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fe8a928-f0e0-4cd1-867d-e41fe8fff1ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70561a84-8a94-457e-b8ab-ce933475f4d4' class='xr-var-data-in' type='checkbox'><label for='data-70561a84-8a94-457e-b8ab-ce933475f4d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time needed to reach the next phenological phase</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2469,7 +2467,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sommeDegresJourPhasePrec</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c1a2d8f1-73c6-4040-9aa3-99690389b425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1a2d8f1-73c6-4040-9aa3-99690389b425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a39c0ff-4421-4d6c-80e5-0b10ab6190cc' class='xr-var-data-in' type='checkbox'><label for='data-0a39c0ff-4421-4d6c-80e5-0b10ab6190cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time needed to reach the previous phenological phase</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sommeDegresJourPhasePrec</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d5f31bf0-6a97-4e0e-afea-c7626bc68458' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5f31bf0-6a97-4e0e-afea-c7626bc68458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c05087d-7ac9-4a5b-b7f5-4426bf95d68b' class='xr-var-data-in' type='checkbox'><label for='data-1c05087d-7ac9-4a5b-b7f5-4426bf95d68b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time needed to reach the previous phenological phase</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2509,7 +2507,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>seuilTempPhasePrec</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-eb38ad61-8a5b-4e57-b4f5-577abaff514a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb38ad61-8a5b-4e57-b4f5-577abaff514a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdcffed9-1399-41f0-b9d6-f97dba540593' class='xr-var-data-in' type='checkbox'><label for='data-fdcffed9-1399-41f0-b9d6-f97dba540593' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time needed to reach the previous phenological phase</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>seuilTempPhasePrec</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a09634f9-52d2-413e-91d6-e9acf894eb3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a09634f9-52d2-413e-91d6-e9acf894eb3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71209f02-fe07-4fa4-a2f0-005291b89cd2' class='xr-var-data-in' type='checkbox'><label for='data-71209f02-fe07-4fa4-a2f0-005291b89cd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>°C.j</dd><dt><span>long_name :</span></dt><dd>sum of thermal time needed to reach the previous phenological phase</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2549,7 +2547,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>assim</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-81de6602-9750-4b75-8cfd-9076a239e4c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81de6602-9750-4b75-8cfd-9076a239e4c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90243547-ab25-4d78-a5fc-3b5b775ebca3' class='xr-var-data-in' type='checkbox'><label for='data-90243547-ab25-4d78-a5fc-3b5b775ebca3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>plant biomass assimilation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>assim</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9e42c547-5dca-49ff-a9d0-f52d180a7a4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e42c547-5dca-49ff-a9d0-f52d180a7a4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eaa56fa-1490-4bbd-95c3-ac9665b41eef' class='xr-var-data-in' type='checkbox'><label for='data-3eaa56fa-1490-4bbd-95c3-ac9665b41eef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>plant biomass assimilation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2589,7 +2587,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>assimPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-02913d49-970c-496f-a72c-b5f3734b02b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02913d49-970c-496f-a72c-b5f3734b02b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eda43e51-5812-417c-b2b9-875f31260393' class='xr-var-data-in' type='checkbox'><label for='data-eda43e51-5812-417c-b2b9-875f31260393' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>plant potential biomass assimilation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>assimPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-33794ea8-a88c-441d-84ea-e01be4192437' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33794ea8-a88c-441d-84ea-e01be4192437' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60d6e513-6b50-4cd2-bbe4-96f2d237f235' class='xr-var-data-in' type='checkbox'><label for='data-60d6e513-6b50-4cd2-bbe4-96f2d237f235' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>plant potential biomass assimilation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2629,7 +2627,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8a63db23-4a65-4d83-890c-8e79efa7b8f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a63db23-4a65-4d83-890c-8e79efa7b8f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f6d3c88-b4ff-48e4-9f13-9a3168ec4d1d' class='xr-var-data-in' type='checkbox'><label for='data-9f6d3c88-b4ff-48e4-9f13-9a3168ec4d1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(m².d)</dd><dt><span>long_name :</span></dt><dd>net growth rate of living biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8c60acee-1831-4dda-b3c3-9428e6497438' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c60acee-1831-4dda-b3c3-9428e6497438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65d2d04b-fd12-4fa4-8ec6-c6dbe127feac' class='xr-var-data-in' type='checkbox'><label for='data-65d2d04b-fd12-4fa4-8ec6-c6dbe127feac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(m².d)</dd><dt><span>long_name :</span></dt><dd>net growth rate of living biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2669,7 +2667,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-528474a3-cf47-4436-9dc1-7e4086c0c120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-528474a3-cf47-4436-9dc1-7e4086c0c120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a447252f-0523-47c4-a842-5f6836269f6f' class='xr-var-data-in' type='checkbox'><label for='data-a447252f-0523-47c4-a842-5f6836269f6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(m².d)</dd><dt><span>long_name :</span></dt><dd>net growth rate of dead biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cM</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d13ec68f-a79b-4f55-98ec-3dfbf9b93f38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d13ec68f-a79b-4f55-98ec-3dfbf9b93f38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57fd18e8-da2b-47ed-ba57-0fd89ae55486' class='xr-var-data-in' type='checkbox'><label for='data-57fd18e8-da2b-47ed-ba57-0fd89ae55486' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(m².d)</dd><dt><span>long_name :</span></dt><dd>net growth rate of dead biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2709,7 +2707,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdt</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a1f4cc88-25a2-4750-bdde-5f0ede9645ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1f4cc88-25a2-4750-bdde-5f0ede9645ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a6b803-d1c2-4eba-9234-1c73255b4b45' class='xr-var-data-in' type='checkbox'><label for='data-84a6b803-d1c2-4eba-9234-1c73255b4b45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>grain yield</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdt</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a18a7fa9-740a-482d-bf4f-93b5a829d63d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a18a7fa9-740a-482d-bf4f-93b5a829d63d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65a27000-db49-466b-b9c3-acfd82c0e530' class='xr-var-data-in' type='checkbox'><label for='data-65a27000-db49-466b-b9c3-acfd82c0e530' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>grain yield</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2749,7 +2747,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdtPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b4f001f4-0ebc-4e5e-a3c7-652e2239e0ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4f001f4-0ebc-4e5e-a3c7-652e2239e0ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15aedf06-f650-4349-a243-d27324918d41' class='xr-var-data-in' type='checkbox'><label for='data-15aedf06-f650-4349-a243-d27324918d41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>potential grain yield</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rdtPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a6564731-0b9a-4d5d-a206-6fb108b57276' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6564731-0b9a-4d5d-a206-6fb108b57276' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9432ef69-c5cb-4b67-8029-6370cf1cbfd0' class='xr-var-data-in' type='checkbox'><label for='data-9432ef69-c5cb-4b67-8029-6370cf1cbfd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>potential grain yield</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2789,7 +2787,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reallocation</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-16ee78f3-63bc-4aa6-bfdb-48fb12bc6baa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16ee78f3-63bc-4aa6-bfdb-48fb12bc6baa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9389998-7748-4e0b-a500-5750494b2b21' class='xr-var-data-in' type='checkbox'><label for='data-b9389998-7748-4e0b-a500-5750494b2b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>amount of assimilates reallocated to the yield (supply &lt; demand)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reallocation</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7371e797-6b8f-4a37-9ad0-8e24a9939fd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7371e797-6b8f-4a37-9ad0-8e24a9939fd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18210c9d-edd1-4897-9f6f-4251c186b4e7' class='xr-var-data-in' type='checkbox'><label for='data-18210c9d-edd1-4897-9f6f-4251c186b4e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>amount of assimilates reallocated to the yield (supply &lt; demand)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2829,7 +2827,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>respMaint</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3013c216-5be2-45d7-82a8-ba6ac34951cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3013c216-5be2-45d7-82a8-ba6ac34951cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdfa8e30-af94-40ed-b395-ee3b0e86d423' class='xr-var-data-in' type='checkbox'><label for='data-fdfa8e30-af94-40ed-b395-ee3b0e86d423' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>amount of assimilates consumed by maintainance respiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>respMaint</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f2224808-0121-4184-9797-1f5301652705' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2224808-0121-4184-9797-1f5301652705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7543690-7a82-4dc9-8ed3-ddc03c691cf1' class='xr-var-data-in' type='checkbox'><label for='data-d7543690-7a82-4dc9-8ed3-ddc03c691cf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>amount of assimilates consumed by maintainance respiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2869,7 +2867,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>manqueAssim</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ff684139-ff39-488c-b3ab-8b4c87e809f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff684139-ff39-488c-b3ab-8b4c87e809f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45987085-c137-4807-8a95-e430f8eb6102' class='xr-var-data-in' type='checkbox'><label for='data-45987085-c137-4807-8a95-e430f8eb6102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>deficit in assimilates (demand - supply)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>manqueAssim</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9ac793cc-e421-464c-9fef-a478636ca7fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac793cc-e421-464c-9fef-a478636ca7fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f24a919-655e-409a-a93e-5c96aa8152e9' class='xr-var-data-in' type='checkbox'><label for='data-7f24a919-655e-409a-a93e-5c96aa8152e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>deficit in assimilates (demand - supply)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2909,7 +2907,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomTotStadeFloraison</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f39a7207-31c9-4a02-9065-ef92a6dc93ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f39a7207-31c9-4a02-9065-ef92a6dc93ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e22f8cba-c403-40a0-b0e1-ce6897b59b40' class='xr-var-data-in' type='checkbox'><label for='data-e22f8cba-c403-40a0-b0e1-ce6897b59b40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total biomass of the plant at the end of the flowering stage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomTotStadeFloraison</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-59b1fcfb-25e3-4e40-a688-a47ef82d273e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59b1fcfb-25e3-4e40-a688-a47ef82d273e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fe1eae4-81e4-4986-96c9-92d2e1d3b2f0' class='xr-var-data-in' type='checkbox'><label for='data-3fe1eae4-81e4-4986-96c9-92d2e1d3b2f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total biomass of the plant at the end of the flowering stage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2949,7 +2947,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomTotStadeIp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-10ada8e2-7e8f-447b-b587-3b3233c34229' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10ada8e2-7e8f-447b-b587-3b3233c34229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e70c4c79-6c8e-4039-ac74-290579efe79d' class='xr-var-data-in' type='checkbox'><label for='data-e70c4c79-6c8e-4039-ac74-290579efe79d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total biomass at the panicle initiation stage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomTotStadeIp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-6b52e067-ecb3-45cb-a4a2-03b57a0cb085' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b52e067-ecb3-45cb-a4a2-03b57a0cb085' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40d7aaf6-8bad-472f-b551-18d489e15c6a' class='xr-var-data-in' type='checkbox'><label for='data-40d7aaf6-8bad-472f-b551-18d489e15c6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total biomass at the panicle initiation stage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -2989,7 +2987,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaBiomasseAerienne</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9302e858-6899-4186-8899-4ef950321564' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9302e858-6899-4186-8899-4ef950321564' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eacc063-a443-4ded-aed4-258eb88870ed' class='xr-var-data-in' type='checkbox'><label for='data-1eacc063-a443-4ded-aed4-258eb88870ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(ha.d)</dd><dt><span>long_name :</span></dt><dd>increment of aerial biomass in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaBiomasseAerienne</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8d6dfb34-54ec-451e-8ccb-c6e3ba4ddc4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d6dfb34-54ec-451e-8ccb-c6e3ba4ddc4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54c35ded-ac27-4093-93ee-949f37fe96b8' class='xr-var-data-in' type='checkbox'><label for='data-54c35ded-ac27-4093-93ee-949f37fe96b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(ha.d)</dd><dt><span>long_name :</span></dt><dd>increment of aerial biomass in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3029,7 +3027,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaBiomasseFeuilles</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0ddc391a-8890-4431-8bf9-add80b270300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ddc391a-8890-4431-8bf9-add80b270300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98f97302-82e7-4369-b109-b7f38df095e7' class='xr-var-data-in' type='checkbox'><label for='data-98f97302-82e7-4369-b109-b7f38df095e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(ha.d)</dd><dt><span>long_name :</span></dt><dd>increment of leaf biomass in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaBiomasseFeuilles</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-80ffae23-4664-4af2-bf6b-54662da4b3eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80ffae23-4664-4af2-bf6b-54662da4b3eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90cbf2c9-c635-4252-8afe-5ed5bcb66a61' class='xr-var-data-in' type='checkbox'><label for='data-90cbf2c9-c635-4252-8afe-5ed5bcb66a61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(ha.d)</dd><dt><span>long_name :</span></dt><dd>increment of leaf biomass in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3069,7 +3067,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseAerienne</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-52f82a69-406c-44b7-930f-0ba980f773b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52f82a69-406c-44b7-930f-0ba980f773b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d78145b-995d-436f-91c9-07521edcf5dc' class='xr-var-data-in' type='checkbox'><label for='data-9d78145b-995d-436f-91c9-07521edcf5dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total aerial biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseAerienne</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-33131580-7291-4ccb-baa1-c8b5ca6fe644' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33131580-7291-4ccb-baa1-c8b5ca6fe644' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae2474a-7246-4bd5-b839-29397f9ec543' class='xr-var-data-in' type='checkbox'><label for='data-7ae2474a-7246-4bd5-b839-29397f9ec543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total aerial biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3109,7 +3107,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseVegetative</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c05073cb-250a-495f-af97-769ce3425b4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c05073cb-250a-495f-af97-769ce3425b4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9acd6266-4c70-4495-89cf-eb054cf618c4' class='xr-var-data-in' type='checkbox'><label for='data-9acd6266-4c70-4495-89cf-eb054cf618c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total vegetative biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseVegetative</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e6e83b19-a2f0-42db-b7dc-68672ad5bf06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6e83b19-a2f0-42db-b7dc-68672ad5bf06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bb1d3d3-0627-4784-b81a-abbe2a31f1f7' class='xr-var-data-in' type='checkbox'><label for='data-2bb1d3d3-0627-4784-b81a-abbe2a31f1f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total vegetative biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3149,7 +3147,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseTotale</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3a8ac389-54f0-46f3-9fcf-7fef91ae4adf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a8ac389-54f0-46f3-9fcf-7fef91ae4adf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baa93d3d-58b4-4108-aeea-27c9dfc748b5' class='xr-var-data-in' type='checkbox'><label for='data-baa93d3d-58b4-4108-aeea-27c9dfc748b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseTotale</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-843206af-8b3b-4527-9e1c-7e016ebed570' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-843206af-8b3b-4527-9e1c-7e016ebed570' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-120eacdc-0013-4301-847e-cfb663bb66a5' class='xr-var-data-in' type='checkbox'><label for='data-120eacdc-0013-4301-847e-cfb663bb66a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3189,7 +3187,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseTige</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-73cfb488-fd38-4be4-bdc8-e410e4e1b0f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73cfb488-fd38-4be4-bdc8-e410e4e1b0f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e08ac58a-9ce6-4ee1-bed9-fec539c129b0' class='xr-var-data-in' type='checkbox'><label for='data-e08ac58a-9ce6-4ee1-bed9-fec539c129b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total stem biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseTige</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d1be72bf-939d-4bfb-bac0-d0ffe28a1cf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1be72bf-939d-4bfb-bac0-d0ffe28a1cf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-706f6326-2e58-44ce-bc6b-52ce76350239' class='xr-var-data-in' type='checkbox'><label for='data-706f6326-2e58-44ce-bc6b-52ce76350239' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total stem biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3229,7 +3227,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseRacinaire</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-419b44e3-df81-4254-84cd-a74907b7cdb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-419b44e3-df81-4254-84cd-a74907b7cdb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a87bc933-0575-4e74-a757-296f9ab512f5' class='xr-var-data-in' type='checkbox'><label for='data-a87bc933-0575-4e74-a757-296f9ab512f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total root biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseRacinaire</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7e5c102d-1c1d-4491-9fcf-499a5f991df6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e5c102d-1c1d-4491-9fcf-499a5f991df6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05208380-b761-471d-97af-39eef9432eaa' class='xr-var-data-in' type='checkbox'><label for='data-05208380-b761-471d-97af-39eef9432eaa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total root biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3269,7 +3267,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseFeuille</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-214dbec6-432f-40c4-a01a-91ca7dbff985' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-214dbec6-432f-40c4-a01a-91ca7dbff985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4ff4f12-8578-49a6-b32a-4c73af45a8a3' class='xr-var-data-in' type='checkbox'><label for='data-a4ff4f12-8578-49a6-b32a-4c73af45a8a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total leaf biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>biomasseFeuille</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e1df902e-267b-4f62-bcec-77d154d2d275' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1df902e-267b-4f62-bcec-77d154d2d275' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffdb8150-7472-47de-b3ec-ba12531853e4' class='xr-var-data-in' type='checkbox'><label for='data-ffdb8150-7472-47de-b3ec-ba12531853e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha</dd><dt><span>long_name :</span></dt><dd>total leaf biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3309,7 +3307,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaBiomasseTotale</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-22b253bf-5f06-4e5f-9a18-d134b835ae21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22b253bf-5f06-4e5f-9a18-d134b835ae21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75c80647-da41-4fb3-856d-b884a5dbd5a8' class='xr-var-data-in' type='checkbox'><label for='data-75c80647-da41-4fb3-856d-b884a5dbd5a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(ha.d)</dd><dt><span>long_name :</span></dt><dd>increment of total biomass in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deltaBiomasseTotale</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c1d942a1-7030-41d1-a98e-bf77a0ad139d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1d942a1-7030-41d1-a98e-bf77a0ad139d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-148e5f8c-df5b-4917-8202-e3df2fefb625' class='xr-var-data-in' type='checkbox'><label for='data-148e5f8c-df5b-4917-8202-e3df2fefb625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/(ha.d)</dd><dt><span>long_name :</span></dt><dd>increment of total biomass in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3349,7 +3347,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kce</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d5c86b21-6afc-417f-92de-b60cc1a313f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5c86b21-6afc-417f-92de-b60cc1a313f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-486c3957-1249-4950-8e0c-27713c840dde' class='xr-var-data-in' type='checkbox'><label for='data-486c3957-1249-4950-8e0c-27713c840dde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of kc attributable to soil evaporation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kce</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f233d757-ab6d-4487-b621-6881a53eea65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f233d757-ab6d-4487-b621-6881a53eea65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9850b1a-6f24-4626-9897-92d47464bc2b' class='xr-var-data-in' type='checkbox'><label for='data-c9850b1a-6f24-4626-9897-92d47464bc2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of kc attributable to soil evaporation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3389,7 +3387,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kcp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e80a059f-61d8-4693-b41d-690e37dae22d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e80a059f-61d8-4693-b41d-690e37dae22d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-218241ea-88e4-49fe-9125-6823cfd80348' class='xr-var-data-in' type='checkbox'><label for='data-218241ea-88e4-49fe-9125-6823cfd80348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of kc attributable to plant transpiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kcp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bc28a9f5-65cf-45d8-a17f-769c288a18a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc28a9f5-65cf-45d8-a17f-769c288a18a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-585f9e99-c6a1-404a-ace9-1b6f8192bcda' class='xr-var-data-in' type='checkbox'><label for='data-585f9e99-c6a1-404a-ace9-1b6f8192bcda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of kc attributable to plant transpiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3429,7 +3427,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kcTot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4e72623c-dbc4-43b7-a052-8e28d9011553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e72623c-dbc4-43b7-a052-8e28d9011553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e17aa21e-b9ee-4b6d-8738-6120b477508a' class='xr-var-data-in' type='checkbox'><label for='data-e17aa21e-b9ee-4b6d-8738-6120b477508a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>total crop coefficient</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kcTot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-33c9bc26-51ce-43c4-a565-084a3d3afa04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c9bc26-51ce-43c4-a565-084a3d3afa04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad2e0b07-5d04-4819-b05b-5b730da36a3e' class='xr-var-data-in' type='checkbox'><label for='data-ad2e0b07-5d04-4819-b05b-5b730da36a3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>total crop coefficient</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3469,7 +3467,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2136af27-4834-48df-9439-eb71ff92c4e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2136af27-4834-48df-9439-eb71ff92c4e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-320e7439-260e-47f1-8116-08cfd18be5ac' class='xr-var-data-in' type='checkbox'><label for='data-320e7439-260e-47f1-8116-08cfd18be5ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>actual crop transpiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-98d491aa-9b92-4d4e-bd6b-17406f073302' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98d491aa-9b92-4d4e-bd6b-17406f073302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c05865d-29d0-4172-bd1c-907d814ef55a' class='xr-var-data-in' type='checkbox'><label for='data-1c05865d-29d0-4172-bd1c-907d814ef55a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>actual crop transpiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3509,7 +3507,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-badce4d6-be38-4ec2-a63c-17cb6601bb67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-badce4d6-be38-4ec2-a63c-17cb6601bb67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcad74b8-7860-400a-9386-e85f6f28c46a' class='xr-var-data-in' type='checkbox'><label for='data-fcad74b8-7860-400a-9386-e85f6f28c46a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>potential crop transpiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ac5aebea-61de-40c2-97ba-85889c34fae8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac5aebea-61de-40c2-97ba-85889c34fae8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a29ad58-2817-4e8b-b52e-fb7641955eba' class='xr-var-data-in' type='checkbox'><label for='data-7a29ad58-2817-4e8b-b52e-fb7641955eba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>potential crop transpiration</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3549,7 +3547,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trSurf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5cb70dc0-939b-43b9-9786-c3f013b9687c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cb70dc0-939b-43b9-9786-c3f013b9687c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb58d0e7-d527-4808-819b-bcb49bbf87d1' class='xr-var-data-in' type='checkbox'><label for='data-fb58d0e7-d527-4808-819b-bcb49bbf87d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trSurf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d97944e9-bf59-421c-ab8b-7a9407f0c956' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d97944e9-bf59-421c-ab8b-7a9407f0c956' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75262643-6ce9-4665-a4c8-c54d5b333c6f' class='xr-var-data-in' type='checkbox'><label for='data-75262643-6ce9-4665-a4c8-c54d5b333c6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3589,7 +3587,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>consoRur</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4f3556bb-927c-4155-9805-1e9afc72f62e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f3556bb-927c-4155-9805-1e9afc72f62e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b918cc89-7fd0-4de8-9a88-3bcfbed45df5' class='xr-var-data-in' type='checkbox'><label for='data-b918cc89-7fd0-4de8-9a88-3bcfbed45df5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>consumption of water stored in the root system</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>consoRur</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-695dbe84-7841-41a9-8311-cadd90294e37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-695dbe84-7841-41a9-8311-cadd90294e37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c64b1420-5aaf-4646-8c59-5450b38563ac' class='xr-var-data-in' type='checkbox'><label for='data-c64b1420-5aaf-4646-8c59-5450b38563ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>consumption of water stored in the root system</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3629,7 +3627,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_captured_by_mulch</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-34faa182-43a9-48b5-b73b-efb0bc5738ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34faa182-43a9-48b5-b73b-efb0bc5738ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e95c4126-f37a-4a25-82fd-023ce1e61b7e' class='xr-var-data-in' type='checkbox'><label for='data-e95c4126-f37a-4a25-82fd-023ce1e61b7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>water captured by the mulch in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_captured_by_mulch</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a30beaf4-821c-4c93-a625-5e521de19842' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a30beaf4-821c-4c93-a625-5e521de19842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8c63d8f-d171-4918-86f9-e5c2840ee99a' class='xr-var-data-in' type='checkbox'><label for='data-f8c63d8f-d171-4918-86f9-e5c2840ee99a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>water captured by the mulch in one day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3669,7 +3667,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>available_water</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4d0200e5-e33c-46e5-a21c-b12b94205bd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d0200e5-e33c-46e5-a21c-b12b94205bd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-639851c2-9528-4f4e-b681-37f9af3ff683' class='xr-var-data-in' type='checkbox'><label for='data-639851c2-9528-4f4e-b681-37f9af3ff683' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>available water, sum of rainfall and total irrigation for the day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>available_water</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5b82566a-f0f4-49b0-8510-97b7857e4caf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b82566a-f0f4-49b0-8510-97b7857e4caf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f71acf3-7802-41da-9c1a-2c730115179f' class='xr-var-data-in' type='checkbox'><label for='data-0f71acf3-7802-41da-9c1a-2c730115179f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>available water, sum of rainfall and total irrigation for the day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3709,7 +3707,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eauTranspi</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-beb1ad9b-7115-4a9d-9654-03fce9f44f48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beb1ad9b-7115-4a9d-9654-03fce9f44f48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e04c0a5-84df-485d-803f-b10a5afd2eb2' class='xr-var-data-in' type='checkbox'><label for='data-9e04c0a5-84df-485d-803f-b10a5afd2eb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>water available for transpiration from the surface reservoir</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eauTranspi</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-30fcf21e-5354-4e4f-a211-3428a5c3f4f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30fcf21e-5354-4e4f-a211-3428a5c3f4f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65a2dd52-6ac4-4445-9f2f-8a51876371bc' class='xr-var-data-in' type='checkbox'><label for='data-65a2dd52-6ac4-4445-9f2f-8a51876371bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>water available for transpiration from the surface reservoir</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3749,7 +3747,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>correctedIrrigation</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2c0b8349-f86d-4682-90c1-ce7c27ffeacc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c0b8349-f86d-4682-90c1-ce7c27ffeacc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21cd0a35-2cd9-432e-b23a-ab83e65b0e84' class='xr-var-data-in' type='checkbox'><label for='data-21cd0a35-2cd9-432e-b23a-ab83e65b0e84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>corrected irrigation amount</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>correctedIrrigation</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-07fa24b7-08b0-414d-afc4-894573e29e33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07fa24b7-08b0-414d-afc4-894573e29e33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-843274e3-5ee6-4de3-84ee-c5e9f2156514' class='xr-var-data-in' type='checkbox'><label for='data-843274e3-5ee6-4de3-84ee-c5e9f2156514' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>corrected irrigation amount</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3789,7 +3787,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cstr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-669d0358-8dae-47ec-8a5e-aa44f01273f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-669d0358-8dae-47ec-8a5e-aa44f01273f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe50883c-4002-4798-a5b0-feeb08a5807b' class='xr-var-data-in' type='checkbox'><label for='data-fe50883c-4002-4798-a5b0-feeb08a5807b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbitrary unit</dd><dt><span>long_name :</span></dt><dd>drought stress coefficient</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cstr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8554302b-ec28-4fff-b8d8-2aa31748f1d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8554302b-ec28-4fff-b8d8-2aa31748f1d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-244a52c0-a748-4a7c-a93b-f54980e60701' class='xr-var-data-in' type='checkbox'><label for='data-244a52c0-a748-4a7c-a93b-f54980e60701' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>arbitrary unit</dd><dt><span>long_name :</span></dt><dd>drought stress coefficient</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3829,7 +3827,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dayVrac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-430153e6-ed46-4cbc-b292-94a61fda4a62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-430153e6-ed46-4cbc-b292-94a61fda4a62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b0b826e-2e97-42b5-98b7-1f24ff3e118c' class='xr-var-data-in' type='checkbox'><label for='data-1b0b826e-2e97-42b5-98b7-1f24ff3e118c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>modulated daily root growth</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dayVrac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c572b6c3-69c6-40c4-b9b2-69035540c0e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c572b6c3-69c6-40c4-b9b2-69035540c0e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b98d41f5-7bbb-4d9a-b0a0-091592393a41' class='xr-var-data-in' type='checkbox'><label for='data-b98d41f5-7bbb-4d9a-b0a0-091592393a41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>modulated daily root growth</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3869,7 +3867,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta_root_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-88905072-3bdf-43c8-8b43-d5f3401b3e3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88905072-3bdf-43c8-8b43-d5f3401b3e3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-257ce5db-3f7b-4f9b-9d4c-a1d81b6efd6b' class='xr-var-data-in' type='checkbox'><label for='data-257ce5db-3f7b-4f9b-9d4c-a1d81b6efd6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>change in root system water reserve</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta_root_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7b75c1ba-4d5e-402e-b73e-b51ed2cde9c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b75c1ba-4d5e-402e-b73e-b51ed2cde9c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83185ef2-0230-4ccd-9e0d-ab32939fcef8' class='xr-var-data-in' type='checkbox'><label for='data-83185ef2-0230-4ccd-9e0d-ab32939fcef8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>change in root system water reserve</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3909,7 +3907,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drainage</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d915797e-5c74-4a80-b179-60c387a14cc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d915797e-5c74-4a80-b179-60c387a14cc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ff5920-d06c-4af6-aa4a-776ab378df89' class='xr-var-data-in' type='checkbox'><label for='data-68ff5920-d06c-4af6-aa4a-776ab378df89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>drainage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drainage</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7581a3b8-974c-4b61-af50-30d3f44581a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7581a3b8-974c-4b61-af50-30d3f44581a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3d24bda-f301-4fb1-9b46-b3ba971829af' class='xr-var-data-in' type='checkbox'><label for='data-c3d24bda-f301-4fb1-9b46-b3ba971829af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>drainage</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3949,7 +3947,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>etp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-6af858bd-6b65-4590-976f-11bf0d3e0f82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6af858bd-6b65-4590-976f-11bf0d3e0f82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-861f274d-851c-4625-8d74-f24022c7969e' class='xr-var-data-in' type='checkbox'><label for='data-861f274d-851c-4625-8d74-f24022c7969e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>potential evapotranspiration from the soil moisture</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>etp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-911fd601-2350-4212-853d-45a6c94ed684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-911fd601-2350-4212-853d-45a6c94ed684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61775349-8ff6-418c-9124-ef447766c448' class='xr-var-data-in' type='checkbox'><label for='data-61775349-8ff6-418c-9124-ef447766c448' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>potential evapotranspiration from the soil moisture</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -3989,7 +3987,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evap</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5088e743-3fac-43d9-8eef-ca6d5f562334' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5088e743-3fac-43d9-8eef-ca6d5f562334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cec8e7f2-a41f-436a-8717-3cfcab00f4da' class='xr-var-data-in' type='checkbox'><label for='data-cec8e7f2-a41f-436a-8717-3cfcab00f4da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>evaporation from the soil moisture</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evap</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-179bd410-81f6-45d9-851a-4dd04c1ddc53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-179bd410-81f6-45d9-851a-4dd04c1ddc53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59bb1d25-daf1-4585-abcd-673fede64ad0' class='xr-var-data-in' type='checkbox'><label for='data-59bb1d25-daf1-4585-abcd-673fede64ad0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>evaporation from the soil moisture</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4029,7 +4027,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evapPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9f89c5a9-f401-4d63-879a-9bc81c6c5fba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f89c5a9-f401-4d63-879a-9bc81c6c5fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-489e5dfd-cb3d-4539-8a8c-3a1b31a31d04' class='xr-var-data-in' type='checkbox'><label for='data-489e5dfd-cb3d-4539-8a8c-3a1b31a31d04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>potential evaporation from the soil moisture</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evapPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4cb0a18b-e884-4419-af3b-a4936b3c4adc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cb0a18b-e884-4419-af3b-a4936b3c4adc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eb0945a-d4c1-417a-8e80-e3a397de9b20' class='xr-var-data-in' type='checkbox'><label for='data-9eb0945a-d4c1-417a-8e80-e3a397de9b20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>potential evaporation from the soil moisture</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4069,7 +4067,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FEMcW</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a75d1d0e-86e0-4978-886d-e287ba89ad9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a75d1d0e-86e0-4978-886d-e287ba89ad9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17945536-eb65-410c-9b2d-89ef2124e661' class='xr-var-data-in' type='checkbox'><label for='data-17945536-eb65-410c-9b2d-89ef2124e661' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>water fraction in soil volume explored by the root system</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FEMcW</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-66256d1a-4e66-4793-a061-b2f6074d319b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66256d1a-4e66-4793-a061-b2f6074d319b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-974fffe4-9ca0-4914-97e5-e35f94de8b98' class='xr-var-data-in' type='checkbox'><label for='data-974fffe4-9ca0-4914-97e5-e35f94de8b98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>water fraction in soil volume explored by the root system</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4109,7 +4107,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fesw</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-abff545d-a481-4885-87ac-32329b7cb6f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abff545d-a481-4885-87ac-32329b7cb6f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6b1c8de-476a-4198-99a2-fae67953d77d' class='xr-var-data-in' type='checkbox'><label for='data-e6b1c8de-476a-4198-99a2-fae67953d77d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of available surface water</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fesw</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9c7c2cd3-3089-46c8-8091-d4242ca1c33f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c7c2cd3-3089-46c8-8091-d4242ca1c33f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcfceccf-39c1-4284-ad65-559a0ede798f' class='xr-var-data-in' type='checkbox'><label for='data-fcfceccf-39c1-4284-ad65-559a0ede798f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of available surface water</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4149,7 +4147,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigTotDay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-68587275-700c-46f8-a935-13ab75d9c1c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68587275-700c-46f8-a935-13ab75d9c1c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98fbc0df-b226-41ba-a19f-3c301bb653d2' class='xr-var-data-in' type='checkbox'><label for='data-98fbc0df-b226-41ba-a19f-3c301bb653d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>total irrigation for the day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigTotDay</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-91209ac2-ac0f-4248-aaa6-ff520c508dc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91209ac2-ac0f-4248-aaa6-ff520c508dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd4805b5-5544-4ec4-9610-5ebf97cb20ba' class='xr-var-data-in' type='checkbox'><label for='data-fd4805b5-5544-4ec4-9610-5ebf97cb20ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>total irrigation for the day</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4189,7 +4187,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vRac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d21d6684-9af3-4f93-91a7-388848b43175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d21d6684-9af3-4f93-91a7-388848b43175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0185f7ec-3acd-455c-adaf-f2495ea3478d' class='xr-var-data-in' type='checkbox'><label for='data-0185f7ec-3acd-455c-adaf-f2495ea3478d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>reference daily root growth</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vRac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e20821b8-2888-44e5-975e-5c7fe33238a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e20821b8-2888-44e5-975e-5c7fe33238a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1598e33-fc75-4135-96e7-573e310c4d19' class='xr-var-data-in' type='checkbox'><label for='data-d1598e33-fc75-4135-96e7-573e310c4d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>long_name :</span></dt><dd>reference daily root growth</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4229,7 +4227,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ftsw</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-52337d32-8a5a-4bae-8337-dde68e7b3fa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52337d32-8a5a-4bae-8337-dde68e7b3fa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e35d3022-b289-462a-ae7a-b6fb4d81171b' class='xr-var-data-in' type='checkbox'><label for='data-e35d3022-b289-462a-ae7a-b6fb4d81171b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of transpirable surface water</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ftsw</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e495573c-6ce3-4a41-a28d-58f1eb76200e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e495573c-6ce3-4a41-a28d-58f1eb76200e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc9aa50d-2149-46ba-8e2c-be3a9622962d' class='xr-var-data-in' type='checkbox'><label for='data-dc9aa50d-2149-46ba-8e2c-be3a9622962d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>decimal percentage</dd><dt><span>long_name :</span></dt><dd>fraction of transpirable surface water</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4269,7 +4267,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4b7418c9-5705-43ca-bd22-262fbf5f347a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b7418c9-5705-43ca-bd22-262fbf5f347a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a5f41bb-ee6f-4cb9-8acb-2a78fbd5cc13' class='xr-var-data-in' type='checkbox'><label for='data-1a5f41bb-ee6f-4cb9-8acb-2a78fbd5cc13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>daily water runoff</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>runoff</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-62fd66bc-2b8d-49ad-83e5-780cea4f6d60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62fd66bc-2b8d-49ad-83e5-780cea4f6d60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5b44130-4523-4cb2-9ba6-5ae8bb3edcc8' class='xr-var-data-in' type='checkbox'><label for='data-c5b44130-4523-4cb2-9ba6-5ae8bb3edcc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/d</dd><dt><span>long_name :</span></dt><dd>daily water runoff</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4309,7 +4307,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pFact</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b12afb51-076f-444a-b8fe-a840b99f7390' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b12afb51-076f-444a-b8fe-a840b99f7390' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b596ebb-85dd-4af5-84f2-b329d84b1e37' class='xr-var-data-in' type='checkbox'><label for='data-7b596ebb-85dd-4af5-84f2-b329d84b1e37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>FAO reference for critical FTSW value for transpiration response</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pFact</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cbd2b6b1-d0fb-46cb-8642-2bb5c329386a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbd2b6b1-d0fb-46cb-8642-2bb5c329386a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9feb472d-66b6-47f7-ab09-e7c90ca2515a' class='xr-var-data-in' type='checkbox'><label for='data-9feb472d-66b6-47f7-ab09-e7c90ca2515a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>none</dd><dt><span>long_name :</span></dt><dd>FAO reference for critical FTSW value for transpiration response</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4349,7 +4347,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigation_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-918bef93-2d5d-46b0-9e7e-40b291aaad71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-918bef93-2d5d-46b0-9e7e-40b291aaad71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19e04caf-586f-4003-a795-36b28dd1bf14' class='xr-var-data-in' type='checkbox'><label for='data-19e04caf-586f-4003-a795-36b28dd1bf14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>current stock of water in the irrigation tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigation_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7b15a166-d5d9-40d7-9a47-849b17ca280c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b15a166-d5d9-40d7-9a47-849b17ca280c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-517b7ba0-7baf-40e2-b17e-c3785466da21' class='xr-var-data-in' type='checkbox'><label for='data-517b7ba0-7baf-40e2-b17e-c3785466da21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>current stock of water in the irrigation tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4389,7 +4387,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mulch_water_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e0c4ab3c-3403-43d9-897f-46daa0206b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c4ab3c-3403-43d9-897f-46daa0206b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ecd9887-7a87-4843-8a25-60de63478573' class='xr-var-data-in' type='checkbox'><label for='data-6ecd9887-7a87-4843-8a25-60de63478573' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>water stored in crop residues (mulch)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mulch_water_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4f924644-c534-48bc-b603-373e06ed7ca5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f924644-c534-48bc-b603-373e06ed7ca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec92858a-0118-4058-ac6f-ad6390755f7f' class='xr-var-data-in' type='checkbox'><label for='data-ec92858a-0118-4058-ac6f-ad6390755f7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>water stored in crop residues (mulch)</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4429,7 +4427,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>root_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-95b89de0-958a-4aad-9fe9-da5a6a020236' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95b89de0-958a-4aad-9fe9-da5a6a020236' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ce4b7e-3e4b-4459-ac46-30cb802c05a2' class='xr-var-data-in' type='checkbox'><label for='data-d1ce4b7e-3e4b-4459-ac46-30cb802c05a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>current stock of water in the root system tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>root_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b90f9a8f-91dd-4a14-b005-624d317b9df7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b90f9a8f-91dd-4a14-b005-624d317b9df7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a33bbdc4-0106-42c4-be2f-c645a4b3fb51' class='xr-var-data-in' type='checkbox'><label for='data-a33bbdc4-0106-42c4-be2f-c645a4b3fb51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>current stock of water in the root system tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4469,7 +4467,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-61c0087c-763c-46dd-88e8-9cdafeae3d78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61c0087c-763c-46dd-88e8-9cdafeae3d78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd36c163-7dc8-455b-ba50-7740eca89d82' class='xr-var-data-in' type='checkbox'><label for='data-fd36c163-7dc8-455b-ba50-7740eca89d82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>total capacity of the root system tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-18904a6f-9d98-4124-bff7-665392095c3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18904a6f-9d98-4124-bff7-665392095c3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5060ec8c-65cc-4f0a-949a-0117500e84c8' class='xr-var-data-in' type='checkbox'><label for='data-5060ec8c-65cc-4f0a-949a-0117500e84c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>total capacity of the root system tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4509,7 +4507,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stRur</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3e9610a2-8b71-4315-bfca-487ac4685db6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e9610a2-8b71-4315-bfca-487ac4685db6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7922305d-7b36-4712-8953-19af13efba40' class='xr-var-data-in' type='checkbox'><label for='data-7922305d-7b36-4712-8953-19af13efba40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stRur</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-da311573-93c0-4021-9bef-78e01ccf11c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da311573-93c0-4021-9bef-78e01ccf11c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c298158-f7a7-4937-be05-35c33c87e1ed' class='xr-var-data-in' type='checkbox'><label for='data-2c298158-f7a7-4937-be05-35c33c87e1ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4549,7 +4547,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_root_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-802208d8-f6fe-4718-b2a9-62a3179657f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-802208d8-f6fe-4718-b2a9-62a3179657f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fba6fe72-68d3-406d-b765-1506d13048ed' class='xr-var-data-in' type='checkbox'><label for='data-fba6fe72-68d3-406d-b765-1506d13048ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>previous season&#x27;s root system tank capacity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_root_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-7d73d0ff-d249-4ee7-9f10-1a5ef3e8640b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d73d0ff-d249-4ee7-9f10-1a5ef3e8640b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35e7c6c8-ff35-4ea8-a2b4-bd9b360945a2' class='xr-var-data-in' type='checkbox'><label for='data-35e7c6c8-ff35-4ea8-a2b4-bd9b360945a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>previous season&#x27;s root system tank capacity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4589,7 +4587,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_root_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-17181969-c76b-443b-a16b-ef3dad791450' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17181969-c76b-443b-a16b-ef3dad791450' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-317dddf9-401a-43e7-b1a2-3911fdfd543d' class='xr-var-data-in' type='checkbox'><label for='data-317dddf9-401a-43e7-b1a2-3911fdfd543d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>previous day&#x27;s root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>previous_root_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2586bc31-4881-4e62-9496-8cc0ed8c25f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2586bc31-4881-4e62-9496-8cc0ed8c25f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5b43186-f7a7-43e8-8b94-a51eb5658142' class='xr-var-data-in' type='checkbox'><label for='data-c5b43186-f7a7-43e8-8b94-a51eb5658142' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>previous day&#x27;s root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4629,7 +4627,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stRurSurf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-dc05f7f2-3e6c-487b-8955-967a876a861c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc05f7f2-3e6c-487b-8955-967a876a861c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c27cee6-c0ee-4204-aec4-f4e353475ed5' class='xr-var-data-in' type='checkbox'><label for='data-7c27cee6-c0ee-4204-aec4-f4e353475ed5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>surface root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stRurSurf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f95d77e3-1c84-485d-9836-861195298381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f95d77e3-1c84-485d-9836-861195298381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8228daaf-9ffb-43f6-bf84-0d1c0db51529' class='xr-var-data-in' type='checkbox'><label for='data-8228daaf-9ffb-43f6-bf84-0d1c0db51529' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>surface root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4669,7 +4667,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8ae295da-08fd-473b-8bb7-4b2fc05829b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae295da-08fd-473b-8bb7-4b2fc05829b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f3298c9-406b-4147-b7c1-0df7f7fa7ff3' class='xr-var-data-in' type='checkbox'><label for='data-6f3298c9-406b-4147-b7c1-0df7f7fa7ff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>current stock of water in the surface root system tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-fe41b2b7-e9cb-4ed5-ac14-c684accfc178' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe41b2b7-e9cb-4ed5-ac14-c684accfc178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7402b3a3-6ca5-4625-b00d-70c78cf89a1b' class='xr-var-data-in' type='checkbox'><label for='data-7402b3a3-6ca5-4625-b00d-70c78cf89a1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>current stock of water in the surface root system tank</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4709,7 +4707,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stRuSurfPrec</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-96090514-a7b8-44bc-96aa-e94c267debc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96090514-a7b8-44bc-96aa-e94c267debc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a937f4b-21f5-4599-b106-6663754043b1' class='xr-var-data-in' type='checkbox'><label for='data-2a937f4b-21f5-4599-b106-6663754043b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>previous day&#x27;s surface root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stRuSurfPrec</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f7cf2dcd-e821-4460-8c8a-bb3b3e320674' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7cf2dcd-e821-4460-8c8a-bb3b3e320674' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab692d51-0bb7-4360-9518-81841e7ae16b' class='xr-var-data-in' type='checkbox'><label for='data-ab692d51-0bb7-4360-9518-81841e7ae16b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>previous day&#x27;s surface root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4749,7 +4747,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta_total_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a6219241-55cc-4fcb-adf3-fa3616d50ca0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6219241-55cc-4fcb-adf3-fa3616d50ca0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d5339e-744d-40a5-94a6-b7ded0e197d6' class='xr-var-data-in' type='checkbox'><label for='data-64d5339e-744d-40a5-94a6-b7ded0e197d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>change in the total root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta_total_tank_stock</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cec448e2-89ab-4fd8-aeeb-bb60b3fe935d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cec448e2-89ab-4fd8-aeeb-bb60b3fe935d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01a559ec-2899-4b0c-95f7-6b031d47c0c2' class='xr-var-data-in' type='checkbox'><label for='data-01a559ec-2899-4b0c-95f7-6b031d47c0c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>change in the total root system tank stock</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4789,7 +4787,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigation_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-789c65ad-2a44-48c5-b1bd-4c6667597203' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-789c65ad-2a44-48c5-b1bd-4c6667597203' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-430d20e2-90e6-4fac-9343-82817a53d923' class='xr-var-data-in' type='checkbox'><label for='data-430d20e2-90e6-4fac-9343-82817a53d923' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>irrigation tank capacity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigation_tank_capacity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-72d2f9e5-51b4-4e9c-a798-f6fce7211ad0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72d2f9e5-51b4-4e9c-a798-f6fce7211ad0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a3ca432-f396-4619-804f-4e1b4ea23ef3' class='xr-var-data-in' type='checkbox'><label for='data-1a3ca432-f396-4619-804f-4e1b4ea23ef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>irrigation tank capacity</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4829,7 +4827,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ruRac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-db157f59-ba47-4623-865b-be5d285623c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db157f59-ba47-4623-865b-be5d285623c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0af76559-fd4b-49fe-adf5-dde41e9d2f36' class='xr-var-data-in' type='checkbox'><label for='data-0af76559-fd4b-49fe-adf5-dde41e9d2f36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Water column that can potentially be strored in soil volume explored by root system</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ruRac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-11002613-ff4b-464b-b004-a92e96b0a63a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11002613-ff4b-464b-b004-a92e96b0a63a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c753b802-7924-428a-8ebf-b228bf822fd8' class='xr-var-data-in' type='checkbox'><label for='data-c753b802-7924-428a-8ebf-b228bf822fd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>Water column that can potentially be strored in soil volume explored by root system</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4869,7 +4867,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conv</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-07a6c9d7-189c-401b-9e11-f147b156403f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07a6c9d7-189c-401b-9e11-f147b156403f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a8f84dd-f345-4b62-b9a3-af7c36ca0b53' class='xr-var-data-in' type='checkbox'><label for='data-7a8f84dd-f345-4b62-b9a3-af7c36ca0b53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conv</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-097fe134-1c49-4a55-b350-10ef08e5c905' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-097fe134-1c49-4a55-b350-10ef08e5c905' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1594081-d696-46d5-83ac-b546a809b00d' class='xr-var-data-in' type='checkbox'><label for='data-c1594081-d696-46d5-83ac-b546a809b00d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4909,7 +4907,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KAssim</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-4c035155-b39d-4286-a6de-219413d25cab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c035155-b39d-4286-a6de-219413d25cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62888eae-2b55-4f3b-b754-193e929b26c3' class='xr-var-data-in' type='checkbox'><label for='data-62888eae-2b55-4f3b-b754-193e929b26c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>KAssim</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-46f8e829-7c8e-4f0e-9af3-7d2fa41eb824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46f8e829-7c8e-4f0e-9af3-7d2fa41eb824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b061ab2-23e5-44d6-82a2-e35bb4a1718b' class='xr-var-data-in' type='checkbox'><label for='data-1b061ab2-23e5-44d6-82a2-e35bb4a1718b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4949,7 +4947,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dayBiomLeaf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-aa5859d5-4419-47e0-9c2e-586755842cd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa5859d5-4419-47e0-9c2e-586755842cd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ccec055-6460-4ba4-baad-66f1bd96f104' class='xr-var-data-in' type='checkbox'><label for='data-7ccec055-6460-4ba4-baad-66f1bd96f104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha/d</dd><dt><span>long_name :</span></dt><dd>daily growth of leaf biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dayBiomLeaf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-298abbd2-1276-4376-9453-04692432d86f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-298abbd2-1276-4376-9453-04692432d86f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-047c2a5b-1e7b-4f9b-be66-dad5378c90db' class='xr-var-data-in' type='checkbox'><label for='data-047c2a5b-1e7b-4f9b-be66-dad5378c90db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha/d</dd><dt><span>long_name :</span></dt><dd>daily growth of leaf biomass</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -4989,7 +4987,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dRdtPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-df1cb4fc-01b4-458d-83e3-7b5bb29a706e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df1cb4fc-01b4-458d-83e3-7b5bb29a706e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22a341a8-bd7d-40ad-97a8-00eb689e98e6' class='xr-var-data-in' type='checkbox'><label for='data-22a341a8-bd7d-40ad-97a8-00eb689e98e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha/d</dd><dt><span>long_name :</span></dt><dd>daily potential demand from yield</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dRdtPot</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bd90aa4d-0f3a-4ef0-b0b7-c9bfcc9db4dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd90aa4d-0f3a-4ef0-b0b7-c9bfcc9db4dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a23f98-0eb8-4d78-bed3-34d874c3856b' class='xr-var-data-in' type='checkbox'><label for='data-96a23f98-0eb8-4d78-bed3-34d874c3856b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/ha/d</dd><dt><span>long_name :</span></dt><dd>daily potential demand from yield</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5029,7 +5027,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FeuilleUp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-fea745fb-8ff0-444f-be06-50c123599c1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fea745fb-8ff0-444f-be06-50c123599c1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36462f4d-abe7-4e06-a753-bd5af4d8a700' class='xr-var-data-in' type='checkbox'><label for='data-36462f4d-abe7-4e06-a753-bd5af4d8a700' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FeuilleUp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b3c514a1-4eec-45a7-82da-892b7cd4f9a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3c514a1-4eec-45a7-82da-892b7cd4f9a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-035f4449-c4d4-47c5-82b8-aeead4a214b4' class='xr-var-data-in' type='checkbox'><label for='data-035f4449-c4d4-47c5-82b8-aeead4a214b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5069,7 +5067,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kRespMaint</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-f090bb5a-9c01-4b4d-8515-3b5012a5437c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f090bb5a-9c01-4b4d-8515-3b5012a5437c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef7de51a-f1f4-4e63-a730-924adf2ea077' class='xr-var-data-in' type='checkbox'><label for='data-ef7de51a-f1f4-4e63-a730-924adf2ea077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kRespMaint</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-546cd9ee-cb30-40fc-b608-66967d612dcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-546cd9ee-cb30-40fc-b608-66967d612dcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ca3899d-17d2-4bab-b838-2fa66ead7056' class='xr-var-data-in' type='checkbox'><label for='data-8ca3899d-17d2-4bab-b838-2fa66ead7056' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5109,7 +5107,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LitFeuille</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-2be0f2ec-58fa-49ed-9646-fb8f3ad2bff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2be0f2ec-58fa-49ed-9646-fb8f3ad2bff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-090cd93f-3147-4c01-8651-eea46fe7475e' class='xr-var-data-in' type='checkbox'><label for='data-090cd93f-3147-4c01-8651-eea46fe7475e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LitFeuille</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-c49b196f-01ec-43fa-84f6-29919017280d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49b196f-01ec-43fa-84f6-29919017280d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea52fd45-9cae-478c-a070-f647c1655012' class='xr-var-data-in' type='checkbox'><label for='data-ea52fd45-9cae-478c-a070-f647c1655012' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5149,7 +5147,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbJourCompte</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-fd46b203-7818-4f3d-a442-df4c3ec2e5af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd46b203-7818-4f3d-a442-df4c3ec2e5af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fef7176-1964-400f-960f-458c14b1dcff' class='xr-var-data-in' type='checkbox'><label for='data-7fef7176-1964-400f-960f-458c14b1dcff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbJourCompte</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e39c12ae-26ff-48cd-8f73-3a669a70d513' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e39c12ae-26ff-48cd-8f73-3a669a70d513' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef4867db-988d-463c-894d-845e6b8902d9' class='xr-var-data-in' type='checkbox'><label for='data-ef4867db-988d-463c-894d-845e6b8902d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5189,7 +5187,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbjStress</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-794fad69-a7c3-4d42-bbc6-a6d2a3bed204' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-794fad69-a7c3-4d42-bbc6-a6d2a3bed204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bdda142-bd72-4516-affa-2ec35d5754ed' class='xr-var-data-in' type='checkbox'><label for='data-5bdda142-bd72-4516-affa-2ec35d5754ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbjStress</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-978fe09e-1c3d-452b-82a9-9450cf3db009' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-978fe09e-1c3d-452b-82a9-9450cf3db009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70042ad1-35cc-4a02-a410-9a9e59b0b2e9' class='xr-var-data-in' type='checkbox'><label for='data-70042ad1-35cc-4a02-a410-9a9e59b0b2e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5229,7 +5227,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NbUBT</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-11f12e94-32b0-40fd-ae7f-af341b147002' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11f12e94-32b0-40fd-ae7f-af341b147002' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aac8243c-4560-4462-b3c4-612efa69b03f' class='xr-var-data-in' type='checkbox'><label for='data-aac8243c-4560-4462-b3c4-612efa69b03f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NbUBT</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-b8afa1e2-4508-434a-ad3f-8b7b16f20213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8afa1e2-4508-434a-ad3f-8b7b16f20213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eba54e2c-dc6a-4aa4-aba2-8d93be60c110' class='xr-var-data-in' type='checkbox'><label for='data-eba54e2c-dc6a-4aa4-aba2-8d93be60c110' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5269,7 +5267,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-345f70d5-8914-4021-a3e7-b8da672815c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-345f70d5-8914-4021-a3e7-b8da672815c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88e36aec-90fc-4cfb-956f-ff6c4e4831cb' class='xr-var-data-in' type='checkbox'><label for='data-88e36aec-90fc-4cfb-956f-ff6c4e4831cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sla</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a294135c-c75c-4544-874d-1e4702e64df2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a294135c-c75c-4544-874d-1e4702e64df2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dd9db57-c074-46a4-b197-ee8b6c47236b' class='xr-var-data-in' type='checkbox'><label for='data-5dd9db57-c074-46a4-b197-ee8b6c47236b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5309,7 +5307,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stockRac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-67bfc98d-f556-48c5-a8b8-8064059f537b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67bfc98d-f556-48c5-a8b8-8064059f537b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f21d36ac-3b7e-4b70-b1f2-2b20065e502d' class='xr-var-data-in' type='checkbox'><label for='data-f21d36ac-3b7e-4b70-b1f2-2b20065e502d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stockRac</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-94f82c6a-d3b6-4493-b7cf-28bd202050a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94f82c6a-d3b6-4493-b7cf-28bd202050a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5359203-4616-4087-9669-2b8628a7a199' class='xr-var-data-in' type='checkbox'><label for='data-f5359203-4616-4087-9669-2b8628a7a199' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5349,7 +5347,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sumPP</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-33f9d9ef-3bc8-4738-87e5-6cccd861aae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33f9d9ef-3bc8-4738-87e5-6cccd861aae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909c31e5-a851-4253-b64c-901ae4ef9572' class='xr-var-data-in' type='checkbox'><label for='data-909c31e5-a851-4253-b64c-901ae4ef9572' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sumPP</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d26165c7-9654-481f-aa1a-2055489ffb8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d26165c7-9654-481f-aa1a-2055489ffb8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1124366-becd-4112-8c67-b01493e0bfbe' class='xr-var-data-in' type='checkbox'><label for='data-e1124366-becd-4112-8c67-b01493e0bfbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5389,7 +5387,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TigeUp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0b9e55eb-ee66-4b77-8ed6-3b2bb497ce58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b9e55eb-ee66-4b77-8ed6-3b2bb497ce58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdcd9102-5dee-45a9-ab75-64e380b5d9d4' class='xr-var-data-in' type='checkbox'><label for='data-fdcd9102-5dee-45a9-ab75-64e380b5d9d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TigeUp</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-8d51f9a7-5764-4027-b50c-8b788ed8f2d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d51f9a7-5764-4027-b50c-8b788ed8f2d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dbbf816-b231-4746-b075-76cc7458893e' class='xr-var-data-in' type='checkbox'><label for='data-6dbbf816-b231-4746-b075-76cc7458893e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5429,7 +5427,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UBTCulture</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-bf50cf84-77d5-43c1-abee-0f117eafda46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf50cf84-77d5-43c1-abee-0f117eafda46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73a579ec-cb31-4078-9a22-22e204a9125e' class='xr-var-data-in' type='checkbox'><label for='data-73a579ec-cb31-4078-9a22-22e204a9125e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UBTCulture</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-ad17acb6-07b6-49d2-a04c-3c8dfd1c81a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad17acb6-07b6-49d2-a04c-3c8dfd1c81a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1ef4c41-f069-46d0-bf27-f0a7c43bd213' class='xr-var-data-in' type='checkbox'><label for='data-f1ef4c41-f069-46d0-bf27-f0a7c43bd213' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5469,7 +5467,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lai</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-46138c09-ddd0-4bb2-a60a-ad8efad02502' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46138c09-ddd0-4bb2-a60a-ad8efad02502' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e8292f5-3d1b-4242-a6f1-c1ece8cdb109' class='xr-var-data-in' type='checkbox'><label for='data-3e8292f5-3d1b-4242-a6f1-c1ece8cdb109' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2/m2</dd><dt><span>long_name :</span></dt><dd>leaf area index</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lai</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e329d210-95f5-4ae5-a58e-a191810ccb99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e329d210-95f5-4ae5-a58e-a191810ccb99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-856715c3-2d9b-4522-9b61-5b8fd3dfe97e' class='xr-var-data-in' type='checkbox'><label for='data-856715c3-2d9b-4522-9b61-5b8fd3dfe97e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m2/m2</dd><dt><span>long_name :</span></dt><dd>leaf area index</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5509,7 +5507,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ncrit</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-54965250-e5dc-4b1d-a238-80349f63ac9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54965250-e5dc-4b1d-a238-80349f63ac9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffc70b50-bc7b-4988-899c-aa126a7e6c84' class='xr-var-data-in' type='checkbox'><label for='data-ffc70b50-bc7b-4988-899c-aa126a7e6c84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ncrit</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-081e37fc-956e-4c98-bc27-9a26473b902c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-081e37fc-956e-4c98-bc27-9a26473b902c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f634ef93-d0e0-47a0-b026-12408e9c9824' class='xr-var-data-in' type='checkbox'><label for='data-f634ef93-d0e0-47a0-b026-12408e9c9824' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd></dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5549,7 +5547,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigation</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e596e68c-cf12-4326-aee6-9cbdb82db335' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e596e68c-cf12-4326-aee6-9cbdb82db335' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-727f8523-83c1-452c-a69d-ce625d178500' class='xr-var-data-in' type='checkbox'><label for='data-727f8523-83c1-452c-a69d-ce625d178500' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>irrigation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>irrigation</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-3ede8f41-a886-4441-af8f-a350be97d9d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ede8f41-a886-4441-af8f-a350be97d9d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60e8495b-3e4c-4829-b11b-3531e3e24e41' class='xr-var-data-in' type='checkbox'><label for='data-60e8495b-3e4c-4829-b11b-3531e3e24e41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd><dt><span>long_name :</span></dt><dd>irrigation</dd></dl></div><div class='xr-var-data'><pre>array([[[0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        ...,\n",
@@ -5589,7 +5587,7 @@
        "        ...,\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
        "        [0., 0., 0., ..., 0., 0., 0.],\n",
-       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-980ece49-ea44-428e-93ae-3bf781e0fa2a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-980ece49-ea44-428e-93ae-3bf781e0fa2a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "        [0., 0., 0., ..., 0., 0., 0.]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d59656ff-b63f-4ad2-8b50-835e7adab78d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d59656ff-b63f-4ad2-8b50-835e7adab78d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -5601,9 +5599,9 @@
        "Dimensions without coordinates: time\n",
        "Data variables: (12/111)\n",
        "    rain                         (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0\n",
-       "    tpMoy                        (time, y, x) float32 nan nan ... 26.06 25.87\n",
-       "    ET0                          (time, y, x) float32 nan nan ... 3.446 3.293\n",
-       "    rg                           (time, y, x) float32 nan nan ... 22.38 22.37\n",
+       "    tpMoy                        (time, y, x) float32 nan nan ... 23.14 23.08\n",
+       "    ET0                          (time, y, x) float32 nan nan ... 2.131 1.954\n",
+       "    rg                           (time, y, x) float32 nan nan ... 18.82 18.29\n",
        "    profRu                       (y, x) float32 1.15e+03 1.15e+03 ... 1.5e+03\n",
        "    epaisseurSurf                (y, x) float32 200.0 200.0 ... 200.0 200.0\n",
        "    ...                           ...\n",
@@ -5615,7 +5613,7 @@
        "    irrigation                   (time, y, x) float32 0.0 0.0 0.0 ... 0.0 0.0"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5642,14 +5640,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 274/274 [03:25<00:00,  1.33it/s]\n"
+      "100%|██████████| 274/274 [04:28<00:00,  1.02it/s]\n"
      ]
     }
    ],
@@ -5667,12 +5665,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5684,7 +5682,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5696,7 +5694,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5708,7 +5706,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5720,7 +5718,7 @@
     },
     {
      "data": {
-      "image/png": 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fXTDjC+K9ltZlIrJGRMIi0tqHsOKko9ZzORv4EyfEXPMqHkpJI7sNNcJ9Td29n1pVd0X/LQJeBcbG2jfea2mtBi4Bmv0LY8XfyVrMPBawkTyW0PbSQ24qJa1Nhf/9rPGc2o2kFpFMEclq/Br4EsQut+plNdFFIjLwqOfWRQPz6m2tNkjVBu7nI37O6SwT57W5vVJBGpnUez4gFy8uDpT1AF6N5k0H4DlVfTPWzr49pxaRWcAsgPSAjIj6TWNX1w8JDZGBuCLtxHGUsKmNpYX9RhEanA+UtXws1S3g/OK9b4caVXVudD3eMakkZu1nvwuhpFOP+Gj1ozcZyIVsNh2GKwK3Qoflc6rcwie8wpA23x7ppb9xHOPZTU8tNx3KMVGXB8rawiZ1kjqPrXSjimc50XQon1MqHdlDZ/KpMh3KMVMVR5vbPDunjq6ldTaRC+uFwGwii9D/BsgH/i4iK1T1XK9isJrXR8u4gdXcwdnUi/m/6wvDLx35+iL5Cv0pbfNyPf4TwBs6YqylBZFrbJYhKRrmLgr4P05kh2SbDucLMqmjig4JvzoH4Ekr7ETi/+SsNrmKdZSRxusMNh3KEdNDlx35OkQ6dYQ4SfcndPUTVWgIm0lq830vK26G6wG+zBZ+yRijM8daEpYQz3Ii17M6khkJzI5+W57K0DrupoBHOJWDkmE6nBYtpD951HAqRaZDaTfF3ECZTeokcRkbWUtXPpA+pkNpVVhC/DHhW2tnl7PsJS2rXdK1ngvYzDMMNx2KY4voSxa1DKHEdCjtpupsc5sdKEsCp7GPzeSyK3JPQEIIoaQRpi6B2x1To9+J+xNzUdPrpEF0Bnv4yPAdWG3Vn1Kq6OBqUcN4iox+hxxtbrNJzecvqQSNqHIGe4zfVtlWVaSSQw3n6HY6aZ3pcNrFVPc76ZM66K30IA5TQSp7JLEK5O+VTH7LKUymkHksoL+Wmg6pzezot+WJwZTwWYJOufyn9OeHMpHXGMylbDQdTpsozhLaJrXVZsdxmC0k5nlpo/kMYhx7mBCp6JMw1OHmtqRP6iCfT0Ok+701wZO6RNK5j4l8j2W+uve7RQoaFkeb25I+qYNuUABaaoCN0oUwQh7VpkNxzHa/LdflaTUdCLMff08LdWoJvbiGtQnTWtvRb8t1E9nFx/Tw7c0bbfU7RjGAUu5kKSkaNh1Oi+zcb8sTE9nNIvqZDsM1FZLG3Uwim1pms5g0bTAdUmwKqDjbXGaTOsBKArbiBUCNdOCHTKCSDvyUf/l6YortflvuUqUXFZQGsBJrg4T4GWPZSRZ3UeDTO7mcjXw7Hf0WkRQR+URE/tbavjapAyhVG7iR1WRQz+IEmx7qlIrwKKPpThVXsc50OM1z90L1reDsg3pZeHAeMBMoUtUR0ee6AC8AA4FtwOWqesirGJJFSJUzKWQUxeRTxfGU8Bm53MUkwj4oLOiVegkxR8fzMO+RofXM42T/rOyh7t2lJSJ9gS8DPwFub23/eK+ldTfwtqoOAd6OPraO0eVs4Eo2sJMs3mQgdzOJ2TKREkk3HZrn9kom32IaQznEb3ib4XrAdEj/5l5L/T/AnYCjIf+4rqUFXESkbDDA08C7wF1exZAsJlHI7xjFqhjrSgddqXTkTp3MNHZwPx9Roh35Gaez3fhtm45b6pjrU4tIY2/3YxE528nB4l0koYeq7ol+vZfIwl/WMdpMLsM4xCo8TmpVTmMfXaimM3VkUdvk38jXe8hkJfmsJJ/dZLbrGnkHDTOJQvpQTiphKunAp+SzgS6xVxMR4W0GsFLzuYNlPMFCrtTz2S8G12Fzfim9pfWpJwIXisj5QDqQLSLPqOrXYx3MWOUTVVURidn5sAvkObeZXAZy2PP3GcM+7qGAJfSknDTKSGUPmWwkjzJSqSSVfpRxCkVcyxoUYaV2O5LkhXQ+kuS9tZwJ7GYse0ijgX1ksoaulNKRC6Jraa2iGzWkkEc132cZ6dTzgfbhffqwmm6EgZ5UMpJiTmY/IykmkzpW0Y3/ZSQlGDz9aLxOfayHUb0HuAcg2lJ/r6WEhvgn9T4R6aWqe0SkF8QuFxntfswFyJYufrxm4Qup2sDFbOJ3zhdFbLcvsY0XGMaLMizmPqvI5w2OA1V6U8FIihlJMVexjhSU7ZpNF6rJopbF9OIVhlBOGn0p4yQO0Jk63qcPr3H85wa9HgP6aylnsoub+JR+lCJAOalH/mi8zBB2kO2btcFMXWmLd1K/DlwLPBT997U4v3/gnMo+DpBOgXh76WqAHuYUivkVsXqJRxFhN53ZTWfeZBCo0pNKelNOBalsJO9zybeGbixgUIuH3CHZPEc2zzGcdK2nAYnUMPNJEn+By0mtqu8SGYdqUbzX0noIeFFEbgS2A5d79f7J4hDp9KSCrlrFAa/qeatyHWt4hSFUt3c5HBH2ksleMl0Jqd1xxFPQlt1pYS2taV69ZzLaKF34qw5mDh/ybZ3qSat1AVvoQzk/5QzXjx1ksUeMvBXcmQlx4Jf6Zq8xmMGU0Il6dw+syn/oOr7GBuYwnlpJcff4QaYCYYebyxKgD2O1Zho7+IheVEqqewdV5VaWM5RDfIcpvl+qx5eSZKDM8sAI9vMRvV095nlsZRiHuJ2zE+P81Y9s9zvx+KW+2XEcZpOLJYt6azk3spqHGGsT+lgYqjxo/8cCoCtVFLk4QeerbOQjevlyUfqE4dLkk/awLXWC66R1pNNABWmuHXM+gxhNEdfqakLRGRQLwy8d2SxnRJ1tbrMtdYKbyg4W09vVWw43SR7f0mn8gCU8yAc8oON9c6qRUPx6Ti0it4hIYi7xEFAhVXprOVfoeq5mLX9vZSZWe5RIOncxiWpSEqveto+YaqmddL97AEtF5EURmSHi1zl5wZaqDZyrW3lE3+Z1XuVh3qM35dzPRD4Rb252C0fLBvWkgmtZ48l7BJqhwoOtdr9V9T4RuR/4EnA98KiIvAg8qaqbXY/I+oJeWs7DLGIb2fyRk1hNt7iNStdKCj/Uifyad9irmbwp7vcKAsmrNXUccPSbEb1Nci+Re6DrgTzgZRFZqKp3ehlgssvSGmazmJcYymtyvJEYDktHfqBn8ivepVgz+Fh6Gokj4fj4nPpWEfkY+DnwAXCyqt4EnAZ81eP4kla61nODruIpFlBAT15jsNF4dkkWDzKOu1jKQPX+3u0gkLCzzW1OWuouwCWqur3pk6oajpZasTxwCZ9xJRu4nbN8U6ZoteTzex3FT3if7+hU7+4KCwq/ttSqOvvohG7yPZ/WZk18CxnAWwxgOs3+6I35p/Tnrwzmx3xAho8L6ZvmdOTb1Oi3ZUCxdOJlhnAiPqqOGfUnhrGRPH7AEkI+X9PKKLvsjnW0FJR6P/4XifAIowmhfItPTUfjX4bmfvvwN8ZqNJHdrKWr6TCa1SAhfsw4prPN1+tZmWS739bndNUqLmQzLxC7yJ9plZLKKvKZyg7TofiPmhv9tkntU1ezlvkMZJ+4U9PLK08wgmtYy0zd7NOF6gyy3W+rUY7WMJlCX7fSjbZKLrcxhQvZzG0sJ9XPa0bHWzIldXRCy2oRWSMit5mIwc9OppjVdKNMEmMZ2t3SmVuZQg41PMx7dNEq0yH5glvn1CKSLiIFIvJpNGfmtLR/3JNaREYA3wDGAqOAmSKG5j/6WKJ1ZKsklR8xngJ68Sjv+GuhusRXA0xV1VHAKcAMERkXa2cTLfVwYImqVqpqPfAecImBOHxrL5n0pNLT9/Ci4IGK8JwM5xFGM4cPOVe3unr8hONS91sjyqMPU6NbzFeaSOrVwCQR6SoinYDzgX5H7yQis0RkmYgsq6Mm7kGalEsNh/C2691Y9MCL5P5IenMHZ3E5G/m2fkJKMk5QcXn0W0RSRGQFkaWqFqrqklj7xr3yiaquE5GfAW8BFcAK4AujK8m8llZ3Kl2tORZL02omTRPbjSonOyWbW3Qq97CEn7OIB3VcUqyX/TnOf2tjLmV75FCqDcApIpILvCoiI1R1dXMHMzJQpqpPquppqjoZOARsNBGHX/WIU1J7rVJS+SETWUk3HuUdhugh0yHFjdCmgbL9qjqmyTY31nFVtQT4JzAj1j5GapSJSHdVLRKR/kTOp2Oe9Cej7lSynO5xf9+mXfLmnm8PFeFpRrBZc/kv/sVjOoq3ZcAxxZkwXOpfikg+UKeqJSKSAUwHfhZrf1OFB18Rka5AHfCt6F8fK6oHFXFrqVs6n3az2OD70pdCzeIBPuR4LWE+gzhEOmXiXhVUX3F3Cmgv4GkRSSHSu35RVf8Wa2cjSa2qk0y8byJI0wYGc5hN5JoOxXXbJIdbdBrf5WN+zPtkUs9cHckCBvh3Odpj4dL4oKquBEY73d+WCPaJAXqYGWyjH2UsoRcVcWrBmmuNvSwHXCZp/IjxQOQz/5CPyKWaFzjBs/c0xa56meRuZTlphFlJPv/DqabDiYvtksNsJvBltjBRd5kOx32GponaltoH+mkpfSnnLiZTl2TLxRZKFs/qcGayhU81n/KgnGMbrCZqW2qTVBmre/gRH/IcJyRdQjdaTg8yqOcZ3uARfZsBASlsaJfdCSpVJrCbbeQwiULGspdP6M4mcrmcDWRRxxOczAcuL0WbSIqlE7cxhZAq57KN/+J9Zun0uI0reMbPdb+t9gsBc1gMwL/ow58YxgR2M5oi5jOItxng6jpYiSwswnwGMUQPcT1reNT5gK8veVEAwQmb1B4Li/CMDieLWh6VyC/pUnoZjsrf/sAInmABBdqTAknQn5U9pw62d+nLGPaZDiNhlEkaDzCB77GMM3S36XDaRdqwuc0mtcdStYGv8hkHPb7rKmjWSVfuZyLfYxl9tcx0OO2TTJVPkkE/LaWbVnIDq8mnivs403RICWeDdOFVhnAl602H0i529DtAbtRVR1bWKCKDOUygUlINR5WYXmcwTzOffK2kWBLszjU7+h0MXbWK89nC9cygNEFqjPlZuaSxQAfyVTbyGKeYDsc5NTf6bbvfLhvEYTaRZxPaRa8wlOlsJ0sTrAKOPacOhrAn45nJ7YBk8AF9uIjNpkNpE7tCR0AU0YleVJgOI3BeYigXspl0rTcdinO2pQ6GXXQmmxo6a63pUAJlp2Szhq6cyzbToThmW+qAUBGK6UQPj0v8JqMXGMZlbEyM6qRKpEiCk81lNqldNkwPkkMNO8gyHUrgrJeu7CaTs9lpOpRWtbHwoKtsUruoo9ZzNwX8htFJexul115kGJewyXQYziTTObWIfDe6JtBqEXleJBgFoUdRzEHS+Zf0NR1KYC2nO70oT4j1ukTV0eY2E2tp9QG+A4xR1RFACnBFvOPwQiZ1HCAQf598KywhPqG7/2+QcdpKB6WlJjKTLUNEOgCdgMS8FecoJXSkC9Wmwwi8Anoyhr2mw2hV0pxTq+ou4BfADmAPcFhV3zp6v0RcS2sTuRxPCaFEGJ1NYMvoyWkU+f7n7OZaWm1hovudB1wEDAJ6A5ki8vWj91PVuY3LkKQmyG2Lx1NCAyE7+uixA5JBMRkM45DpUFrmUvdbRPqJyD9FZG10LOrWlvY38ft3DrBVVYtVtQ74MzDBQByuGqQl3EMBsxlPvdi09tpSejLez2dtDrveDrvf9cAdqnoikSWqviUiJ8ba2cRv3w5gnIh0EhEBpgHrDMThmjRt4F4KmMtIVku+6XCSwkIG8CW2+3siiksttaruUdXl0a/LiORLn1j7mzinXgK8DCwHVkVjiLnKXyKYxUq2kMM/6G86lKSxQ7LZSdaR+9b9po2TT7o1jh9Ft1kxjysykMgSPP5ZnxpAVWcDs028t9vG6W7GsodvMj2Y60H52OOczAMs5kQ9wFq6spJ8dktn02EdIWHHQ9v7VXVMq8cT6Qy8AtymqqWx9rMnf8egk9ZxG8v5GWNtZRMDNkoXbmYau+jMGezhCRaYDunfXL5OLSKpRBL6WVX9c0v72sonx+BK1lNAT9ZIN9OhJK0SSecFTiBLa3iKN02H8zluXa6Kjj09CaxT1V+1tr9tqdspQ+uYyRae5iTToVhEzmHVbwUq3GupJwJXA1NFZEV0Oz/WzralbqcBlLKbzhyQDNOhWEAuNVTgr1Mgt2aLqer7tKFEuE3qdjpMR3KpBlU7QOYDwznAerqYDuPflMjvhgG2+91Oe8gkBbXFEPxAlQvZwr/w191xpqaJ2pa6nU5jH+nUU4O9b9q06WwnhbCvVg5tvE5tgk3qduihFdxDAfczkZJg3AqesAboYWaxku9zFuqn0yBVY91vm9Rt1FWr+C/e51mGs8pOCTUqRcPcwTL+yElskxzT4XyBbakTQDet5BcsYj4DeVWGmA4n6V3Pag7Tkb9ynOlQmmeT2t+6awUPs4i/chwvyzDT4SS9fK3ka2zkMmb69uqDqZbajn47kKF1/JxF/IXjbUL7xCkUATCQmFOgzVKgQZ1tLrMttQOzWMUq8m2X2ydG6z6+yUoe5Aw+xb/jGvac2qdO1X2MZQ+zmG46lKSXqbVcxTqmspMHGccK6W46pJbZ0W//GaN7uZOl/JSxVEia6XCS2jTdzv9jJYvpzU2cw6EEuJRoW2ofmsVK8qih0K62YdRX9DMuZhP3cCabJc90OM54VP7XCTtQ1oKbOYenOZG7KSBkqCuV7FI0zJWs5z4mJk5CE51R1qCONrfZpG5BvYR4juEAXMpGw9Ekp5lsYRO57JRs06G0WdKs0JFowiL8jNO5mM+YpIWmw0k6p1DEAgaaDqPtknCFjoRSJJncz0RuZXliLXoeAOWkkUki/sz13/O/W9tcZqKY/7Am1RtWiEipiNwW7zic6qR1zNYPeYR3SEFNjX0kpUlayOnspYjELERhatmduI9+q+oG4BQAEUkBdgGvtvSaHGoIaZhwnIvk52slc/iQ9XThSmYiKDViLxjEQ75WcivLmc2ExK0Bl6TXqacBm1W1xeLN2dQwl4W8rEN5j75UeVy5M00bmMFWzmE7q+nG7xjl2/nFQTWOPSyhVwInNJ6MbDth+pz6CuD55r7RdIG8LaTxGKMYxx6e4w1u1hVkaJ0nAaVpAzexgpls4QP6MI8RNqENOIUiPsHnM8Zak2wDZSKSBlwIvNTc9z+/QF46y6QnD8gErudccqnmVpa7HtMAPcxcFtKZOu5kMi/ICVTb7nbcddI6TqWIAnqaDuWYmLqkZfI39jxguaq2afXwEknn13oqz/IGGVrnWld8uB7gAT7kcUbyDxngyjGt9jmbnXxCd0olMVY7jSkJCw9eSYyud2sqJI0dZDHUpaVMGwfEfskYm9CGiSoXsZn5iXhtuikFwg63VojIPBEpEpHVTt7aSFKLSCYwncgytu2yiL7MZIsr8UymkI/oRYH0cuV4Vvudzl7qEZYmetcbZ11vh93vp4AZTt/bSFKraoWqdlXVw+09xhscxyAO8x1dzjjdTb5Wtru78xl5nM5eumpVe8OxXHI+W5nPoGAMTobDzrZWqOoi4KDTtzU9+t1ulZLK9zmLClK5kM38lrd5gMXtGhVfKfmsJJ/T2etBpJYTw/UAD+kielPOPwjAKVDbut+Ol7J1IqGHdg9JOk9yMgAdNMw9LOEq1vEEI9t8rBxqOEyCD8wkqMt1AxexiWcYzkIGUh/nSUZeacPItqOlbJ0Kxk+PyB1Vf2AEU9nZ5td21SqGcMjXpXGCKk+ruYL1fIepzJfjApPQgLG53wndUh9tPxlkU9Pm113IZt6lv11j2oAL2Mx79AvgQoPmivkH6M8ihFDCbVjOtKtWMUV3cB5beYGhHkZmNSdVG5jJFl7leNOhuM/FaqIi8jywGBgmIoUicmNL+weqpa4lhVTCiGqrS7B8U1cwne1sJYc5jKdIMuMUpdVoKjv4jFx2JGABBCfcmi2mqle2Zf9AJXW9hNivGfShvMW6YsfrISaxi6s533a5TVHlEjYxNzrQGUi2++2OdXThhFYu6Y2kmA/pbRPaoNEUEUL5mB6mQ/GGAmF1trkscEn9Cd2ZyK6Y3w9pmNPZxxZy4xeU9QUXs4k/c3wwJpk0y1zlk0B1vwHepR/Xs4YbdRWC0o0qUgnTjSoqSKUfZWwlh3foZzrUZi0MR25amx66zHAk3umjZZzAQX7MONOheCtJiyS4rkpSuVMnM5lCakhhGzlkUE8lHagklX10Yovkmg4zaYkqt/MxLzGUWkkxHY53FGhwcLeGBwKX1ADbJIdt5JgOo10aW+iF4ZcC2VrnUMNgSvg+Z5kOxWMKapPaaiKICd2oA2HCgT2XbsJ2v62ga+x6vxbEySZHaxz9NsAmtRUXeVrN9awmmxr+wHjT4cSHbamtIMrXSr7GBqawg7cZwL1MCtZNGy2xSW0FRao28A1WkU8lI9nPGwziRs6lJAGWn3WNKjQ0GHlrm9SWu1S5mU/pTylvMIhfMYayZF3b27bUVqLL0hruoYDO1HI3k+003GSa+y0iuSLysoisF5F1IpIkIyfB9hD/opAsvsfZNqFxOO/bgxFyUy31r4E3VfXSaFH/TobisFyQpg3cyxIGUMp3mRLsmWJOKWiyTD4RkRxgMnAdgKrWArXxjsNyTxa1TGQ3v+JUm9BNGZomaqL7PQgoBv4gIp+IyBPROuCf03Qtrbp2lCiy4ueAZPAwY7iGtfTTUtPh+IOqayWC28pEUncATgV+r6qjgQrg7qN3+vxaWrbKp9+9JQP5M0O4mrVHnktTM5d0fCOJbr0sBApVdUn08cs0k9RW4lnIAK5gA/fqRzQQ4hx2ME9P4nkZbjo0I9SDVtiJuLfUqroX2Ckiw6JPTYMmf96thFUi6dzCVAroxTq6cAeTuZhNdNZkHDJJviIJtwDPRke+twDXG4rDctlu6cxuOh95vEVzouWj+hiMyoBku6FDVVcArq1IYPnXATLIpO1LISU6BdTQNNEkmVlvmVJBKp2TMKkjXeuws80BEZkhIhtEZJOItDgGZaeJWp46REf6UmY6DCPUpe63iKQAvyWy/HMhsFREXlfVZseibEtteaov5WwnmMX6W+VeSz0W2KSqW6KTtf4EXBRrZ1FDk87bQkSKge2m42hGN2C/6SA8FPTPB81/xgGqekyrJYrIm9FjO5EOVDd5PFdV5zY51qXADFX9z+jjq4EzVPXbzR0sIbrfx/oD9oqILHNzCVK/CfrnA+8+o6rOcPuYTtnut2X53y74XKH6vtHnmmWT2rL8bykwREQGRed2XAG8HmvnhOh++9jc1ndJaEH/fJAAn1FV60Xk28ACIAWYp6prYu2fEANllmU5Z7vflhUwNqktK2BsUjskIvNEpEhEVjd57uFonbWVIvKqSOKuvNfc52vyvTtEREXE6XVXX4r1GUXkluj/4xoR+bmp+Nxik9q5p4Cjrz0uBEao6khgI3BPvINy0VN88fMhIv2ALwE74h2QB57iqM8oIlOIzM4apaonAb8wEJerbFI7pKqLgINHPfeWqtZHH35E5PphQmru80X9N3AnkRuPElqMz3gT8JCq1kT3KYp7YC6zSe2eG4D5poNwk4hcBOxS1U9Nx+KhocAkEVkiIu+JyOmmAzpW9jq1C0TkB0A98KzpWNwiIp2Ae4l0vYOsA9AFGAecDrwoIsdpAl/rtS31MRKR64CZwFWJ/IvQjMFEKr9+KiLbiJxaLBeRnkajcl8h8GeNKADCOL8Rw5dsS30MRGQGkfPNs1S10nQ8blLVVUD3xsfRxB6jqkG7a+svwBTgnyIyFEgjwe9Msy21QyLyPLAYGCYihSJyI/AokAUsFJEVIvKY0SCPQYzPFygxPuM84LjoZa4/Adcmeo/LThO1rICxLbVlBYxNassKGJvUlhUwNqktK2BsUltWwNiktqyAsUltWQFjkzqAROT06D3e6SKSGb1PeITpuKz4sJNPAkpEfkykSHwGkfXAf2o4JCtObFIHVLSU7FIiKz9MUFUzSzBacWe738HVFehMZG56uuFYrDiyLXVAicjrRG5QGAT0irXukhU89tbLABKRa4A6VX0uugzqhyIyVVXfMR2b5T3bUltWwNhzassKGJvUlhUwNqktK2BsUltWwNiktqyAsUltWQFjk9qyAub/AwL6skZYFbf9AAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5732,7 +5730,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5744,7 +5742,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5756,7 +5754,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5768,7 +5766,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5780,7 +5778,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5792,7 +5790,7 @@
     },
     {
      "data": {
-      "image/png": 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yQ8JSWLKdCSu+5uTi5axo0ZGfjb2VkoxscmRP2H31ZC9bs/NZXNA1CpLGjijUKLOMUeoICTTP9qWkdy4AectLE2YeGC5Dt67kgdmv8WrvETw37gy2Zf9UuijQclSwz6ItFWzf3XC5nE5MUaDGWGp7ifbSh5WgWd7y0qiNHw+M2bCIuxa8x29GXMeSgkK/bYIVKvCndPmLSyk/+NPXMlLlDLaWHiuM+22IK3IqK2hbvo8NuQVUpjY54rkz1i/kklWzaHOghF+Mnsza5vYdbrc2rw1DtyXBmdVRyhazQtIqtZMJCvWDcvVL69RZ8Dr3PN4YtGMtD858mX0Z2bQr38uc9r14q8dJrMzvyKWrZnLpqlk8OOxSlrbsQkWTjID9BLKygTarpLhruWXRx/xt8AWW5HTaxQ6G3UUSRGQDsB+oBWpUdXCgtkmr1HXYXXwu0Bw6nOh6vCozwAnbVvPHWVO5/+Qr+bZtD7KrDjJ+3QLum/cmHfbvYV67Hkw64xa2ZYc+f7o+gf4v6u53LttJrbiY3eHIzzjQfDyUQjudeRYFSz1SVUNGHBJeqUOtP1utmGH1C1B/rEBKHkyuQLnYTtOldAd/mvUK94y4jiJv9Lm8SVPe7HkKb/Y8BZfbjdtlfZ4YKGe87vOu//5bV5QcEWjz10dDrXOsrLspkmBwHJfbzR9mTeWpgeMPK3R9wlHoiGRQpdah87TsRhFq3JbfS0sRWeDzeIqfky8V+ExEFPi3n+cPk/BKbUdSSUPcNH8JKe5Fyz17pReF7t/peWGdbMNPbEJVSirvHzM0KuNYeY+l6ZnkVAavR2lnJByi+/mHMafeHWyO7OVkVd0iIgV4avyt9B6YcRSxPkvrEhFZJiJuEQn1JsIm2imXodqV9M6lpHfuYeWuKyAQaL227gtltbBetEjXGq5e9hUv9R191JlXEJ25qb/3XZqeRW5lha1j+M7jQ+2KsxW1dz+1qm7x/rsTeBcYEqhtrM/SWgpcCPj9hTHEnn66i+f5lOUtOjK7/dF7nmNJaXomOVXJUTm6bk5th1KLSJaINKv7GzgDfMqt1iOa1US/EZEu9e6t8Apmyxj1A1y+rpSd1iWQpXUN6u03ku3vXrA604HqktlN/f7Tamv4PfN4hBNYsK4NOtzZ+Wx5WlOyqisDBuSsfDaBlgudmOLYGChrDbzr1ZtU4FVV/SRQ47iNSojIJBFZICILqqn02ybUqYvhEKiPYFsTrS5NBVuS8XVDIy3Fa5X6/edVVqAZaXx51QWH7wUa1/c5O+uq+f4wu10udmTl0X3f1ojHrpsChSLaUx5FqHW7LF0h+1Jdp6oDvFcfVf1zsPZxq9SqOsV7Hu/gNALXfjZEjqibjJoqJI5OmPyg21AuXj3baTFswY1YuuwmoaPfVosGRNpvfesQqUcQSk5/7ncwr8GO91l25TB+//XzvFPTlWavzg+rX7s+Z3+W8t3uw3jjw0dot38PW5v5T3AJ9jlYzdaLZLNJOKiadWrLWM0isppQ4i8KW/8/OVpumm/0u26sULJGOkZ9zvtxPgUHSrn3ituoSUkNWrAw0rFD4S8yXTphOFuataDgQMlRSl3/88pbXnqU8kaSrRet+bYmm1J7z9I6Dc/CejFwP55D6P8FtAI+FpEiVR1r57h2/gdFe6dXqPI8dgTO/L2+Y9kubir6f0w+4xZqUlIDtvNnzQJlgzWE6e63Dv99npxPYdoOVrTo6Let0+v61knCDR0BztICzxqbwSFS3LU8MPtVnu1/BhtyWzstzlFkUU1FavpRO8MSkaSz1NHCn2tsdSdQqP58+/V9LlRGUv3XRdrOah0vf/etWq+JP0ynLD2Tt489KWi7UPW9Ixk7EEOv/vvhv1OuPI2a9+fRf+d6v3u0o22l7doDrwq1bqPUlggWdPIXaIpkQ0c4c8lwv2TBigVEOpZVGfru2sAFa+Zx9fi7/GaOBeozUC5ANKh1pfBc/zFMLprGzWNuOkLOxHC7fyLpzqc2xBeZ1Yf4w+xXeXjIRezJzHFanKBMKzyeFofKGLJ9tdOiRIzicb+tXHaTcJY6WAZWqGCPbx++zwd7HMiN9/e6UOOEuhepJbJiPScs/5ofWnVhRqd+lvqrj90udzBqXSk8038sk4um8W2bY2NqoUt658JCO3pKwkBZtPCnxJEohZXUTCsufLAxrbrLgX40rBJqTTujppKLVs/hxrG3BuzD6hw6XNki5YvOA5hcNI2ee4tZGSASHu+oOjNuwim1IXyGbl3N6ubt2JzTymlRLONSJd1dQ7Urcb+iJvrdAMLdEFG/zfyX7zocgfUXMLMzJzsaCSah+jl5y3Jmdejjt52/9xiNtehwKSzdQUVqetCihk7LGAxP9NsckGeJuuwjK3tjrUa+fZdU6lJBgy2TRTspxQpWxxd1c9KWFVHbVhktpapIS6d5ZTnj1i0gq+pgTMe2C1Vrl90knFLD0bt7/BHqV7zuh2H+y3cddd93HN+2vimlTn+hrI5/TMl2ytMy2NKsZcB+IvkxjDbbslvwt8EXMHbO17zx4SMUlmw/qk08yBkMp6LfCanUBut037uFlS06OC1GRHxWeBz/IyfxVo+TuHLFDKfFCQvFmkIbpa5HuNYykNte36W3stc2HCsRbMoQKOklnH6D9XlMyTZ+zAs8L/WHryfktDUsmzCcD7sN5eQtyzl18w9HPRfPqMXLbkSdiruHQY7k61AZDURvvdTf+nO4WWn++vP3XCz55xf/5vWepzLHwpw60PtuSFqqXfTavYl/ffIkYyb8BY1yxdFvX/nl9xYKAQYlo1t77fTwZEtt11zyPw0ez5eEttSG0ByzL3xLHY+saNkJN0L+wXKnRbGMySiLgHCsRTDrEmxTSLCxg2WbxYNrmH+wjFR3DTszre0xrr80GE7mXiyY1bU/k5Z8ykNDL4q6tbYDp5zg+P9kGoBVFzjUc1YixE7PPf0xYvNSvm3bI+TmjfoESp31jTn4Equ5998Hn09h6Xbun/M6Ke7aqI/XEJzM/U5qpQ4nacT3i1lfkf0tY/l7Ll4sdB2nbf6BzzsPOOKev4CgvwCh1R/BWP64lTdpyq2jf05uZQUPz3iR9JrqqI3VYBRQsXbZTFIrdWNnX3o2uSFOvEg0KlOb8KvTJlKRls5jX04JmJgSDziVfJLQc+r6hLMpwWp5nmDzyVBWOdzNGbZGlVVpV7GXr9L7H3E72OYMK9Y5HhJval0pPHDSldwz/788MOc1fj3ienJenee4XEciqI1FEkQkBVgAbFHVs4O1TWhLHajYgBV8XeVIvgxW5pHhuuN2fSnTamu4uehjMqsrmdXB/6mcdYS7Pu/vdb7YmScfDBUXj55wAa0r9jHxh8/jTKG92LtQfTuwwkrDaBYefB44G9ipqn299/KBN4AuwAbgUlXdFy0ZGgsut5uRm5dw3I61FFSU0HPfFlbmd+C20T+n1pXitHhRoyYlld+MuI4npz9F05pKnho4Puonc1pG7dulJSIdgLOAPwN3hWgeVff7ReBx4D8+9+4BvlDVh0TkHu/j30Q6gJVf54YWILDqzjvJ1cu/YvTGIj7qNoT5bY/liZwCy0UF/bnV/pbqAlngSFcV7GJbdguuG3cHf5n5Mi988hiPnnAhS1t1jvq4lrBvvvwP4G6gmZXGMT1LCzgPT9lggJeAr2mAUlshnPlsuK/xfZ2TSj5q0xL+Pvh8ilp3C+t1weIMgdr520jj9GdQmpHNLadP5sz1C/nfmS+xNz2bB066kvV5bRyR5ycsW+qA51OLSJ23+72InGals1gHylqr6jbv39vxHPxlaCCrmrej957NYSt12KgydNtqOugGsqmmGVU0+W47LXQT2VTR9NMFbMluwcLW3VjUuhvF2S3CXiMHSK2tYdSmJXTcv5s0dw0VaRksbN2N5S06Bk46EeGTrsezqHVXfjv3DV7/6FHOueD37MzKa9h7bgjWTzMKdj71ScC5IjIeyAByROQVVb0qUGeORb9VVUUkoIMiIpOASQAZZEZdHquuvBOlfUKxpnk7uvnZmhgOVt7H0G2rePDLl5hV2I/K9RXsJ40tzVqwgUr2k8augQPpUraTwdvXMGnxJyDCwoKuLGrdjYUF3diU0+qwknfYv5tTNy/lxK0rSK+pZlt2PktadaE0PYsLV88BoKigK5UpabQ4uJ/fz3mdzJpKvu7Yj6869Wdxq0LcIrSt2MtxO9YyaOc6Bu1YR3b1QRYVdOOx486h5t1l5IjLmf+junXqhnajei9wL4DXUv8qmEJD7JV6h4i0VdVtItIW2Bmoodf9mAKeDR2xEtAf8ZgtVkeT2mouWzWL/zv+vLBeF8xlDrRsdc7a73hp0Bhe6TOKnA3ez+R7KLvq8sNtilp3473uw0GVDuV7GLRjLcftWMv1P3xOqruWdXltaHmwjJzKA8zs0IfXeo5gf5OmdC7bSb9dG8ipOsjXnfrx1rEn1wt6nUeX0h2M3LSEOxe8R+eynYh6ElIWtu7KooJuTO11GhtyC36y5sED/1GnsdQo+wC4FnjI++/7MR4fCH+tNZIgUTTk8McJ29awq2kOs0MsXdUn3HELS7Zz/I4f+fOwS629XoTiZi0pbtaSD48ZCqq0rdhLx/27KU9ryooWHY5wpZcUFHraefH3o7MhtzUv9BvDC/3G0LS6klqXiypXakQufkywWalV9Ws8caigxPosrYeAN0XkBmAjcGm0xm8s7M3Ipn35HloeKGW3xY0bYaPK5MXTeLXXCA6mRXissAjbsluwLdv/SZbhErEcscShwoNRW9RT1StUta2qpqlqB1V9TlX3qOpoVe2uqqer6t5ojR+MSK1jOIkZdf9G23Vf0bIT/z32JB79+oWI/D0rhRYuWj2HDvt382aPU4K+Nzvfa7zl0UeCqLXLbpIqTTTa1P+S+VYh9dcu0LbMQP1Fyls9TmLS4k/Iqq6koklGWK8NKoMq1y39ggsXz+CWc2+jMjWNyiBZeImuhLaiAuYsLUOkjF2/kJkd+oSt0EFR5Z75b9NrbzG3MTKhaobHDY0kUJY05EydCy8Hfz5WhQUG7lwXMsc7XMaxnl57djD5jFtCzl/jpXRTOMQkYcYUSUg8/LneEPudTN33bWN183YN6uOIAojndmdi+koe3deHtDcXWp4rJ4pCQ4zm7A5VHjRKnQS0PFjK9qzmtvV3xYoZzGrfh00S36djxjUOFkkw7neEhLuRwZ+7Z4dFz6o6SEZNNeVpTRvUjy8fdBvKozOe54o+uTzTfyxul+uIQw/qeyjxtNc6nohGZNsKCafUiTh/g+hFi8duWMTMDn0i3nLoz7Ve1aID146/k4fefoLHli7lAYYz1M9r6+OvtlkiYfuPUrzOqUXkVhGxz7drIPFYCyzWuNxuOuzfzbVLv+BnSz7j3e7DIuonmALuy2jGzVf+mvJOBdzeZQOi1nYnJPL/i92yx/M6dWvgOxFZCDwPfKqJcAJAktGktpqx6xdy/pp5HFOyldL0LOa17cEvT5vIipadojJmrSuFB068kic+f4pJiz/l3wPHRWWcpCVej7JV1d+JyO+BM4DrgcdF5E3gOVVdG20BDdB+/26e+Pxp1uW24ZkBYykqKORQqj1pkqGsU2VqGr86bSLPfvJPtmbnH5GfHWmfjYJonaljAUsTMa9l3u69aoDmwNsi8kgUZTMAOd5yuFN7jeCuUT9jXrueYSl0qAMJrFCSkc2do27kpqJpDN26yvLYjZ54XdISkdtF5HvgEWA20E9VbwKOBy6yXyQDQNPqSm5e9DFvv/8Qc9r34q0eJzsqz+acVtx36jU8MPtVuu3bFvoFBsRt7bIbK5Y6H7hQVceq6luqWg2gqm48hQUNIYhko8NlK2dy7bIvuXvEdTw56KyItxfa6QoXFXTl/wafx9+/epaWB0pt6zdpcchSW5lT3x/kOUslSxs7vks9VpVsWtfj6bR/F2etWxB2maJwlpXCXYL6rPA42lbs4+9fPcvkM27hQJqN+eZJRLQi21ZIuHXqRCVci7kjqzmv9hrBg7NeiepYkVjyl/qMol35Hh6c+Qq/Pu36pC5D3CCSbT+1oeGkuN3UxOPpjiI8MuQiXOrmrgXvOS1N/BKvgTKDc4woXsqSVl2cFsMvta4UfnvKNYxftyCuz7NyEqeST4xSxyktD5Ry8arZvNxnlNOiBKSiSQZFBV0Zu2GR06LEHxrf0W+DA9y45DM+OGYI27LznRYlKE8MOosbl3zKBavnOFc+M14x7rehjrxD5YzatJj/xLGVruPH5u24ceytXLJqNvfOf5u02hqnRYofGpNSexNalorIMhG5wwkZ4plBO9exuFUhZelZTotiieJmLfnZmbeSW1nBk9OfpMWBMqdFigvsmlOLSIaIfCsii70684dg7WOu1CLSF7gRGAIMAM4WkWNiLUe8o/FayzoAB9IyuPfUa5jTvhcvfvIP+u7a6LRIyUQlMEpVBwADgTNFJODWPCcsdS9gvqoeUNUaYAZwoQNyxC1bs/JpWx7d6snzX77riMIHdqDi4oV+Y3h4yEU8+vXznPPjfFv7Tzhscr/VQ7n3YZr3CvhKJ5R6KXCKiLQQkUxgPNCxfiMRmSQiC0RkQTWVMRfSSZpXlrO3qaVTSyOmrnpJNJR7Voc+TD7jZq5a/hW/+vYdUty1tvafENgc/RaRFBEpwnNU1XRVDfiLGfOMMlVdISIPA58BFUARcNT/ejydpRVr2lTsY3tmXtTH8S1LFKxcUSRszG3NxDNv54+zp/L4509z36nXsC8juj9UcYf1b23Ao2wPd6VaCwwUkTzgXRHpq6pL/XXmSKDMe1rH8ap6KrAPWO2EHPFKm4p97LCxkKBTVDRpyq9Om0hRQVdemPYYPfdsdlqkmCGEFSjbraqDfa4pgfpV1RLgK+DMQG0cyf0WkQJV3SkinfDMpyOrx5OktKko4ds23WM+rq9L7u9+JKi4+PfAcazOb88/vnyGfxx/Hp90Pb5BciYMNvmXItIKqFbVEhFpCowBHg7U3qkNHf8VkRZANXCL99fH4KVt+d6YWepg82k73PA6vurUn405rXjk6xfosbeY97sPY29GM8rSo3/2uCPYmwLaFnhJRFLweNdvqupHgRo7otSqeooT4yYC6TXVdN+3lVX57Z0WxXbW5bVl4rg7uG/em/zfl8+SVX2Ifx5/Dh91PSF+j6NtCDalgKrqEmCQ1fZm62WcUFiynXPWfkuX0p3Mbt+L8ib21fEOhj9rbKeFrk9Zeib3jLgO8Lznh755kfyD+/lP39FRG9MpnNpPbdJE44R75r9Nem01C1t35aGhlzgtTkxYn9eGX4+YyAVr5jFi0w9Oi2M/8Vr5xBB9OpfuoFPZLn5x+mSqUxrXf8mm3AKe73c6F66Zw8LW3difLHPseK8maogSqpxUvJy/fv08L/Q7vdEpdB3z2x5L05oq3n/vQZ6b9hiFJdudFskW4rmYv6EhqHJq8VLW5bVl5KYlnLhlBQvadGdVfnuuXvYVOVUHeHzQ2czo2NdpSR1jZ1ZzJo29FZfbzdlrv+WxL6dw5dm/jllcIWqYGmXJiUuVR2e8CMBXHfvxnz6jGLF5KSdsX8P7xwzlk8LjIz4HK9lwu1x80H0YPfcWM7loGn8dkthbAqJRAMEKRqmjjNvl4rl+Y8ipPHD4Szq3fS+HpYpvnh44ntc/fIS57Xoyu0Nvp8WJDDOnTm6mdx7IsG3mZAurlKVncveI6/nd3Dc4qXi50+JEhIRx2Y1R6iiTVlvDlStmsKexbWZoIEtbdeaXI2/g93Nfp1PpTqfFiYzGVPmkMdC5dAcFFSXcVPT/KDhQwl0jb3BapIRjectOvN7zVK5d9oXTokSEiX4nETcv+ojx675HVNme1ZzfjLiOikSP5DrEf489kf++/xdaJ+LONRP9Tg5aHijl/DXzuOTceyjNyHZanIRnf3omH3UbwhUrvuEfg89zWhzrqHPRb+N+20y3km2syu9gFNpGXus1gvHrviOnssJpUcLDzKmTg0QrGJgI7MrMZUbHflyyarbTooSFOaEjSdie2Zz25XucFiPpeKX3aVy8ajYZNQlUr85Y6uRgc05L8ioraFZ5wGlRkoqNua1ZXFDIOT9+67QoljGWOklQcbEjM482FfucFiXpeLnPSCasmJEY1UkVT5EEK5fNGKW2md67N5FXWcHG3AKnRUk6lrXszJbsFozZUOS0KCEJs/CgrRiltpH0mir+MHsqj55wIVUpaU6Lk5S83Gckl6/8xmkxrNGY5tQicqf3TKClIvKaiGQ4IYfdDN7+I7ub5vBl5wFOi5K0fNemO+3L9yTEeV2iaumyGyfO0moP3AYMVtW+QApweazliAZZ1YfY0zTHaTGSmlpXCt+16c6wbSudFiU4Vq10slhqPJlsTUUkFcgEtjokh63sy8gm/+B+p8VIeua268nwrfG/663RzKlVdQvwV2ATsA0oVdXP6rdLxLO0VuW3p+e+4sSIziYw89r1ZMi21XH/Odt5llY4OOF+NwfOAwqBdkCWiFxVv52qTqk7hiSN9FiLGRE99m6hRlKiMk8y/MSuzFx2ZubSK96P8bHJ/RaRjiLylYgs98aibg/W3gn3+3RgvaruUtVq4B3gRAfksJVj9m3lj7Omcvdp11PTSAsIxpI57XtySjwXULDoelt0v2uAX6pqbzxHVN0iIgFLwjih1JuAYSKSKSICjAZWOCCHbaTXVPOnWa/wz+PPoaigq9PiNAqmFQ7mrHXfxbcLbpOlVtVtqrrQ+/d+PPoS8AgXJ+bU84G3gYXAD14ZAp7ylwjcuvBD1jRvx7TCRnLwWxywPq8Nm3JaMX7dgtCNHSDM5JOWdfEj7zUpYL8iXfAcwRM/51MDqOr9wP1OjG03Jxcv46QtK7jqrLuS8zyoOOZfg87mkW9epN+uDfzQqguLWnejuFlLp8U6jLgtx1Z2q+rgkP2JZAP/Be5Q1YAL9SajrAFkVR3k3nlvcf9JV5rKJg6womUnrhl/J5tzWnHyluW8/uEjTov0EzavU4tIGh6Fnqqq7wRra5S6AVy77Atmt+/FkoJCp0VptOzLaMbLfUbx52GXciC1idPiHIFdS1re2NNzwApVDXl6oVHqCMmsPsSFq+fyzIAznRbFgCclM+4KVNhnqU8CrgZGiUiR9xofqLFZe4mQwtIdFDdrya7MXKdFMQDNKysoT4uvKZBd2WKqOoswSoQbpY6QkvQs8g/tB1UTIIsD+u3awLKWnZwW4ycUz3fDAYz7HSFbsluQ4nbT1hRDcB5VLlo9hy879XdakiNoNGmiycLQbavJqK2m0sZ90zlT59rWV2Ni/LoFpLpr4+rkUCeLJBj3OwLalu/lj7Nf4ZenTWRvU/uO0ymbMNy2vhoLhSXbuW3hh9w85iZU4shGqTrmfhulDpOWB0r5x5dTeKHvGIpad3NanEZNiruW3819g2f6j2VdXlunxTmKaFhhKxilDoOCihKe/PwpPug2hNd7neq0OI2eyUXTKMnI4r/Hxul+IKPU8U2b8r088fnTvHPscKb2Hum0OI2egop9XLP8K8Zd9EDcrj4YSx3HZFYf4vHPn+bNnifzRk9joUNRF/CLZoxg8PYfASgs3W5rXMM2FKg1c+q45daFH1HUuqtR6Dhh8LbV3PH9B9x3ytUsjOO4hrHUccqQbas4ccsKJpz9K6dFSRiiZaGzqw4y8YfpnLFhEfeeeg3ft+kelXFsw0S/44+hW1fywOzX+P3JEyg3u7Ac5cx133P7wg/4pkMfrhl/J3sToGqrsdRxyG0LPyS/spzNOa2cFqVRc+nKmVy2cia3j7qR1fkdnBbHGlEq/2uFOFqtjz+uHXcnU/qP5Q+zX8XldugE8UZOiruW65Z+wV0jb0gchcabUVarli67MUodhJqUVF7oezoAV674Oqw0TpPyaQ8XrJnLqvz2bMxt7bQoYdNoTuhINNwuFw+ceAWXrZzJKVrstDiNjhO2r+Gjbic4LUb4NMITOhKK7dn5/Oq0G7idhZYPPQ8UATYWPDz2N2lKVtUhp8WIAP0p/zvUZTNOFPPv4VO9oUhEykTkjljLUZ+cqXP9KlxW1SEenvECz336T1xpLtT6XnW/mE0b1hm1cTHDt6xkR1Zzp0WJiEazS0tVVwEDAUQkBdgCvBvsNblU4lI37ijuwvGnbK0r9vHI1y+wrGUnzr7wf3CpUhlndbCSlYKKffzm27e5e8T1LE7UWuqNdJ16NLBWVTcGa5RDJVOYztt6LB9VD+JAWnRPvk2vqeactfMZt+57Fhd05e+Dz4vb/OJk5ZTi5cxq3zuBFZqoRLat4PSc+nLgNX9P+B6Qt44mPM0AhrGND975E3d99y6Z1dGZZ6XXVHPngve4cPVcvu7Uj1dWtTAK7QCDd/zIgnjPGAtFYwuUiUgT4FzgLX/PH3lAXgYLpA0PyIlceu495B8q5zfz37ZdpsKS7Uz9+K9kVx/kF6dP5uU+o9h51Sm2j2MITlbVQU7Ytpo57Xo6LUqDaIxLWuOAhaq6I5wX7W3ajIeGXswpW5bbaq377trIE58/zXP9xvC7U66Jz50/jYQxG4tY0KY7pRnZTovSMBpL9NuHKwjgeoeivElT1ue0ptcee9aNCyr28ejXz/Pg8MuY1jXk6SeGKCLq5uJVs3n/mKFOi9IwFHBbvEIgIs+LyE4RWWplaEcCZSKSBYwBfh5pH1927s8Fa+aw5otdh+9Fulw0euMSZnbozZz2vSIVx2ATJ25ZSa0rhbmJ7npjq2v9IvA48B8rjR2x1KpaoaotVLU00j7eO2Y4x5Rs5zZdyDDdSis9ELErs7JFB4ZvXUnLAxGLY7CJ836cx3vHDE2O4KTbbe0Kgap+A+y1OqzT0e+IqWiSwc2nT2Zvn86cy1qe4AsemfFCRPPsRa27sah1N4ZvXRkFSQ1W6LtrA//84t+0L9/DJ8lwJHB47rflo2yt4PQ6dYPY2zSHJwedDYPOJrW2hj/OnsrkN17iWenv1xX3zRirez5n6lzKJgwnr7KCkvSsmMlu+Imrln3Jpatm8Vy/M/i462BqUhL6a3mYMNxvS0fZWiVhLXUddYpak5LK0wPGMTJzxxEK60vZhOFHKXvZhOEUvvIlPfdsZmHrY2IjtOEw+QfLuHbZl0w883be7z4saRQacCz6nUSfIOzMyiWnsiLs153LWqZ3GURFk+hmqhmO5qLVc/i880B2J91Bg84V8094S+1reVPcitaq32qW/lzvVgdKOWP9QsaxnpdN2d+Y06S2mgvXzOWNnkmY4FNXTdTKFQIReQ2YC/QQkWIRuSFY+6Sw1HUKm6pu0kTZf+XQw/f9KXbZhOHcseB9xq/7jh/z2nH3GTeyPTs/9oI3csauX8jK/A5sSMACCFawa0lLVa8Ip31SKHUdNeJiZ2YuHct2sym3IGC7HnuKGblpCRec/1sqTEFBZ1DlspUz+ddx5zgtSfRopLu0bMHXGi+b+SN99myi5KO1lE0Y7tcVH79iBt907HOEQseiAL3hJwZvX0OKupnf9linRYkOCriNUlvCX0Tbl+/adGfE5qVMm3DdUc/nTJ2LS90Mb7uSOduakbP6J/c8HpTZ37w/Wbl85Uxe73lqciSZ+MWcemkZ16DeuBctP/y4vpLP02puYjU3L/oIlyqtDpSS5q6l4EAp5W0y6Fy2k7Wutrx3+cVxV/CgbMJw5r98FwBDr/67w9JEj45lu+izexO/PeUap0WJLkap7eGgpHG3nspQF1SmpLE2ry2Z1ZVUpGVQkZbO9ux81jRv57SYjRZRN/fNe5OpvU+jMjXNaXGihwK1zpSVTjil9rXSddR3sTdILksGJKb7Wmeh5798V1Ja6+aHKuixbwu3nH6T06JEGQU1Sh029eedvktYdX83dJ5af1ksViSjQteR4q7F7Ur4FInQGPfbkOyIurl33pu8fezJTosSfUz0OzLqW1F/fzfUyiZ7FDpW5B8s46aiaeRVVnDvwHFOixMbTJpo+Phzvw3xReuKffzq23d4/cNHOJjahDtG3ZhcmzaCYTZ0GJKFJrXV/GLhxxQcKOG4HWt5r/tQLj/nN42r7psq1NY6MnTCKXWgXO76z9VvE+j5ujbGzbYJVe5c8D6FpTt475hh/GXYpZSlZzotlTOYQJk1wnWxAyl6oLm4IXJyKiv446ypNKs6yG2jJ5m8+sY0pxaRPBF5W0RWisgKEbGsVaGUMdCZWI0pBdMp/vXFFDblFHDzmJuNQqOe6LeVy2acstSPAZ+o6sXeov6N1D9LDtJrqvnTrJfpUrqdSWf8IrkzxayioI0l+UREcoFTgesAVLUKqLL6+mCucygLHagPQ8NoVnWAEcXL+MvQS4xC+9KI0kQLgV3ACyIyAPgeuF1Vj6hD5K2oOAkgw8eQB1PG+gruryZZqD4M4bM7M5c/Dr+MyUXTKCooZGOSFj0IC1VL5X+jgRNz6lTgOOApVR0EVAD31G905Fla6bGW0RAmH3cbwhs9T+XGJZ8dvpdeU+2gRHFAI1qnLgaKVXW+9/Hb+FHqhmKscez5uNtgrln2JQ/OfJkaVwrj1n/PkwPH8VLf050WzRG0sVhqVd0ObBaRHt5bo4Gjt15ZxI4sMpOJZg/7MpoxcdztzG7fi6UtO3HT6Tdx+cqZNKs84LRoDmDRSieJpQa4FZjqjXyvA653SA6DzRQ3a0lxs5aHH69p3o5BO9fyTcd+DkrlAI1tQ4eqFgG2nEhgR5aYcdWjx+6mOWRX2XfkcKKggJo0UXsIVkDQFBeMPeVpTWlWfdBpMWKP2lskQUTOxJPfkQI8q6oPBWqbdEodDKPMsWdP02w6le0K3TAJUZvcbxFJAZ7Ac/xzMfCdiHygqn5jUQm99dIQ/3Qu28X6xrpurW5rV2iGAD+q6jpvstbrwHmBGos6lHQeDiKyC9jotBx+aAnsdlqIKJLs7w/8v8fOqtqqIZ2KyCfevq2QAfgGHqao6hSfvi4GzlTVn3kfXw0MVdVf+OssIdzvhn7A0UJEFth5BGm8kezvD6L3HlX1TLv7tIpxvw2G+GcL0NHncQfvPb8YpTYY4p/vgO4iUujN7bgc+CBQ44Rwv+OYKaGbJDTJ/v4gAd6jqtaIyC+AT/EsaT2vqssCtU+IQJnBYLCOcb8NhiTDKLXBkGQYpbaIiDwvIjtFZKnPvUe9ddaWiMi7IpLnoIgNwt/783nulyKiImJ13TUuCfQeReRW7//jMhF5xCn57MIotXVeBOqvPU4H+qpqf2A1cG+shbKRFzn6/SEiHYEzgE2xFigKvEi99ygiI/FkZw1Q1T7AXx2Qy1aMUltEVb8B9ta795mq1ngfzsOzfpiQ+Ht/Xv4PuBvPxqOEJsB7vAl4SFUrvW12xlwwmzFKbR8TgWlOC2EnInIesEVVFzstSxQ5FjhFROaLyAwROcFpgRqKWae2ARH5LVADTHVaFrsQkUzgPjyudzKTCuQDw4ATgDdFpKsm8FqvsdQNRESuA84GJiTyF8EP3fBUfl0sIhvwTC0WikgbR6Wyn2LgHfXwLeDG+kaMuMRY6gbg3bh+NzBCVZOqEJeq/gAU1D32KvZgVU22XVvvASOBr0TkWKAJCb4zzVhqi4jIa8BcoIeIFIvIDcDjQDNguogUicjTjgrZAAK8v6QiwHt8HujqXeZ6Hbg20T0ukyZqMCQZxlIbDEmGUWqDIckwSm0wJBlGqQ2GJMMotcGQZBilNhiSDKPUBkOSYZQ6CRGRE7x7vDNEJMu7T7iv03IZYoNJPklSRORBPEXim+I5D/x/HRbJECOMUicp3lKy3+E5+eFEVXXmCEZDzDHud/LSAsjGk5ue4bAshhhiLHWSIiIf4NmgUAi0DXTukiH5MFsvkxARuQaoVtVXvcegzhGRUar6pdOyGaKPsdQGQ5Jh5tQGQ5JhlNpgSDKMUhsMSYZRaoMhyTBKbTAkGUapDYYkwyi1wZBk/H+E52YbQPifLAAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5804,7 +5802,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5816,7 +5814,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5828,7 +5826,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5840,7 +5838,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5852,7 +5850,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5864,7 +5862,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5876,7 +5874,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5888,7 +5886,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5900,7 +5898,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5912,7 +5910,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5924,7 +5922,7 @@
     },
     {
      "data": {
-      "image/png": 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1kQLuIpv6gZOfqvr3Xit7ZRnLGrZmfrNO1a5nhkAK7vvYKCXYaDlvTVEV29xvO7ayvQl3AG2YahR23HaIK3qyj+9oa7r9SbvXMb2gR/QEiiG1ovCgiJwLPAgMUdXQGzM5VCOYFQnmhhrhbwFDLYYJlDOeM2EWBY/+UpLIdy45VV30ZB9/o7+hDEZZb3uzcjl51zq+a3sSu+o1qJLFSEYjAlld3z7Mvo81wb2eOsm23QmwQd5DQAYwUdxTHD+rqrNJngUES4cN9FqoMWgwZQqWCOJV0j7jv2ZnbiN2XWi85Y6Ra/18nwv49dxPuWPR1zw8aFTA6xthxnWOZNFPZCRhieB42yDP6MubrPjfXyClMLvk1P9HIVSxBe//3TjAuqJMw7G2/3Peax1Jz+SZvhfz1UePkFt6mKLMegHPC5XXbyfuKa0ks9QOtZssLedy1vKi3xy1GQZvXUZRRjalaYE3ro93LM79Dotao9TJbp2DEW4RiUAW3PecaiWaPX99F2rcwSIW0YQ50txQJt8yVP7Xu2HFFLbkNKbMQKkDRcPj8fO1q5h/0im1GReytlKT98D/XG9wbOvDAw1TRlOnr6XvltV8cO5FrGpYUK0P72fiG2DznpdeWUFB8V7uL+pnao46Xj9X99JLe2RzFnQ4RIWHB43kdXrw+PQ3yC89ZPq8ipQUDmdkUJdEzyizb9fLhLfUgX6tw7HQ8fyLH23MTBf5vzdFHYQigyquvss1K1NS+Vba0b55Ohevnc3rvYYbtvfiPU8lhWkte3Hu+k2Mp7vpqH684V6llWS537HC8Avncxjh++Uwo9BmVi3FK0bjY6PDn0gVxj9tdGtOI/LKSkJmbfl+Zq/3HM6FGVsoOKdFNRe9JnLFGneaaIqpw2oSXqkd4pteezezLt84WBaIHfUb8vxJFzBm8bdRkioWuC21mcNqklapA0V1w3Hh/K1EIuLvvprxZHzPrYll7Ji2kT771vP54BNMn+P9fOpUViBUd9F968klgsV2NsiLEr5j62Djx2DJKYnwBTJDrEo8DShdzNjpE6lXVsofLrqaQ5l1Qw5zvD+gxSMH0EtXccvy77jphjssly1W2Bn9Tjql9h8vGz0O9uUKljddmwNqZkirrOSeKd9w9solPHLBFex4ay9F6T1DBjPhlymtOpXlPP75O9xz1U2sa9IsZrJHg1qzSssh+eiwdxc3z5zK0DXLWdqigGtvvoeD2fUokH1h99V93xa25TVgQev2UZA0dnhrlNlBwim10a++byKEF2/igpHLbWS1jaKzRX4VNY2mV2q75R60bhVPfPI2rw0Ywgu33s/2vAZVr/lPWXmzzYJtatjy8H52pjeqsVwFj860fPPEcFCgwrHU5jBSIqMPz7/ErS/VFiD4KD4c/6Phm9VUmxaFmOH8ZQv5/befcNfVo1nYup1hm2o/fn7ZYUbvYcMtBzjU4Jf00EiV006F9uK43w5xRd6REloUHWRDoyaUplfPwb5g6QJGzfmJ5kUHufn621nTtIVl113bpDmnrV9tWX+2EaVsMTMkvFL7V5AMluRQ9b+fdQ7Wt6/Fz5kwKy4sQLQ5ZdM6/vnRWxzMqkerwgNM7dSNCacOYnnzVlw/+0dGzfmJP150NQsL2lKSkRmwn0BW1mg7pKIOQqqrkl9P+pK/n3epKTntdrGDYXWRBBHZBBwCKoGKYNv0JJxSGymumWh1sOyyQK95S+F63W+zX6BEjpIP2LCGpz8az28uG8nMDl2oX3qUSxbP5W+fv0/BwX3M6NCVkaPvYnt+w9Cd+RHoPfE+337fHipTUpnauXo5I998Ad/PIF4V2ksULPVQVQ0ZfUw4pbZirjVnwqyq3GWj1Vy+PxLBlggGKkYQSh6jwF480H7vbv750VvcfdVo5rdxR58PZdblrX6DeavfYFJcLlwp5seJvvfnb1WNrGyzokK25+UH7SOerbMvTpEEB9tJcbl46uPxPHPm+VUK7U84Ch0JqeqiIsrXiBWKUOEyfS+NRGSez//jPNV0q3cJ34uIAv9n8HoVCafU4RSOC1TT2eiXPtxidF5rHyhjLVD9L4jO1qw15fxlCzmWls4HJxkXCawpZqxrYd1s8o4Gr0eZCFbaSxhj6lBb2QIMUtXtItIEd42/VZ4NM44j1ntpXQk8AnQDTlXVeYF7qBlGFTqM8FdAX+UM5KKDWzED9W80jo/XVV6565WMimP8auZk/j30/OP2vPK2sTpGsPXhgccNQwqzssg7UmLpdWxDrXW/VXW75+8eEfkEOBUwVOpo+jqvA+f6PbcMuCyQMA6x58Td63n/8ydY2qI1Uzt3s1WWwrrZ5Iaw1ImCd0xtRZEEEckWkfrex8DZuHXJkGhWE50uIm39nlvpESzifgO51L6vGz0OFEENFR0PdG2z5xi19d8tIlaRcn+Lm15RwRNTXuepNpcwqcfJaIDPJW9FEUUd8qIuX3FmXeqVlQUMyCWS6w2WWuqmwCcevUkD3lbVgOtS43ZMHWwvLbPTU8GK0QfDjLJZoYixrqPm/95kND5MRUYKH41yD+cCReULu+ceNztghay+tc22PjwQV0oKO3Pz6Lp7Byua/7J3oq9ciTJdqAiV5gNlwftS3QDmy7LGbahRVcepal9V7ZtOht3iJCUpqtQ9dgxRl92iVPFhn35cN+cnu8WwBGc9tQWYWfRvRLCstGhsoBYo0y2WVqioPTz27se812UwORsEUNPurVUyGhWheK/vAL5+/glaHdzPNoMEF9+9sePZHVeLA2XhkFRK7Y9ZNz1QEon3tWi7x3as+Lpywc80LS7k3l/dSHlq6Prf0ZDN1/32dbG35DekWXHhcUqdKIknXjTZlDrAXloHgGeBxsBXIrJIVc+JlgxmCTTdFDOrGeMxYpv9e7l/8teMuukuylPTAsoQaKmp1co10fVB1eOL5RI61tnNshYFx7WLx/n9wCThgo4Ae2kBfBKtazqEJq2ykic/mcBzQ85hQ+OmdotzHNmUU5KRcdzKsEQk6Sx1tAi1BYwZ/C1QoA3YzbjFvrW1zGSl1cQqW9HH2OkTKaqbxdunnBbyWoGu458PX1NPo+sjz1Q9Tv3TUMqf/Zk+WzZWrdFOJJfbiypUuhylNkU0igL6ZjcB1Rbzh+o/ki9cpMpZ03s9cesmrpo/i8tu+7Vh5ligawWrk+67OMYKKlNSeWHw2dw/+WtuuPEOEInbBTChsGt/6rid0nKwluyyUp78ZAJ/ueBy9tbPCX2CjXzW+2QaHT7EwA1r7BYlYhS3+23msJqEs9TBpp8iwevCB1piGSihxUx2WaDXI12yWRNunjmVhQVtmdQtdA1u343uvPjK1uaLQjZfmAdEJ3hVmZLKs2ecw32Tv2Zm+84JZ6Hd2BcoSzhLbaQcNdkWp+DRmYYuve8RaHuanAmzqi0AMZI12Ov+7azEV966x8q4dt4MXhh8dtD2XoIpNFCl0NHk2x69yT16hB47t0X9WtFC1dxhNQlnqR3C57T1q1nZrCWbGza2WxTTpLqUjIoKylPt2bjdCuyKfiecpTbC16KGS/HIAax65H7D17zWztfi5kyYVVWNNJ7nTX2t/xlrVjC1c3fDdr736Huufx+xpv2+3ZRkZAQtahjP2yK5o98ppg6rSTilDmenRjNKXtRBqk2phLq2d5N13zrWdmD2B0zUxZC1K5nayVipA2FWmaOl9CV1MmhQUsLFi+dSr/SoYZt4H2vb5X4nnFKDOctspkJK7no9zkobBbd8rZnvYzsttVll6rx7J4czM9nawLhAvpE1rkmMwiq25zfk7+ddwiWfTuXr55+gw95dx7WJZ0sN9kW/E1KpHczTbdcOlvssY0wkvux1Mg/LaUw4dRCjZ061W5ywUMwptKPUfoTr+vkuHPCvKeZrncxYqnAsWbAhQ6DtgMLpN1ifXXbvYHWYxfa9702bLwpp80VhWOdazdaHB/Jhn36csXYFw1YtPe61eEZNHlaTcNHvYMsiA7XzYvQl6PrIMxBilZb3h8C3Brg3tTRQtpPZFU41WdZp5t4779nJG/0Hh9WvF9fCFe4HFx5/b7EMoO2vV5/br/0Vr738PKc+/BgqCWCLFNSmNNEEeHccakLn3TvDttTxyLKWrXEhNDp82G5RTONklEWAVdYikOXxWlujgJg3Am6UiWbnVJAvjQ4Xk15Zwe76uRGdH8i9tevepvQ+gbunfsufR1yRENY6GpFtM8T/O1MDzI5RQ7nHgSLEkVwrlgxbtYwZHbqEXLxhRKiZBTv4+7mX0mHvbh7/9B3SKittkcEsduZ+J7VSB1ppZOY8o0BasBRVsymhseSsVUv5tseJ1Z7zDwj64hsYCzbNFex9jWZg7VBmXW65/jbyjpTw7PuvkVF+LGrXqjEKqJg7LCaplbq2cyArO3mK43soTa/DndfcwuGMTF4ePy5gYko84CSfWEAwa2ymgEGg13wtsNHjeLLOVajSqvAAB7Oyqz0dTN7NF+YFXKxh9j5jsdijIjWVBy+9jo2NmvDEp2+DahwmogjqMneY6k0kVUQWisiXodomtFL7K2OkyhXJefGQdRWI9IoKHvjhK7LLypjSpUfoEzyEMz9vZl4/mu+PSgp/Pf8ymhcVMnb6xPics7Z2ovpeYKWZhrHeS6sB8B7QFtgEXKWqB6MlQ20hxeXi7JVLOHXTOpoVF9F95zaWt2jFzdffTmVK4q5yCkV5ahp3X3UTb77xAlnHynhm2AVR35nTNGrdKi0RaQVcAPwdeCBU+1jvpfU74AdV7QT84Pk/YsxY2Jpa1FBrpeOBX82YzJiffmBjoyZ81OdUbr7+du685hb216sfVj+B7sk3+BVs7blRf9Fme35DLh9zP712bOWDl/9F722bon5N01hnqf8FPAiY2nUhpntpARfjLhsM8AYwFfhttGQA81+sSGtc21Gz259zVi7hH+dewrw2HcI6z2x2nv842b9EsN3vQWFWPW66YSwXLp3Pv99/g/3Z9fjtpSNZ16SZLfL8gun3I+D+1CLi9Xbni8gZZjqLdfJJU1Xd6Xm8C/fGXw41ZEWzlvTavjVspQ4bVU7bsIYuuomKn8vJPXqUnNIjNNp7lPrHjlB3Wilb8xsyt0175rbtwJb8RhHNkadXVnD2iiW0ObCXOhWVHM7IYE7bjixtWRA46USEL07oy7w2Hfjb5+/x5YtPMuT+h9mdk1eze64J5nczCrY/9WnARSJyPpAJ5IjIeFUdFagz2zLKVFVFJKDzEWyDvGhg1pWPRjXTmrK6aQs67dkZumEQzNzHoPWr+ecH45lyQnfKNh2guE5dtrRoxLIWdSmqm8XhjEza79tD/03ruGfqtyjC3LYdmNvGfWxs2LhKyVsf2MuwVcsZvG4lmeXlbM/LZ0FBOwqzsrl23gwA5rVuT2l6Oo0OH+Kxz94h69gxJnXtyffdTmB+6/a4RGhZeIBTN6+n7+YNnLJ5PfVLS5nbpj1PnHURWc8so0BS7Amieeepa9qN6kPAQwAeS/0/wRQaYq/Uu0WkuaruFJHmwJ5ADT3uxziAHGlga5jZ615aXQ7XCupUlDNqzo88ds4lYZ0Xict86aI5jBt8Jq+cdmbVc25X/JSq/+e16cD7Jw8AVVof3Mcpm9ZzyuYN3D59ImmuStY1bkbjw8XkHj3ClM49eKP/YIoys2i3fw99tm4it/QI33c9gQmnDqoW9HocaL93N2evXMJD331G+327EXVvf+v94XhtwBmsb9zkF2tu80dlV5porJX6c+BG3J/RjcBnMb4+EP4qo6p5aZ/64KGK90dDDiMGbljD3vo5TAtQrigQ4V63455d9Nu0jj9ddHW15wNaQRG2NGjMlgaN+eik/qBKy8IDtDmwj0OZmSxrUd2VXti6HR/36RdUhg2Nm/JS47N4afBZZB0royIlhWOpaRG5+DHBYqVW1am441BBifVeWo8D74vILcBm4KpoXb+2sC+7Pq0OHqDJoSL2RLhwIySq3Dvla17vP4QjdSLcVliE7fkN2W6wk2UkRCxHLEm2woOqeq2qNlfVdFVtpaqvqOp+VR2mqp1UdbiqHojW9YMRqXX0jZAHq08WTrGFmrKsZWve6TuQ5999NWr+3rXzZtLmwD7e6ne67UUTEglRc4fVJPTSy1hT1EGqjalXPXK/YdFC3zRSL0ZjWKuCbBNOHcTdU78l+1gZJRmZNe6valigym0/TuKqBT9zy/W3UZZeh80XJv7GdTFBBZy9tBwiZcTSBUzp3MMSha5Clb98+QE9d27jmlvujfuteuKSWhIoSxrCdaujOfXVd8sGpnY2n+NthisX/EzPHVu5fvRdiTF+DZOYbLrnKHXiEaheeKxreHXZtYNXB5xhWX+5+ft44KOvGTX6zqRUaIhR0UJHqR0ipcmhInbm5lvW302zpjGlS3fWN7Y7zTKBsSj5JBLiZElL4mG2QqiXaEXC65UepW55OcWZdS3r88OT+jNgw1rumfwNKS53ruOqR+6vOhzM4US/TRLpwgu7iZasI5YuYHKXHpYuOVzRvBWXj7mfZz58kxffeZm7rr45rK2JvCTS5wPHL1SpMfFaeFBE7hYR63y7GhLX1UZiRIrLResDexnz4yTunPY9750c+fY/vhsc+HIguz43X387pel1eOyzdxA1tzohkT8fq8fZ8WypmwJzRWQB8CrwnapdWa21lzoV5YxYuoCr58+iy+4dHMyqx08dujD22ltY1rJ1VK5ZmeIuG/TGmy9yz5Rv+feZ50flOkmLTWPqkEqtqn8UkT8BZwOjgedE5H3gFVVdH20BHaDgwD5ef/NF1jZpxrNnnMP81u05akFUus0XhWwOYZ3K0usw9ppbePeVf7Mtr4E7j9shNOGVKrIUU2NqzzLJXbjXQFcA+cCHIjJRVR+MpoC1HW853NcGnMH4fqdb2rfZIoEHs+tx28hbeeu159mVm++uJe4QmjgeU98rIvOBJ4EZQC9VHQucDFweZflqLVnHynhg0pd8+9xjTO/YjfGnDrJVnk0Nm3DflTfy5McT6Lx7h62yJAriMndYjZmQaQPgMlU9R1U/UNVyAFV14S4s6BCCSMrXXv/zdMbMmMxdV4/mf4ePiIvlhfPbtOcf517CS2+/TJNDRXaLE/9YW03UNCGVWlX/rKqbA7xmqmRpbce771Y489Sf9+7Lp737csmiuRFdM1BUu6Z81esk3u07kJfefpnsslLL+08WzEa+oxH9dpJPYkS40zw7c/N5dcAZnLjN8Pc0JFsfHhi1VMhxg4axrHkr/vnRW6S64ntPK1txtt1x8CfN5aIiNQ4/IhEeveAKUl0ufv/Np3ZLE7/Eq/vtYB/DVi1lYat2dothSEVqKvddeSOXLJ4b1/tZ2YnjfjtUo8mhIkbOncHLg84M3dgmSjIymdemPSOWLrBblPhD4zv67WADd039jg/79GN7XgO7RQnKP4eP4K5p33H1vJn2lc+MVxz328FLfslhzlmxmJdPi18r7WVN0xZcd/PdjJzzE49++QHpFRV2ixQ/1Cal9iS0LBOR5SJynx0yxDOnbF7PgtbuwvaJwJYGjbn2lnvIO1LCm2+8QONDxXaLFBdYNaYWkUwRmSMiiz0685dg7WOu1CLSE7gVOBXoDYwQkY6xliPeccVBskk4lGRkcu9VNzKtUzc++O8z8bVRXeJTBpypqr2BE4FzRSRgEr4dlrobMFtVj6hqBTANuMwGOeKWbfkNaXUwutWTvQUPStuXVR01RSWFlwafxV8uuIIX3nmVyxbOtkDSBMYi91vdHPb8m+45Ap5ph1IvA04XkYYikgWcDxT4NxKRMSIyT0TmlWP8hfP9Qlr1xYwHGpQcYl+Y29CGS9s3Hwdg0w2/Y9MN7h2FrXoPp3TpwajRd/KrGVP409cfkVZZCxNULI5+i0iqiCzCvVXVRFUN+IsZ88onqrpSRJ4AvgdKgEXAcZ96OHtpZW5IruJ4LYoK2WFhzbFAeBUbqFJs/+chsvd3Y6OmXPWre3n64wm89taL3HvljRzIju4PVdxhPggWcCvbqq5UK4ETRSQP+EREeqrqMqPObAmUeXbrOFlVBwMHgTV2yBGvtCg8yM7cPLvFqDGHM+sy9tqbmdu6Ax/891/02LHVbpFihhBWoGyfqvb1OcYF6ldVC4EpwLmB2thSo0xEmqjqHhFpjXs87ay896F58UFmtesc8+v6uuS+mK1PZoRKCv858zxWNWvBfyeM47FzLuaLEwJtxZxkWDRdJSKNgXJVLRSRusBZwBOB2ttVePAjEWkIlAN3en59TOE75ks2t9tLy8IDllnqUGNkfwX2xavkmdT8ff6+e282NmrCc+++So+d23n/pP7sr1ePorqJMW0XNtamgDYH3hCRVNze9fuq+mWgxrYotapaW8IjicgoP0a3XTtY0byV3aJYztomzbnq1vv46xfvM+7t/1KvrJQnz7qIj088JS7Wi1uORSmgqroE6GO2fcKVCPbFa4WSwWJ33LOLyxfOpt3+PUzt3J1DFtbxDoZ/UCzQc1a910V1s7nnqtGA+57/8/7rNCw5xH8HDatRv/FINBZrmCGhlToZlNnLI199wOomLZjbpgPv9o3BljAezLyHpe3LqtpZ+UO6rkkz7rzmZv47YRwbGzZmUrcTatxnXOEode2l3b7dtNu3l9HXj6U8rXZ9JBsbNeGFwWdxzfxZzGnbkeK6WXaLZA3xXk3UIUqoMmTtSh767jNeGjw8qELHOkDoH2CLZmLPzPaduWLhbCb/66+sb9yUP1x0DeuaJP4+Xo77bZJYfKEt3TpGlWGrl7G2STPOXrGEIetWMqtdJ1Y2a8UtMyeTe/QITw+/gEldex13aqSKHOi8eJ052JWbz3U330OKy8Vli+bw3wnjuGjsb2IWV4gajlInJymqPP/eawB8360X404bxvBVSxmwYS0f9unP5yecbOk+WP4EsrBGY2O702xdKSl8eFJ/euzYxn2Tv+av5yd2BepoFEAwg6PUUcaVksLzg88i7+iRqi/pj5262SxVfPOvYefx5fNPMr1jN6Z17m63OJHhjKnjC1+X2wpX/JsefXjuvVdNtbXCWpqNaFt1PaspqpvNXdeM5oV3XuUPF1/N1M497BYpbMRz2IFT+STKpFdUcNOsqVFfdWWGRFrNtrhVW26/7hb+8dm7tNu3x25xIqM2VT6pDbTbt5umxYU88MNXNDtUxO3X/spukRKOpS3b8Ea/wYz56Qe7RYmIeN7KtlYTicv9wKQvuWTxPEDZmZvP3VeP5rBBJDeUxbQ6Qm0UFIunKLgR75xyGt//5+80LzrIzhgsR7UUZ0ydHDQ5VMRV82dx7t0PUZhVz25xqmGl2x2r6bHiull83KcfN86axuPnXhK161iOOtHvpKHz7p2saN7KlELH2kpaeb1Yyv56/8F8/uJTvDT4rIQpxgjE71a2DuGRaAUDE4E9OXlM6tqL6+b+ZLcoYeHs0BEB8RjJ3ZmbT8HB/WGdYyYqHc+R61jI9sppQxk5ZwZ1j8Xf/QfEpuh3Urjf8ZT+uKlhI/KPlJBz9IjpxQlmZLb7voIRC9k2NmrK/NbtuHzhHMb3S4zl+Hblfie0pY5HVFLYmZtHi6KDdouSdLx82pmMnjU1MaqTKu4iCWYOi0k4pY5nNxSg1/bN5B8pYUOjJnaLknQsadWGrfkNOW/5QrtFCUmYhQctJeGUOp7JLD/GUx+/zV/Pv5xjael2i5OUvHzaUG78ebrdYpijNmWUicj9nj2BlonIOyKSaYccVtNv4zr21q/Pd9172y1K0jKrfWcKDu5PiP26RNXUYTV27KXVErgH6KuqPYFU4JpYyxEN6pWVsqdejt1iJDWVKanMat+ZQetX2S1KcMxa6WSx1Lij7nVFJA3IAnbYJIelHMiuR+PDh+wWI+mZ3rErg9bFuVJTi8bUqrodeBrYAuwEilT1e/92ZvbSijdWNmtJ953bSHUlQHQ2gfmpQxdO27Am7t9nK/fSCgc73O984GKgHdACyBaRUf7tVHWcdxuSdAuKyceCbru2U5GaSkoUxkkOv7AnJ49dObn02h7n2/hY5H6LSIGITBGRFZ5Y1L3B2tuRfDIc2KiqewFE5GNgIDDeBlkso/PuHTz90XjuvPpmylOTIqenCt9CEUbUuI5bBEzv2I2ha5azqKBtzK9tCmtd6wrg16q6QETqA/NFZKKqrjBqbMeYegvQX0SyRESAYcBKqzq3Yx47o/wY//zoLZ48+0Lmt2kfs+vWZj7r3ZdLF82N70QUiyy1qu5U1QWex4dw60vLQO3tGFPPBj4EFgBLPTIE3OUvEXhw4hesbtqCz2rLxm9xwPrGzdjYqDEXL55rtyiGhJl80sgbP/IcYwL2K9IW9xY88bM/NYCq/hn4cyTnxlsO9NDVyxmydiWX3PZrS/aDsrQ8sUVyGGGnbF6eGn4hz733Gidu28yiVm2Y27YDWxo0tlusKsRl2v/ep6ohLYKI1AM+Au5T1YAT9UmRUWZX6mi90qP85cv3+c2lIw0rmzhEl2UtW3PZbQ+wuUEjzli7gi+ff9JukX7B4nlqEUnHrdATVPXjYG2TQqntYsxPPzCtU3cWtm5ntyi1lgPZ9Xl50DD+dOHVHKlTx25xqmHVlJYn9vQKsFJV/zdU+6QI09rhkmeXlXLNvJmMuOPBGvcVytWNJ+LB7TZGUYkzG2Xdx3oacD2wVEQWeZ77vap+bdQ4KZTaDjrs3c2WBo3Yk5NntygOQIOSEg5lxtcSAqumtFT1J8IoI+4odYQczMqmYclhUI27DdOtsPzxa5GNOXHbJpa0bG23GL+guL8bNhBn/krisDW/IamuSlo6xRDsR5Xr5s6Iu9VxtSZNNFk4bcMa6paXU2rhuumcCbMs66s2ccnieaS5KpnUtafdolRhZ5EEx/02IJT72vzwAZ7+bjxjr72F/RZup1M8ckDE59ZGlxug455dPDjxc2688Y74CpSp2uZ+O0odJo2OFPGvyeN4cfBw5rXpYLc4tZq0ykr+/vm7PHvGuaxt0txucY7D2XQ+AWhSUsgLk17k8w6n8mb/IXaLU+u5d/LXHMyqxzt9B9otijGOUttLKPe12eEDPD/pJT7uPIAJ3YdWtQ+07a0vgdzaUNcM1Z/V89tW9xdNd75Z0UFunTmF0379l7ibffDilAiOY7LKS3lu0ku833UQE7oPtVucuCdnwqyoB/36b1wHQMe9u6J6nYhRoFLNHRbjWGoT3L3gSxY1bc97XQfbLYoD0H/DGn73/Wfcd8UNzGkbv3ENZ0xdA6xY2RTIjT5152oGbl/JyBH/E/LaZuSrDXij+FavOKtfepSx0ycyYukC7r3yRma361TjPqOKE/2OP/rtWMUjM97hT4NGcriOswrLTi5cMo/ffv85kzv34LLbHmBfAlRtdSx1HHLPgi9oUHaYrTnxs0a3NnL97OlcP/tHbh05hpXNW9ktjjmiVP7XDEmn1Fa6fDeedz83Lp/MX2a8zR3Dx+JKsS+uaCbKHs8YyWzm80mrrGTMjz9ww013sLFR02iIFhUEkCgEwczgRL+DUJGaxms9hwNw3cqpYUV0nZRPa7h6/kxWNm+ZUArtpdbs0JFouFJSeGTgtVy96kdO1212i1Pr6L9xLR+feKrdYoSPxZVPwiHp3G9fwnHFg7m0u+o14H/OuIVnv3meHyouojQtdFGGQHncORNmRZTjnYgudyDCGRYVZ2ZRr6wUSIy6ab9gX+63HcX8u4jIIp+jWETui7Uc/gRKmMg+VsoT017jle/+Q0p6Cmp+rbohNVm0Uds4Z8ViTl+3kp25+XaLEhG1ZpWWqq4GTgQQkVRgO/BJsHNyKSNFXbhqsAon1K+8kbI1LTnIk1NfY3mj1oy47GFSVClLi686WPFMOJbT//NpUnKQv3z9AQ8OGc0y2oedDxAXVruWzlMPA9ar6uZgjXIoYxwT+VA783bZSZRkRLdsTUZFOReun815G+azuEl7/rfvxXGbX5ysnL5tBT+17M7iJgm6OYLW3uj3NcA7Ri/4bpC3gTq8RG/6s5MpzzzKH775mGzPOMtqMirKuX/ep1y2ZhZTW/di/OqGjkLbQN/d65jXLM4zxkJR2wJlIlIHuAh4yOh1VR2HZ+eOHGmg86QZ82jGkbt68ftvP+GRrz7kN5cdt69ejWhXuIunpr3GqgYtuWv47RyoWx96WHqJWks4gb7sY0c5ZecaHj/18rCuERcutw/RmK4yg52W+jxggaruDuek/fXq88iIKxm6erml1rrn3s08P+klXul1Fn88/Qa3QjvYwlmbFzGvWSeKMuvZLUrN8FY/CXVYjJ1KfS0BXO9QHMqsy/rGTem5w5qtTJuUHOSpqa/ytwFX8017Zz8sOxF1ccXqGXzWsZ/dotQMBVwmjxCIyKsiskdElpm5tC3ut4hkA2cBt0Xax3fdezNq2kx2vLW36rlIp4uGbV7Cj626M7Nlt0jFcTAgkrn1gdtXUZmSyqwWXaMgUewQLM0Wex14DnjTTGNbLLWqlqhqQ1UtirSP904eQMfCXdyjC+ivO2isRyJ2ZVY1bMWAHatodCRicRws4uJ1P/Npx37JEZx0ucwdIVDV6cABs5e1O/odMSUZmdwx/HYO9GjDRazneX7gyWmvkVUe/jh7YdMOLGzagQE7VkVBUgcz9Ny7if/88H+0PLyfb9udbLc4NSc899v0VrZmsHueOmx8XboDdXN4oc8I6DOCtMoKHp0xgdvfe4OX5QRDV9w3Y8z7ujdtM6+shMKMbMvkjLQuWTSvHWs5zDJq+WSuWv0Tr/Q6m6/a96UiNbKvZbwln4ThfpvaytYsCWupvXgVtSI1jZd6n8fQrN3VFNaX4pEDjlP24pEDaDd+Ml33b2VB046xEdqhigZHi7lx+WRuPvdePuvUP2KFjktsin4n0TsIe7JzySkrCfu8i1jPxLZ9KKkTXxus1QYuXzOTSW1OZF9Wrt2iWIxTzD9ifC1vqkvRSq1yqX1f810d5f3b+EgRfXav5zw2clP38BIdQhHIFaxJPnSyUaeynMvWzmLsWXdY3rftrri3mqgFiMg7wBm4x97bgD+r6iuB2ie8UsMvbnaaukgX5dB1/aqe91dscCv1ffM+4/wNc1mX14IHz76VXfUaxF7wWs45GxewqkErNuUmXgEEM1g1paWq14bTPimU2kuFpLAnK5eC4n1syW0SsF2X/dsYumUJl17yB0qcgoL2oMrVq37k2ZMutFuS6OG435Hja42X/7iOHvu3UPjleopHDqhmnb2cv3Ia0wt6VFNoo3Z2E2lhh0Rw2/vuWkuqupjdvLPdokQHBVyOUpvCKKLty9xmnRiydRnfjLzpuNdzJswiRV0MaL6KmTvrk7Pm+HG2nRQ8OrPq8daH43R/KIu4ZtWPvNt1cHIkmRjiBMpM42t94Xgl/1nLGcsa7lj4JSmqND5SRLqrkoauIg61z6T9vj2sqd+cN0dfSWl6nbiyalsfHsiqR+4HoOsjzwRsF08yR0JB8V567NvCH06/wW5Roouj1NZwVNJ5UAfTLwXKUtNZn9ecrPIy9rbK5HBGJjty81ndrKXdYtZaRF38/uf3mdD9DMrS0u0WJ3ooUGlitUYUSDilNqoj5u9ib5JclvSu7k7HQ4aRGbwWetUj9we11olKfmkJXQ5u587hY+0WJcooqKPUYeNVZq/CFjw6s2os6n3sHafmYDxODbUtrO+0WCwL6iejQntJdVVGfWOEuPgRd9xvh2RH1MVDP7/Ph50H2S1K9HGi35Hhn1zia4m9j2saRY6HqHgy0OBoMWMXfUNeWQkPnXie3eLEBsdSh4+/wvm63+Fih7vmdeGt2H431DXsomnJQa5fPoWzNy3g23Ync9+Ztxou2rBzVVvUcJTaIVmoU1nOXQu+osmRQk7avZ5PO/Xjmgt/W7vqvqlCZaUtl044pTbK5S4K4mqbSeioiYV38EOV++d9Rrui3XzasT//6H8VxRlZdktlD46lNofRlFawFTmBFN1o/G2EFe6fnSuGarKHWLjklJXw6E8TqH/sKPcMG2NJXn2kMw62r9KC2rOXFoCI5InIhyKySkRWiojpaJSvpTYKYhU8OrOadfZ93otjlaPDsz+MY0tOE+446w5noQzqjn6bOSzGLkv9b+BbVb3CU9S/lvpnyUFGRTl//ekt2hbtYszZdyV3pphZFLS2JJ+ISC4wGLgJQFWPAcfMnu8/jVU8ckC15BN/Aj3nb62jGWUN5P5FM+odSV8RvwctjjJk23L+NOLKqCp0LIcSllCL0kTbAXuB10SkNzAfuFdVq9Uh8lRUHAOQ6WPIg80b+yqqV3GNXG3H/baWPfVzeejia7hv8tesPqMdm5O06EFYqJoq/xsN7BhTpwEnAS+qah+gBPidfyNVHaeqfVW1bzqhN3l3sJdPTjyVN/oN5tYl31c9l1FRbqNEcUAtKjy4DdimqrM9/3+IgVLXFMcaxw6v2zs5ry+37ZzM3358i4qUVM7bOJ8XTjyPN3oON90HxMewxAq0tlhqVd0FbBWRLp6nhgErIu3PaIorXIzG3Q7hczCzPjefdy8zWnZjWaPWjB0+lmtW/Uj9siN2i2YDJq10klhqgLuBCZ7I9wZgtE1yOFjMtvqN2Fa/UdX/a/Nb0GfPeqYX9LJRKhuobQs6VHURYMmOBMUjBxi6buFkiZltF3fR1ShiVaR5X90c6h0LvRVSvLnONUUBddJErcHrSgdLGXXG27HjcHpd6pcftVuM2KPWFkkQkXNx53ekAi+r6uOB2iadUgfDUebgRMNa7q9bj9bFew1fSzbr7I9a5H6LSCrwPO7tn7cBc0Xkc1U1jEUl/F5aDvFNm+K9bKyt89bqMneE5lRgnapu8CRrvQtcHKixqE1J5+EgInuBzXbLYUAjYJ/dQkSRZL8/ML7HNqrauCadisi3nr7NkAn4Bh7Gqeo4n76uAM5V1V95/r8e6Keqdxl1lhDud03f4GghIvOs3II03kj2+4Po3aOqnmt1n2Zx3G8Hh/hnO1Dg838rz3OGOErt4BD/zAU6iUg7T27HNcDngRonhPsdx4wL3SShSfb7gwS4R1WtEJG7gO9wT2m9qqrLA7VPiECZg4ODeRz328EhyXCU2sEhyXCU2iQi8qqI7BGRZT7PPeWps7ZERD4RkTwbRawRRvfn89qvRURFxOy8a1wS6B5F5G7P57hcRJ60Sz6rcJTaPK8D/nOPE4GeqnoCsAZ4KNZCWcjrHH9/iEgBcDawJdYCRYHX8btHERmKOzurt6r2AJ62QS5LcZTaJKo6HTjg99z3qlrh+fdn3POHCYnR/Xl4BngQ98KjhCbAPY4FHlfVMk+bPTEXzGIcpbaOm4Fv7BbCSkTkYmC7qi62W5Yo0hk4XURmi8g0ETnFboFqijNPbQEi8gegAphgtyxWISJZwO9xu97JTBrQAOgPnAK8LyLtNYHneh1LXUNE5CZgBDAykb8IBnTAXfl1sYhswj20WCAizWyVynq2AR+rmzmAC/MLMeISx1LXAM/C9QeBIaqaVIW4VHUp0MT7v0ex+6pqsq3a+hQYCkwRkc5AHRJ8ZZpjqU0iIu8As4AuIrJNRG4BngPqAxNFZJGIvGSrkDUgwP0lFQHu8VWgvWea613gxkT3uJw0UQeHJMOx1A4OSYaj1A4OSYaj1A4OSYaj1A4OSYaj1A4OSYaj1A4OSYaj1A4OSYaj1EmIiJziWeOdKSLZnnXCPe2WyyE2OMknSYqI/A13kfi6uPcDf8xmkRxihKPUSYqnlOxc3Ds/DFRVe7ZgdIg5jvudvDQE6uHOTc+0WRaHGOJY6iRFRD7HvUChHdA80L5LDsmHs/QyCRGRG4ByVX3bsw3qTBE5U1Un2y2bQ/RxLLWDQ5LhjKkdHJIMR6kdHJIMR6kdHJIMR6kdHJIMR6kdHJIMR6kdHJIMR6kdHJKM/wdIu7TCSH845wAAAABJRU5ErkJggg==",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5936,7 +5934,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5948,7 +5946,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5960,7 +5958,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5972,7 +5970,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5984,7 +5982,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -5996,7 +5994,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6008,7 +6006,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6020,7 +6018,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6032,7 +6030,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6044,7 +6042,7 @@
     },
     {
      "data": {
-      "image/png": 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AX/PuasJdIG860E0p1QNYC9wfwus7EJwp3jVnWw3nkfaxZz5cNng7ZYO3sy6vT3V7b/M4Trk4g3zW0LSWTFolPJScxPPnD2P6MV346fjOtPmzKCiZ9WS3C3fe7zhTh9WETKmVUrOBPV6vTVNKVVQ9/RVoG6rrO9hPPIoMSvmdFqbPWdKhLQNXrqdBRYX/xhFNPanQ4cWVwCSjN40K5Dn4p64eYjOmrKd/vVFc69iapo7gb2zkYzqZkqk4pSEDV+bTd+1G5nbp6PdetLJ6THrtc7P3YzXuFMHWJ0Awgy1KLSIPAhW462npopQaD4wHSJOmNhUwiU7MKI+3suiZrFql8F6L9jwvQzO/1lHAHaTS2Dj4qRaNSw6zpENb5nbpaPpePBgpuLeye+N977UTIQeOUhIS09oMdpSyHYvbgTZEqRBU3HaIKLqxm+/JMd2+3+o/mHZMl9AJFEbqReJBETkNuAc4SSnlvzCTQ8jwHgG9RzLv0c0oZtzjNPOgdZbFKxfd2M2T6CcX1It625GRRv9VG/iify+2Ns+olkVPRj2MHHxG7bz7tCyiDEKSqsgM4S6Qdz+QBEwX9xLHr0opp0hehOD9RfelTL4CQTxKetqYH9ic1Yyl4/SVWs/8f/aC03j0/a+45+PvufXvFxte35f8gbTxDhHtmrPNEvM7JlMEh6NAXiCYTZhgJ/7mfqHGSJm9v/j+ki14nh/NHgq2NdSda3u/Vn3fDeGJS0/nt1ufJmP/QfY2TjU8L5CYbbMKb+lIHYIECGZwwkQdQkKKKuc81vEaxvnMjBi6eCV7GqdSktggBJKFB4tjvwOi3ih1JI/Oes89pqAH7+fe6M2J9V43g5l5plYWj29bu1HjBpawhJb8Jpm61/Dl1b7+69n80bo5h3V2dRmdZ1XAiXXmt33J/GNOqb3LsNhVI9oMVpp7ZpxCegQzX11RkFXtHEuclakbMlr+6hr6z1/H64+MYHn7NjX68FxTb3tlYnkFHQp3cfe2fqbWqCMhekwP99ZLe8xvZ0OHQ0i47fqLyKMrr7/yPs2KzacBLo+P41BKIg2J9ogyp+pl0BjlFNOmgw22j1DjLyDCCtNZ+5r3qBbsKN01ZxvMqm1Wa7drViTE8520J7N7PBfPms+/zzxZv72HqvNUXBxf9+7OabMLeJ8uPp1hkTpKg2eXlmN+B4W/kjp6aJXYjEJbbcL7mu/6Wmc14532pbhWmPr+FEn7Y7Qurw9/fHOQ1nuL/a4fa1/79xknM2Xxf5hy+0kcHLy9hvLbvUJgFneYqJPM3yEGOSZ/E6uzWwd0zuaWTXn2wtO44zP/Oc4iF7Ftl1bUj9SB4Blx0/MVhzu4X/M1+nocNaEyzQMddXwFTmgx60DydX0rTNtj1/zBwLX5/PfRgboy6l3L83pSeQUoVWuUtkq2cBBzEWV24zGrPeVeCoeWVStnen7tpRI9ikf1x0cmVksIxRfUbKhkqK5/3YafuPi9+aQeLOOle07hYOOkWj803tetDjXNy2J04Vxu/2o6D7xwjuWyhQs7vd8xp9R/1WxSpOcnUtRRvF73Xw71r+gzZ79JIMRXVHLZhHkMnLWef995MgvuiGdtdl8o0P/xqGEl5FWN0GXl3D5uOk8/PoJN7ZvVOicY7HKwOY4yh6glu2AP5360iON/+YO1nVtx138uoLhJQ5Rs93+yFz03bKEwM42VPSLfGeYLT44yO4g6pW41PbHWSKvd7eN5L3fsQjY/PKCGya0dtT2PfZXn8cy7jeQo6ig+59tG0WGxxDG/beTOp6Yz5aLe3DbmOHZmplW/lzgrk67U3pOdqLMc5qHdrj2sSjd+3yxlXl7zcKOACmekNodRTSZvEmdlwoy/nnuUGCBt4lw8Xz1/m/A9Pw615fDvPIuGpZe6MOjHtVz7ymyefHIEq7rr32uNRAWejRgYO7z6/LiRhs3Kq58Hq5xG54Tzx9Uxvx0iisZFJbQs3M+WdhmUJtfcWHHSD2s547OltNi5nwefP5uNHZtbdt2C9s3ovWCTZf3ZRoiixcwQ9UptFEiyoiALDAJTtGa5P9bl9SF5g/txer7y62QzQi+1TqSa5N2WbOXex76jqElDWm0vZn7/HKae04P1nVpy5qdLOeOzpbx0zxBWdc2kJNV4JaFs8Ha6zqr9utFmlbgKF1eM/4XXbxlkSk67TWxfWJ0kQUQKgP1AJVDhq0xP1Cm1XpVKo0LiyRuS6HjKHwCsIKvGOWb6r1Ujyscc2xdGCfEikV4LNnH3E9N47qFhLDm2Han7Sznl+9Xc8tyPZG4tZtFx7bjnlfMozEz335kXRpF0ntezN+2lMj6O+QPa13hfm1lFq8T+FNru6U8IRuqTlVK7/TWKOqX25djSQ+8f6+1s0yqdd19Gc+66xItrdzhFEtkFe7jn8e956okRrOjp3ll1sHESX53fk6/O70lcpQtXvPl5ovb+tKNq15xtuqNs8537KWzd2GcfdR2dw+W0dJIkONhOXKWLu56cxjvX9K9WaG8CUeigZHApKkN8jXChECpcpu+luYgs0DwfX5VNt2aXME1EFPCGzvvVRJ1S6y1pGWE0knqfb2SmeUeUac18baipNx6z39Ovd/8eb3pH/rB9ucsj243rZlKeGM/3I7uG5DpmRtf9acmkFfuuoxXMKO1vP3moPv8A5tT+StkCnKCU2ioiLXHn+FtdVTCjFiH7WRSRCSKyU0SWa167QERWiIhLREzVBfJGuzTlTdecbSRvSDKcYwdK4dCyWv9wz3ZObzk85V665myr/jHRvubBe9eUx/S3c/6XXFrGeR8uZPKovrVqXkFo5qaJszKrzWkPxenJNPaj1IGg/eyNPuOQ/aAqa/dTK6W2Vv3dCUwBjjNqG+5aWsuBcwHdXxiH8HPc6j/48b5/sa5zK+b3z7FVlv1p1iq1nXjm1FYotYikikhjz2NgGG5d0iWU2URni0iO12urqgQLul+tSe3tVV5RkEVXj7fb61c5d+zCKnPaf+y3N9W/5jmQP6N9DTn87Q32fk0v/1e4Is+8r5VYXsGv/3qWxwZewhcXdqBrnP61W01PhGtCJlY1BxslkXKozNAhZ8b0Nlou9LUHPVRY6ChrBUyp0psE4AOl1HdGjSN2Tm2mlpb3Pyh/Rnu8i0F4THG3F9tYmc0oHfhWZiO0fXTN2Va9vFZDbqj+QdK7rhV495ex/yCVSfDFGLdzYPebOQA0v6agRrvCoWUUeq2zWyGbR0k9Hm1XfBy7Wjamff5u8o9qWd1Ou1rg79pmd6WFWrkVQqV5R5nvvpTaAObTskasq1EpNV4p1Vcp1bcB1syRHWoSpxQppWWIy2W3KNVMO70LI6css1sMS3Ahpg6ridiR2gzev7IdNSOdFf2uKMgieUNSjZHVbCoiX68byZ0/o331Y19bFYMdXWrIrBSPv/slb586EBXn/m33TEsK/TjGrBrdtE4yD9+e0Y3XR79P62192ZFVO8Ald+zCantLzxw3+xkZOS+tujelnHVq0/j70L3DMf0FiOh5n7WPtUtT/ghU6TympMf89vejFMwXzshcvfin+WTuLeKGmy8NuE+r0JrfHgUvnpXJ9jbpNNt1oJZSe8z06v9HgflsML4ImQkea0ptUEtrD/AK0AL4WkSWKKVODfYavpTNqiR7dUk3ZLa9kTJbNXf1voecHbu5+5NpXPjAtZQnBP4V2P1mTq15d12Y7vq4+vFZcjbtUvawvlPLWu3W5fUxTLgQecTghg6DWlrgXmNzsImEikpefGMSL549hPys2opjN6mUcyglsdbOsGgk5kbqUOE96viKwfaVM1r7ulEBdjPmtF45Vj20S2FmEwZ6tzMy032N6N7Wxs1fzmBfagrvDdGvRGkG7ShthTVx+uxbqh/H/dieilE/c/SybdV7tPX+N6HCsgJ5CipdjlIHhb85s5l/UuKsTFq96d5CmDZxbvVmfvD/JdKt3KhznnYpzGiXkr9rGZnpvnJ9azlm/UYunfUbIx6/WTdyzAzeSpw7dqFuYv9gcSXE8eGYYxn91q/c/+I5IGIqY0okYlc20Yhd0nKwltSSUl54fTIPjT6bXU3S/J9gIzOGdSZjz0F6LdhstyhBo3Cb32YOq4nKkdqXeWwmc6T3iLqiIAuqlnOaX/NX6RhPW1/9a1MQG10neUOSbqSbVYEQZkzga7+dzcLcdnzf1/+GDV+F6brmbKvhKFuX16c6PZFVuBLimHjF8Yx+ay5L+maHdYTummNd0fmYc5SFCr05p1YpzCqGp93uN3PoauDJ9e4/eUNSjWwqvnaMeS+LGd2D93MzCq7dCOLruh4alpZx2Yx5nPfQ9YZ9avFWaG9ZrPR8G/Hz4FxGv/UrR67dpesJjwaUTRmmo06pHQJn0LJ1rGyXSUFr63KJhZo4l4vEsgrKE6J3hmiX9zt6PzEdgqniWDi0jK8HvazbhycoxWMBdDzlD1pNT6xRGCBQzEQ6BRIN5f1c79xTlq7mx16dA5DSfrI37qWkYaLPpIZ6EWmRgtv7HWfqsJqoG6l9eZj1vMBmFES7pOJr/pw/oz0dr3Gb0kUz2uOrgkc4l158/ZiJy8UpS1fz75GDTfcdyKaNUN1nSUoD0opKOOW7Vfx6QgcONaod/x/p3nC7zO+oHKk9o5nejirtY3/z0hUFWTVGae8+vDfYe0JGPY+DzSxqBWaVqfOWQoobJrOplf8SNt6fq53JGwoz03nj5kEMGLeC10dPJLtgT602kTxSg33e76hUagfzdNm0jeU5+jnHIp2fhnbiYRnI1HO6c+6kxXaLExAKcwrtLGl5EajpZ7Rf2GjE9zfSa1MQ+8ITCQa1PeHanVnax0bXDJTOm3cEXB9auzIAhCVBghGJszKZtiedV6/8gH7/y+fXEzvWeC+Ssau8YtQptfec1+x2R6ipzJ73T599C11z9JPte557zLzdo/pXr2e7a2lBxe0ZACS8sLfGtTxKD753X2nfM7tLKxDl7rR5BxNOrV0fWg/vH7O0iXPdb1yTWaudlXNpf/3ta5rCY+PO4Inrp3DJzA6oOHu8ygGhQNkUJuqY3zHO0Vt2sDo7skc0M6w7uhUuhCZ7D9ktimkc89sijLzjvkYDo/eq+8rz9PmXY6z5NQUUFmTVGKFrBcHkBHkTBjIGSot9+2lQUcmODOOwUO3o7/3YY97622hSV8z2N//UDlw2YR6v3nlyVIzWjvc7CPx9GbRz2WDzWnkU1N+mCTtT/BoxbNFK/tct1+fmDT0Pt94URNtO797Dcf/jbx5E9sY93PH0dOIrKkN+vbpgZ+x3VCu1vy+Tdo6qVXB/fXkrsjYIxYPee4GEqZrB03ewCnPqwhVMPa67qbaemG6Pc8zsj6C3bNXOtRBwsHES//jnWTQuPsyDD31DYmlFyK5VZxSgxNxhMVGt1A6++bNxKhkHomcOaobS5AY88fTpHEpN5Im7viDlQHD1zMKBUuYOq6k3Sq2XWEBrThqNst7v6T32NVcPZJS11IRViuxde9nbKNVnM638za8pMNysYRTw410NJRwBOZUJ8Tz/4DC2tMvgzqeng1IRGIgiKJe5w1RvIvEislhEpvprG3OOMrPU1fFjZtun3uuBzO3N9K1HYnkFt0/5gdTDpfzQ23fMt95SnpnPw7uogZHMoQojVXHCa7edxL+un8zF787no1nHheQ6dcLaUfhWYBXgdzN8KBMPTgBGAjuVUt2qXmsKTMLtFy4ALlRK7TXqw8EccS4Xw+cvp9/qDbTeU0y3jVtZntOGy++5ksr4eLvFCxkVDeJ56skRjLttCg1Lynnnmv4hr8xpGmXdLi0RaQucDjwF3OGvfbhrad0H/KiUygV+rHoeUvJntPfrJPOFr+CWUG/aMMv1X8/mhqmzyM9swceD+nDZPVdxzW2j2Z3e2O+5WrPayMT2dn55Ui978q0ZfRbh+HwKM9O57Y2LyF29kxeun0ynFTtCfk3TKJOHf14E7gFMVV0Iay0t4CzcaYMB3gFmAfdaeV3vL5LZBP9mTWSj88yeE+x1fJniw+cv47FRZ/BbZ/M/Xr7W5X0lRfBE2GkTKZjNWx4qips05IEXzubk6Wt44JFv2NckhecfHMqm9v43sYQW0yO1YX1qEfFYuwtFZLCZzsI9p26llPJ4NHbgLvzlUEdWHJFFjz+2BKTUQaEUvRdsJk1t5cTvS0g/WEL7+N2o9b+QXlJCi8/2siMzjeW92rCsZxu2t0kPKsFhQnklA3/KJ2vLPhqUV3IoNZFlvdqwtnMr46ATEWYO68zynm249dkfeW3sB4z++Ar+bNmojjddB8xXM/JVn3ogcKaIjACSgTQReV8pdZlRZ7Y5ypRSSkQMjQ8zBfKsxMyoqef4iQQTfFW7TDptKaxTH2bu45j5m7jj0eksGtaOTbsSKUptyPY26axp1pp9jRrSvP0BsjfupceiLYyaMA8ElvVsw/KebVjWqw1bs5tUK3nmln30m7OBvr9uJKm0gsLWaazsnsn+tGRGfOGupbWiRxalSQlk7DnE7eN+ILmknLkndmDOSUeysnsmrjih1Y5iui/ZRtelW+m+dCspB8tY0SOLt24YyK4LiqiQ/fZs/PCsU9e1G6XuB+4HqBqp7/Kl0BB+pS4UkUyl1HYRyQR2GjWsMj/GA6RJ02rl1ypWIJv564LHvGyVr3zuWDIyka2Qz8j7nVRWztjpv/D4pSP9yqQlf0Z7wxzkRp/p375dxZTLevPppX2q5Wk1PbHaPC8knRU92/Ddmd1AKTK3FtF96Va6LdnKRe/NJ6HCxab2Tcn48xCNiw8zb2B7Pr+gFwcaJ9F20z6OXrGdRvtL+WVQR6ae06OG0+vNm04ku2APA2bnc+0rs2m7aS+Cu/ztsp5ZLO/ZhikX9WbzEU2rR/O4iyD4HDV1p77kKPsSGAM8U/X3i0A7MEq4FwiB/hBUzxVP+ctpVDi0rM7KasUP0sCV69nZJI2ZAaYrCnT+2+6PP+mxeAsv330KoPmxMPqRE2F72yZsb9uEaad3BaVotaOYzC1FHGqUyLpONU3pVd2zmH56l+rnevP7zTlNmZTTlEmjjyX5UBmV8XGUJ8YHncM85Fis1EqpWbj9UD4Jdy2tZ4DJInIVsBG4MFTXry/sTmtE9q49tNxbzE4fGzfqhFJc/tavfH5hbw6nBDn2iVCYmU5hZu1KlsEQtBzhJNZSBPuopTWkrn0H4mk22oMc7GifW7XHOG0ihpUpfKXwtZKuOduozIln2rYuvP/a29z+xoUBj1pGHm/tZ3f658vI2lrEcw+fWp3z2yj4xqqpUCT4KuqKsccotMR0RFlItghqFPnrQS/XSFrofV29OXYotjBOPbcHl02YR8ND5ZSkBjaC+ZRBKS56fwGnTFnNYy+NpCwpoXr+bNe6dNSgBJxaWg7BMnj6Gn4bkBOwQvtEKW56fia5a3ZyzsN/p2X2Aev6ri84I3X48JkQwUTb6vaDjK9hdWIBnzHjv29j3gBr16gv/mk+uat3cu/L59IyxbdCW+3pDweeDSAhXe5ykiTYSzD7ofVMbwjtRgY92ufvZsORLerUh1Yx/5awkvs/+5brrxjFwp05QRVJiHQSZ2WGfv3aujDRgKiXI3Ws0Wz3QXa1si5y6pzJS/itf3vWt3EC/oLGouCTYKg3Sh1snHUwbczGVVsxoqccKCWptIKDOhUsfOHr2t+P7MI/HviacS0/44Oxx+GKj6tR9MDbQtHLc+bgeL9NE43zNwidt3jwD2uZN6B9wFsOjZb6AL5M7MXuNxtx830zuWPJdK675XJOR3+q4d1ntP5/wD3PttQkj9Q5tYjcLCIZ4RDGDGazjURiIkCriKt0kbllHxe8v4BL3/mNb8/sFlQ/KwqyyB27kNyxC2s59YoyUnj638NpkFHJ+A/fQ1zmvqHRpsharJ5jizJ3WI2Zn/dWwHwRmSwip4lEakxebNOgtIKhX6/kX9dP5pPTXmfcbVPI3FbEY0+PZGmf7JBc05UQx/MPDqPV9mIum/BrSK4R09iUeNCv+a2UekhE/gEMA64AXhWRycDbSql8yyVyqEXrrUWMu30KG9s3ZeIVx7O8RxalDRvUud9W0xP9jk5lSQk8Pm4kz9/wMYWZae44bj9E82htGSHybJvB1Jy6apvkDtx7oCuADOATEZmulLonlAIGSqx9oRoXlfDgP77ms4t689V5PQM+35fzyijc05viJg155Nkz+L9bPmNXy8YsPrZdwHIEQsw43CJ4Tn2riCwE/g+YA3RXSv0d6AOcF2L56i3Jh8oYM/4Xxl/2Pgv65fDVuT1slWdbdgbjHj2Nu56cxhH5u22VJVoQl7nDaszMqZsC5yqlTlVKfayUKgdQSrlwJxZ08EMw6WvP+nQpF05cyJNPjuCdawcEvb3Q34gXSMDNip5tGH/zIB697yua7g5t2GhMODsjNfhEKfWIj/dWWStObJI4KzPgXGYzhnUma/M+/vbdalb0DKy+tMer7bm2v7YezMj209+OouWOYh699yvufeU8SkKwBVJvx5hZ+SKFUHm2zRB169TRSqBfyF2tGjPlot7c+9h3wV3L5PJMMIry8ag+tN5WxL2PfcfjT43ElRDaaONoUuYa2BRR5sR+RzDxlS4qQqwwQSHCf+4YTJxLcd0rs+2WJnKxyfyOwG+Mg4f+/9vAqq6RWVu6MiGecY8OZ8j3qyO6npWdRHLwiYMNNN19gNM/X8Ynl/bx39gmSlITWd4ji8E/rLVblMhDRbb328EGRv33N6aN6MLOzBDlHbOIvOsGcGnePIZ/scy+9JmRimN+O3hI21fCCbPW88mlx9gtil8KOjbn7lfPZ+SU37n5nzNJKIvsYvBhpT4pdVVAy3IRWSEit9khQyTTbelWVnTPZH96Q7tFMcX2tk246z8XkFZUwjO3fUbGnwftFikisGpOLSLJIvKbiCyt0pnHfLUPu1KLSDfc2aKPA3oCI0XkyHDLEekYlpeJUEpSEnn68RHM75fDi9dNiqxCddFPKXCKUqon0As4TUT6GTW2Y536aGCeUuoQgIj8BJyLOwzVNgLNURZKCjPTaLW9OKTX8CQ9MErJFAwqTpg0+lj+6Nichx+YSt61A2ok6I8GLI1is8i0VkopwBPC16DqMOzdDvN7OXCiiDQTkRRgBFBr76CIXCsiC0RkQTn1a8mkyd4S9jYNbf0wjzJ/PejlGllNrOC3ge259+VzOe+jhVz/4iziK+rhPNti77eIxIvIEtylqqYrpeYZtQ37SK2UWiUizwLTgIPAEqDWf92ollZ9oEXhfna18l9buq5oR2lf6YqCYcsRTbnjtQu5+8lpPHXH54x7bDhFGaEvdBgoIY0vN/+tNSxlW92VUpVALxFpAkwRkW5KqeV6ndniKFNKva2U6qOUGgTsBZyFTg0tC/ezq2XolTrUHGqUxONPj2R5zza8eN1kjlxjWA8x5hACcpTtVkr11RzjjfpVSu0DZgKnGbWxJfZbRFoqpXaKSDvc82nDSX99pEXhfpb0DU02E19oTXK914NBxQnvX9WPDUc25/G7v+DNm05k5rDAivlFLRbZlyLSAihXSu0TkYbAUOBZo/Z2bej4VESaAeXAjVW/Prbgz/wKZSI9vWt3zdlGyx3FYRupfc2nrXSi/XLSkWzNzuChh76m49pdfD+yK3ubpnAgLdmya5ghbNs5rQ0BzQTeEZF43Nb1ZKXUVKPGtii1UupEO64bDSSWVtBh/W7yc+uWnD8S2dihGbe/fiG3PDeDR+/9ipRDZbz994H8MPzoyC1HWxcsCgFVSv0O9Dbb3tl6GSHkbinkwv8toNe+zczvn8PBxoHl8Q4WvdHYyhHamwNpyTz9xAjAXfP6gYe/IWPvIT4e1Tdk17QLZz91FKBnigdqnhuZf0+98zmrs1uzrGcbvjmrex0ljQ42tW/GE0+N5PG7v2RLdgZzB3UE7I0Z6JqzjY1WdeYodf2l47addNi+i8vuuYrc3PrjIQbY2i6Dj0Yfy/Avl7OsdxsONA7vHDtk2JhN1NnQYSdKcfKS1bz54ru8eubJlDWon7+xi4/NpmFJOf+9MI9/XT+Z3C2FtslipSPNrv3U9fNbZCF+TUKl6PfzBja2b8bA2fk8PGsqc7p0ZMURWVz3zWyaHDjEsxcO5/s+0RVOaSW7WzZmxN23EOdyccHshbzz/H857clbKU6tuaHFaLXAH4EoqmN+O/glzqX4x0PfADBnUEdeO/0khi1aycAV65l0Ul+mDOiNK84xmABccXFMGnws3Qu2cuen03hk9Flhvb7Vc/ZQJEAwg6PUIcYVH8eHo4+l0f7DvH7bYFYUZDGrZye7xYponjt/GD888AKzenRiZq8oDVSJ9AodsYyv6o++CKT97FNyeejBr2tcry74u3bUZt+soqhRCtfecjlvvvgu91x9HjN6HW3Y1mj1IdjPyKo5tVQdduDYfSEmsbyCcyYvCfmuq1hj8ZHtuOr2MTz31qd02L7LbnGCoz5lPqkPdNy2k9Z7irj7k+9ptusAjz1zht0iRR1LO2YzYdhAbpg6y25RgsLxfocAu8q23Dv5O86dswhRsK1ZOs8/N5RDjcITIQahjVcPN+8N6cfsu58j6899bGvWxGdbM/9vvc8jZN8TZ04dG7TcW8wls37j5GfvZG/jVAC6No9uxbKT4tSGTD6xL1d99zNPjIqi0m3K8X6HnECcKHWh85YdLD8iq1qh7SZaRm1f/5+3Tx3I9w+9xCtnncy+RqmG52nxd99hseKciLLYwBWLu41sprBpOt/36croH361W5SAcCp0xAjbmjWh3a49dosRc4wffiKjf5hLw9Iyu0Uxj03e75g2v41Ms1CZ4l1ztiHtFM0PHuD4ZhtCtjnBirX1cJvidf2c87NasuCoHC6cvYB3hg4I+trhvG+7tl46I7XFqDhhV8vGtNyx325RYo7XTx/ENd/+j4RoyE6qcCdJMHNYjKPUFnPUqh2kFZWwuV2G3aLEHEs6tmNTy6aMnPe73aL4JcDEg5YS0+a3lnB4O5MOl3PXk9N57bbBlCfpf7TB7jTy10ewmDFN7Vrv1+ONEYO489PpfD7Qnd0nlOG9daY+md8icntVTaDlIvKhiMTEzvgei7ewp1kKcwY7VYRCxc9dj+SInX/SYl9oK5hYgShl6rAaO2pptQFuAfoqpboB8cDF4ZYjFKQcLGdPs8hYn45VKuPj+bnrkZy0bJ3dovjGrOc7hszvBKChiJQDKUDkRkUEQFGTZDL2HAICM/PsMG/1rhlJZrYvZvXoxEnL1vLJiX3sFsUn9cb7rZTaCvwT2ARsB4qUUtO820VjLa383BYcuXYncRU2xQfWE2Z3y+WE5euIr4xsL7iVtbQCwQ7zOwM4C2gPZAGpInKZdzul1HhPGZIGhG8zRF3ouG4XFQnxxIVgnuTwF4VN09nRNJ2ef2yxWxTfWGR+i0i2iMwUkZVVvqhbfbW3w1H2N+APpdQupVQ58BkQWDRBBNJ503Zuf/QHrrppNEu3hr9kTn1jVo9ODFm82m4xjDG5nGXSRK8A7lRKdcFdoupGETFMameHUm8C+olIiogIMARYZYMclpFUVs7Lr33E0xePYH6n9naLUy/4dGBvzv95YWQHolg0UiultiulFlU93o9bX9oYtbdjTj0P+ARYBCyrksGwyl808MBH37CqXSafDTRdGcWhjqxv04oNrVtw7pxFdouiS4DBJ809/qOq41rDfkVycJfgiZz61ABKqUeAR4I5N5DgjXB4c4csXsUpS9cw4olbYrMeVAQz7qLTeOPl9zlm/SYWHdmOeZ3bs7FVc7vFqkZcpn0ru5VSfusOiUgj4FPgNqWU4UK9EyZaBxofOsy4/07htusuZH9KTMTPRBW/d8hm5OM3U9C6OUOWrGb6/S/aLdJfWLxOLSINcCv0RKXUZ77a1psw0VBww9RZzOjZiYVH5dgtSr3lz7RGvH76STQ5cJBZ9zxvtzg1sGq5qsr39DawSin1L3/tY0Kp7QiaSC0pZdTMeQx96rawX9uhNqIiMEGFdSubA4HLgWUisqTqtQeUUt/oNY4JpbaD3G2FFLRsRmHTdLtFcQCa7j/I/oaRNQWyKqJMKfUzAaQRd5Q6SPY0SqV58QFQynGQRQDHrN/Eko4RFB+gcH83bMBxlAXJppZNSah00Xb3PrtFcVCKy3/8lW+O7Wa3JDWoN2GiscKJy9eRXFbG4UTrjJ3csQst66s+cd6cRTSorGTaMZFTOdRJkhBltN21l5den8TVt41hd3pjy/pdlxfZu44ikdwthTzw0bdcct/VqEiqHqqUbea3o9QB0nJvMe88/19ePfNkfuvshITaSUJFJc+9/QkvnDOEtW1b2y1OLezaeukodQC03lPEh8+8yeRBfZlw6gl2i1PvuevTafzZOJX3T+lntyj6OEod2bTZvZcPnnmL9085njdHDLJbnHpP5p/7uP6b2fR9+YGIXX2oN0kSopHUklImPvsWecMGOAptgtyxC0Pu9BuwKt99ra07Q3qdoFFApTJ3WIwzUpvggUnf8Fun9vx32EC7RXEABqxYz0MffM2NN1zCrxHs13Dm1BHKCcvXMXjpGoY/6TPZBADJG/7K0HK4Q3SkYAoFofLipx0s4aYvZ3LWr0u44aZRzO3SMSTXsQwn+CTyGLRsLS++Pom7rz6f4tSGdotTrzl7zmJ+vO9fNC45zMjHbo58hcZZp45IHvjoG5rvP0hB68jZo1sfGTttDldM+4Wxd13BiiOiI+NpqNL/msFRah+c8dhN/H3qT7zw+iQuuf8aXJrgBo+pnZ6v/c9pHzumuBUkVFRy49RZXHzfNeRntbRbHNMIICFwgpnBMb99UJ6QwKtnngzANd/+LyCPbvbjv4RKrHrFpTPnsaJdVlQptId6U6Ej2nDFxXHHdRdyxbRfOFFFeEraGGTgynw+jvCk/brUwwodUcXW5hlcdftoPnhkPB+WDqckKbHapD7cQf+cwqF9QKcIQe7YhU6MdwAUpTakUUk0Tl/si/22I5l/JxFZojmKReS2cMvhjVHARKOSw7zx0ntMefw1JCWuzj+sjkKbZ/j8ZQz+fS3bmkVnIop64/1WSq0BegGISDywFZji65x0SolTLlzi/zeo1fTE6seFQ8tMy6WnbFl/7mP8S++xpEM2/V68jzilOJyUqHO2g9Vk/rmPp/I+59pbL2dBtOaAq6e7tIYA+Uqpjb4apVHKeKbziTqKbSXdONgwtGV4ksrKuXD2As6bs4j5R+Xw2KiRERtfHKsMWbKKGb06R7FC11/v98XAh3pvaAvkbSCR1+lJP7Yz945neOT9L0kN0TwrqaycRyZO5bIZ8/iubzc+m97SUWgbGLByA78cHfkBJj6xyVFmm1KLSCJwJvCx3vs1C+Qls0Ba86gM4JRn7qB58UGeekffYi/qKNVH8oak6sMI7fu5Wwr57qGXSDtUwqh7r+L1009i2TvH1/leHQKj8aHDnLByPTN7drJblDpRH5e0hgOLlFKFgZy0O70xD445myGLV1s6Wvdev4kP/u8tXj7rFG668VJLM5o4BMbIeb8zp0tH9jZOtVuUuuHJfuLvsBg7lfoSDExvfxSnNiQ/qwU9CqxZN25dtJc3X3yXu686jykDj7GkT4fgEJeL0T/MZdKgY+0WpW4owGXy8IOITBCRnSKy3MylbXGUiUgqMBS4Ltg+vj62O6NmzGP3s/uqX1uX1yfgkMzDHUoZ8t1Cfuh9NLN6dg5WHAeLGPz7Wiri45jV4yi7RakTgqWmdR7wKvCumca2jNRKqYNKqWZKqaJg+/jw5OPotKWQW9Qi+qlttFCHgjZllue0YfDva2m517DmmEOYuOSn+Xw0+LjYcE66XOYOPyilZgN7zF7Wbu930BxomMyl917NltOzOZN8/s2PjH/5/aDm2fM6d2Be5/YM/n1NCCR1MMMx6zfy7v+9TbudfzJlQC+7xak7gZnfpkvZmsHudeo6satJY5698DS48DQaVFTw4uuTePj6D3hLeugGk2gjxjzve8I2M/YfZE+0O2ailOu+/okxP8zl5bNO4dMTjqE8Iaq/ltUEYH6bKmVrlqgdqT14FLU8IYHnzxvGoIwdNRRWy7q8PrWUfV1eH/qN+ZkeBVv59WiDQG6HkNFi335umDqLsx++gY8GHxczCg3Y5v2OoU8QtjdNJ+PAoYDPO5N8vuzXkwMRVmCtPnDZjF+ZenwPdmak2S2KxdSjDR1Wox15410uVLmqHqG17+mZ3q32FHHm3CUM5w/ecLKEhp2ksnIunfkbE2IxoaOF2URF5ENgLtBJRLaIyFW+2sfESO1R2ATlIiFesf6t3tWv6yn2urw+/GPiVM6bs4jV2a25+sGxbG2eEX7B6zln/rqUFUdEZwIEM1i1pKWUuiSQ9jGh1B4qJI7CjDTaF/7JhswWhu26FmzltAXLOfGf97A/xTG5bUEprvx+Dk9fPNxuSUJHPd2lFTB6Wyu1o/Hi/6ylV/5m4u/fxLq8Prqm+FXf/cz0Y7rUUGi9dg6hY8DKfOJdLv7XLdduUUKDAlyOUpsibeJczePaSjinS0eGLVrJZ3mXAbXn1XHKxUnd1rJgeRq5P/5lnkeCMuvN+2OVK6fNYcKpA2MjyEQXp+qlaYpH9a+h2N7LViuVi3tZz72Tv0OUovXeIhpUVJK5p4j93ZLpuH0XqxNaM378mRGX8GBdXh8KRt8HQM67z9gsTehov2MXvfI3c+ONl9otSmhxlNoaSqQB96hBdEuo5HBiA9a0bUXq4VIOJCdzoGESW5tnsKpdpt1i1lvE5eKZCVMYP2IQpYkN7BYndCig0sRujRAQdUqtHaU9eJvYBZLO9HOj03z1jNAFo++LydG62f6DdNm4jUvuu9puUUKMAuUodcB4zzu1S1iex3Wdp9qV/TMWFdpDg8rKGoURYhbH/HaIdcTlYtyEKbzzt/52ixJ6HO93cHiPonqP6zrKxroXOly02Lefuz6dRtMDB7nh/Bh3kHlwwkQDR8/8dogssv7cx2PvfsH0B17gUFIDxt55RWxt2vCFs6HDIVZIKivnvsnfkbmniONXb+Cjwcfxt3G316+8b0pBZaUtl446pd788IDqx7lj3UXofJnaZhxlTikcC1GKhz+YypFbd/Lh4OO498pzKWqUYrdU9uA4yswRaDVJI0U3mos7BE+TAwd56fVJpB8s4fK7r3Li6uvTnFpEmojIJyKyWkRWiYhpd6g/ZTSqiVWfQjDt4r3/m8CG1i246P5rHYVGub3fZg6LsWukfgn4Til1flVS/3pqn8UGSWXlvPLaR+Ru28n5D10f25FiZlGg6kvwiYikA4OAsQBKqTLAdCU7X6azvxHaqA+HupF+sIRhi1Zy3xXnOAqtpR6FibYHdgH/FZGewELgVqXUQW2jqoyK1wIkawZyX8roreB6Ocn89eEQODsz0rjr6vO565NpzD8qJ2aTHgSEUqbS/4YCO+bUCcAxwGtKqd7AQeA+70Y1a2mFtsqlQ9355MQ+TDh1ILd9/mP1a0ll5TZKFAHUo7I7W4AtSql5Vc8/wa3kluKMxuHn0xOO4YTl63jlPx/yrzcmseaah7nhq5l2i2UbyuUydVhN2JVaKbUD2CwinpKGQ4CVwfZnRRSZE4lmDX+mNeLsR25gRs9OLO7Yjovvu4Yrpv1C2sESu0WzAZOjdAxFlN0MTKzyfG8ArrBJDgeL2diqORtbNa9+viq7Nf1Wb2Ban642SmUD9W1Dh1JqCWBJRQIrosQcUz107GrSmMYlh+0WI+woQDlhotbgK4Ggk1ww/BSnNCTtUP1Tardpbd18WUROwx3fEQ+8pZQy3HAfc0rtC0eZw8+u9EZ02L7LbjFsQVlkfotIPPBv3OWftwDzReRLpZSuLyqqt146RD4dt+9ibZtWdothD8pl7vDPccB6pdSGqmCtj4CzjBqLsinoPBBEZBew0W45dGgO7LZbiBAS6/cH+vd4hFLKuBqECUTku6q+zZAMaOco45VS4zV9nQ+cppS6uur55cDxSqmb9DqLCvO7rh9wqBCRBVaWII00Yv3+IHT3qJQ6zeo+zeKY3w4Okc9WIFvzvG3Va7o4Su3gEPnMB3JFpH1VbMfFwJdGjaPC/I5gxvtvEtXE+v1BFNyjUqpCRG4Cvse9pDVBKbXCqH1UOMocHBzM45jfDg4xhqPUDg4xhqPUJhGRCSKyU0SWa157rirP2u8iMkVEmtgoYp3Quz/Ne3eKiBIRs+uuEYnRPYrIzVX/xxUi8n92yWcVjlKbJw/wXnucDnRTSvUA1gL3h1soC8mj9v0hItnAMGBTuAUKAXl43aOInIw7OqunUqor8E8b5LIUR6lNopSaDezxem2aUqqi6umvuNcPoxK9+6viBeAe3BuPohqDe/w78IxSqrSqzc6wC2YxjlJbx5XAt3YLYSUichawVSm11G5ZQshRwIkiMk9EfhKRY+0WqK4469QWICIPAhXARLtlsQoRSQEewG16xzIJQFOgH3AsMFlEOqgoXut1Ruo6IiJjgZHAqGj+IujQEXfm16UiUoB7arFIRFrbKpX1bAE+U25+A1yY34gRkTgjdR2o2rh+D3CSUuqQ3fJYiVJqGVCd67dKsfsqpWJt19bnwMnATBE5CkgkynemOSO1SUTkQ2Au0ElEtojIVcCrQGNguogsEZHXbRWyDhjcX0xhcI8TgA5Vy1wfAWOi3eJywkQdHGIMZ6R2cIgxHKV2cIgxHKV2cIgxHKV2cIgxHKV2cIgxHKV2cIgxHKV2cIgxHKWOQUTk2Ko93skiklq1T7ib3XI5hAcn+CRGEZEncSeJb4i7Hvg4m0VyCBOOUscoValk5+Ou/DBAKWVPCUaHsOOY37FLM6AR7tj0ZJtlcQgjzkgdo4jIl7g3KLQHMo3qLjnEHs7WyxhEREYD5UqpD6rKoP4iIqcopWbYLZtD6HFGageHGMOZUzs4xBiOUjs4xBiOUjs4xBiOUjs4xBiOUjs4xBiOUjs4xBiOUjs4xBj/D+Q5bm55EinhAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6056,7 +6054,7 @@
     },
     {
      "data": {
-      "image/png": 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FHgDOUNXAiZlsQoZnD+jZk3n2br7WjLucZi7cnWXx6qAje3gO78EFva1625mZTq9VG/mqV1e2NciskMWbjN7w5eDzVc6zTtNWlEFIQhUZIdwJ8h4GkoBp4pzimK2qdpK8CMHzh+5PmfwtBHEp6bnDf2RL0/osGe1dqb2Z/y9dfi5PffAND3z6A3ffepXP9v3JH0wZzyWiHXK2m2J+x2SI4JqWIM8MAo39Qo0vZfb84QcKtuB6fSL7yN1e2+tY2/O9ivuuDc9ecx5z736BzPwC9qel+rwumDXbRhXe1J46BAEQjGAvE7UJCSlawqWs4018xzPzxYBFK9mXlkphYq0QSBYeTF77HRS2UocQI2NBX+agyxR04fnaE29j4kBtG63LWx3usrh82+4bNW5jMYtpxFzJ8tqGP6/2LVNm8keTBhz1sqvL13VmLTgxz/y2Lpi/rdQhxIhJaJa5Z8Qp5I2qjFdX5DatcI4lzsjyumS05PU19Jq3jjFPDmZ5y2bH1OFq09v2ysSSUlrl7eb+7T0NzVFHwuoxbzi3XlpjftsbOmxCwqhbrmQ8HRjz7w+of8h4GOCS+DiOpCRSm2hfUWZd1ku7p7aQQGa5Gaaz+3uevVpVe+kOOdthRmWz2n27ZmlCPN9LS7I6xXPVjHm8ccGZ3su7KL9O4+KY0q0T587M5QPa+3WGRWovDa5dWrb5XWPwN971N89qxDvtT3HNMPUDKZL7w2jd+O788W0BTfYfCjh/7P7eG+efyaRF/2HSPWdQ0G/HMcpv9QyBUZzLRO0MHTYxyEkbNrM6u0lQ12xpVI+XrjiXe78IHOMscpHY26UVySRvTDJULtSZIoI1H71tifRWhxmLNVx1V8fEPXnNH/RZu4FNF9evdM61Z9uXpz2ppBRUK/XS7rJFOnaCvBDhUuCjrYqCvvbQ0F74icRqCqH4cRpdKhmq9m/e+AtX/W8eqQXFvPrAWRSkJVXyVHu2W7HUdHxThuXN4p5vpvHIvy42XbZwYaX3O+aU2rMXdimz+/tVUXCbwMSXlnHtuDn0mbGeN/56JvPvjWdtdg/I9f7wOKaXHl/eQxeXcM/oabzwzGA2t6zcw1cFqxxstqPMJmrJzt3HJZ8s5NTf/2Btu8bc95/LOVS3Nio7Al/sQZeNW8nLSmdl58h3hvnDFaPMCqJOqZM3JlXqad13+7jOeVu44N5rG+mt/SU4N1KHr9VhscRJczfx1+enMenKbowafgq7stIrziXOyKIDlfdkJ3qZDnPRYvc+VmX4Pm+UYg+vebhRoNTuqY3hTZG8rTryDHHrfl32M7/7vdYdX6uajDwUomHqpTr0/WktN/17Js89N5hVnbzf6zGBClwbMfjT4eVJ9582Ubt+ScXrqiqnr2vC+XC1zW+biCLtYCGN8vLZ2iKTouRjN1ac8eNazv9iCQ135fPoyxexqXUD09rNbVmfbvM3m1afZYRotZgRYlap/fWSwYTI8Uyc7s8kNyKPZ5idSKTj4m08+PT3HKxbm8Y7DjGvVw6TL+7M+raNuODzJZz/xRJefaA/qzpkUZhaedOFi+J+O+gwo/L7vjarxJU6uH7s74y5q68hOa02sf1hdpAEEckF8oEyoNRfmp6YVWoX1dmt5BmZo6oK7SsgXiTSdf5m7n92Kn9/bCCLT25Ban4RZ/2wmrv+/hNZ2w6x8JQWPPDvS8nLyghcmQe+vgvX+9mb91MWH8e83i2POe8eWcVdiQMptNXDnxD01Geq6p5AhWJeqb19sZ49rr+lh6HI2+S+wymSyM7dxwPP/MDzzw5mRRfnzqqCtCS+uawL31zWhbgyB4544+NE9/tz71U75Gz32ss22JVPXpM0v3VUt3cOl9PSDpJgYzlxZQ7ue24q743sVaHQngSj0FWSwaGUhbiNcKEIpQ7D99JAROa7vR5bHk332Cphqogo8JaX8xVEnVIbnY7yh6cZ7auX9reiLND42r3396x/nZsX2OrpLpdst6+bTkliPD8M6RCSdoz0rvnpyaQf8p9Hqyq9dKD95KH6/IMYUwdKZQtwmqpuE5FGOGP8rS5PmFGJkD0WRWSciOwSkeVu710uIitExCEihvICeeJPoc3+cvIGFPus01Ohva2V9vae564pl/JbOf5LLirm0o8XMHFoj0o5ryA0Y9PEGVkV5rSLQxnJpAVQ6mBw/+x9fcYhe6CqufupVXVb+d9dwCTgFF9lw51LazlwCeD1CWMTfk5Z/Qc/PfRP1rVrzLxeOZbKkp9urlJbiWtMbYZSi0iqiKS5/gcG4tQlr4QymuhMEcnxeG9VuWCmtOHp4HI3pTyfym1GLCg3p4P3Yge7UT9Qtgt3PGUOpSnuWX9CcRlj/vkRT/e5mq+uaEWHOO9tN56WCCNDJlYFBXWSSDlS7NMhZ8T09jVdaMUQx0RHWWNgUrneJAAfqer3vgpH7JjaSC4tI/GpXTjHsf7HwN7q8KVowfxI3OvwNk/tKxSv2T9Ez/r7pq5FUspY/2Qy5MKet3MAaDAy95jr8gYUk+cxz26GbC4ldXm0HfFx7G6URssNe9hwQqOKcu6zBYHaNipXqNcKKEKZcUeZ/7pUN4LxsKwR62pU1bGq2kNVe9TC2P5nm+AQVZKPliKOyMl+NPW89gyZtMxqMUzB3k9dBUJlYnn2oO5P9aqYyoHk9Fanv62KptynKtc+P4e3B5zG8s3OKSzPHtoXZn3O7k4yF9+d35Exwz6gyfYe7GxaeYFLmxELKuwtb+a40c/I15DKrHtTteepDRPoQzea6dC9Pk/PqL/0qJ5yVOcH4e79NnJ9VX5w3pZkAlz1y1yy9h/ktjuv8XttddoOhLv57VLwQzOy2NEsg/q7D1dSapeZXiFXrjkP9pCZ4LGm1D5yae0D/g00BKaIyGJVPcfMds38gow8GKqzDNVfr+yqs7r3402hc3bu4f7PpnLFIzdRkpBQ6by3OtwfPHvezjHcqxthmuPTiv8vlItokbKP9W0bVSq3bnx3nwEXIo8Y3NDhI5cWOOfYbCwiobSMV96awCsX9WdD08qKYzWplHAkJbHSzrBoJOZ66lDhzTT2Nf70NxXl/r6vBOxGzGL32FrByO2rjL84Xv7idxvtve78+mcOpKbwv/7eM1Eawb2XNsOaOG/mXRX/x/3UktKhv3Lisu0Ve7S9fTehwrQEeQplDlupDeFvDOXN0WTkS0qckUXjt51bCNM/nFWxmd9be+5tAQGV2RNvJn0gMzyQLIGWQbo4af0mrpkxl8HP3Ol15ZiROjyVuM2IBV4D+1cVR0IcHw8/mWHvzObhVy4GEUMRUyIRq/JTR+yUlo25pBYW8a8xE3ls2EXsrpse+AIL+XlgOzL3FdB1/harRakyitP8NnKYTdT11P5WYBldJOLVu12+yqzByGPDIPky413X+QtB7M3k9vdeVU1LIybwTd/NZEGbFvzQI/CGDW8hnNzrd3eUrRvfvSI8kVk4EuL48PpTGfbOLBb3yA5rD90hx7yk8zHnKAsV3pS4KkrhKrvn7Rw6+PDkBjLhnTu1/lRmT4U1ai77emgYxdfY20XtomKu/XkOlz52i6F6VvhRaDA+n10dfu3XhmHvzOb4tbu9esKjAbVoTU/UKbVN8PRdto6VLbLIbWJeLLFQE+dwkFhcSklC9I4Qbe93NQh2lZd7mbwBxczp+1qFB9bbIhRP0xOAkXCwdfBfWigWmATirCWr+alru4DlPIcWVs4HZ2/aT2HtRL9BDSM6Rpli2trvYIk6pfY3NVSVqZ4OOduPmVLxNw22Irdpham+IrcpjTcoR1sFJb5p+BvruyMOB2ctWc0bQ/r5ra+qChwqxS9MqUX6wULO+n4Vs09rxZE6ldf/R6pCu7DK/I5K28Y1XvU3XRVIoV1LQ6f0fa3S++7tuJd1X1LaIWd7lQMRmoFRZWq3NY9DtZPZ3Nh7ChtvY3+rA/YB5GVl8Nadfek9egVjhn1Idu6+SmW8rR2PJKzyfkelUtsYp/3m7SzP8R5zLNL5ZUBbnpA+TL64E5dMWGS1OEGhGFNoe0rLg2BNP1/7hb2Z2YHqD8ZL7W/IUJ0gCb72YbvTbsvOoPNDu88MQHi83b5InJHF1H0ZvH7DR/T8vw3MPr31MeciGas2tEadUvtaQeavnAv3H6fr/Hkz76JDju/dXR1ytleYeXuG9qqYz3YFHjTyoPCnqIHm2f3ha17eve22W3Yy7pw+hurzfEikfzjLeWJkVqVyZo6lA9V3oF4KT48+n2dvmcTV01uhcdZ4lYNCQS1aJmqb3zHOiVt3sjo7sns0I6w7sTEOhLr7j1gtimFs87sKBGuqBrvFsfL67j8dYw1G5pKX27TS5gaXXOHYeBBotVzDA/nUKi1jZ6axZaGewwCXeWtk5V51MFrfvHNace24Obz+1zOjore2vd8hoComsLdzRjzE4fYYG1GEgQtX8n8d2wS1ecNVt7eltJ6RYFx4BpkIFWPv7Ev2pn3c+8I04kvLQt5edbBy7XdMK7WRrZfu5z17Wm9TWp51u58LRw/tTWZf93bOghVMPqWT13Oe8oPTMebyERh9CHq2XbE4JwQUpCXx+D8uJO3QUR597FsSi0pD1la1UUDF2GEyMa3UNZ29aalkHo6eMagRipJr8ewL53EkNZFn7/uKlMPVy9YSSlSNHWYTU0rtrzf2Zj67m5O+elnPc97+9zdWD8YsNdWEVSV7937210n1W8xd/gYjc31OXxlZ8ANVzwwaDGUJ8bz86EC2tsjkry9MA9UIXIgiqMPYYag2kXgRWSQikwOVjWql9hVswAieylmVtgOtaAsWs0z3xJJSHvz0B1KPFvFjN/9rvj0fbkbl9lU2mCFPddA44c1RZ9AwL5+r3p8XmXPWavAwxt3AKiMFQxl4cBwwBNilqh3L36sHTABycO5avkJV94dKhppCnMPBoHnL6bl6I032HaLjpm0sz2nGdQ/cQFl8vNXihYzSWvE8/9xgRo+aRO3CEt4b2SvkmTkNo+bt0hKR5sB5wPPAvYHKhzuX1kPAT6raBvip/HWVMbqaqzo9hr/FLVbuYnLnlikzuW3yDDZkNeTTvt259oEbGTlqGHsy0gJe625W+zKxPZ1f3vaN+1oIE2rysjIY9daVtFm9i3/dMpG2K3aGvE3DmNdTvwI8ADiMFA5rLi3gQpxhgwHeA2YAD4ZKBjD+wzI6/eXrOiNLSoOt2yiD5i3j6aHnM7ddS7/ljOxq8/a+50q84n47jomMUt3ILdXlUN3aPPKvizhz2hoeefJbDtRN4eVHB7C5pfdNLOHDcE/tMz+1iLis3QUi0s9IZeFefNJYVV0ejZ04E3/ZVJMVxzWl8x9bAyp1tVGl2/wtpOs2Tv+hkIyCQlrG76F0ZxwZBYU0cRxiZ1Y6y7s2Y1mXZuxolhH0HDlAQkkZfX7ZQNOtB6hVUsaR1ESWdW3G2naNfS86EWH6wHYs79KMu1/6iTdHfMSwT69nb6M61bzpamCoXwX856fuA1wgIoOBZCBdRD5Q1Wt9VWbZijJVVRHxaXwYSZBnJkZN+UC9nRWsapFF26151arDyH2cNG8z9z41jYUDW7B5dyIHU2uzo1kGa+o34UCd2jRoeZjsTfvpvHArQ8fNAYFlXZqxvEszlnVtxrbsuhVKnrX1AD1/20iP2ZtIKiolr0k6KztlkZ+ezOCvnLm0VnRuSlFSApn7jnDP6B9JLixh1umt+O2M41nZKQtHnNB45yE6Ld5OhyXb6LRkGykFxazo3JR3buvD7ssPUir51jjRXPPU1a1G9WHgYYDynvo+fwoN4VfqPBHJUtUdIpIF7PJVsNz8GAuQLvUszeDmMi+DSekaDmXvkLOdWkWl3DR9Jm/febppwwZfS1DP/m4Vk67txufXdD/mM3GZ53lksKJLM76/oCOokrXtIJ2WbKPj4m1c+b95JJQ62NyyHpl7j5B26Chz+rTky8u7cjgtieabD3Diih3UyS/i976tmXxx52OcXm/fcTrZufvoPXMDN/17Js0370dwpr9d1qUpy7s0Y9KV3dhyXL2K3jzuSkg0/ImYT02JUfY1MBx4sfzvV2FuHwh+l1FF2ZF/Oo3yBhRXW3HN2O3UdcEW9jVIZV6v4EzvYNtt8cdeOi/aymv3n3Xs9b4eciLsaF6XHc3rMvW8DqBK452HyNp6kCN1ElnX9lhTelWnpkw7r33Fa28PnS059ZiQU48Jw04m+UgxZfFxlCTGV8nEDwsmK7WqzsDph/JLuHNpvQhMFJEbgU3AFaFqv6ZwIDOFJtsPUW/PYfY1CNH4UZXr3pnNl1d042hKFfs+EfKyMsjLqpzJsipUWY5wEmuBB/3k0uofqjaNEmh3k6+yK3Kb0qZ8j3H6h/jMTOEe+shXe2ax7sTGTLmoE48/MoV73roi6F7Ll4zuVsR5Xy6j6baD/P2JcypifvsK0GDWvUaCr6K6+PYYhZao3noZbjrkbD9Gkae4RSGtVI7KP3jP98z64U6+pDPXjptD7SMlFKYG14P5lUGVKz+Yz1mTVvP0q0MoTkqoGD9bNS8dNaiAnUvLpqr0m7aGub1zglZov6hyx8vTabNmFxc/cSuNsg+bV3dNwe6prSXYXmZFblPo6/98KAMLuNNh6Xbm9DZ3jvqqX+bRZvUuHnztEhql+FfoUC+uCQWuDSAhne6ygyREH95MbzA/hlcgWm7Yw8bjG1arDnfFPDthJQ9/8R23XD+UBbtyDC+zjRaFBqcyh3z+2twNHYaxe+oYoP6eAnY3Ns/zffHExczt1ZL1zewFf1XGpMUnVcHuqatIsOGRvG0sMWNrYsrhIpKKSinwksGiqvwwpD1dF2xh9E9f0Cl7Kx1ytjOl72sVhydG91rXNESNHWYTdT11NI7fIHTe4n4/rmVO75ZV3nLoTRE3nNCIu9++kjsfms69i6dx813XcR7ehxrueIttFk2YnpsrUsfUInKniGSGQxgjWBELLNKIK3OQtfUAl38wn2vem8t3F3SsUj0rcpvSZsQC2oxYUOnzPJiZwgtvDKJWZhljP/4f4jD2C43m78XsMbZVPbWRx3tjYJ6ITBSRc0UidU1ebFOrqJQBU1byz1sm8tm5Yxg9ahJZ2w/y9AtDWNI9OyRtOhLiePnRgTTecYhrx80OSRsxjUWBBwOa36r6mIg8DgwErgdeF5GJwLuqusF0iWwq0WTbQUbfM4lNLevx4fWnsrxzU4pq16p2vY2nJQbsnYqTEnhm9BBevu1T8rLSneu4AxDNvbVphMizbQRDAzFVVZz7n3cCpUAm8JmI/C2EstkAaQcLefTxKXxxZTeeeukCFpx6XFAK7c95ZTRH1qG6tXnypfMZ9s5sus3bbLjtGo9FU1pGxtR3i8gC4G/Ab0AnVb0V6A5car5INgDJR4oZPvZ3xl77AfN75vDNJZ0tlWd7diajnzqX+56bynEb9lgqS7QgDmOH2RjpqesBl6jqOar6qaqWAKiqA2dgQZsAVCV87YWfL+GKDxfw3HODee+m3lXeXmimKbyiSzPG3tmXpx76hnp77GWjAYnUnlpVn1TVTT7OGQpZWtNJnJEVdADEnwe248dz2nH296uDbm9FblOK++0w9DAJlOXDk1/OPoFvL+zEUw9+Q+0joY/xHa0Y9Xxb5f22MYFgp+F2N05j0pXdaLci+F7eldzOyBRNVaYIPx3anXVtG/Hg098TVxoC+zFWsNPu2HgSX+agNCECvyIR/nNvP+Icys3/nmm1NJFLpJrfNtbR6/82sqpDBGaewJn6ZvRTg+j/w+qIzmdlJbb5bXMM9fYc5rwvl/HZNd0DF7aIwtRElnduSr8f11otSuShke39trGAof+dy9TB7dmVZSxhvFWMv7k314yfw6CvllkXPjNSsc1vGxfpBwo5bcZ6PrvmJKtFCUhu6wbc//plDJm0lDv/MZ2E4shOBh9WapJSly9oWS4iK0RklBUyRDIdl2xjRacs8jNqWy2KIXY0r8t9/7mc9IOFvDjqCzL3FlgtUkRg1phaRJJFZK6ILCnXmaf9lQ+7UotIR5zRok8BugBDROT4cMsR6fhMLxOhFKYk8sIzg5nXM4dXbp4QWYnqop8i4CxV7QJ0Bc4VkZ6+ClvRU58IzFHVI6paCvwCXGKBHBFLXlY6jXccCmkbvgIeVAeNEyYMO5k37jmTJx6ZzIApK02tP+owyfxWJ64lfLXKD59XWqHUy4HTRaS+iKQAg4FKewdF5CYRmS8i80uoWVMmdfcXsr9eaPOHueKrhUK55/ZpyYOvXcKlnyzglldmEF9aA8fZJnu/RSReRBbjTFU1TVXn+Cob9sgnqrpKRF4CpgIFwGKg0rceSbm0wk3DvHx2Nw6cW7q6uAdOdFdsXwEVg2HrcfW4980ruP+5qTx/75eMfnoQBzNDn+iwupgaksn4r9ZnKtuKqlTLgK4iUheYJCIdVXW5t8oscZSp6ruq2l1V+wL7AXui041GefnsbhR6pQ41R+ok8cwLQ1jepRmv3DyR49f4zIcYcwhBOcr2qGoPt2Osr3pV9QAwHTjXVxlLYpSJSCNV3SUiLXCOp30O+msiDfPyWdwjNNFM/OFuknt7vyponPDBjT3ZeHwDnrn/K96+43SmD2xXLTmjBpPsSxFpCJSo6gERqQ0MAF7yVd6qwIOfi0h9oAS4vfzpYwnBmFvhiujRaOehsPXU/sbTZpjhLn4/43i2ZWfy2GNTaL12Nz8M6cD+eikcTk82rQ0z6JCzHa9bEoPF3CWgWcB7IhKP07qeqKqTfRW2RKlV9XQr2o0GEotKabV+DxvaVC84fySyqVV97hlzBXf9/WeeevAbUo4U8+6tffhx0ImRm462Opi0BFRVlwLdjJaPuhDBsUqLP/Yy4NuVZG/ez7xeORSkmRfH2x/eemMze2hPDqcn88KzgwHnPT/yxLdk7j/Cp0N7hKxNq7CzXkYBZsS09mXuP/nCN6zObsKyLs349sJOVao72tjcsj7PPj+EZ+7/mq3Zmczq29pqkczFVuqaS+vtu2i1YzfXPnAjbdrUHA8xwLYWmXwy7GQGfb2cZd2acTgtssbYVSbSo4nahAhVzly8mrdfeZ/XLziT4lo18xm76ORsaheW8N8rxvPPWybS4o+9VotkCnbanVhFlZ6/bmRTy/r0mbmBJ2ZM5rf2rVlxXFNu/nYmdQ8f4aUrBvFD9/ZWS2oZexqlcf8blxFX5uDs71bxzP1fc/t/rwmbXyFk2OZ3bBLnUB5/7FsAfuvbmjfPO4OBC1fSZ8V6JpzRg0m9u+GIsw0mAEd8HFOHdOD4Nbu47t1ZjBnVz2qRqkUoAiAYwVbqEOOIj+PjYSdTJ/8oY0b1Y0VuU2Z0aWu1WBHN+yN7MWb4hyw49Tjm9WpptThVw8IxdY1XapcXO9g1v67yRrzgM89qw2OPTjFc3mjb7sRSqpvD6ck8+9x5PPHIZF55sD/zekefYkv5YQW23RdiEorLuHji4pDvuoo11nRowtMvDuGeF3+k2eb9VotTNWpS5JOaQPNN+6i/6zDD3/6d+rsP8/SL51stUtSx9sQmfHV5V674cH7gwhGI7f2OUryZwg9O/J4rZs9HVNndOI3nnhvMkTqh9eT6Gj5Eu1k+5aJOvHP1+2Hbjmoq9pg6Nmi0/xBXz5jLrR8N5VDd6IgxFskcTktm2uD2XPTpYt6+I4q2DKh13u8ab34Hm+PKHx1ytnNOyQpy29UPqUIHkyYn2FxZkciXl3el//erSDtYaLUowWGPqWMDRyzuNrKYvQ3rMOv01gyZtMxqUYLCztARI+xunEaT7aENGlgT+fyqbgyZtJSkwhKrRTGORT21PaauJp5m8PbmdUk/WEid/KMh35zg3nY0m9dG2HpcPVZ2ymLgtyv55tIuptYdqs/Oqq2Xdk9tMhon7G6URqOd+VaLEnN8dk13LpmwKDqikyrOIAlGDpOxldpkTli1k/SDhWxpkWm1KDHHmvZN2NE0g74/r7NalIAEGXjQVGqk+R0qcyvpaAn3PTeNN0f1oyQpvB9tuE1xK8z9Djnb+fzqk7ju3dnREbywJpnfInJPeU6g5SLysYjExM74zou2sq9+Cr/1s7MIhYpF3bPJ2nYwKvJ1iaqhw2ysyKXVDLgL6KGqHYF44KpwyxEKUgpK2Fc/1WoxYhpHQhyLu2fTfe5mq0Xxj1HPdwyZ3wlAbREpAVKAkK9lDIe5eLBuMpn7jhguH0imYJZ4Grm/aPeQu+T/6vgu9J2+jldP7O+zbKDPLhyfRY3xfqvqNuAfwGZgB3BQVad6lovGXFob2jTk+LW7iCu1aH1gDWFmxzactnwd8WWR7QU3M5dWMFhhfmcCFwItgaZAqohc61lOVce60pDUIjrC2rRet5vShHjiQjBOsvmTvHoZ7KyXQZc/tlotin9MMr9FJFtEpovIynJf1N3+ylthfp8N/KGquwFE5AugN/BBKBsNlTnmuq7d5h3c//JUnntuMKW14k2t25OqBnaIJWZ0bkv/RatZePxxptYboRk6SoG/qupCEUkDFojINFX1mivYCu/3ZqCniKSIiAD9gVUWyGEaScUlvPbmJ7x7ax9WdGlmtTg1gs/7dOOyXxeQEMkLUUzqqVV1h6ouLP8/H6e++PyhWTGmngN8BiwElpXL4DPLXzTwyCffsqpFFj+fEwVzpzHC+maN2dikIZf8ttBqUbwS5OKTBi7/Uflxk896RXJwpuCJnPzUAKr6JPBkVa6tapYMM7JreKP/olWctWQNg5+9ixayz2t7ZlOTzW53Rl95Lm+99gEnrd/MwuNbMKddSzY1blCpXDCfl5mfrTgM2997VDVg3iERqQN8DoxSVZ+7huxlotUg7chRRv93EqNuvoL8lJhYPxNVLG2VzZBn7iS3SQP6L17NtIdfsVqkPzF5nlpEauFU6A9V9Qt/ZWvkMlGzuG3yDH7u0pYFJ+RYLUqNZW96HcacdwZ1Dxcw44GXrRbnGMyarir3Pb0LrFLVfwYqH9VKbbZXORhSC4sYOn0OA54fZWq9NlVD9NgAFRHxXZjn/e4DXAcsE5HF5e89oqrfeisc1UptJW2255HbqD559TKsFsUGqJdfQH7tyBoCmTWlpaq/EkQYcVupq8i+Oqk0OHQYVGMzYXqUcdL6zSxunW21GH+iOH8bFmA7yqrI5kb1SChz0HzPAatFsVHlup9m8+3JHa2W5BhqzDLRWOH05etILi7maKJ5xk6bEQtMq6smcelvC6lVVsbUkyInc6gdJCHKaL57P6+OmcBfRg1nT4Z5AebXje9uWl01hTZb83jkk++4+qG/oJGUPVTVMvPbVuogabT/EO+9/F9ev+BM5raLvsRtsURCaRl/f/cz/nVxf9Y2b2K1OJWwauulrdRB0GTfQT5+8W0m9u3BuHNOs1qcGs99n09lb1oqH5zV02pRvGMrdWTTbM9+PnrxHT4461TeHtzXanFqPFl7D3DLtzPp8dojETv7UGOCJEQjqYVFfPjSO4wf2NtWaAO0GbEg5E6/3qs2ONvatiuk7VQZBcrU2GEydk9tgEcmfMvcti3578A+VotiA/ResZ7HPprC7bddzewI9mvYY+oI5bTl6+i3ZA2DnvMbbMLGjVB58dMLCrnj6+lcOHsxt90xlFntW4ekHdOwF59EHn2XreWVMRO4/y+XcSjVTktrJRf9toifHvonaYVHGfL0nZGv0Njz1BHJI598S4P8AnKbVN6jaxM+Rkz9jeun/s6I+65nxXERsFHDCCEK/2sEW6n9cP7Td3Dr5F/415gJXP3wSBxeFjc0npbo9dq8AcWhFq9GkFBaxu2TZ3DVQyPZ0LSR1eIYRgAJgRPMCLb57YeShARev+BMAEZ+939BeXTtJZ/mcM30Oaxo0TSqFNpFjcnQEW044uK49+YruH7q75yuER6SNgbps3IDn54ehctna2CGjqhiW4NMbrxnGB89OZaPiwZRmPSnye3LzM4b4P2H2GbEAnuNdxAcTK1NncLoSOZwLNat/bYimH9bEVnsdhwSkVHhlsMTXwsm6hQe5a1X/8ekZ95EUuKq/WC1Fdo4g+Yto9/StWyvH52BKGqM91tV1wBdAUQkHtgGTPJ3TQZFxKkDhwR+Brk7roJxVnlTtqZ7DzD21f+xuFU2PV95iDhVjiZ5d4zZmEvW3gM8P/5Lbrr7OuZHawy4GrpLqz+wQVX9JkVIp4ixTOMzPYHthR0pqB3aNDxJxSVcMXM+l/62kHkn5PD00CERu744Vum/eBU/d20XxQpdc73fVwEfezvhniBvI4mMoQs92cGse1/kyQ++JjVE46yk4hKe/HAy1/48h+97dOSLaY1shbaA3is38vuJkb/AxC8WOcosU2oRSQQuAD71dv7YBHnJzJcmPCW9OevFe2lwqIDn3/NusR9sLRVHsLTZmsf3j71K+pFChj54I2POO4Nl750adD021SPtyFFOW7me6V3aWi1KtaiJU1qDgIWqmhfMRXsy0nh0+EX0X7Ta1N662/rNfPS3d3jtwrO44/ZrTI1oYhMcQ+Ys5bf2rdmflmq1KNXDFf0k0GEyVir11fgwvQNxKLU2G5o2pHOuOfPGWXsP8PYr73P/jZcyqc9JptRpUzXE4WDYj7OY0Pdkq0WpHgo4DB4BEJFxIrJLRJYbadoSR5mIpAIDgJurWseUkzsx9Oc57HnpQMV768Z352ir4HvvwfOW8WO3E5nRxU5wZzX9lq6lND6OGZ1PsFqUaiGYalqPB14H3jdS2JKeWlULVLW+qh6sah0fn3kKbbfmcZcupKdup6EeqbIpszynGf2WrqXRfp85x2zCxNW/zOOTfqfEhnPS4TB2BEBVZwL7AhYsx2rvd5U5XDuZax78C1vPy+YCNvAGPzH2tQ+qNM6e064Vc9q1pN/SNSGQ1MYIJ63fxPt/e5cWu/YyqXdXq8WpPsGZ34ZT2RrB6nnqarG7bhovXXEuXHEutUpLeWXMBJ645SPekc5eF5O4rxhznXct28zML2BftDtmopSbp/zC8B9n8dqFZ/H5aSdRkhDVP8sKgjC/DaWyNUrU9tQuXIpakpDAy5cOpG/mzmMU1p1147tXUvZ147vTc/ivdM7dxuwTW4VHaJsKGh7I57bJM7joidv4pN8pMaPQgGXe7xj6BGFHvQwyDx8J+roL2MDXPbtwOMISrNUErv15NpNP7cyuzHSrRTGZGrShw2zce954hwMt0Yoe2v2cN9O78b6DXDBrMYP4g7fsKKFhJ6m4hGumz2VcLAZ0NDGaqIh8DMwC2orIVhG50V/5mOipXQqboA4S4pX173SreN+bYq8b353HP5zMpb8tZHV2E/7y6Ai2NcgMv+A1nAtmL2HFcdEZAMEIZk1pqerVwZSPCaV2USpx5GWm0zJvLxuzGvos1yF3G+fOX87p/3iA/BTb5LYEVW744TdeuGqQ1ZKEjhq6SytovG2tdO+NF/1nLV03bCH+4c2sG9/dqyl+4/e/Mu2k9scotLdyNqGj98oNxDsc/F/HNlaLEhoUcNhKbYj0D2e5/V9ZCX9r35qBC1fyxfhrgcrj6jh1cEbHtcxfnk6bn/40zyNBmb2N+2OVG6b+xrhz+sTGIhOv2FkvDXNoaK9jFNtz2mqlOniQ9Tw48XtElSb7D1KrtIysfQfJ75hM6x27WZ3QhLFjL4i4gAfrxncnd9hDAOS8/6LF0oSOljt303XDFm6//RqrRQkttlKbQ6HU4gHtS8eEMo4m1mJN88akHi3icHIyh2snsa1BJqtaZFktZo1FHA5eHDeJsYP7UpRYy2pxQocCZQZ2a4SAqFNq917ahaeJnSsZTLskOs1XVw+dO+yhmOyt6+cX0H7Tdq5+6C9WixJiFNRW6qDxHHe6T2G5/q/uONWq6J+xqNAuapWVeU2MEHPY5rdNrCMOB6PHTeK9s3tZLUrosb3fVcOzF/X2f3V72Vj3QoeLhgfyue/zqdQ7XMBtl8W4g8yFvUw0eLyZ3zaRRdO9B3j6/a+Y9si/OJJUixF/vT62Nm34w97QYRMrJBWX8NDE78nad5BTV2/kk36ncPboe2pW3DdVKCuzpOmoU2pfa7k9z3mW8XXeVcY2s01ClSc+mszx23bxcb9TePCGSzhYJ8VqqazBdpQZI1gT25ei+xqL21SduocLeHXMBDIKCrnu/hvtdfU1aUwtInVF5DMRWS0iq0TEsDs0kDL6yolVk5ZgWsX//jaOjU0acuXDN9kKjTq930YOk7Gqp34V+F5VLysP6l9D7bPYIKm4hH+/+Qlttu/issduie2VYkZR0Jqy+EREMoC+wAgAVS0GDGey82c6B+qhfdVhUz0yCgoZuHAlD11/sa3Q7tSgZaItgd3Af0WkC7AAuFtVC9wLlUdUvAkg2a0j96eMngruLSZZoDpsgmdXZjr3/eUy7vtsKvNOyInZoAdBoWoo/G8osGJMnQCcBLypqt2AAuAhz0LH5tIKbZZLm+rz2endGXdOH0Z9+VPFe0nFJRZKFAHUoLQ7W4Gtqjqn/PVnOJXcVOzeOPx8ftpJnLZ8Hf/+z8f8860JrBn5BLd9M91qsSxDHQ5Dh9mEXalVdSewRURcKQ37AyurWp8Zq8jslWjmsDe9Dhc9eRs/d2nLotYtuOqhkVw/9XfSCwqtFs0CDPbSMbSi7E7gw3LP90bgeovksDGZTY0bsKlxg4rXq7Kb0HP1RqZ272ChVBZQ0zZ0qOpiwJSMBGasErNN9dCxu24aaYVHrRYj7Cig9jJRc/AXQNAOLhh+DqXUJv1IzVNqp2lt3nhZRM7Fub4jHnhHVX1uuI85pfaHrczhZ3dGHVrt2G21GJagJpnfIhIPvIEz/fNWYJ6IfK2qXn1RUb310ibyab1jN2ubNbZaDGtQh7EjMKcA61V1Y/lirU+AC30VFrVo0XkwiMhuYJPVcnihAbDHaiFCSKzfH3i/x+NU1Xc2CAOIyPfldRshGXAfo4xV1bFudV0GnKuqfyl/fR1wqqre4a2yqDC/q/sBhwoRmW9mCtJII9bvD0J3j6p6rtl1GsU2v21sIp9tQLbb6+bl73nFVmobm8hnHtBGRFqWr+24CvjaV+GoML8jmLGBi0Q1sX5/EAX3qKqlInIH8APOKa1xqrrCV/mocJTZ2NgYxza/bWxiDFupbWxiDFupDSIi40Rkl4gsd3vv7+Vx1paKyCQRqWuhiNXC2/25nfuriKiIGJ13jUh83aOI3Fn+Pa4Qkb9ZJZ9Z2EptnPGA59zjNKCjqnYG1gIPh1soExlP5ftDRLKBgcDmcAsUAsbjcY8icibO1VldVLUD8A8L5DIVW6kNoqozgX0e701V1dLyl7Nxzh9GJd7ur5x/AQ/g3HgU1fi4x1uBF1W1qLzMrrALZjK2UpvHDcB3VgthJiJyIbBNVZdYLUsIOQE4XUTmiMgvInKy1QJVF3ue2gRE5FGgFPjQalnMQkRSgEdwmt6xTAJQD+gJnAxMFJFWGsVzvXZPXU1EZAQwBBgazT8EL7TGGfl1iYjk4hxaLBSRJpZKZT5bgS/UyVzAgfGNGBGJ3VNXg/KN6w8AZ6jqEavlMRNVXQZUxPotV+weqhpru7a+BM4EpovICUAiUb4zze6pDSIiHwOzgLYislVEbgReB9KAaSKyWETGWCpkNfBxfzGFj3scB7Qqn+b6BBge7RaXvUzUxibGsHtqG5sYw1ZqG5sYw1ZqG5sYw1ZqG5sYw1ZqG5sYw1ZqG5sYw1ZqG5sYw1bqGERETi7f450sIqnl+4Q7Wi2XTXiwF5/EKCLyHM4g8bVx5gMfbbFINmHCVuoYpTyU7DycmR96q6o1KRhtwo5tfscu9YE6ONemJ1ssi00YsXvqGEVEvsa5QaElkOUr75JN7GFvvYxBRGQYUKKqH5WnQf1dRM5S1Z+tls0m9Ng9tY1NjGGPqW1sYgxbqW1sYgxbqW1sYgxbqW1sYgxbqW1sYgxbqW1sYgxbqW1sYoz/B4lfeK2vnujlAAAAAElFTkSuQmCC",
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E6WK672CWlGqv88afYn9/yv+qXTHjqM7J6v4veppqe32n3/1eT0RaAHOVUpme5ycD9yqlhhu1d9zvGkYbt5kdp4eC2R+99/XSxuaSNjYXOGKp9cod6FreVrtE4rmM4WwghRUciYZ7W/aUPnWI89RyXjOpV4Vl1kicmUHizIyg5q+1OWl/yQ3DfYMtJ87UIxBKqe3AZk9+P4DTgeW+2se0++1gP0ezl3Li+NrHbqxH6M8dRct5gtk0UiUsG7+OD8oHY+yMRw8KyxMg3AxM9kS+1wNX+WoYzmyiRgXy/g2chTtytw64Sim1N1wyRDpGUXKrpsy0fkoGbvNrrSolFhh75Hh2Zl6Fhc7JbVlleks7lzWw8ooyb2vdmQL+olmlonna67X3eN2hnjxw3cesogl3zl7A79dl8fUdR6Lt+t1W2jHtud7b0H9mgcbY/qYrrcLKKS2l1GLA1JAgnJZ6EvAK8J7u2AzgPqVUmYg8C9wH3BNGGSIe7x+SVUpe0X6SudflDyqpKKrjfc3szLwq8yf6cbZ+7K1X6Djl4izW8QaV14qvmdSLbPIqXeeBd68EoM9rB+j65nK+7t+joq03/lbB6fH3mfk6Z5VL7s77HWNrv5VSvwO7vY5NV0qVeZ7OBVqH6/oO9hOPIpXD/I25kq4Ai9u3pif51CkrC9w4ojGXyijW0hldDXzi62QoBfJiAV+WOZBraLaqhTdGu9kKJmSa3ovuL4hWKvFMV0dxBhv5jI6VzvmabtyfVJ8e7KT36o3MOS5wAgV/05a+XOyamIFwpwiuRUkSROQBoAx3PS1DlFLjgfHgntKqIdEihkAr1oyOa5hRaG9l0feZNja3Un3LggmZpFA1iwgQMDq+nQYkU7kGljf6ef3kHw+xuH1r5hzXwfR7MepHj16R/a0T0P63ZEWZEtvcbztK2Y7BHUA7XUXDJLlDtehMAT+Sabp935UbmN7zuMANo4BakXhQRIYAdwOnKKUCF2ZyqIQvF9zI7QzkYnpbQH379BmJpI3NpWBCJuC23IytGu3W8LU4JV656EwBT9LX8LzR4pDtqSn0W7Ge5SMz2NkixTB9VXXxN5SxNFAWa+mMfBTIuw+oC8wQ9xTHXKWUUyTPAnxN7QR6jeEYdFBL0qBiIQocUVzv5aP+yGQf+TSgSOoYnjdyrZ8dOYRHP/iW8/67mFtvuCSoMbA/ZTU7XWWV+x2TKYIjrUBeoLFfLGF2aifQllO9pdZPW2lJ+8F/NpVj2c1qUiuee68fN0xWUB8+u7cX7503kdTCg1Vk1L8ukjPRuKe0YsxSO9RuklQpF7CG1/Gdz8wXfWevZ3dyA4oTjS18NOBOklCLot81SYX1mWmvHHYS7Ji0op3HGufrxrWJMzNIGTiHNM8YGx/u+I0sZjHN+VOOeEfeiQz1cumt+Fnv/s2GFmkcqptYpV/vVWSRjJPM3yL8JTuo7fibJjNq6+uz1I+rtc0WUDlgVo9yepPP96odayS1Uj85HsXU2mdxZClrYmkZ7fN3cldeX7LGLKy0nNRI5kj9nt1bL+1xv51dWg5hYRzHM4lsHmEOjdUh068rjY+jKCmR+kT7ijKn6mXIaMEcb7Stddo2x1DWAcc6ZvK3+bKEegutP6ZZ3HKJY5q0Yz7pDGNDlbY5uS0r+tCfO/rqv5jaowtDdCli9XKEK6Wv1bh3acWZelhNzLnf/uZyNQomZFZM15jJdKJ3NaMN7/cX7huY9+aPJRd3osWe/VXaGL0OgJkZvPpnO779+xWWjMtmqcGsRSQrs4Z7mWiMbehwcADouW4TK9u0COo1m5s34Z3r+jNq4rwwSVUT2Gepo16p9Qsk9BhZJC2Thz4Xl6/gUU5uywoLrVWOiEa8358vV9ZKtIwjje9rwomr17HxvMA5wDW0z3zXtoYcLEqsZKWjwULrcSGmHlYTde633nX2R9aYhZWmW3xFafX9VuC1Q0lbaJFG7BBOxb5u/W9c8v58Ghws4aW7T+Ngct2Ai3/038no/Dnc/u0M7v/veZbLVlPYGf2OOqUOpND6H4e2+gkgZWDlTJl6cnJbVihydmYeKbo+9Bbf7A2lthJfVs7lE+dx4sy1vPqvU1lwRzzqIQHMK3SDH5tx+8WTePrxYWxqZ97CRyK1ZpeWQ+zRJnc353+8iBP+2MDqTunc+dpI9jeujxLzWUg1jlmZT35GCsu7RveMRBhylJkm6pTayI3Tu9jeeaw0y1oyuXJ7zYKnjc01XFwBBjm8qFroPhoj4lbS88+N/OupGUy5uAe3XXk8OzKO1JrWfza+0h950+yWTazoV/3P1O61/goocyy1OYxcZ6MloN67ibQaTRra/zmDfCevy87Mo2Ry5T4cZT7CgJ9Xc+3/fufJJ4exoouxZfW3u8voM2z99kbq7y6t9PpQPutI+H4c99shokjeV0zz/EK2tE3lcL3KGytO+Wk1Z325hGY7CnnghXPZ2MG6EGJuu6b0WLDJsv5sI0yrxcwQdUrtvYIsa/Ic0Llzequtv1unTJ5Tye3T/s+msuutrTfWrpU/6chmg5TJc45s+yO6pleCofPirdzz2DT2Na5P+rb9zO+XyXfndWVtx+ac/cUSzvpyCS/dfTorsjMoblB104WGLyvrfVx7Hlfm4qrxf/DGLQNMyWm3i+0Pq5MkiEguUAiUA2X+KnpEnVKnTJ5TaTzM2IwKRdfyaGnov3T9xgB9DmujFWUV7SbPIWUylcfffpRZf8OJ1ih59wWbuOuJ6fz7wcEs7tOWBoWHOe3Hldzy75/J2LqfRce35e7/XUB+RqOg+/algNrxNpv2UB4fx/z+7SqdNxqP++svUgiDpT5VKVUQqFHUKXXizAzSdOuCQadAY/1/yRUJ7g2O6bdo6lP26K/n7SXoFTcntyXpBseNiNRlp21yd3P34z/y1BPDyOnWCoCDyXX59sJufHthN+LKXbjizY8Tjayxr+cAaTsKyW+R7LePSLbOepwkCQ62E1fu4s4np/Pu2H4VCu1NMAodkgwuRXmYr1FTKIQyl+n3kiYiC3TPx3uy6VbuEqaLiALeNDhfQdQpdaA7tWZx02ckkjbT2CoaRtD9lJ7VT2vpI+g5g3odOTeo5Mj0mUdGvWXP1y1u0RMpC1oG/LKG0sR4fhyRHZb+zVjXwpR6pOz3v00zGqy0RhBj6kClbAFOUkptFZHmuHP8rfQUzKhCTdfSGgk8ChwLHK+UWuC7B2P2j+pXxf3Wo59yMuOqlQzcBpNaVlL+SuuNySNn0JEbRcUKtclzSJ+RaKis2usrKatHwfVTZFqbSlk7a5iSgduoq8q4oMNC3r+mX5WaV1obq5XJO9ECwP5G9UgOoNRRg7LW/VZKbfX83SEiU4DjAUOlDqevMwkY4nVsGXC+L2Ecap4uaicT+ZE1ndKZ3y/TVlkKU2JHqbUxtRVJEkSkgYgka/8Dg3HrkiHhzCb6u4hkeh1b4REs5H4DWTZfbra/CGo2eRXTYlA1JVKFFR57JFjmzpWVa3qThz6Yp8lSMCGTlMlzSJtJxfNwWmvv/hNKynmIuTxHHxZ834LEu+0J7GgcbFiXpKISnwG5aHK9wVJLnQ5M8ehNAvChUmqar8YRO6b2V0vL1w/f203UJ7QDTM8xV7zG4Efka2zsD+8xu/eUnKbkmnJDeBTcO49308+SITWOv7/qQSL+o/LeK8OsUDDvdQOu+Dh2Nk+m3boC1h3T3PDaZpJaRAIKodx8oMx/X0qtB/NpWSM21KiUGq+U6q2U6l2HunaLE5OIUtQ7VIa4Iqf60fThxzFiylK7xbAEZz+1SfxZsEDWw9cdXm95CiZk+rWYoVgJ79d4y2+00i3cQbPEX1tw4/1T+aK4A4dP215JDm+8i+JZ5QYbbej44azOvDH6A1rk9WZ7y6oLXLLGLKxYZxDJ7riyOFAWDFGn1MH82LMzj4yVc3JbVrjd3orq/ePwXhkWrui0Jkc4F6P4ugme+V0OTXce4OmfhpJYJ95QwfQpfMMhm/5mVpFlZmYG21o1ounOA1WUOloWnmioWFNqH7W0dgP/A5oBU0VksVLqzHDJoMefhdX/oFOovC0znGj9h/OHavQeWm7Zy5UT5nDPyxdQVifepwxGgUYrx9QaM1yfVfx/jpxL26TdrO3YvEq7NZN6RdGa+xjc0OGjlhbAlHBd0yEw8WXl3PnkdCZfdQKbM5vYLU4VGlBKUVJilZ1h0UjMWeqawmyUWB81zR9UUjEVZeR2av15TzkZ4WuqzFe76pSN8eWmBxMpv+S9+RQm12XquV38tiu7PZWE/+4xPOc9w1DdaPTw32+p+D/u53aUjZrFsUvzKvZo+9pRF8koBeUup0JHSJj9MftLAm+USUXLOupLUbW5bKOE9IHk0PovmJDpsxiBEb6uY/Yz6LRsG0O/zeHFe88wXDmmR6/Q3nnf9PirehkKroQ4PrqyD6PfmuvWDCqPuaMJu6LfUa/UDuaoX1TCnU9N59XbB7KnaQO7xfHLL4M7kbr7IN0XbLZblJBRuN1vMw+riXr3u7poGy/yJx1ZRaa3Ct7upXYue2Zg19vofE5uS6i4Vm6ldqEGn8y43+d/vIgV2RnMGdAhYH9GVlEfPAx3FNqVEMfkq05g9FtzWNy7TVRFvI8Qg4GymqQ6lS5LBm4jbaa7XKuGvqh5Nnl+XT9/Pzhf5/y5/6FMnxm11d8o6haXMvyrpdz52kifffhTVO897Pp2gTbYhMqsgVmMfmsuR6/eaRgJjwaUTWt6YkKpHfzTc/4m1h/djLzWje0WxTRxLheJJWWUJkTvCNGJfleD6kZfpw54meG4I7D6bKLa2nFfG0NCIZCsVs2N62U+fk4u87xSBGn42m9u1sXWzyRYSZuNeyiun+g3qWEkL0ZxR7+dAnmmCCZabKbCY+LMjEpTKnql847saj8io3S3VqHV8QqEv+vrXy8uRZ+5uUFvqzRbOyxcmyuKk+qQsq+Y06atIOnAYcM2karQGkqZe1hN1Cm1HjP1lQMxdcDLlZ6XDNxWUUROK/SmTano/w/XD8pfTWg9/q6fnZlXMV2Wub6Agw0S2d7KOFGg0TSZdxFBO8jPaMSbNw+g/7gc3hg9mTa5u6u0ifRpLrui31Gt1A6Bab+2gLXHRGeg6bdBHXlYTuS787pw/id/2S1OUCjMKbQzpQWmd0wZrXTyNXXkfcfXewB6F1xfUD0YK+Fv6ktv9QN5AN4bTfy9H20VXOarBeR2CK7QnHdZHDvd3MSZGUzf3YhXrv6Qvv+3jrknd6h0LpKxa0Nr1Cm1Hn9LFI2OG/0Ihv9+S6Wc4NmZeRUpghNnZpCj23bobyeT0dJNzYU1O+0V6Efqa8umvz4z1+/i65Hd/farYXY6raYDVHubJPHYuLN44vopXPpre1ScvRlaTKFAOctEHcJBu/W72NA++itrrzk2HRdC4z1FdotiGmdMHQJWRF5zclv6dKVLBm6rUvVSC57pK38Y7QtOG5tbcc5MNDsUuQORuusgCaXl7Gpmbllo2tjcSvvHfclvl9s7/8z2XD5xXkRlavGHE/0OA2bHvYkzMwyjzmsm9aqknOAeY2eNWVilb3/XCse0j5k++85az6I+bQNu3vBGP17XrqXffOL9XoPdmBIq428eQJuNu7nj6RnEl5WH/XrVwc613zGt1L4WjXiXq9WOacc1a1xRpkc3peXdt36Ky9cuqnBYajP0+7/1zDr16ErH9N6Epox6ZfUVI0iZPMcwRlAycBv5g0oqEjKGc5rpYHJdHnr+HJL3H+KBB78n8XBZ2K5VbRSgxNzDYmJaqWs7+xvXJ3lfbOTR1jhcrw5PPD2cogaJPHHn1z4XpkQCdrnfUR39DoZKVTcy86pMW+lL4HrvytJv0s/RpRkONLYMdqOJpWmBlSJ9235me+3K0svsvV9cv5PM16YTIxm1uEPOIPcOtHAnMyhPiOeFBwZz0wu/8q+nZ/DEU8MpOXV7hE1xiaXRbxGJBxYAW5VSI/y1jWpLXR23VhtDZ2f6Vk5//ZvZuG92dZiGVQqdUFLOmPF/UL+oxOeabw0j99ufzJoLrn//mmvu/X7D6YqrOOH1206hWX4hl7w3P8IU2oMy+TDHrcAKMw1rupZWE+ATIBPIBS5SShnnzHEwTVy5i/6/raPr4q2k7TxAhzU7WHtMcx584VxcUbzLKRBldeJ56slhjLttCvWLS3l3bL+wV+Y0jbJul5aItAaGA08BdwRqH073exLwCvCe7ti9wM9KqWdE5F7P83tCvYAZK1idVVH6FMNVrhlBluGCjxZx8q9rmDH0OBb1acPWNv1NJxXU52PzVf5HPwRZM6kX6RMSSSHw51oT1jM/oxG3vXkx9z46jf9e/ymv3TaQVdktwn5dU1g3Xn4RuBtIDtAOqOFaWsA5uNMGA7wLzKQaSm0GX9Fo/Q3BuzyPv7GlN5GwlPKk39by5i0DfNaV9oX3+LoA49TI3vGIksm6NMqEN2+5GfY3rs/9/z2XU2es4v5Hvmdv4yReeGAQm9oFtzzWekxbap/1qUVE83YXishAM53VdKAsXSmlDbS24y785VBN1mU145iV+UErddAoRY8Fm0lRW6mzopTkkiKav5RPktpLQ0pIvknYnpHCsu6tWNqtFdtaNQp6jhwgobScE39bR8ste6lTWk5Rg0SWdm/F6k7pvpeIivDr4E4s69aKW5/9mdfHfMjoz65iV/OG1XzT1cBluqW/+tQnAmeLyDCgHpAiIh8opS731Zlt0W+llBIRnw6KvwJ51cXb+mZn6qLausi40YYQb2sUCQGaDR3SOGrDrmr14Z2yyIie8zdx113TmNE/m7g/ciikDtsGprFqbEf2NqxPWrsDtNm4h66LtjBq4jwQWNqtFcu6tWJp91ZsbdO4Qskztuyl7+z19J67kbqHy8hvkcLyLhkUptRj2NfuWlo5XVtyuG4CqbuLuH3cT9QrLmXOye2ZfcrRLO+SgStOSN++ny6L88hespUuS7aSdLCEnK4teevGE9k5ch9lUmjPd6TNU1e3G6XuA+4D8FjqO/0pNNS8UueLSIZSapuIZAA7fDX0uB/jAVKkSVjXBXpHufULUrwTEepfEwnVF+scLuOsL5Yw4eaTg3qdP5fZaNoqJ7cl13/+G59f15svLutV8Zm5M8O4x7D5NCKnWyumnd0ZlCJj6z66LNlK58Vbufj9+SSUudjUrgmpu4pI3n+IeSe246uR3TmQXJfWm/ZybM42GhYe5o8BHfjuvK6Vgl4TbjqZNrm76f/7Oq793++03rQHwV3+dmm3lizr1oopF/dg81FNKqx53MVQeZFvzVJbcpR9A1wJPOP5+7XVFzCz08jb4nrPW+uPQ+UxtraDK4ttoFsXnT4jMegpKSt2O3VfuJndaQ2Y38//1JU3wV53qFrKSavX8I9HRwMmAoYibGvdmG2tGzN9eLZ73nz7fjK27KOoYSJrOlZ2pVd0acmM4cdVPDfyljZnNuGTzCZ8MroP9YpKKI+PozQxPiQXv0awWKmVUjNxx6H8UtO1tJ4BPhWRa4CNwEXhun5tYW9qEi3y9tOk4AC708I0flSKK96ay1cX9eBQUoi2T4T8jEbkZxhnYAmWkOWoSWIt8aCfWlqnh+uaYG4Bh5GVMuNKG1WjqHjd2CPHNAtcE1HhNcemM/XcLjx0/1Ruf/OioK2Wr40Yehd8+FdLabl1H/9++MyK92bkEVk5JImEoU118R0xCi+1ZpmoFXgr59QBL1dKWljxQ59Ztb2vrJ1W8N35Xbl84jzqF5VS3CA4C+YrZ/j+Uf1AKS7+YAGDPlrFw28Op6Rugt/62bGgiJahBGxKkuAodQwwcMYq/uyfGbRC+0UpbnrhV7JW7eCaM29B2lRN/OcQAMdS24d37i8zlAzcVmUe0p8rGk4XPPvvvIBrvIPlnLXzyNq9g3tePp/lO+qBLnClf285uS0rJZIId01vq6iRBTOOUttHoB+ir4i63vXWUzJwW6VdX+Gm3boCvry4Z7X60I+hj/qgPv+88TMuuOd61u5IrxLZ957LLyATCF9i/3BQI3PXjlI7hErTgoPsTLcu8n3ep4v5s1871rZyFvyFjEWLT0IhKpW6OgXxQsHIkge7kcHI3bMiWpx04DB1D5dxsGHdoF7n79o/jjiOh+6fyrjmX/LhmONxjY2rVPRg+O+3VF6go30+EzIrzQLUdpzot0kKJmQeWTBejR9QKNUlq0Mo7p4ZpR/402rm9W8X9JZDrV99PEG7WeYktqRgQkP+dd1M7vvpZ+4+5Soyc5+p9Dp9PxU3Wa/cZpGwhDYYLE99HKlKLSI3Ax9Eyr7nUJWwYEJmRR6t7My8qAjo+FLouHIX6dv2c9LMtZzzxRL+/eDgkPr3zk2uHw/vI4lHPxzCPY9P48kdb/N828E+N1N4BwQrlDzMGVCsxuqbkF2W2sztPR2YLyKfisgQkUhdkxfb1DlcxqCpy/nP9Z/y+ZA3GHfbFDLy9vHY0yNY0qtNWK7pSojjhQcGk75tP5dPnBuWa8Q0NiUeDGiplVIPishDwGDgKuAVEfkUeFsptc5yicJE2tjciIvMmh1Pt9i6j3G3T2FjuyZMvuoElnVtyeH6dap17ZzclmRNnlORIdWXVS2pm8Dj40bwwo2fkZ+R4l7HHQBnEQrBpiqyFFMDMaWUwr3/eTtQBqQCn4vIc2GULSKpqRzXGsn7inngoal8eXEPHn32bBaecFRQCm00Zgb85mbzZn/j+jzy7FmMfmsuPeZvMn3tWo+1OcpME1CpReRWEVkIPAfMBroopW4AegEXWC+SA0C9ohKuHP8H4y//gAV9M/n2/K62ypPXJpVxjw7hzienc9S6AltliRbEZe5hNWai302A85VSG/UHlVIuT6qVWkUoAbZQoqrnfLGEiyYv5O6Xz69WRpNAVUKDcZVzurVi/M0DePTeb/nX6yPDtyssVohU91sp9Yi3QuvOmUpZWtvRdmwFkzL3l8Gd+OnMTpwxbWXQ1yuYkGn6etpwwmy65d/OOIbvz+nCo/d8S/2iksAvqKWIMv+wmgjJpxr7+CrJ44ud6clMubgHnXKCz53tXf9LX1LIqG3a2NygLPZno3qxpmNz7nlsGnFlYfAfYwWn7I6DN/HlLsoiMW+3CK/dMZA4l+K6//1utzSRS6QGyhzso9//rWdFdvUXRARbKcQM5QnxjHt0KKf/uDKi61nZieN+O1SiScEBhn+1lM8v6xW4sU0UN0hkWdeWDPxptd2iRB7Kvui3o9QRyqh3/mT6sOPYkZFityh+mXRdfy6bNI+hXy+1L31mpOK43w4aKXuLOWnmWj6/rHp7pGuC3A5p3PXKhYyY8jc3P/8rCSWRXQy+RqlNSu1Z0LJMRHJE5DY7ZIhkOi/ZSk6XDAob1bdbFFNsa92YO18bScq+Yp657UtSdx20W6SIwKoxtYjUE5E/RWSJR2ce89e+xpVaRDrj3jR5PNANGCEiR9e0HJGOz/IyEUpxUiJPPz6M+X0zefG6T+iYs91ukWKJw8BpSqluQHdgiIj09dXYDkt9LDBPKVWklCoDfgPOt0GOiCU/I4X0bfvDeo2pA16ulPjAClSc8MnoPrx6+6k8fP93DJq63NL+ow6L3G/l5oDnaR3Pw+cr7VDqZcDJItJURJKAYUCVvYMicq2ILBCRBaXUrimTxnuK2dPE2vph3mj51cKh3H+e2I57Xj6fCz5eyPUvziS+rBaOsy2OfotIvIgsxl2qaoZSap6vtjWe+UQptUJEngWmAweBxUCVb70ma2lFGs3yC9mZbqoUcbXQJ070TldUXbYc1YQ7Xr+Iu56czlN3fMW4x4ayLzW8N6qIw/yv1mcp24qulCoHuotIY2CKiHRWSi0z6syWQJlS6m2lVC+l1ABgD+BMdOponl/IzubhV+pwU9SwLo8/PYJl3Vrx4nWfcvQqn/UQYw4hqEBZgVKqt+4x3le/Sqm9wK/AEF9tbMlRJiLNlVI7RKQt7vG0z0F/baRZfiGLe4cnm4k/9C650fFQUHHCB9f0Zf3RaTx+19dMuOlkfh3cqVpyRg0W+Zci0gwoVUrtFZH6wCDgWV/t7Uo8+IWINAVKgX967j4OHppv319jltrfeNoKN1zjj1OOZmubVB58cCodVu/kxxHZ7GmSxIGUepZdI6KwdgloBvCuiMTj9q4/VUp956uxLUqtlAqumHItIvFwGe3XFrAuq5ndoljOxvZNuf2Ni7jl37/w6D3fklRUwts3nMhPQ4+N3HK01cGiJaBKqb+BHmbbR12K4Fil7YZdDPp+OW027WF+v0wOJgeXxztUjKyxlRbamwMp9Xj6iWGA+z3f//D3pO4p4rNRvcN2Tbtw8n7bjK/9xjWVRO+fL/xKboc0lnZrxffndKmRa9rNpnZNeeKpETx+1zdsaZPKnAEd7BbJWhylrr203rib1pv38sB/zqMsMd5ucWqUrW1T+Xh0H4Z+s4ylPVpxIDlGxtiRnk3UIUwoRZ85G3j4/ql8fEWfWqfQGn/1aUP94lLeuWgS/7n+U9pu2GW3SJZg135qx1J70LvZelfcO61u0ChF31nr2diuKSf+vo7ec3NZ0rMN67KaccFHC0kuPMw71/VnzsntqyV/NFPQPJm7Xr2QuHIXZ/ywgsfv+oZ/vnNZjcUVwobjfscmcS7FQw9+D8DsAR347LJe9Ju1nu4LNzN9RDa/DuoYdB2sWMUVH8f0EdkcvWoHV7w9hzduG2i3SNUiHAkQzOAodZhxxcfx0eg+NCw8VPEjXdg301aZIp33xvbjjSsns/CEo5jfr53d4oSGM6aObX4/LYuefzqVLcxyIKUeTzw5nNue+Zk+f2ywW5yQkCAeVuModZhJKCnnvE8Xh33XVayxKrsFjz0zgtuf+YlWmyKi4Grw1KbMJ7WB1ht303THAa6c8AdNdx7gsWfOslukqGP1sS34emR3Lpq8IHDjCMSJfkcQ1Y2Ej3lzNqf9uApRip3pyTz55DCKGkZ5JNcmpp7bhbcufa/GtqNaihP9jg2aFBxgyLc5XPvBFexvHB05xiKZA8n1mDHsOM79bDETboqiLQPKvui3435bTOb6Xaw7ppmj0Bby1cjunD5tBcn7iu0WJTicMXVs4IrF3UY2s6tZQ+ac3IERU5baLUpQOBU6YoSd6cm0yAtv0sDayBeX9GDElL+pW1xqtyjmcSx15KBViTRb3lVPXuvGpOwrpmHhoTBIVnvZclQTlnfJYPD30ZOh1LHUMYKKE3Y2T6b59kK7RYk5Pr+sF+d/8ld0ZCdVuJMkmHlYjKPUFnPMiu2k7Ctmc9tUu0WJOVYd14JtLRsx4Jc1dosSkCATD1qKM6VlQKiJEeoeKuXOJ2fw+m0DKa3rfLTh4ItLe3LF23OjI3lhbVr7LSK3e2oCLRORj0QkJnbGd/1rC7ubJjF7oFNFKFz81asNGVv3RUW9LlHK1MNq7Kil1Qq4BeitlOoMxAOX1LQc4SDpYCm7mzawW4yYxpUQx+JebegV6RtkzEa+YyhQlgDUF5EEIAmomURgYWZf43qk7i6yW4yYZ8EJR9Hzz412ixGQWhP9VkptBZ4HNgHbgH1Kqene7aKxlta6rGYcvXoHcWU2rQ+sJSw6vi09FmyO+M/ZylpawWCH+50KnAO0A1oCDUTkcu92SqnxWhmSOkTHZogOa3ZSlhBPXBjGSQ5H2NWsIQXNGnDMyny7RfGPRe63iLQRkV9FZLknFnWrv/Z2hGjPADYopXYCiMiXQH/gAxtksYzMdQXc9cR0nnxyGGV1oj+BYCgLb6DmUiovPOEojv9jAys7Z9TI9YLGWte6DPiXUmqRiCQDC0VkhlLKcCWOHWPqTUBfEUkSEQFOB1bYIIdlJB4u4+7Hf+TtG04kp1sru8WpFfx85rGcMW1lZC9EschSK6W2KaUWef4vxK0vPn9odoyp5wGfA4uApR4ZfFb5iwaufn0WGzqk8cuZUTB3GiNszmzC1jaNOf3HlXaLYkiQi0/StPiR53Gtz35FMnGX4Imc+tQASqlHgEfsuLbVHD97A33mbOTmty8JuR6UGVe3ptzaULBLtonXn8iDD02lU852Vma3YGm3Vmxr3dgWWYwQl2n/u0ApFbDukIg0BL4AblNK+dw15CwTrQZJBw5z8/O/8PyDg5zMJjaw5th0bplwCXmtG9Pnj1xev3Ky3SIdweJ5ahGpg1uhJyulvvTX1lnLWA0umryA+f0yWdEltKCSQ/XZl5rE55f1InlfMRNGvW+3OJWwarrKE3t6G1ihlPpPoPaOUodI/aIShn6zjBsnjQrYNtRIcjB9+MqrVlsQBa64CEtQYV30+0TgCmCpiCz2HLtfKfW9UWNHqUOkbe5utrVqzK5mDe0WxQFotLeYogaJdotRCaumtJRSswgiRbij1CGyoPAoGuw8TM6GjIABspqwojVtnSMtcNcpZzurjm1htxhHUIBNi5CcQFmIbGrehIRyF60L9totioNSDP96KbMHRlZ961qzTDRWOHnZGuqVlHAo0TpnJ2vMQsv6qk2c/qN7EcqckyJHqZ0kCUEQjJsZjIsYTL+td+7h/Tfe5h+3XUlBo+ASzPtzxddM6hVUX3YQaW532w27uOa1Wdz34vmoSAqUKWWb+x11Sm03zffs590X3uGVs0/lz05RWpExRogvK+e2Z39m8lUnsLF9U7vFqUI4rLAZHKUOgha79/HRMxP4dEBvJp55kt3i1HpGvzWXfY3rM/XcLnaLYoyj1NYQLvewVcEePnzmLT447QQmDBsQ1Gtjad44XMOfYEnbUciFHy1i1JRrQl6eG24cSx3BNCg+zORn32LS4P68M/hEu8WJeCoCfjPDty2y26ItALTN3cXeSCwTrIByZ0wdsdz/yff82bGdo9ARQreFm/nHq7MY98gQlnZvbbc4PnEstUkCLeQwW27WXx96Tlq2hoFLVjH0Sb/JJhx0VETxc82/xsx31aDwMJe8P59TflrNuMeG8HfPNj7bBvs7CAtO9DvyGLB0Nf9581NuueES9jdwqljayanTV3LNa7OY178dt064mD1RkLXVsdQRyP0ff09a4UFyW6TZLUqt5qzPl3DOF4t5+LlzWH9MM7vFMUeY0v+awVFqP5z12E3c8N1v/PeNT7j0vrG44pwFeOHCl7scX1bOxZMXcO+L5/Gj6hyUS28nAohNgTLnV+qH0oQEXjn7VADG/vB/QS3jdJZ8WsPQb5ax7ug0thzVxG5RgqbWVOiINlxxcdxx3UVcNf0PTlZb7Ban1tFt4RZmDD3ObjGCx8YKHTHtflu16GNrWirX3D6aDx8Zz0eHh1JcN/C+XV/ruLPGLIyKNd52ov/etkgqezclReECHvvWftuRzL+jiCzWPfaLyG01LYc3WWMWGrrMDYsP8eZL7zPl8deRpLhq31gdhTbP0PlLGfj3avKaNrJblJCoNbu0lFKrgO4AIhIPbAWm+HtNIw4Tp1y4JHz3ICNla7lrL+Nfep/F7dvQ98V7iVOKQyastEP1ydi1l6cmfcW1t17BgmMy7RYnNGrpPPXpwDqllN9qZykcZjwz+Fwdw5yiphQnhVex6paUctHvC7hg9iLmH5PJY6NGROz64ljl9MUr+KV7pyhW6Nob/b4E+MjohL5A3noSeYNu9GUbk0a+w3Uv/Ub9opKwCFS3pJRHJn/H5b/MY1rvznw5o7mj0DbQf/l6/jg2cpIehEQtK2WLiCQCZwOfGZ2vXCCvHgukBY9Kf657/woa7S3mny/8arlMWVvymfbgS6QUFTPqnmt4Y/gpLH33BMuv4+Cf5KJDnLR8Lb9262i3KNWiNk5pDQUWKaWCKl24t0kSr95xKif8sYEGxdaVuO2xdhMfPvcWL59zGjf987KgM5o4WMeIeX8z+7gO7EmO/KWgftGynwR6WIydSn0pPlzvQBxMrsvmo5rQNdeaeeOMXXuZ8OJ73HXNBUw5saclfTqEhrhcjP5pDp8M6GO3KNVDAS6TjwCIyEQR2SEiy8xc2pZAmYg0AAYB14Xax6yBRzPql3kUPLu34lio00XD5i/lpx7HMrObU+DObgb+vZqy+Dhmdj3Gsj6N5rjDvXNLsNS1ngS8ArxnprEtllopdVAp1VQptS/UPn44qzMdt+Rzi1pEX5VHM1UUsiuzLLMVA/9eTfM9PmuOOdQQl/42n48HHh8bwUmXy9wjAEqp34HdZi9rd/Q7ZIobJHLZPf9gy/A2nM06XuVnxr/8QUjj7Hmd2jOvUzsG/r0qDJI6mKHn2o2899zbtN2xiyn9u9stTvUJzv02XcrWDHbPUwdNJVeqMTx70RC4aAh1ysp48Y1PePj6D3lLuhq64voVY9p5bdlmauFBdkd7YCZKuW7qb1z50xxePuc0vjipJ6UJ4f9Z+lp2aqVbHoT7baqUrVmi1lJraIpampDACxcMZkDq9koKq2fNpF5VlH3NpF70vXIWXXO3MvfY9jUjtEMFzfYWcuN3Mzn34Rv5eODxNaLQNYZN0e8Y+gRhW5NGpB4oCvp1Z7OOb/p240D9emGQysEfl/8yl+9O6MqO1BS7RbGYWrShw2r0ljfe5UKVqgoLrT9n5Hqn797H2XMWM5QNvBlk2l+H6lO3pJTLfv2TiRGU0NGy3WBaNlEzjwCIyEfAHKCjiGwRkWv8tY8JS60pbIJykRCvWPtWj4rjRoq9ZlIvHpr8HRfMXsTKNi34xwNj2JqWWvOC13LOnruEnKNasq5lc7tFCQtWTWkppS4Npn1MKLVGmcSRn5pCu/xdrM/wncsqO3crQxYs4+Tn76YwyXG5bUEprv5xNk9fMtRuScJHLd2lZQl6a/zXa6vpvm4z8fdtYs2kXoau+DXTZjGj53GVFNqonUP46L98HfEuF//XOctuUSqRnZmH3y2DZlGAy1FqUxhFtPXMPq4Dgxct58tJl1c5nzVmIXHKxSmdV7NgWQpZPx9xzyNBmY3G/bHK1dNnM/HME2NjkYkhTtVL0+itL1RV8uXKxT2s5Z5PpyFK0WLPPuqUlZOxex+FnevRYdtOVia0YPz4syMu4cGaSb3IHX0vAJnvPWOzNOGj3faddF+3mX/+8zK7RQkvjlJbQ7HU4W41gM4J5RxKrMOq1uk0OHSYA/XqcaB+XbampbKibfhqPDn4R1wunpk4hfHDBnA4sY7d4oQPBZSb2K0RBqJOqY3yiHm72LnSiBnnR6f7qlno3NH3xqS1blp4kOM25nHpvf+wW5Qwo0A5Sh003uNO/RSW9n91x6l2Zf+MRYXWqFNeHlGFEcK2Y8txvx1iHXG5GDdxCu+e0c9uUcKPE/0ODW8ravR/da1srEeha4pmewu584vpNDlwkBsvjPEAmYZjqYPHn/vtEBm03LWX66b+xjlzlzClf3fG/OuqiNi0USPlbR2ldogV6paUcu+n08jYvY8TVq7n44HHc8a422tX3jeloLzclktHnVL7Wsvtfc67ja/zWhvHwluEUjz84XccvXUHHw08nnuuPp99DZPslsoeHEttjmCrSfpSdF9jcYfQaXzgIC+98QmNDhZzxV3XOOvqa9PWSxFpLCKfi8hKEVkhIqbDoYGU0VdNrNq0BNMu3n9uIutbNOPi+66NeIXOyW0Z5qJ7yh39NvOwGLss9UvANKXUhZ6k/rXUP4sN6paU8r/XPyYrbwcXPnh9bK8UM4sCVVsWn4hII2AAMAZAKVUCmK6h4891DmShffXhUD0aHSxm8KLl3HvVeVGn0GG11rVomWg7YCfwjoh0AxYCtyqlDuobeTIqXgtQT2fI/Smjt4Ib5SQL1IdD8OxITeHOf1zInZ9PZ/4xmTGb9CAolDKV/jcc2DGmTgB6Aq8rpXoAB4F7vRtVrqVVt6ZldAiSz0/uxcQzT+S2r36uOFa3pNRGiSKAWpR4cAuwRSk1z/P8cwyUuro41rjm+eKkntzw3Uz+99pHlMbHcf4fi3nuwsG8dtapll5Hv3AkvMGu6qFqi6VWSm0HNouIVtLwdGB5qP0FO8UVrj4cYFdKQ8595EZ+6daRvzq05ZJ7x3LV9D9IOVhst2g2YNJKx4ilBrgZmOyJfK8HrrJJDgeL2Ziexsb0tIrnK9q0oO/K9UzvlW2jVDZQ2zZ0KKUWA5ZUJLBilZjjqoePnY2TSS4+ZElfRuu1I9UVV4Bylolag78Egk5ywZpnf1J9UoqsUeqoQlmbJEFEhuBe3xEPvKWU8rnhPuaU2h+OMtc8Oxs1pP22nZb0pVlizTrn5Las9H+koSxyv0UkHngVd/nnLcB8EflGKWUYi4qc9BMOMUmHbTtZ3SrdbjHsQbnMPQJzPLBWKbXes1jrY+AcX41F2bToPBhEZCdYk47ZYtKAAruFCCOx/v7A+D0epZTyXQ3CBCIyzdO3GeoB+jHKeKXUeF1fFwJDlFL/8Dy/AjhBKXWTUWdR4X5X9wMOFyKywMoSpJFGrL8/CN97VEoNsbpPszjut4ND5LMVaKN73tpzzBBHqR0cIp/5QJaItPOs7bgE+MZX46hwvyOY8YGbRDWx/v4gCt6jUqpMRG4CfsQ9pTVRKZXjq31UBMocHBzM47jfDg4xhqPUDg4xhqPUJhGRiSKyQ0SW6Y7925Nn7W8RmSIijW0UsVoYvT/duX+JiBIRs/OuEYmv9ygiN3u+xxwRec4u+azCUWrzTAK85x5nAJ2VUl2B1cB9NS2UhUyi6vtDRNoAg4FNNS1QGJiE13sUkVNxr87qppTKBp63QS5LcZTaJEqp34HdXsemK6XKPE/n4p4/jEqM3p+H/wJ34954FNX4eI83AM8opQ572uyoccEsxlFq67ga+MFuIaxERM4BtiqlltgtSxg5BjhZROaJyG8i0sdugaqLM09tASLyAFAGTLZbFqsQkSTgftyudyyTADQB+gJ9gE9FpL2K4rlex1JXExEZA4wARkXzD8GADrgzvy4RkVzcQ4tFItLCVqmsZwvwpXLzJ+DC/EaMiMSx1NXAs3H9buAUpVSR3fJYiVJqKVCR69ej2L2VUrG2a+sr4FTgVxE5BkgkynemOZbaJCLyETAH6CgiW0TkGuAVIBmYISKLReQNW4WsBj7eX0zh4z1OBNp7prk+Bq6Mdo/LWSbq4BBjOJbawSHGcJTawSHGcJTawSHGcJTawSHGcJTawSHGcJTawSHGcJTawSHGcJQ6BhGRPp493vVEpIFnn3Bnu+VyqBmcxScxiog8iTtJfH3c9cDH2SySQw3hKHWM4kklOx935Yf+Sil7SjA61DiO+x27NAUa4l6bXs9mWRxqEMdSxygi8g3uDQrtgAxfdZccYg9n62UMIiKjgVKl1IeeMqh/iMhpSqlf7JbNIfw4ltrBIcZwxtQODjGGo9QODjGGo9QODjGGo9QODjGGo9QODjGGo9QODjGGo9QODjHG/wNtk4wqXfB1ZgAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6068,7 +6066,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6080,7 +6078,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6092,7 +6090,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6104,7 +6102,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6116,7 +6114,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6128,7 +6126,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6140,7 +6138,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6152,7 +6150,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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W8F7/k1jfsyBsfcckha9VDsPZR2n0m9+uKIR65Zx4iUg34BngJHyGwM1KqWKzsgkh1GaaNa0onwfyl5hqW72n9YHCJS0m5GvJF8zqjUctrg/W0X8OmsShm31WN66cixnJEIJTDAH8qe//8PLyMXBRKWk1jaTRSCpNpNFId45x0t7d/OHLD/g/TmPplGsD55lp76rJhWz+pJxemc3prLX0x9nj/M/r5AJLzQzBfhKjFtbM8tzpJUFBKka0/+nUrEoWRZYd2ZIoOMoeB5YppSb519TqbFUwLtan1qcInrIpsne6lUBqn2cXXxkk2G3pV+nriCeh1zAmY9SjT+AIBE3i0FM1uZBfvDCX7tTwW85gz5TzLK9XMb6Ohxf8g7LDfVm5OimoDo1QaYD1aMfM8rbp783smMabQ5fxfHUu04YWtzll78CTu6gH/36SrbI3Dl0V8noi0hVYCwxSNgQ27h1lHrHH05zMKexlLm+HLZvW0EB9kjtBGtEmAkdZrois1m23GqoaCOwF/iYin4nIM/5leExJCPPbCqOW1n/XPj9QuCRwXNvfWm1tpw4zDW7HpI904oHd+Hg9mrlaNbkwKCIre2Fx4Jg+mb72XT+3Gnx95Z+r8/h1WjE/L36Fl08YS1mX7hxL8SWQ1A8nnbyvlPXT+lI1JNhRplkAdQtbZhg1M8fNhqisEiYY/zdTsyqDPk+z+oEiQCkiGdKqDGMZpACnAz9USq0SkceB+4BfWRVOWIz/PDvC6sSwRqR12DHV7QqnlhyxNRMVNNN124T5XNxnJMVlTwFQyIwgIWNyQeB7JYUwuSBQR+70Eiop5BPg8oYJ/OvlX3LV1o/5N/15VM70FZre/CKoVw0MevYInOY7ZGbO66kbV07FAnsRfoGxb8O4t/6lqxdogOerc4HNtBWfo8wxC2QXsEsptcr/fTE+oTYloYU6FtELvFGYneiLW62PZcabQ5cFDelsmzA/8Hl52bqApi6e8xSFNGttPcYkfpVPFwSVuYHLeIx3+Uq3tpt+DLthxaccn7udbi98QJMkBSwBrY7shcUsL1sHwMV9Rtq6LwifJbT5d27+fxgFvK045ShTSu0WkZ0iMkwptQm4CPjSqrzXp/aIKsdzkEaSeIPBpsfvPf8mMg/X8hAf8IT6Nz/59Uoy6+I/kYLCXoKECJIk/BBYKCKfA6cCv7YqGM1somYL5M0BrsC3ys1W4Cal1MFotSHWMdPMTg2ZafW8MMx87jP4Ai+C8nwNbd7/5tBlFM/xmd+DVtxMnuHcZu1JwPzWtGPdwuZyJ1HJZ/QMWjQPfNpfsxIePnopl83cylc9+vOr5Qu55JfvUVQ0LFBn4UyfVq9Y4Ose6M1qfUSY3uowammjqW7+OzsbMejkkJZSai2ESHSvI5rm9wLgCeA53b6VwP1KqQYR+S1wP/CzKLYh5jH2v50S8tnFVwIwoijyXOeaoGhCsm3CfApX+sxvLdHgxQtHBr5rwn9xn5FUUhiYjpmkmriCrTxFsNmcVpTP89WlQff22pO+hIafPXAcmUtT2DCkeVy5hcPLIjZcL+D69pth9Xv69pvGdESEL+93gsV+K6XeB/Yb9q1QSmlzAT4C+kXr+h7uk4wih1o+x96SrgBfD89jzO6vSW2wmjISL/hW6LCzOY2bjrKbgVesDlotkJfoWGnmcB51fXmrJYbMMPMgD1pxc1jPsubo0rS0ts+YXXSFOo5vsZ1XGdY8NEWJ5XDjkS7pjNm9hUlVa/j89P5h70WvjY2OP6PFYbxWNPGlCO5ASRJE5BdAA771tExRSs0D5oEvoqydmhYzmAmxVdSb8SG1M5ylTXjRhFdvuuq94OAT8iF+b3RaUT51C5u94BcvHBnoX+sFWmM3mWT5FwrWhszMcolp91R7NIVNJ+Tx+en9bd+LhuYLMKIXdjOB1p8zNWsZToiiUuKa+e3GUrbT8DnQLrIT8uYR35xEJcspsF3+5LW7+OicgdFrUDvSIRIPishE4F7gfKXU0fa8diJgZYIbTUo7JuZmwwoWehN1Q0kftk2YH5h6uW3CfLSkrIUzfY4wvYmtHz/Wj1EnqyZOopKHOcu0DWZRb/tyu3DKZ6VMvXU39E8N0r5OTZO8Nn+15Zi07xpOBJ8kYDojiwXy7gfSgZXiG+L4SCnlLZLnAKGCWswYUVBm3Qel2eutoQ9EuXjhyBZBKHo0gT/thX9S3jWX3VeM9V+zJKhcICc7ZQEhu/a2C7nt8fd5//5G5sy6uEUbQ2Fmets5ZiznTE/YvcwnCT9LS2Pug5O4Y9ZiJ5sVN0TqGNIEIEhT+ymcOSMoab4xgkzP5WorJ7CfOTKmxcyrkAka8t6i/pTtTHv1Jqq6ZQQd059nV1AjJTl/c5tnaeWPyFE3v3SBrbK/Hvl6m6+nxwsT9YgKnVU932Uzf8Z+aGeA5Ueo6poRlGEl3nA49jsi4vdXs4kWhPFAAmhpzUT1TTqwT6QBLNqQlqaN9f1abfbWm3P8WnIOQYEomta+g7WspRcfS7M2DkopVBTcLn38+K7/V8f+/t2o7ZTaom1pRflR09BO4yXzd4iAEPunVCYSkQqzhvYymJrVUhjM+qva9ESrIbTiOU8FnGPLy9YFhYxqZnby+5sZvWMTr068ko09fMNTgT77dN9LotnBVk5uke9TSl0j/Xcd4K7t51E3rpzlZetatNHMDxBr+KZeuuMo8yZ0eESFWedOZgEjePT9Z8k5Vm37vMaUJMhKIsMyCXH84K162Uq0dERm+6FZY1uVC3csEbDS8OHMcbM5x89X5zI1qzKgnfX4tKpv6mRjUjLLZCCD8lO5avMqblu2JajsFV9PZHmZfjKGz0zf+9eBrDhnOBPfKuEFTgSCI8P03vBY1dKgzdLyzG9HsBJO/X69ENsR6LkPTgKIS++5MQtLW0Mkw805fnPossDc66rJhezP+jv5leUtypidB8AcmF5UyDMfLWTqc9Vc3OfMFi+QWBZmDV+YaIJN6PDwABi+YTffDOoRvqCO3X26on7ZA/ndvii1qj3waWo7m9PEvaaOxKTWNG4eQKH1+fqF96ZsKm1OCh9jWGlNzUT2YZ7SSdPg0ZjcoP1e1x76hLPf+obCeQpshnQUzpxB7vQS/rzjRAqPbA3S0vGgofUkXERZtLDb/81bmQaFwaazZj5r+4z1ahhnKMXbWlp20vJowq03zZ1K57Pt2OPIY/uhqgn1hzzomkzhzBlBM7qMBDzhk+HNXa8hz1egFke+Dnas4Kb3O+EiyowCq2kN/QJsxr6xMW5aqyN7YXFQjPSGkj7t5lCbmlUZ5OAyOquM++zQ2iGxcATaUa98JvNbh1G/7cXEa8/i0BTfovKhBFq/mF3xQ3ORMSWoZ/LhzAzLcyLBeN/hfjcnIspyT8hVlz17la2yz50534so84gxNtUiTx2EFUfg1HTUkn6Qm4KSVmiqz2phQKpjAu0WWo4yN4g7oTaL4X5hmM9M0/d/h0xbQ9XkwoBmnbtyUlAdWrkHCpe0CK7Q6p893meS6/N4aVpdi4CKlkdc6xdHS7s6RZ//HETuLUXN6AbL+kP/5igwX3/Y1ycunNmcZljrJ+s1tMbDc87hvB5rOZ+mNrXr4j4jTYfd2gsFNHhDWvYwM52nbGo5JXHKplLmPtj8vWJ8XcAEz15YTLY/PcPsBVe2GO7SzO0HCpfwwrC+gSipivF1URdmK8yE222BL1hayRmPlKDm58MZ5prVLM2wJuhmJrn8bh/saUD5Ux22VjitznE6DXAovHFqj5gi/UA9mWW1HBqUQWNGsOd64NJKhj9fTmZZHSsWnMAVo2scu64anoa8lwBT7aMULWaHuBNqvZca/A6wWT5NPffBSUETN/TaNG9lWrP3m0kBLfF8dbDjLW9lGtfOal48b0RRWWD95daufNFa3NLEeR8fYuxPNnOseypZu46x6/wcNk7pzb6TMjnhud0Mf343H/56MHtP60J9lxTAXKj1q3zoMXrCA98bFPJIJephe4kK3TaxQ+F0kgQRKQGqgUagIZRjLe6EOm9lWlB/mMJmQTfmptb3v++YtTjIy60JjNkQmVZuyLQ11EFgmZc7ZpVCiJWU9S+ceA07zf/gIOf9dDP/+cMQys/pRmpVA4P/sZezf7GVrJ21lJ7blWUvjuBw/04R123lAQ/s31IHKQLjuwQd12dW0QtxOIF2u3sSBU19gVIqbP8h7oTarC8bEKCWSyAHEUhwv7AcZvn2aQkAtIQAD8xa3DykRbl/CM0nyEYrQS+4+hdGOIHWO/Ziia5bjjL27s28+8Qw9ozJBqA+O4WNN+az8cZ8pFGhku0/qHqhM2pVUy1b2gD9gqdbGs9pq3YODsyJHr6835757eEi0qg4754tfHr3gIBAG4lEoFtFk0qYJ1IhNDTZdpTlioje2zvPn003uEpYISIK+IvJ8QBx9xOGS0sUZALrtK7+HL2GfL46l0Xlo0OGm+rRe9AXFY0OWj0iMHzmb6NZlNq1+at1qX0Wx8wMsYK3KmlMFzZf2ysq9dvSrjnJcKCx7fUYCKWZo6m5I+hTh1vKFuBcpVSpiPTCl+Nvo3/BjBa091pa1wD/C5wAnKGUinjxonBx2JrQ3eEX6HBDT3MfnETu9JIg4Q840WblMjVrXcA0D75+IRUldUHCqqFd0zhUBjD36eCItwcKl7ia2GHug5NIb6jjH589xGc/6d9izSutjNNDeMvL1gUlWgD8Qt228Wk9dqLwomaKK2fNb6VUqf/vHhF5HTgDMBXqaA6kLQCMaTXWA9+xaoxH+3NqxVYWLfktlSd3Yde4HHcbk5MMB0Nr6nhB61M7kSRBRDJFJEv7DEzAJ0vm5aMZ+y0iBcBSTVPr9hcB99jV1MbY79ZoNs05pdURCn39xre9Ex5uzSrQAmICEWxRNsWN9SfVNXH5SWv5HWN4Z8rVltr4hWF9bTv1ItF8LTR1o0KO24Lafjy0sv8eLi7eTty8E7Hf2cPy1JinJtsq+86Ffwx5PREZBLzu/5oCvKiUesSqfMz2qUOtpWX14BvNxNnFVzZP5JisN52DH1Cj4GrnTJ1g/Y+PRPiMwmQcktOE/AFD250WcH19cx+cxD23LqRTjyaGFzcynMWWXvmqyYWB6Dy73Ro76BeTX162zifIfVNgQy2c0jxkphd+q6V1wF7/2Ji8MVrmt0JotO8oC12XUtvAflrWmE2SoJSap5QarZQanUq6281JTBSk1DT6vM4xgrq+K7LgkNvNcIQmxNbmNHFnfm9eMMq2BgvS1FjHa899cFLQAuv65PX679EOZmjXBQeU4sLbN7Fyzyj+cuolgPXvo0/hG659+kko4bSgaVDJvkZk7HbUP/vDcalB5fTOtaBzdLRGAxunuDphfncZ2ludOvdGW2U/GD+nY0+9jMQk1cxbCA4O0Zu2U7MqmWqIdNJ7u/VrSjltDmvtiGYONCszfsiiPXTeXUfqomruSFtsmjhCvy8abdOb30H964JUKGsICLWGZqZrQmhmbrfGnI6aCZ5owScWa2ntB/4P6Am8JSJrlVIXR6sNekKt76yfAphHc5/XuKSr02jCFk3tbCbQWSU1jPh9GT/703fZua870JxoX4++XfoXTyjHmV7r2R0DXtn0auDzVfJt/tFlK4xs2eVKK8rn+erSdp1p1XoScEKHUup6i0OvW+z3aAekvonz7tnCwpvOZGdBd7eb04JM6qGLQOeYdffYxi1NHfe/nDHiywq9+a3POaafvK+xbcL8gNldOHNG4LsZLwzrywvD+pqar3rmPjiJuQ9Ost3eUHUYiaTOU+aWUts1hbe+fXLYa1mh19Lhrv18dW5YX0TT7qGBbeKX+yFV4OPmmV9TNpUyZVNpyCVoncIpv4lS0Ngktjanibs+tRG7/Vy9+W00xX0OmObv2mT+PKxnFml91eYH3J4Jre9DBw1t2cDKTLd7/ucr+3LlS+v44TPXBSLHrLolZqa39ll/bMi0NbAp/LWt8q0ZmZKzD3V3d+TRfajX+oJIYKgtVqdZWuFWNtG419Qe9kg53Mg9j6zgyZ+M40CPTLebE5pJ2bCnAd6P32QJCp/5bWdzmrjX1K0lsGjcnKd83u0Fvv3bJsyncGbzHE79kNbUrMqAU00/WQTMtajZ8dnFV4JBQ7fV+20nUGXEX8v4akQ+xWMHh61Pn8JJQ29V6B1lvnL22m3bdE4R1MwePm09tnO7auipWZVMc6SmBHSUtSdtmRBxcZ+RbCubbzppQxNmswR54JupFSp80q65bIyCMysTCrOy2osid3oJ6TX1fPuFz3hybvMi6EazW29WGwXaeB/6e7a70EHEfeErusCj++DzWhgZeUKGWMCt7NsJIdQeoTn9kx1sO74nZf26ud0U+zQCtQrS3NF2TpBw49TtSaQaWq81qiYXktT7VbZNGAoEB54MWnEzeSvTgpxlgYimWZGZnnbb6lSAi6ZdF5WP5oziEladPdC0nJnp72R8t0bE85Y310GmwAnWIcIxnaNM4Vjsd6TEnaMskuEbO2WL5zxF0+6hge/6oSt9iCn4zHBtkfW5D05qMRRmh6lZlYHNqs122h1qyEk/fCdNijEflfBJYUFE7bRrVrfmJWRnmIsuSbCvERZVQZX5dMxYFWgNpextThPXmjqcg8jOA5fU++sgoS6cOYNtWhw4Nwf2ge9B1z7fMWsxc5lEpJo6HG0d3gJff1l7MVzesI4jmWns7tvVdj1zH5wUtIhgW9DPiopoDHhAKurhnqy6M4mz8rajXukLw4K1dixravCCTzyixKAtlWwZGp0URVHnO9nMknNQN3VD/nLQ7dZEhMLecJY3pEWwJgul1cy0uBbEMLUs2PQ1erf1/Wq9Cb5twnwKV/rKhosg05vX+vqNk0f0fdeI8q+FmAiiz3+e9VYNJYMjWx9aq8+JrKf6WVNGTW1nRtXysnWwNxsu3AH/OgyXdAk+FsO4NaE1rle9bG0iAbOHSBNk3zh181Ixg1bc7Iua8qMN92QvLKZqcmGgX2188PVCbxWV1h55qU++YRdvXHMqq88qCNpvFklmHE6zEupInGhmv7XZOmFhnWhrj3Hkkt1klh4HSdE1a52YetlpcF814LfmQ6FGNl8zy9Gpl575neAM3LaPbwbF9iJ7tji1ky/scm/85DDzzO9W0NrhH/3wijZshYm3t3DmDBhfFxSMoXmFi+eso3BmYZAJqNfwejPbmHjBCRaVjw45nRSg0946Uuob2dfTFxYarrz2exrj2o0WUSRDXaFMbGNqoXBkX5MOc/ahftcr6traCdwyghNaU1v1e40PWPGcp0xnYlWMr2PbhPkUz3kqYELnrUwjb2Vai364VdQZtJyXHbEn2IRwAgow4O39fDpmgGna31Do++vad/1Qm/F3tTsMpyci09uPeqgnfF2H3FUB9bHdbfRiv6OEcaaR9l2vOY3L7mybMN8yTFS/HG7xnKconDkjSDvrM3LoaY+E/fqxaY0Hl77BsRtTg14Aeuea0fGm70MbtXHAYVhoMoNLZ+VYJVBwxH/QNRn1cl9kejlySznqL70hI0b1kgK8IS0Pp6nqlkH6wQa3m+EsnZNQC/pAlyTk+lLLwJRYwAs+iTJ67aLPOwY+LbRN1wfWm8vGZVe1gBSw9mprRDo5w1GNrhR55VVU5GQF7bZa3heah4gGrbjZctJJqDbOLr7SP9st/BBYm5IdpArqiTzk3j3IXRWov+Vzcd9TY2yIS1AOJkAQkWRgNVCqlLo8VNm4Fuq2CEFQP3eCeZlBK25usTyuht7stiLStjkl0Cl1jUz520dkHK1j54WhUxbpXzzaPW0LcU9zV6YxdUJlcF433VJHQWWjmR01SVC/7oVcthP+uD/GBNqPs1r4R8BXgPnqhTraey2t7sArQAFQAlyrlDoQrTZ0FKRRce47mzllbSm5ew8zePMetgztxS//8G0mpHzpdvOiR5qg/pqPfHcXHFWo+3u0emUPx1HOhYmKSD/gMuAR4O5w5aOpqRcATwDP6fbdB/xbKfWoiNzn//6z1l7AjmZrSwKCbRPmt9DiAQ1vod3dYMTTZZyzZAsrLzmRT8f0p7T/2baTCuqHsbZZ5D7Xx1hXjK8LsmBC/a7tksN8QCpq2QDktnLkkp2o3/SEURnRv64dnNPUjwH3AllhygHRzSb6vj+Zv56r8KUNBngWKKINQm0HswdL32ecmlXZPFbtxyqxvxl2zPBoU7B8H588UEDGmHoGcIABHKCQbWHPM/avNX+B8Z713uxtE+ZzcZ+RbF4wCgjOBqMfAQiF48kDeySjXu0Lr1Uj03f7vj+R12ICSPtjW1Nbrk8tIpq1u0ZExtmprL371HlKqXL/591g2WX1iIB9J2TS4/PDVFgsFu8YSsF7RxmvSjhveQ1dj9Qg7+/hfz94kay6o8iVOzm3zwF2n5FNxRnZVA/oFPEYOQB1Ct46DN/UIbUKlZUEZ3eGU9Otg05EYFI26qwM5KcVJI3bQdOaAuiTal6+PbC/Km+o9anPAa4UkUuBTkC2iLyglJpiVZlrjjKllBIRSwMl1AJ5bcVotj9QuITZ+BxGes+4UWMZPeHgrobWODC8M902ty1J3x2zFltq0MD+oqNUTzvI4LPzaFhTRVVaBmpUKiu/NYiDXTI4+7xqKtankf9RFac9vhMlQsUZ2ewe4xPyq0453Czk39TB8iPIv4/AMQX9U1BjMiAnGXnWv5bWmZ1QnZKQPY3wo91wVMElmahLu8CZGb4B2Z0NUFyDfFQDxTW+Ia6zMmianctlo06nQZLccaI5NE6tlLofuB/Ar6nvCSXQ0P5CXSEi+UqpchHJB/ZYFfSbH/PAN6EjWg0yLk/7fHVuQOg1M13rl2cvLIY5BI61NfQznBlqx5RNqm3ihOd38/HPCyK6tpbkweyBN7u3QStu5v/mvsRl99Zy9Z2HGbTiWgAWTctmedlaf6kMzioEpueA6gYl9RQU1zCweC88tQMaFAxLg4pG3zrUEzJRt3aDrsmwtQ5ZfQwONqIuzYSbuwWcXr5/vi+ajLcOI7MrYUud70B2EhRmoAozYEY3GJIW0OZvzfgiot/EaTpKjrIlwPeAR/1/33D6AnbGho1DLVoYpBHjsjizx18ZyA+eNzkNJgRP04x0SMpM80dKnw8PcbRXKqUXRLZg/B2zFsMs++W3HfdnZGspamGB77sm9GUWJ4jAwDQYmIa6oavvCd/Z4NPQ2cm+ZXX0pvQZGajrmxM5mFpLQ9NgaHfUT7rDkSZIBtKldSZ+e+CwUCulivD5oULS3mtpPQosEpFbgO3AtdG6fkehpkcqWTtryaiooyYvLfwJrUEpX7re27pBZiuDEEVgQKpvc4LWtqM9SbTEgyHW0rooWtcEe9rSzCNu5zy9h1wzxc1McE0Dh/OMzw17xdBMzar0uVFuyuKaH6xH/as/iEQ0WUJvaRj3B+7t2UNQUg9zeweGt8w0qVOz0fRdoHjG2mMUXeI6okwj0il8raV4zlOBPjW0zG8WeND9QqwXZjMBd8zJdnM3mLMPDjdBVnJEp1q9lCrG1/lM5scPUPZMI33eyIeMZqeT2XlOCXRCoASisE6WHeLAhvEIy2tVMD4zYoEOiVK+2Op/HubqWbfD4CiZ9omMsrk5TEJo6lB5sOxgnIKox8p8LZw5g1XPB+8LZYq2RivbDdKQVcdQE5rXx3IiuOO69z6BtbWof/Rj7wfZQea2/t6M5rsdbR3J/yjifOE2CVrkPlp45nfraes/PVz/zWrcWm9669GnGW4XvqyF27u1qQq9oBbf8Sfksp2Mn3kXWz7wxQfp7904lm/VL3eCaC1d2y5j155Qe7Saigbo61zklPzlIEzIZEtfL+Cv1biYJCEuhdo4Fh2pyR3p29/MpAxlTpsdM3OUOeItrmqEGgVdI3OPhLq2uiEbuamcb/LnoO7pDslCUu+vA8ebdg8NMr+tTHEnCPW/DfV/tDov2ovW6/G83zaJNBeWFXrzMVr9Nj1mgj6iwCpyw4ctoX+9GiZkRjzl0EwQ9Z+3LZ/HqmuEY+8kcdtdU6lLfTToPH09ZumVITZCaCPB8RU/YlWoReSHwAuxMu+5teOXs4uvDAjR1KxlQQ9ne769I8FSoBsV7KiHNw8jzxxEPdm7VfXrc5q3fJhTOHOlQmaUsemt36Ke6G05mcLoEIxmH1uPcTy+rcNhTvez3dLUdmy2POATEVkkIhNFYjUmL8E51gQvHUIu3YEcvxWZVIpsr0c91wfOc3bCS4AUQf1fHuxoQH63LzrXSGSU2NscJqymVkr9UkR+hS8twE3AEyKyCPirUmqr4y2KEk7n3XaCN4cus1ewpA6ZVArD01D39ICzMqBz20IMNC2tzYsGCy2VkYRakI9cscsX4nmD+UJ7etz6rUNp63a3xqI0Bm0HW31q/zTJ3fjmQDcAOcBiEVmplLo3mg004rapbDW8FTX2N/rS4d6eA7d0i/h0oyMrKDVyGQxaMSrU6T5yU1Av9EGu3oXqkwLjMlvtwIoW4UxvO+t2OU6smt8i8iMRWQP8DvgAOFkpdTswCvhulNvXcTnShDxSiZxbAhdmws3hNWRUGZyGmpeP/KACvqp1ty1xgjTZ25zGjqbuDnxHKbVdv1Mp1eRPtdKhaI2GbpVX9emDyBMHaPp7Pyhsfc4tY9BIqONhOSsD9VBPZEoZGa/0jGhWWHuMMMQcsWp+K6Vmhzj2lbPNSUyWl62LPCxxUhZqWx3yapUvAUAEhPZqtyyrYUvAr85C7aznmtvXo17vB13s9+1jYbKGvTZsbvN1RHnj1AlPxJq6XypqRg4yY3fE19L6yxpXfD0RMHfMtco38MMc2F6PzCj3rZaR0uzB7ZAa2Qpv2R2PFjQocDFvniUiqEd7QSPIr/a63ZrYxZul5WFElh2B0W3PYW176CwSUgU1rzdy6jdwfw9fiiKCvcuxYG67SSwHn3i4we4GWHAQ9YPIco+1K1nJvjHz16vdbknsoWLb++3hAvL7fXB9V+gfi/Z3M+oXucj/lPqsyBu7xm4SQDfwHGXu0FoTMarOoMoGWHoY9WFB9K7hFCemo5b0Q24qZ/OnwqpZA2lKs2cAWv2GCWO2dyTz2x/Qsl5ENojIj91oQ0zzUQ2ckQHdHUxPFEWez+3Diy+dypDqI1w8dQMZe+rCn9QB0Ia1wm1h6xHpJCIfi8g6v8w8EKp8uwu1iJwETAfOAEYCl4vI8e3djpgnzrwdDV2SUc/kU3p+Dpd99wty13r9bAepBS5USo0ETgUmishZVoXdML9PAFYppY4CiMh7wHfwhaHGDZHEEkc8yWBAqm9qZRTRkh5YpWSKhOb7ED6/ox/7h3fmwhkb+fSe49gyqZfleQljZlvhkPmtlFLAYf/XVP9mWbsbQr0eeEREegA1wKXAamOhaK6lFfNUNkLP6P5rmnYPJan3144It1E4d13YnWULM7jwjo302HCYj39egEqNM9OjrShnPdsikgysAY4HnlRKrbIq2+5CrZT6SkR+C6wAjgBrgUaTcu2yllZbiSRxvm1KG6Bf9P81ekE2piuKBNP7PhVeXnwy5/10MxOmfUmv+bmQ67unhNfQGvafWsulbANVKdUInCoi3YDXReQkpdR6s8pceX0qpf6qlBqllBoLHAC+DndOR0J21aP6xv/ARH1WCu88NZyKMdnIxJ2w7pjbTWo3hIgcZZVKqdG6bZ5VvUqpg8C7wESrMq48OSLSSym1R0QG4OtPW3b6OySlDTC2/bscmobWa239fju00MJJwtofD+Dk0xqRG8pQD+TCxZ6mjgQR6QnUK6UOikgGMB74rVV5t9TBa/4+dT1wp//t4yqLys3X/L42v0V335JIzUqr8hNLdrP2qh6Mx9xZZnZea01/owDrccKJpvH8+QPp9lweF9yxkdFrSth8bS9qclOp6xbbwTWtxtlZWvnAs/5+dRKwSCm11KqwK0KtlDrPjevGA8nHGum+8Qj7TswEDrrdHEc5OLQzby0+mbN/uY2Lbt1I6uFG1vzsOLZ8p2diRqI55ChTSn0OnGa3fPx33BKEbpuPcvziPXTdVsOucTnUZ7fPv8ZMG7dVQ4dasLCuWypFTwwDfPc87geb6FRZz/rb+rbpmrGIN5+6HYnETNab5ZGY4pHUfW3+as6atY0Dwzqz+4xsvr7e3soYsThvOZJUvQeHdOadPw/nW9//iqqBndgxoUeUW9fOeELdccneWkP2NzWsePZE23HTiULVoAw+v6MfQ1+uYPeZXanrmiCPpIvZRDvWExRrKMWY4m+48PaNfH5Hvw4n0Bpl53Ql9WgT3x33KZdO+oJum4+63SRHcCr2O1IS5LUYHicCHlpliitF/7cPcHBoBsct30/f9w5QXtiV/SdmMv/pZ0k/1MCn9wxgx/juQGQmdVQCX1px7bZyND+df718EtKoOP61PXzrlq94Y+nIdvMrRA3P/E5MpAkuvHMTANsndGf9rX3p//Z++nx4iM3X9GLbVT1REa6DlaioZGHztXn02HCE0/+4g1WzB7ndpDYRjQQIdvCEOsqoZGHdnX1JP9gQeEhLz4/hbCYxwKc/6c+3L13HrrE5lF4Qp79VrK/QEU+01izUm9NWgSitpeTSXC64Y5Pl8bbM9Ap3PFwiglj0oNd1S+WducO4cMZGPvzN8eyKQ8EW/+YGHdMz044k1TVx4t/KqMlN0MipKFF5ahbv/GU459y3hextNW43p3W4lE3UE+ookb21hs67azn9DzvovLuOf88b7naT4o7KkVl8OS2fk/9S6nZTWoXn/U4gTp+zncFv7AUFR/LTeffJYdRn+X5qJ81dO/HqrTXbY4VNN/TmO9/6lMyyWo70SXe7OZHh9akTg4yKOoYuquD15adR290zudtKXdcUtny3FycuKOeTnxe43Rz7OJwkIRI8oW4l+hBPPTlfH2XfiV0sBTrc2HIkmjOazr1Y4stp+Vx5xTo+v70vtTlx9KL0IsoSA+X9oo5ztHc6O8Z3Z9jCyNcVcxO3+tTeI+gwR/LTydrZcTJ8tBfrb+nL8Bd2k3K0Rear2MVbS8tdIjVfrcJEqwo6kX6ggbRDDWEnJzjppHJ6BlmsUTU4gz2jsjl+8R423pjvdnNs4a2llSgkCUfz08gsrXW7JQnH+lv7MGJ+GVLvkgcqEhS+JAl2NofxhNphctdVk36ggUOD275apUcwlSOzqB7QiYH/3Od2U8ISYeJBR/HMbz9OeJKTaxo5d+YWVs0eSFO6976MBuu/34fTHtvJtqt6ut2U8HQk81tEfuJfE2i9iLwkIp3caIfT9P6oipqeqWyfmGAZPGKI8rO7kbXjWFys1yVK2dqcxo21tPoCdwGjlVInAcnAde3djmiQdqSRmp5pbjcjoVEpQvnZXenz34NuNyU0dj3fCWR+pwAZIlIPdAbKXGqHKa01xY/lpJBRGd01sNygtd2RcB751uZ/Kx2bQ9/3D7L1O9brdMUCHcb7rZQqBX4P7ADKgUNKqRXGciJyq4isFpHV9cSHJ3n/iZl033AEaYjZVYISgrJzu5L/4aGY/52lyd7mNG6Y3znAVcBAoA+QKSJTjOWUUvO0ZUhSiY9A/u5fHqEpVZCm2H7Y4p2jvdM5mpdG7heHwxd2E4fMbxHpLyLvisiXfl/Uj0KVd8P8/hbwjVJqL4CI/B04G3jBhba0GmPsd87GI5z30828++SwiBMIOrE6iNO0Ryx5W+6vdGw3+r1zgL2nZTnYIgdxdriqAfipUupTEckC1ojISqXUl2aF3fB+7wDOEpHOIiLARcBXLrTDMZKPNTL27s2s/lkBe8Zku92cDsHWq3ty/Ot7YjsQxSFNrZQqV0p96v9cjU9eLFc/cKNPvQpYDHwKfOFvg+Uqf/HA6N9uZ//wzmz7dmzPTU4kDh3fmUMDMxj8j71uN8WUCINPcjX/kX+71bJekQJ8S/DEzvrUAEqp2cDs1pwba5P6+72zn77vHeTNN06xXA+qtaas0yZwJN7oeGDNzOO44M5N9PzsMHtP60LFGdlUHxc7kXwR+FYqlVJhf3wR6QK8BvxYKVVlVc4Le2oDnQ/XUvirbfxnzvGBzCYe7ce+U7qw9B+nUF3Qif7vHuCqS9e53aRmHB6nFpFUfAK9UCn191BlvSexDVy7cDW7zs9h7yivH+0Wx3qksv7WvqQfqOfqCZ+53ZwgnBqu8vue/gp8pZT6f+HKx51QR3PBOjOsrvHm1lO4ZMl67lgwmX3lXaLeDieIdY92m1CgYm05XOe83+cAU4EvRGStf9/PlVL/NCscd0IdKwwo2U95327s6xkfAp3odNpfT31WstvNCMKpIS2l1H+JII14XAt1JJrHaSdR766H6Lb/KCiVmAumxxk91x5m78gYesEqfM+GC3iOslayu082yY1N9Npd7XZTPJRi2Iu72X5xbM2O6zBhoonCaat3kl7bQF26c8ZO3bhyx+rqSAx+fS9J9Sqwcmgs4CVJiDN6lVcx86HlPPCbyznYvbNj9aYVRTf31oaSPoHPIwqiMzHOiS5RJGGz3TYfZfRvt7P8+RGQFL4bZJXa2XGUcs389oQ6QrpXHubBe9/glalj2DDSMlLPox2Q+ibOvn8ra+/qz8Ghzr1cnaLDTL2MZ3rsOcyjd/2df088gTeuOdXt5nR4TntsJ8e6p7Dphjy3m2JOB0uS0C7YMbHMTD29marRt/IAcx9dyIILz+bpc8YyIrbyOtgiWiZ3a4l0xEFvOncur+Xkp8t45cNRpqMPsRDy6mnqGCazppaFv32GBRPO5ulLx7rdnJinblx51J1++cWHAOi2OUaXuVVAo7K3OUxCa2qn+Pkr/+TjYQP524Rz3G6KB9D7w0OMfnQ7RY8NYfeZsRui65am7pBCHc4005upOUuPMG7dJi55ODjZhJmJbgc3TeBw3u/W3lMLFvjqcbqLklldy3XPf8Lot7fzwOzL+fy0/lDh6CWcxfN+xx6nf7ydHz31b+66/TqqMmNnSl9H5IIVG7ll7n9ZdfZAfvT0/3CgR6bbTQqLp6ljkFvmfkBu9RFKesfWHO6OxhWL13HVa2uZ9bur2DY0DpL4Q9Q823ZICKG2MivbOqPrR0//D+c/+TV/fOoVrr9/Ok1JieNXdMzUtnmN1nY7khsa+Z+Fq7nvsavZdZxzEWPRnu0ngETBCWaHxHlKo0BDajJPXHkBANP/9R+GTFtj+9xIynpYc8mS9Ww9PtdRgW4vOswKHfFGU1ISd992LTet+JDz1C63m9PhGLlmFysvOdHtZkROB1yho9WEWz3DjikeDqNpWpqbwy0/uZEXZ8/jpdpLqEkPv7TO5gWjTNtRN6486jHesYITnv7DWel0PhrddbOiY4q7F/vtRjL/YSKyVrdViciP27sdRqwCJrrUHOMvjz/P6w/+Gemc1OYXa0cRaCc4p2gLo1dtZ29ejOb2DkOHmaWllNoEnAogIslAKfB6qHO6UkuSaqJJInsHReQM8o+tUtK8q8++g8x7/HnWDurPWY/dR5JSHPNr6VgLubSDk2PT0b7/3D3V3Pn/3uXhhy/jy1Oi79SLCh10nPoiYKtSanuoQtnUMo+VLFZDSTmcTEOX6KatSa+r59r3V/PdDz7lk6EFPDD5ci+7STtz5gff8ElhQRwLdMf1fl8HvGR2QL9A3jbSeIqRnEU515y/hjMe+oaUw41RaVB6XT2zFy5lyjurWDb6JP6+spcn0C5wyme7WHdaP7eb0TY6mqNMRNKAK4H7zY4rpebhX7kjW7qr1dKb1fTm+8u/4YyHSyicvY0X7znT0TYN2VXBvD89z4bj+jD5Z7dQ2TWLEXeWuTYjqz2SGsRiN6Lz4VpOXbOTJ+++wO2mtIloDFfZwU1NfQnwqVIqoujdY7lpFD84iH7vHCDDQa/oaVt28OLvnuFPV13ID+68gcqu8emcSQTGvrOZdaf3p6pbnIfmatlPwm0O46ZQX4+F6R2O+uwUDg3OYMjGPY40JH/fQZ5+7Dlm3vJdXj/ndEfq9Ggd0qS4/PXPWX5ZHI5N61FAk80tDCIyX0T2iMh6O5d2xfwWkUxgPHBbpOdqY4oN5yRxyZIvWH13MkPwDUXpx4Yj4dJPvuDt006gaOTwVp0fLWLRNHYCM4+7dq+jV5XQmJLEmjOPa+9mAdrzVdzmegRHo8UWAE8Az9kp7IqmVkodUUr1UEodam0d/7riJAq27eMu9SlnqTJ6qqOtNmXWF/Rl3Odf0+uA5ZpjHu3ExUs3sOzyEYnhnGxqsreFQSn1PrDf7mXd9n63mprMNH7+x6s5dkM3rmQrT/Jv5v3pBTJraiOua9XwQawaPpBxn2+KQks97DB8fTkP/fQf5JdW8e74YW43p+1EZn7bXsrWDm6PU7eJAz0yWXDbOWy4uA+pDQ089tQrzJrxIs/IKaamuH6ShXZ8yLQ1bF4wipzqI+zPiv05uonIbW+9x/ff/S8vfW8M/554Ag2pzXEIoUz1WCcC89vWUrZ2iVtNraGFdtanpPCH705gbM7uIIHVs3nBqBbCvnnBKM763n85paSUj04Y1D6N9gjQ82A1dywt4u6nrmH5FScFCXTc45L3O641tZHy7l3JOXw04vOuZCtLzhrJ4YxOUWiVRyimvPMRS888hf25MbQOliN4yfxt08IcW9D8PbmpCVWvAia1Xitr+6DZ9M7bf4gzN33DJXzD5ZcG5yDziB6a+Zxa28CN7xdz/2Pfiei8uEDLJuoAIvISMA5f33sXMFsp9Ver8nEn1GZoZnaKaiIlWbHlmdMC+42CDT6h/tXCpXz3g0/Z2L833//FNEpzc9q/4R2ccW9/zdYhPdlZEH8JEOzg1JCWUur6SMonhFBrNEgSFTnZDKzYx7Z861xWI0pKmbh6Pef9/l6qO3smtysoxVWL1/LXO851uyXRwzO/W49eG38292tO3bqT5Pt3sHnBqIB21s9j/vaiz/j0/OMYcOL+gDmv1+JxZebFKSM/3UVSk+Kz0f1Dlovb/4UCmjyhtoWZR1vPBycOZsKnX/L3BVOCjo+gjLpx5SSpJk4fs4P3PulJ3T/KA33y1kajOYk+SUOiJ1O46tW1vDFpZGIEmZjiOcpso9e+0FLIv1RN/IwtzFn+KtIEPSoPk1rfRI+9hzk6Jo1+Ow5QktKD/y4fQ1qn1JhaEyutKJ+3xv4JgMvev8vl1kSPPjsPMOyrCh594BK3mxJdPKF2hhpJ5V41lgtSD1KXnkLJoB50PlrH0cw0jmamsScvi2+Oj5Pc0QmINCnumvMOr113OnXpCff4NaOARhuzNaJA3P2qZql39aZq3bhySqQrC2+OrckZdtE09Ftj/5SQ2rrrwRoGb97Lz/94tdtNiTIKlCfUEaPvL0Nwpk7tc1v7qW5l/0xEgdZIbmiiKTnugxnD45nfHomOZnov/c4pbjcl+nje79ZhDC7Ra1Ttc1u1bKJ7oduLnH1HuPGZj8g+VMNz309wB5lGB0xn1GbSivJbJMr3iC16VlQz47Ei/vy9hRzrlMKs312ZWJM2QuFN6PBIFFJrG7jpLx/Sc081J60rY/nlJzLjuSkc7N7Z7aa1H0pBY3Qy3oYj7oQ6KJZ7XHC0mJmpbMdR1pGWwok6SnHrE/9hQMl+ll0xgsfvvYjD2R00FNdzlNkj0tUkrQTdrP/t0TayDtUw8+EVdKmu5Ze/v4qjXdLdbpK7dKQ+tYh0E5HFIrJRRL4SkUK751o5xjSs1sTqSCGYbvHwPW+wq38O9z3+HU+gUT7vt53NYdzS1I8Dy5RSk/xJ/TtQZyvxSKtt4N4Hl9G/ZD8zn5iU2JFidlGgOkrwiYh0BcYC0wCUUnWA7az8+mGsEZS1iCYzYrXP09bO0aX6GIX//YY/3XOBJ9B6OlCY6EBgL/A3ERkJrAF+pJQ6oi/kz6h4K0AnnSIPNZvKKOBpRfmmwusJtLPsz+3CH+/7FlOfKWbDKX3YdVxiJj2ICKVspf+NBm70qVOA04E/K6VOA44A9xkLKaXmKaVGK6VGp9LR+2exz9uXnMAbk07lhgUfB/al1Ta42KIYoAONU+8CdimlVvm/L8ZEqNuKp43bn39PHM41L67h3geW0ZicxIUrN/Hs989i0dQxbjfNFVRH0dRKqd3AThHRMrZfBHzZ2vqciCLzItGc4VBOZ+7+8zV8clYBG0f05r7HrubK19bRpfqY201zAZtaOkE0NcAPgYV+z/c24CaX2uHhMOX9ulHer1vg+zeDczlpbSkfnTfYvUa5QUeb0KGUWgs4siKBE1FinqkePfb3yCTziHNLDscLClAuhYnG9YQOM7Tgk0gCUzyix5Eu6WQejnx9s7hH+ZMk2NlsICITRWSTiGwRkZA+qA41qOhp5PbnYE4G/XYcdLsZrqAcMr9FJBl4Et/yz7uAT0RkiVLK1BeVcJraI7bou/Mg2wd20HFr5zT1GcAWpdQ2f7DWy8BVVoVFuRR0HgkishfY7nY7TMgFKt1uRBRJ9PsD83s8TinVpuyUIrLMX7cdOgH6IYJ5Sql5uromAROVUt/3f58KnKmU+oFZZXFhfrf1B44WIrLaySVIY41Evz+I3j0qpSY6XaddPPPbwyP2KQX0S5n08+8zxRNqD4/Y5xNgiIgM9Md2XAcssSocF+Z3DDMvfJG4JtHvD+LgHpVSDSLyA2A5kAzMV0ptsCofF44yDw8P+3jmt4dHguEJtYdHguEJtU1EZL6I7BGR9bp9c/x51j4XkddFpJuLTWwTZvenO/ZTEVEiYnfcNSaxukcR+aH//7hBRH7nVvucwhNq+ywAjGOPK4GTlFKnAF8D97d3oxxkAS3vDxHpD0wAdrR3g6LAAgz3KCIX4IvOGqmUGgH83oV2OYon1DZRSr0P7DfsW6GU0tJ7fIRv/DAuMbs/P38E7sU38SiusbjH24FHlVK1/jJ72r1hDuMJtXPcDPzL7UY4iYhcBZQqpda53ZYoMhQ4T0RWich7IhL3aVq8cWoHEJFfAA3AQrfb4hQi0hn4OT7TO5FJAboDZwFjgEUiMkjF8Vivp6nbiIhMAy4HJsfzg2DCYHyZX9eJSAm+rsWnItLb1VY5zy7g78rHx0AT9idixCSepm4DIjIRX3/zfKXUUbfb4yRKqS+AXtp3v2CPVkol2qytfwAXAO+KyFAgjTifmeZpapuIyEtAMTBMRHaJyC3AE0AWsFJE1orIU642sg1Y3F9CYXGP84FB/mGul4HvxbvF5YWJengkGJ6m9vBIMDyh9vBIMDyh9vBIMDyh9vBIMDyh9vBIMDyh9vBIMDyh9vBIMDyhTkBEZIx/jncnEcn0zxM+ye12ebQPXvBJgiIiD+NLEp+Bbz3w37jcJI92whPqBMWfSvYTfCs/nK2UcmcJRo92xzO/E5ceQBd8semdXG6LRzviaeoERUSW4JugMBDIt1p3ySPx8KZeJiAiciNQr5R60b8M6ocicqFS6h232+YRfTxN7eGRYHh9ag+PBMMTag+PBMMTag+PBMMTag+PBMMTag+PBMMTag+PBMMTag+PBOP/A1AthGZ2cA6MAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6164,7 +6162,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6176,7 +6174,7 @@
     },
     {
      "data": {
-      "image/png": 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x8+iTXau4ZEPo/rYe/jZ1wHVcxJN8wXeatd3qJpU39ZlrHl3OyMqdDLlhKR5JakpJ9fex9frzVqD9nq2yzoFYFShTSu0WkR0iMkQptR44B1hn1N7tU7vYykAO0UgSHzBA9/Mf/nQ6WUdr+S1f8Yz6jLseXUB2TegCh7GOwlyBhDCKJNwBvCEiq4FRwKNGDaO9QN4fgUvwPsQ3AzcqpQ7ZJUOsou0ihPNZJITjiv9r8DwALtkwlUs2BC6D1pxPdq0CYEpBcM9gBBX8ly5Ni+b52XL+y03n+N3vLmTSsxtY3b8nf3rqbW4Yu5iiIq87Xlxa0LQIoj8dWJt8YvX3ZSVWDmkppVYCpi7STve7EHgGeFWzbQFwv1KqQUR+D9wP3BvpCVoTyIrkGJHeOMHcbe3ndtyYgQpnNHtNG0jSKrf/ff/5N3k/9I0hT2Ek4B1+2jL4ZQCmFIz0FiL0Ff9LUh4uYTPP+9pqZdK69scy05h39wgA/rumD6pEvMurox/IDJbiGStK7q37nWDzqZVSXwIHArbNV0r55wJ8A/S06/wuzpOMoiO1rKaL6X02DO3GGes2kVLfaKNk0cC7QoeZl9U4GSi7CXjb6EOjBfISnUBLY8aTCLRKwVxuM/PBQ7necDzTa8v5LzfbFlhddL7qw7ls4x2GHJ8oEyS3vio7nTPWbWbYml2sPqVXyO5DoNel54U5YbW9JYKdGX93RKlF5FdAA971tHRRSs0CZgHkSp7uJN5wfiyrx43DIZRimo3UaxU9cFim2Vh9UWg31B+B9iu13+XWk6H//JuaotFpRfnUQdP7KYxs6l/rLe27myxyfINUZnICaqtTWH9CN1af0qvpfGYxUvBQowqB37UVEzqUEsfcbyeWsp2BN4B2jlI2rLjtElOMoIJP6Gu6/Ykrd/LNGf3sEyiKtIn51CIyFbgHOEspVR3NcycCRok1em5nKA8kLWCKqdblLi4t4OHTP2yegeezmMWlBQyivJmLPaXgeCBMm8OdrDyMoILfcZquDHpZb/s7Z3PSf8v44rwh7OueC7QM3AXDyHsxahf4PVk5oSPhyhkZLJB3P5AOLBDvEMc3SqmoLJLnZDTUim5COG0iTW5putF9IycPn/5h0/G0UXKt+62HX+Gn3vApOwo6seoxr1IH9qW1yuxP1Zx269nc+tSXzJi1mD8+NAUwp8xa+cNpE5hibN18aucqn0g8eMC5kqdOlXOAyLOlzE69cxKrMt5a+wDzy+G31H7l9m/TK9yox8VqMydwgD/K2BaFHYMFwLIqa3ntipeY8c6NHOnQvC64dj89hWwtc8rH8PFZf10eIhc7JPnDO6qbZk821fbRke+3+nxaEjZN1MVZMlU9V7KR5wLGqM1w2ldbONI+o1mFlXjD4tzvsIjfby1MnLDOZoZU7MhHb22k39/O/51p9/Nbaa31ft1X3F+7AubtrGQlXflW8pvtC77ZVUXG389Vby6nrFcHats1n9UFxp6aVd+jleWM3BplFmEmYypahMok02tj56STYMNk4ew7hzG8PsSryNevL+P69WUAvD7kuNJlzkxlWNFOFvx9LJuGdGU4u1r02f3HgOMudUpdIz13HuTObWeaGqOO5iSdcPBOvXQmUOZO6HCxhT8+eD6FDOdXD35M+4PmBzoaU5Koz04mw7AIcfzgrnoZIUYT5f3bzVjo1tQliyRryem8ZD8RWWm/dVzfst3168uYU+61rI0pycyTfgwbd4ypHxXz9vSxuu2PH9e7n0oSiiYMYercUl5nmGNeTWvxztJy3e+IMLsMjpZwCw3qufBGKYlazE7ksJNAF9WqyHiwz/3nSCvKZ9db5XSqqAo5ftxMxuvH8Kev3mHVY8N5fUiPZspvZW1uO/GmiSbYhA4XF4ChxbvZ2r9T6IYadhe055Vbx/O9l5eEbhyzeC21mZfVxL2lDodQlUUDqZtU7nUp0Z9cEU5Ot9HcabutTqixXDPBvEgZvqqM0au3se3PedTr3Gp6k1aarHxdI6JUCyttlWzRIOEyypzG71b7Ffnh0z9sUs5Q9aL9ir6xcHRTXy8StDet0Y0YzRs0WiWefvnfeZz0XBlplQ18/cgA6nNTdB8o2vf+SHhaEfxs4wImvLqZ+a8Os1y2aOFk9DvhlDqw2qQff3YUhLdci5ZwKpUEKnKkhRniCan3cPJTO+jzyQEWP9yfP804gdQRBVAeOuaQVuT9m1rbwIR7N1P018EcGmTNlFunAmxuoMwlbmm/qZrhL+2i1+cHqTgxm4/fHkFtXipKwrdUg0v2cLRnOnvH5NogafTw1yhzgrhT6lDLymhXVtTOFzay4GbL5ejJAYBJ7zxRrXPBfw4x4ZcbWXdTAR+915Oqnu2aPvP2h7194jnlY5p+J20/OZD8XUdY27WH4edmCYyaRxsFNLiW2hyhlpXxc/36MmYu1l+6pdkEhBATRLTlbPXkiIfhFbvo+1EF4x4p5Yu/DWHfaH3L2qxQQZH/uypr2hbIqMrtZHSsZzt5QOTKabRPNB+urvvtElOkH6wna1cth/tn0JjRfGJCv48qGPpaOVm76phfeAKHhhiuABM2BwdlUrDIpkLc0cSmbDEzxL1SGyWSzCkfY5iYUqxxy4MdD3xeQGnLY4QiWGmdWKfbt4eZeNdGjuWlkrPzGDvP6kjJ9d3ZPyKLE17dzdDXdvP1owPYd3I29dnGt5DXyuoHyPSG2qRBMfqJ7Xz7oLnKJ0672MGwukiCiJQClUAj0BBsqmbcKbXeKpVG0WrtbKI55komN8PfB/TXmwZni9lFg/yvDnHmLzbynz8NovyMDqQeaWDA/+1j/K82k7OjlrIJ7Zn35nCO9moX+mABBBspAGi/pQZPirBzcsdmnx+f+NHcrQ6l0E7/RjZY6slKqYpQjeJOqfUWOgumsGZ+WK0l1T4kBtFylpC/XWvyxbUznGKJ9puqmfjzjXzxzBD2jvX2ketzUyj5fj4l389HGhUq2fyNqr0+rVWdlr9M18pmlddS1SM96DFaa52jNbPLW/fbdb9dHEQaFWfevYkVP+/dpNCBhKPQEcngAY/N54gWCqHBYzpQ1llEtE+aWb5qus0PCfNFRAF/1/m8ibhT6kALaWSJg1nSwO1Gx9hYOJrhGLv3wWR8+PQPDVfeOB5NL3N8TrBftnuX/pvGdGHjtK62nMeMda3tkEL6oeBTLiOx0sG+Xzu//zD61KGWsgWYoJQqE5GueGv8lfgWzGhBtNfSuhr4X+AEYJxSytJv02gN6nBpMRuLli53oKIHFhFosU1Hwf03lNNBtPRj9Yx4YRf/vatXizWvwJ4b//r1ZS26IV6lrrfsHHrff7j5+xGjrHW/lVJlvr97ReR9YBygq9R2DqQVAoFlINcCVxgJ4xJ9hq8q4/npr1NxYjY7J3UMvYON1HZIIf1w/BdHgON9aiuKJIhIlojk+P8HzserS7rYZqmVUl+KSN+Abd/5BIv4uC0maQRYPm1ZWy3aJJJwrXjT0zyfFp6A2UkSwepMG9XztprA4yfVebjnV5/wi1uupuLSHKYl6Z+7uLTAdOZca6jLTSH1aKNhQK41ATInvCALLXU34H2f3qQAbyqlWi6p4iNm+9TB1tIKzOZqVtI24OZrcpMLg0ertYqlLYoQqAjBlNkI7TG07nywUrx2KHigOzpDviIrrY6zb13PnPIxunLA8e+hSX6LZDte28wb0VbJQlV+Oh1LqjgwPLupndZNt7IUMNin7Aqh0XygLPixlNoC5suyxmyRBKXULKXUGKXUmFTSQ+/gEj4KUmoawRM7td83Xt2VoW/sdloMS/Agpl5WE7OW2gyBT9lAC6MlmJXWupfNElZ8VltrWSN5socKzvjPN3PxpU3/B5uqaIl1UYreDxzkuXPP4s9Lzm8mhx7aCSxWWTdtUomfDf+vG5dfsJLs7cc42rtlgkvdpPKmksRWueN2TItVFgfKwiHulNrskjN+NzFU/1kveUXbbw7stxudz4xsevtqI/bBlCqS42vPoX0PMOWjtXTad5TPfnMCw1P1h+20c9BDyRYJWvdb62JX9m5H1p66Fkrtd9OPf+fWJO/Y5oInmlIbrKV1APgr0AWYKyIrlVJTrDyvmR8ocAy7uLSAmaUtiyj4HwzBplm2Jm3Uv6+RwljRf9RT6IKdh7jhhcXc+/SVNKR6J2to+81+tN+D9sGj9SisYIHnnab/L5PLuTarhooRLSeJpBXlM6c8Py7y50nE+dRKqWsNPnrfrnO6hCa5oZG7fzefN248lR1985wWpwVZ1NOQldRiZlg8knCW2i4C3V0jqxGsNK7WSs9cfGmLxdIDI+HBrJLfbdxYGHzYR+vSB1sWJ1gpXSM3PRyLfs2rS6nMSWfu5ScGbRcsI8/qKP0/No5v+n/qOkXj+Ul0WX6kaY62Nv/ebitt2VK2Cho9rlKbIlhwLHDoyL8tFNqCCoNmLGdmYei+5PHa1t73gcu0BhLo0msxWyXTSJZQaZB+hq4t54J/FXPHi9foZo7pyes/hnYYUXu+uknluoX9I0WlCKt/3JNT/rKDT14bBiKmKqbEIk5VE43ZIS0Xa8moruPuR+bzt7smcbCTdUUN7GDzZV3I2FdH/teHnRYlYhRe99vMy2rizlIHy8Aym92ltV4tAj/raVYGyciN1waPQH/ITDtNUy/TLdCbiNS1NOMCX/HWCr4bns/iiQNCHi+whFNgl0H7fXldY2stqEoRVt7Zi1P+vJ2549tH1UJPy7du0fmEC5TZhZ4SR6IU2myuLee/zGuVnZs+C8waCzaH2mjGWLMx7YC+drBx69Zci/YY2qy49Jp6Lvq/Ndz97NWGx9A+eLTdD73j2zG8FUjpBZ04+S/bySuu4sCI7NA7xCDKoZyeuFNql/A5Zel2tgzswq6eHZwWxTTSqEiuVXhS43d+tRv9bgXhTogIzOVO6r6B6QwGaGaxW0S/NRM6Ip3gEEo+q6K7Wg9i3OJSlozXr/ult/ifHWPR4dJhcw31WclBixrGdI0yhWW53+ESd0odLINLzw0NpST/GjwPz+7BzZQ5cKKFH+2NHvhZtAnW19ciHsXYb0p5+/rgowCB+5mdyWbXEFN9VjLtDtTT//197Di3I/U5LW/VWFVoP06533EZ/fb3V0Olb4Ya6plTPoak7huabQ9MjRzedxczF1/apND+/fyfOYVZZeq7pYKqrDR292iv+/nDp3/YwiI7/cACONqrHd8+2JeUe6u4/IKVtN/UcuF6vdzxWMKp6HdcKrWLefpvqmDTYHtKFNnN1ku68JCcQcn3ujP8ZeceoJGgMKfQ7pBWAOG6fkYZWf3n39TsvdaVDZzo4H8/h9DZZoHn1Tt3oEsfTj/WaB62Nkrfd3MFpQPCWx86sIvhZN/6+vVlbKzoyqWXrKbXggPsOC+v2WexjFMTWkU55fiHQa7kqVPlHKD5D2llIQG98Wf/zXw8FVR/GR9tW+3xtBVa7CZwdpqf3/7i//jg6lEsO62v7n7B+uVGpYydKJbYafVRzrqqhH+WjIYke6PKMwYvXm6iEGBQ2g3ooXr//kem2m68+qFWn0+L634nOP227Gdr/86hG8Y4+0/KxoOQUWFdYUK7cd3vCIi0pFAgRm7vzMWXMrzvLu9kDR+B0xG1+2kt/LT8ZbbW9TK6Hq2V7ri/ipT6RvZ3MZcWGjg06LfQZjL3osG+y9sz6ukdLP5Nf9uttRW40W8b0PZlg92IRu6xPz1SGyEuLi3wzr/WGe6KJmYU67RFW1gxtnfIyRt6x9ZbC8yojrn2Mzv59td9ab+phgn3bELqPbafrzU4mfud0EqtZ0WN0N6YfiX+1+B5TfsGWmVtMMn/md7wkJ34ZTZSqNP/s4VFkwc22+Z/KGmtsn9//7VA8IeG0ZRW/zHsoj43hQWvnED6oQYm/2QDyccabTtXq1GAEnMvi0lopW7rHOmQQc7hY06LYSmNGcl8/twQ6rOTOe+m70itjN064UqZe1lNXPepAwnWb9aLTkPwQgv+dnoWWu+Yevv6z2EGS6PKStGt/AhfBczKCizjZPZ6jFJx9VYhtRuVmsR//jiQ0x/awoR7NvHFs0N4fWjPGBviEpSFRRJEJBlYBpQppS4O1jauLbVRsQEzaGdRBd7M03MqmJ5TATRfXse/zX9uswUJw5HJClLqGpkx62syqusMc779BPaVzcrtd9X1ViHVHts2koQlD/Uja1ctJz1bFmMK7UOZfJnjp8B3ZhpGey2tPOBtoC/epdynKaUO2iVDWyGp0cP4hZs5aWUZnfcdZcDGvWwa3JVf/+lyPClx/dwOiictiaJnhjDl++tIqW7kvz/vbfvKnKZR1s3SEpGewEXAI8DPQ7W30/0uBJ4BXtVsuw/4TCn1uIjc53t/b6QnMGPZWpsVpd3vtcrOTdZ6es68pm1Oc+XsFZz5xUYWXDCMFWN7UdZrvOmignpudaCLHdg90ZY3MhtQs4ujvdrx0XsnctbPNnDRVWv4ZmY/Kkbl2H5eU1jXX34SuAcwdWFRXUsLuAxv2WCAfwBFtEKpzWBWmZtFbQ320brffpxesRJgwsJN/P3OiRSPbDnBIZyhPKNr0bablu9dMF5bDNDpdNLavFTm/2MY/T+sYNIdGzjWKZVFfxzIoUGZoXe2FdOW2nB9ahHxe7vLRWSSmYNFO1DWTSlV7vt/N96Fv1xayeZBXRhcskdXqS1FKQq+Osx5qp4O7+whu/IYJ3t28OfNb9O+qoYRybs42iud3eNy2TMul8re7cIeIwfvwn195h8gp7SG5DpFfXYyu0/NpeLEbOOkExG2XNaFPWNzGf/AZi67aBXvfHkK1d0dXLLJ/FB6sPWpzwAuFZELgXZAroi8rpS63uhgjkW/lVJKRAwdlGAL5NmBGStzyYapTWPXfmKhsPzWAZ3ps3V/q45h5joKFh3m1Lu20v+ybNaW9+BoTjqVvduxtWdnKnPbUd87hdzNNeR/c4STn9qBEmHPuFx2j/Uq+ZF+x5U8Z1sNvT49SM+FB0mu9XC0Rzp7T8mltkMKQ2Z719LaOyaXxnZJZFTUc8a9m0mtbmT7eXlsm5LH3tG5qCTI3llLt6VH6Lb0CN2/PUJqZSN7xuay9N4+vDyxLw2S5EwQzT9O3drDKHU/cD+Az1LfHUyhIfpKvUdE8pVS5SKSD+w1auhzP2aBd0JHtATUQ+uav5bv7UPrueJaoqHs0/KXkVTr4bIPVvHtA33DOmcwl9loaG3ge3vZcGtXin/Yo0VRxc5UsYdc9ozNZeM13UApcrYfo9u3XmU76bmdJDUoDg3MJHNfHWmHG9hxdkfW3VhAbW4y7bceo8uKStKPNLD9/E6UXN+9edDrAWi/qZo+8w8w9pFS2m+pQZR3+Vv/Q2PdTQUcGpDRZM2vubm8xTVEk7ZSo+xD4Abgcd/fD6J8fiD8KY56mWlz+u5qYbXDxYpx6YKvD1PdNZWyyeEtGB9u/7fDxmq6LznC1494x72Niio2IUJlnwwq+2Sw6WqvkmfvrCVn+zHqs5NbuNL7Ruey6arj8771+veHB2ayemAmq2/vSUpVI54UwZMmEbn4UcFipVZKFeGNQwUl2mtpPQ7MEZGbgW3ANLvO31ao6ZRKzo5aMvbUUdMtzZ6TKMXJf9nOuhvzaciKcDkcEY72asfRXi1XsoyEiOWIJolWeDDIWlrn2HVOsxi5nHoEDu0MmrEcgDqAXc3dcP/wlt8CRyMyvv+kbEqu687Zt5Uw970Tw7ZaRjJqvYghb+4hZ/sxvvzzoGZlnQL3szIjLhZiFa3FOGJkLwmVJmo3D5/+YdMSM9NzKkjqvgHP7sEt2ukto6OnBFbduCXXd+fkp3eQWtVIfXZ4P6meDE2pn0px4vNl9HzzEEWvDqGxXXLQ9bMTQREtQwk4tJZW4qYbtSH6/2sfOyZ3DFuhg6IUpz20hT7zD/Dz567mSL8M647dVrA2TdQ0rqX2Ea6VuWTDVOZ2N/7cTGEBvQh6JBlq3ZZVsvPs8AJloZjyUTGd11Qx743hnJcVPOU4WNnmWMWoVJOluEUS4g891xvC61takWbasaSKAye0btE7rWL+ueBtbnnxP/zq3st588ippidmxItCg1eZbR+/di21S6Rk7q2jKt+6yPewV8rZeXbHmFyUPm6wKPkkElylDoFRkol/Qode2+k581pYYL1Amb+N/692yqd/u/+99njabamVDaTUeKjLte6n3Hh1V86+bT2Pdv8nq+7ohUoWbhj0ddPn2kXitdfkRJXRWMaNfpskHvtvYJ+s/f9VwY5z8iKecqjnWh8Yns1H75/ExJ9t4OxbS/ji2SEtFFkPf8EJMzO4YhHL1+aKVaUWkTuA12Nl3rPdN0qo9M/WHkevD621vNr9jP6nUcH2eka8W8awV8v58olBEck4p3wMdZO8qZSBN/OxTqkseGUYE+/awBn3beI/TwwyVcFTO4Ydb1jdx3bKUpsJlHUDlorIHBGZKhKrOXkJzjEPzD6MXLgdGbgZuaqMnO3H+Oz5oewer79OVmtRKcKiPw4ke2ctJz+1w5ZzJDQOFR4MaamVUr8WkQeB84EbgWdEZA7wklJqs+USOYRVFjoSQkbAS+uQq8pgaBrq7k5wWgZkJrG4lZHz4tICHl4f3PNpbJfM588P5cJpa6jsme7N4w5BvLndtmBTZNsMpvrUvmmSu/HOgW4AOgLvisgCpdQ9dgpoFU4qrRa9tNKgsh1oRG4uR93WEW7uEPJYwc4Z2MbspI7avFQ+e+EEpn6vmOr8dHZN6BByHxdid5xaRH4qIsuBPwBfAScqpW4DRgNX2ixf26XKgzxSgUwohbOz4CZ7XGyzHOmXQdFTg5lw90Y6rK9yVJZ4QTzmXlZjxlLnAVcopbZpNyqlPL5SKy4hmFIwkk92rQpvpxcOIc8cxPPPnnB661I09TyCSJJe9o7NZemv+3HOLSV8POdE+2aFJQqx6n4rpWYG+cxUydJoYqebrTdWbIZPdq3ikg1TAZrNwQ56jKtyUFvqkHeOoEwodaDC+tMgjR4mRi55KLZe3JmsnbWcc8t3zHtjBA3ZcTAF0gFEuePUCU/YBRV6pqJ+1BH50e6wzzU9p4Lpu+x7uK29tYCcHcc4664NfP7cUFSKOyCii0MZZW7udyzToCDVaSF0EOGb/+2HeBTjfrfVaWliFzf32xmsrNsdqXtuhMyrgjHh96eNrsnKrolKTWLhU4O5esJyVvyiN/U5bf5WakEsJ5+4OMHuBig8hPqJtVMqraQ+O4U9Y3Lp/6/YGC6MKZRz0W9XqWMUeWI/XNseesWi/32cFXf3ZuRfdzJ49m7nymfGKq77HTlm3Eqrl8cJ53ih2gZGrtMP1PM//9pC6uI+rT633RwcmsW/3xrO5NvX06m4iiUP9cOT5toKIHaTT+zAl9CyVkSKReRnTsgQy3RbeoS9o3MhLz6Giyr7ZPDx2yeSfrCBKdOLydhb57RIMYF/WCvUK+RxRNqJyLcissqnMw8Hax91pRaREcAPgXHASOBiERkYbTliHRVnxq4hO5mivw6m7KyOXHTlGjqvrHRapESiFjhbKTUSGAVMFZHTjBo74X6fACxRSlUDiMhC4Aq8aahhYVWNLztojXt+tGc62Ttrbe0y+IseTEe/JFNE504SVt/ekwNDMzn7RyWsuLtPswL9bQ6L3G+llAKO+t6m+l6GR3fCHqwFzhSRTiKSCVwI9ApsJCK3iMgyEVlWT23UhXSSdvvrOdbZ3gCZv75aUvcNJHXf0Oyz1j5Mdp6dx7w3RjDihTJOfXgLUm9DiDfWsTj6LSLJIrIS71JVC5RSS4zaRt1SK6W+E5HfA/OBKmAl0KjTTnctrVi2zlaRtauOo/n2r9aoLZyoVexA6x3J93tkQAZz3z2RM3+xkfNnrGPh00M41im2I/mWY95SGy5l23QopRqBUSLSAXhfREYopdbqHcyRnptS6iWl1Gil1ETgILAh1D5tiexdtVQVxP9kifqcFD5/fih7xuZy0ZWryVt7NPROCYIQVqCsQik1RvOaZXRcpdQh4AtgqlEbp6LfXX1/e+PtT7/phByxStauWqoKor+usmf3YDy7Bze55HquedgkCSt/1pul9/flvJu/o/8H+6wRNh6waJxaRLr4LDQikgGcB5QYtXdqnPo9EekE1AM/9j19wsYKtzucelrRquiRXWa/Uvu/O22V0ECOu+et/563T+nEkX4ZTL69hLziKjZO60pN51TqOiSoS27tLK184B8ikozXEM9RSn1k1NgRpVZKnenEeeOB5GON5JVUsX9Y64rzxyKHBmcy990TGf/rLZxzSwmpRxtZfm8fNl3RJXaXo20NFsUHlVKrgZPNtk+IjLJEoMPGaga+u5f2W2rYOakj9RbW8Q6G3iojRiuPWEFdh1SKnhkCeK950k/W066inrW39rDtnE7hzqc2iZORbitqjhu5+7+/7122DuhM93GH2XBt6OJ+VuHk93loUCafPzeUc3/wHUf6tWP7+Z0ck8UW2lKaqEtzem47QM8dh3jhx2dS/MMe1q5eGeMc6Z/B6tt7MvitPaQdbnBaHOswGySzQfFdpXYSpRi7eCsPPTCXt6aPpSEtPnK9rWbXGe1JrfZw5aQVXHjVGjpsrHZaJEuwKvc7XNqOSQiD4tKCpv/9S8hEjFL0+vQghwZn0OeTA5yyYBurTunF5kFduHL2cnIqa3nl1vEsPrN/K6WOX6rz0/n3WyOQRsXA9/Zy7s3f8cFHI6MWV7ANt0+dmIgHzv7xegC2nZ/HS9edwemLtjBq+Q7mXzycL84bgifZdZgAVLKwcVo3OhVXccpftrNkZnw/6OwogGAGV6ltRiULq37cg/RDDSyZ2Z/l5X1Zflpfp8WKaVbc1YvLL1zFzokdKZscu5VfghLrK3QkMtplWP2Ycbn1lqY1ovTCzky+fb3p9maJ1xVAQ1HXIZXPnx3C2T8q4evHBrIzDhVbfC8ncP0+m0mq8zDslV3U2DzrKtGoGJXD538fyhn3bSJ3S43T4kSGG/1OLHI315C5u5ZT/rSdzN11fDZrqNMixR0VI3NYNyOfE/9u7RKz0cKNfscpeskkM/7+FVM+LQYFVfnpfPG3IZaW0NU7p1FSS7y75euv684V565wbJJLq3D71IlBXsVRpv6rmA8XjKQ2z3W5W0td+xQ2XdmVYYXlLH2gr9PimEe50W/HCGeWViim5S+jYNMhKke0s1Wh9YJ7RiRCMG3djHwuvWQVq2/rQW3HOHpQummiiUG8FQyMB6q7p7P9vDyGvBH+umJO4lSf2r0FLaYqP52cHcecFiPhWHtzD4a+vpuU6haVr2IXt5h/fBLo0h7p2470gw2kHW6grr29X6/23FZ2I2KRIwMy2Ds6l4Hv7qXk+/lOi2MKdy2tRCFJqM5PI6usbVVAjQZrbylg+Mu74qM6qcJbJMHMy2JcpbaYzqsqST/YwOEB4a9W6RKcipE5VPZuR7+P9zstSkjCLDxoKW3S/bbLVU2uaWTCLzexZGY/POnRfV5G2xV3wt2flr+MtT8o4OQnd7Dlsi5RP3/YtCX3W0Tu8q0JtFZEZotIOyfksJru3xyhpksq26YmWAWPGKJ8fAdyth+Li/W6RClTL6txYi2tHsCdwBil1AggGbgm2nLYQVpVIzVd4r9edyyjUoTy8e0pWHTIaVGC42DlE6fc7xQgQ0TqgUyglZUIQhMNd/FYxxQyKuptP0+kxHuE3C//wZMyOXn+duac3vx6Yi25ps1Ev5VSZcATwHagHDislJof2C4e19I6MCyLvOIqpMGhX7ONsGJcb05etoOkhtiOglu5llY4OOF+dwQuA/oBBUCWiFwf2E4pNcu/DEkq8ZHIn7euCk+qIB5Xqe1kf5dsKrpkMbhkj9OiBMe6FTp6icgXIrLOF4v6abD2Trjf5wJblVL7AETkn8B44HU7TxrKNYvUNfXv13dzBU/c/Q5f/G0InrQk3TatQU/+aLnT2ppterS6jlsELD+1D+O+3krJiBhNRLF2uKoB+IVSaoWI5ADLRWSBUmqdXmMnot/bgdNEJFNEBDgH+M4BOSwjrbaBe37zCcvu7cvesblOi9Mm+GzKCZw7r4TkhhhOG7XIUiulypVSK3z/V+LVF8PVD5zoUy8B3gVWAGt8Mhiu8hcP3PTcIrYO6MyWyxNrSd1YZkffPMp6deCcTwzXiXOUMJNPOvvjR77XLYbHFemLdwme2FmfGkApNROYGcm+kU4ltGsK4rivtjJ28TbueOkaLpY1uucLB6PyxNGOXMeiyx3Iyz86g18/OJehxbspGd6dnPNqqOwTPJNP73u0K2oeRmylQikV8gcWkWzgPeBnSqkjRu3cNNFWkHm0ljue+Jwnfn0e1dnxEcxLJDae0I07X7iGXT07MPbrUi67cJXTIh3H4nFqEUnFq9BvKKX+Gaxtm0wTtYppbyxj6el9+e7E4FbNxT4Od8zk3etGk3O4hn9Mf8VpcZph1XCVL/b0EvCdUurPodrHtVK3NmLdGjKq67jgw7XcXvi9Vh83lKvrNLHgaodCFCiD5XAdS7qxLvp9BjAdWCMiK33bHlBKfazXOK6V2kl6lx6gvEcH9nfJdloUF6D9oRrqc2JrLTKrhrSUUosIo4y4q9QRcrh9Bh0OVINSMb1gejhegNYix4N11jK0eDfLB/eJnVRYhffecAA3UBYhuwtySW700HV3pdOiuCjFRR+s4atJA5yWpBltJk00UTh52Q7SaxuoS7fO2Rk0Y7llx2pLnPOJNwll8YTYUWq3SEKUCVVQIJTL2nPfQX752094+LGLOZSXaZlcGwtHW3KcWA+8WUnvrfu5+dlF3P/kFaikyLpBtuQwKOWY+90mlbo1dD14hH/86RXenj6W4pGGmXouUSC5oZGf/f4z3rjxVLb1j73CFE5NvXSVOgy6HzjM7MdfYM7EMXx59WCnxWnzfP/FbzjcIYO5l5/otCj6uEodPSJxuXtUHOTNx1/k9bNP5YULJ0Kpd7s2Smx0DKNIcqhzGqWMRnIsM5g5hp4c4chpFZ33VnLV7BV87/2bLR198N4biy05lmupY5ismlre+P2LFJ4/nlfOP8NpcWKeuknlAKQV2TctcuSKnQD0Lt1vaVzDMhTQ6PapY5YH3v6Yb4f0cxU6Rhi5fAc/+NsiHps5lTWjejotjiGupW4FVrh/Rm70hLUbmbRqPRf8Tr/YhBmXNVLXOBYTQEx1GQp9bUqPb7fiWrIqa7nmtaWc9ekGHnt4KqtP6dXqY9qKG/2OPSau2cCf/z6HO2+7hiNZbnF+J5k8v4Sbn13EkvH9+OkL/4+DnbKcFikkrqWOQR5462M6V1ZR2t0tfuAkl7y7isveW8lDf7iMLYPjoIg/2Fb+1wwJp9RWRmIvefgn3PbRQv7y/Ntce/8P8STFVgJePCWZRPq7JDc08v/eWMZ9T/4PO/vk2SGaLQggDgXKYusujTHqU1J45tLJAPzw3/8JK43TTfm0hgs+XMvmgZ3jSqH9tJkVOuINT1ISP791GjfO/5oz1U6nxWlzjFy+kwUXDHNajPBpgyt0RAWrkjfKOnfk5ru+z5szZzG79gJq0kMvrWOUxz1oxnLTOd5G8seT2+0n0q7Q0Zx0Mqu962bFQ9204ziX++1EMf8hIrJS8zoiIj+LthyBDJqxXNdlzq45xt+feo33f/MckpnU6gerVZM22gJnFG1izJJt7OuW47QoEdFmZmkppdYDowBEJBkoA94Ptk97aklSHjwS+TMopHUrbPl5wf5DzHrqNVb278VpT95HklIcM2Gl7aAtWefi0gLy9x/iR39cyC0/nc6yLn2bjXnHDW10nPocYLNSaluwRrnUMosFvKsGs7i6EzWZ9ipWel09075cxpVfrWDp4L48/L2LY7q6SSJyzsrv+HzUUJYN7uu0KJGh2m70+xpgtt4H2gXytpDG84zkNMopvPoVbn1qIRnV9qxPnF5Xz8w3PuL6z5cwb8wI/rmgq6vQDjB+3Ra+PiF2ih5ERFsLlIlIGnApcL/e50qpWfhW7siVPLVMurOM7nR9rT23/PVLfvynL3jiwSmWyjRo5x5mPf0axX0K+N69N1PRPgcusvQUzfC7p1a41pHOBLOCcN3sUDLlVB9jwrpN/GrG5a2QynnsGK4yg5OW+gJghVIqrKULD+Vl8refT+bUr7daaq1P3rSdN//wIk9fdjY/+fF1XoV2cYSLl6zmq2EDOJgT+6mgQfFXPwn1shgnlfpaDFzvUFTlpLOjTx6DSvZaIkj+/kO88OSr/PLmK3n/jFMsOaZLZIjHw/c/XczbE8c6LUrrUIDH5CsEIvKyiOwVkbVmTu2I+y0iWcB5wK2RHmPRpIGcMXsTy36ezCC883cjHS66cOkaPj35BIpGDo1UHMD6GWJWnM+Ksdtwijm0lkmrN9CQnETRSfFdWUawNFusEHgGeNVMY0cstVKqSinVSSl1ONJj/PuSEQzZuYc71QpOU7vooqojdmXW9u3BpNUb6HrQcM0xlyhx7cKlvDVpXGIEJz0ec68QKKW+BA6YPa3T0e+IqclK47p7f8DOi3pxKZv5G58x6+nXyaqpDftYS4b2Z8nQfkxavd4GSV3McMqmbbz6h5fovXc/748f5bQ4rSc899v0UrZmcHqcOmyauXod4PfTpsK0qaQ2NPDk82/z0I/e5EU5SdcV12aM+T/3p212rKziQASBGatTE+M9HTQSbp27kBs+XczTl53NexNOoT4l7m5LXcJwv00tZWuWuLXUfvyKWp+Swp+uPJ+JHXc3U1gtGwtHt1D2jYWjOe2GRZxUWsY3J/SPjtAuTXQ5VMntHxVx+UO389akcQmj0IBj0e8E+gahPK89HY9Wh73fpWzmw9NGcjSjnQ1SuQTj+s+/4aNTT2Jvx1ynRbEYt5h/xGgtb7LHg6pXTS619jPt7Cj/324HDnPq+q1cwFYuvlC/BpkR0ZgRFFuzjqwnva6e6774lmvu/6Elx3OiVLEhFlYTFZHZwCS8fe+dwEyl1EtG7eNeqeG4m52iPKQkKza9eHLT9kDFBq9SP/jGR1z51QpKenXnB7+aQVnnjtEXvI1z6TerKO5TwOaCrk6LYgtWDWkppa4Np31CKLWfBkliT8dc+u3Zz5Z841pWw0vLmLpsLWc+cQ+Vma7L7QhKcdMnX/HoNRc4LYl9uO535Git8X+f3cCozTtIvn87GwtHN7POfm6et4gFpwxrptB67VzCx2wO+vh1m0n2ePjPiEG2n9sRFOBxldoUehFtLV8NG8D5K9bxz8LrW3w+aMZykpSHs0ZsYNnaXAZ91rKf7ST+lS3A3tUtYoGb5n/Fy1POSIwkE13cQJlptNYXWir5OuXhXjZx75x5dMmppFPFUVLrPXTad5TqsWn03H6Q0pxOLPpkLGntUhmO+ZlSdluCtKJ85k58GoCLvrzT1nOFws7SQf1272PU5h38+MfXRXwMK+SwHVepraFGUrlHTWRESiNHc9Mp7d+JzOo6qrPSqM5KY2+3HLYOjJPa0QmIeDw8/vL7zLpwIrVpqU6LYx8KaDQxW8MG4k6p9eqIBbrYpdKeBVeMju2nuAF+Cz134tOOW2s76FRZxbBtu7j2vh84LYrNKFCuUoeNX5n9yls3qbypLzpo0nIoyjfdTzVKzxw0Y7kj/VunFdrOB2JqY2OLhRHCSY+Nm4e16367JDri8fDYy+/zj3NPd1oU+3Gj35ERmFyitaj+/1trZRM9Ch0tuhyq5O735pN3tIrbr2p9gCwucC11+AQOQ2nd79YQN+5djFNcWkDB/kPcOnchl32zivfHj2LGL25smrRh9D2HGuuOqXTQYLhK7ZIopNY2cOPfvya9tIFTS7bw1qRxnPvYXW2r7ptS0NjoyKnjTqn1crkJ4mqbCZRZZeFdAKW45Zn/0Lv0AC+eNoF7b7qCw9mZTkvlDK6lNke4q0kaKbpe/9uldeQcruGXv5tPdmUtv37iMpZW9HNaJGdpSyWCRaSDiLwrIiUi8p2ImA6Hai21Xmpn3aTyZtZZu92Pq8T28Lu7P2Bnr47c99QVVGenOy2Owyhv9NvMy2KcstRPAfOUUlf5ivq3Uf8sMUirbeCe38yjV+kBfvnMVdSlx50DaD0KVFtJPhGR9sBEYAaAUqoOMF2VP3AYa2Ph6Kb87VAWWrvNtdbWkV15jNMXbeXpuyc3U2irVw2J6Ui3Hm0oTbQfsA94RURGAsuBnyqlqrSNfBUVbwFopzHkwWZTaRXVr7h6yusqtLUc6JzNX+47l+kvLqb4pAJ29slzWiTnUcpU+V87cKJPnQKcAjynlDoZqALuC2yklJqllBqjlBqTSlvvn8U+n15wAh9cNYrrCr9t2pZW2+CgRDFAGyo8uBPYqZRa4nv/LjpK3Vpcaxx9Pps6lKvfXM49D8+jMTmJsxes5x8/OI0505svoaO3MGDcudYmUG3FUiuldgM7RGSIb9M5wLpIjxfuEJceev1ul/A53DGTnz93NUtP60vJ8O7c9+T/cOl7q8iuPOa0aA5g0koniKUGuAN4wxf53gLc6JAcLhZT3rMD5T07NL3fOqAzI1aW8c2Zcb7WdLi0tQkdSqmVgCUrEmwsHA2lx9/rTcMMheuq28eBTllkVekPbiSiy+1HAcqhNNG4X6EjEH/yiVEmmetqR5eq7HSyjoa/vlnco3xFEsy8TCAiU0VkvYhsEpGgMag2lSVgt0VO9MBPJBzqmEHP7YecFsMRlEXut4gkA3/Du/zzTmCpiHyolNKNRSWcpXaJLXrsOMS2fm103No6Sz0O2KSU2uJL1noLuMyosSiHks7DQUT2AduclkOHzkCF00LYSKJfH+hfYx+lVKuqU4rIPN+xzdAO0A4RzFJKzdIc6ypgqlLqB77304FTlVI/0TtYXLjfrf2C7UJEllm5BGmskejXB/Zdo1JqqtXHNIvrfru4xD5lQC/N+56+bbq4Su3iEvssBQaJSD9fbsc1wIdGjePC/Y5hZoVuEtck+vVBHFyjUqpBRH4CfAIkAy8rpYqN2sdFoMzFxcU8rvvt4pJguErt4pJguEptEhF5WUT2ishazbY/+uqsrRaR90Wkg4Mitgq969N89gsRUSJidtw1JjG6RhG5w/c7FovIH5ySzypcpTZPIRA49rgAGKGUOgnYANwfbaEspJCW14eI9ALOB7ZHWyAbKCTgGkVkMt7srJFKqeHAEw7IZSmuUptEKfUlcCBg23yllL+8xzd4xw/jEr3r8/EX4B68E4/iGoNrvA14XClV62uzN+qCWYyr1NZxE/Bvp4WwEhG5DChTSq1yWhYbGQycKSJLRGShiIwNuUeM445TW4CI/ApoAN5wWharEJFM4AG8rncikwLkAacBY4E5ItJfxfFYr2upW4mIzAAuBr4XzzeCDgPwVn5dJSKleLsWK0Sku6NSWc9O4J/Ky7eAB/MTMWIS11K3AhGZire/eZZSqtppeaxEKbUG6Op/71PsMUqpRJu19X/AZOALERkMpBHnM9NcS20SEZkNLAaGiMhOEbkZeAbIARaIyEoRed5RIVuBwfUlFAbX+DLQ3zfM9RZwQ7x7XG6aqItLguFaaheXBMNVaheXBMNVaheXBMNVaheXBMNVaheXBMNVaheXBMNVaheXBMNV6gRERMb65ni3E5Es3zzhEU7L5RId3OSTBEVEfoe3SHwG3vXAH3NYJJco4Sp1guIrJbsU78oP45VSzizB6BJ1XPc7cekEZOPNTW/nsCwuUcS11AmKiHyId4JCPyDfaN0ll8TDnXqZgIjI94F6pdSbvmVQvxaRs5VSnzstm4v9uJbaxSXBcPvULi4JhqvULi4JhqvULi4JhqvULi4JhqvULi4JhqvULi4JhqvULi4Jxv8HG3MfghCbxuYAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6188,7 +6186,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6200,7 +6198,7 @@
     },
     {
      "data": {
-      "image/png": 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XD1jGwL7gwNbbOoBvsYmXGd5KJqvqodWdsxmzZCtHfLWN5cf0C/tZjLIaPQqjbMZ9gXsZk09ikYjiKxHszvi7K0otIr8CGvGtp2WKqs4EZgIUSNekXvI2GkK55uEi+3MWjA3rtgcri1E5g/dNXTOlzVh04P1kRrf0r80UsII88q2Tn1pkDMhbV5PB6sN7sfyYfq3uZwcrBTe+NksJNn726fnzcEIVVcU199uNpWyvwBdAO101BitueyQUo6hkPgNttz9y6VY+PWlQ7ASKIx2i8KCITAFuBSaqak08750KhHIPIy2GH2wBg13uYFfWKme8flI5k0sOBcKMY8np2swoKrmb8aYymGW97eremaO+LOP9M4azs3dBiyxmMpphtLrG10bP5ZLiRS1ZZMFj1L73a2kvvvnUKTb10mKBvNuBbOAd8Q1xfKqq3iJ5DhAqHdbqWLDym0W9je+NhEoECShpv4lfs2NgIY1/72+6sK1RmQNKdsm1p3HtQx9yxcyF/OE3ky3vb4ZZFyJcm+AU0en5lb5ZE+0mBUsEJ9oCeWbTJxON6fmVjmQ3BX8+K6sdvN9KmY2KMHXNlND1wQ3vD2c3q0vzTfvawftaFDcXnvzRKcy+4GkK9tayv0uO5XnBcoXCqLyh2jhqqb0iCR6pRK42cCFr+WvQGLUdxn+8gf2FOdR1St7H0+Hc74hI3v9ahCSydTZ7H3AFAwS/DybYwhuvE2kRiYDVC5xnNiRktJLGRJSAlb6BpSylJ5+LefTaV5ywzFSui55fTFm/LtR1ajuryyoabsf1toNz7rd7xfxTTqmtqpYkolI75W4HrhXu2PT8tg/+HIuucfD4rfH6c8ppCY7N37bMNGU0d0YmRyzYyjtPjGPd8J5AW7f+UJHDQy51Rn0T/bbu4eZNp9gao3ZKmZ3GN/XSHffbm9DhERP+cOeZzGIkv7rz3xTusT/Q0ZSRBvlp5FgWIU4evFUvbRKctztj4XncdcLclveBUrQzSs9j5MBttssOuWHJQ1npaK242TmBfcHWPJRrDoe8m+BuwBvD5oHJQhnG6ZpNGenMk0EccdxBpry5kpemj2sjW8DCAy3naZrw9kkjmPJWKc9yRMhgWKJaaQjM0vLcb1sEK19wQTujglth/CGwo9BOu/BWY6TGY8Gvje2Dzw91ztQ1U1rknl3V3TQ9MhrZrQie/LHtxXK6VVa3ydoyOy/AD6edwB8/fpllvx/J5JLRrZS/ZXZXguNLE02xCR0eHgAjVlawcXC38A0NVJQU8rdrT+S7z3wWvnHC4rPUdjanSTpLHUywxQnOHDIyY+F5pudb8ezwPi1LyMSCSF1sq0h5MMZIeXDiifF9cNaY0/xo63uc+NVGTpipEJRRbfzcxs/RYuXrmxDVNlY6uH0ik3IZZbHCbhLJytISKD6kyHedMLfF5TZTbrPrrp11LFAW0/52LB5QK3c8nNvrFG+sehl5cDfsb0b/2AsK09tEqoM/dyCanrUA3tj6KjJ7O/pK5OtgJwpuRr+TTqnN+oLBgTPj60Cf27g/VL87VF/TrYBa0tCgyP274K0D6H09mXLJeDKHlMAa8x+PgLX2LXLo25dZ14j8eDv6VDEMz3ZELKsx/FjjBco8kpfVdcjje+HtahiTjc7tC90zUIncUg1btR36Z8LxOeEbJzCBGmVukHRKHTyEBYeSGKatLmuxzIHEhYBlnVHa2oIHCFwreJE0AIqt3X2jW2+HZOkHRsz71chN29HrusC8ftDvUBaYrz/s6xMb52QH+slmHlHxtv0s6DaAiTS3S6zgqHm8UaDRs9T2CFaiOeVjmba6rUscvBrmyIHbWsawh16x+ND5C9oW/De+N2Y12XXhzQg3fJWU/KsKuXMn+kwxHGduWVsVKlgQCMota9kXjPxrF/RsROkFRK+cVufE83/uud8eicXuJtjaAIdlQW7Qw/laFfLMXihrROf0gcOd6fsC6Igs5IMUmGofo2wxOySdUge7bIEoN7R1zY0Wd2VpyaGEk1bW2XrIKuAFGC1+pBY6KfmkBrm+Arqlw+YG+FYe+oMucFQ2PL0XeWYf+seeMLYT5FvPRPJZ2bbWODgS3vK+UZF7KtG77RUqdNvFDoXTRRJEpBSoApqAxlDL9CSdUq8sLWnpN19SvKjVsFUwrWYTWShjsLtt/JGon1TOs/RpicyGUuhICwVC+JUhXHHPP6xBbqhAH+0FE/NgXxO8XIX8fDtsaoBJuei/+vqCWRES+C6CP3fLd7SuHjIEzujc6rixsopRicMptNuZZzGw1KeqatiHIumU2iyfO5SymX2xRsUNzEAK9P3uOmGuQUHLLacIBn5cohniMgb2jDg5aysq1tQj11egTxfDeH8fuTAdru6CXt0FmhTS7T+oRqUzWtXp+ZXmVrasEfq2/rEIvkZ7rXO4KaxO4RVJ8HCfJkVurEBv73ZIoYOJQKGjollT5olUhMZm24Gy7iJitA4z/dV0W18S3hYRBZ4wOd5C0v0LjVbWDKsaXEaLGmzZjbOVjAQyygLXCETPQ90P/N2BYuuZT77rQsADCF0Ej1ZtjPvtLMFqd5nWQXN3ckonge8WWLZpD7asa1E67AldxD8aKx2uuESsLHcEfepwS9kCnKyqZSLSE1+Nv1X+BTPaEO+1tC4G/gc4HDhOVR1Nz5qeX8mMhT7FC7jRdmZgBSu/cZza94UfGusO9OeDFdzsR8Os4J+ZolsNd8XCFQ/+AZlTPpbsgw089eQ/0DuK2qx5Ba1nejmlAPO3LWtVaAHwK3X7xqeNhPshNHvvGOqs+62qZf6/O0TkNeA4wFSpYzmQNgsIni2wArjAShiP+DNyWRmPT3+WyiM7w7fy3BWmKB32JvtyOz4CfWoniiSISJ6I5AdeA2fi0yVTYllN9EMRGRi07xu/YFFf1xjICp5bO7uqOxvOfKbltdFSPju8T4vbazbsFcqit/yanzC3JdLeKgJvA7NiBGall4xzn42EKn4QCmMb3/0OyZtW38ytv5rPz6+5mMrz8rmk2vyzGLs8VhbPEQrToKrZMiBnx/UOZ5FjKn8QDlrqXsBrfr3JAJ5XVcuZOAnbpw61lpbVgx/80BoVKGsBjDQr1+HH+KUblS24zxWpMgfkMP54zKG1MpulnMZi8khwd+AK+Zi8rHpOu3Y1c8rHWqa+jhy4rU1xBbMZX5FyqLaZP6KdLtAnA1bWwVGdWtoZ3fRwdcnCKWu8lFsRmuwHykJfS3UD2C/LmrBFElR1pqqOVdWxmTiXseRhQCGjtskXdU4Q9LJCZNY+t8VwhGbE1uY0CWuprQg1n9osMBUIaIUaUzZaHmPCyiGrbTLZIwJCyQm0mudtFmQzyhmtDG1k6v0F46/fyCsXHcuc7eNayRH2XIc8CGNSSQvTC2HCJl+iy4C2CS7GtbHN3HG7FthqVMApy60OB8oiIemUOpJ6YnPKx5q6y0bXNhDdNn6xVqsnOu0OB+SwO+MrmvtbufFD5+wgt6KexofTuCTLfA55rFc1MbrfrSLhAzNhW2MbpQ646YHvymw4KhqljJkLnmpKbbGW1m7gL0AP4C0RWaqqk528b7QPvhmxLnIXkNVKmZ3oV5udn19ay8gHtvHLhy9ky66uts41/ljOWHheq7Tb9irFO80vt7w+X77Nvzqvh9Ftu1xZC4qZXVWWJLPbUnBCh8VaWgCvxeqeHuGRhmZOuWUdz/3geLYMtFZot8ijATpL25lhSUjKWepYEewSmhVNCLSzsnLG/YHJ+2YLsAcvEGdmtQN53MaCDGYYh8JC9e1NizUEXcNsTrldi37UY2XUFWbw1rePDNku1DWDo/SBeES02VnNFcNaXj+7ReFEgc9rW+ZoH8qRj72VdmyBPIWmZk+pbRFqMkfw0FFgn9l5RuZvW8bgt31j2EOvWGyYzB++MJ/xgQuFsW9vNaMrnGJauel2FXr5O30474Vl3PTUpaaZY1bXDB5bDy4iMXu1g12UDEF/1hW5dxf6ah8QafnhTNRplla4VU00+X0cD1tkHGjilnve5tGfTmJPN5czx8JxUQHsaIQPk7dYguJzv+1sTpN0ltpoKcK5q1b7jASi2wErOH1bZcsSMNB2Qn9wdD0wZGbVBYCgAg0WNcrtyGqFHfd75NPb+GZkMQsnDAl7vWeH92mzMJ3VUke+dq29lHYndmQI+otuPms9ITeuFtrJRedTLlAWK8yUOBqlCDxwg9++siW1NPi6gTaBvrWxQEPgfbhyw0CbWWV2xtcj+SyhxrQBsmsb+PazX/LoY6dants6+85aocH+/PV2lead2hnu3QXL62B0p/DtExB1Kacn6ZTaI3KO+WIzGw7rwba+XdwWxT5NQJ1CljvWzgm86Hc7CLXUjhnBudxpvde0RGDNklBa3O9hPssOhJzTbUfWaI9Hep855WM5bmEpn504yLSdmWcQ6Fq4unDB2nrIk5BFDRO6RpniWO53pCSdUttNEw20Ne4zc//eGDav1ZBK8OLqRqaumdLiqrcot0uEUjrj/0ialXGflvLSNPOIezQrXwZfJ9QqnmbYcss7p8GuJpizH6bkQUHbAoeJqtABPPc7AuxYZrNjxgBO4PX3h37SSqmNgbFAEK1V7WrTWmb2sVuJJBx2rejADZVU52VR0afQ9nXaq+hGjAof0eftn4ne3YPPbkxjfK9N6Et92izDk8iWGtxzv70hrRRn8LpK1g3r6bYY0XFBAb+Rk9AfdEGe2Ou2NBGh2BvO8oa0gog02h1wmacHRbuDl3Nt05c2oWU4y0bf2mj5guchG4eHrLLjwl03+P9gjNIPXF9J6ZDI1ocONc/bjFAW2Mw7ioT525bBzgI4bTP85wCc1bn1sQTGrQmtom45/hFQIF31eDkdaF1WN5JgTrjhFOPDF6zUgRlEa2cda1mjzCx1M9AmeMgs+J5OY/wR+e3P/8XrF49h0fiBrdrYmdppVcq4vf/3QDppREsRLT1I9VkV5JUNgLTYurXpxWsX2ygEGJJOQ/po//uus9V27cW/aff9jHjud4ozaMMuNg52t6i9I4zp5Eu73Jk8Ncw89zsKInG/Q5XBsToWsNiBFTqM5ZA2nPlMmyqbAfd+w5nP+NzsYbhK0a5qMhqa2NXDXlpocAAyYKHtZO5ZEcobiTRqXnBxNvxhF3p/z5hbaydwywlOaUttXI4nVP843LHAZiS4Hx7JEFfEkeAoGf/RBpaM6x928kYwwZNOAu+tyhwbj9kluNpIYAuF/raHbxWRm7dDQ2J3G73c7xhh7OcOfvvKQ/ndFv28wDErBTYOaQVeBx7mDWc+06oiR7wxU6oT/m8D884b2fI+WFnNprGC7/8WyhpbzeCCyIN9EVGYjr7YB/lhOXJVOfpEb8hJULukgDek5eE0+7vkkL/voNtiOEtuGjqrBDqnIZeVwf7E7WOr2tucJqUstd2J/dA22m23v2312koesN8HdTQ1U5Ve5fv5OGhWVqgsPDuTU8xWCTVOcjG+DkW7ih1kCvpIL+TWHcjN29G/FTO5z5gEG+IS1MEiCSKSjq8CZpmqnhuqbVIrdaQBHOODZHwdTjnNsDOWHamCOqXQGfVNTPvbp+TU1FvmfAcInkpqV47gRQ0CWBV4dJw0QX/XEzlnC/x5d4IptB9nrfCPgW+AsIudxbLwoNlaWl2Bl4CBQClwiaruiZUMHQVpUk5+by1HLS2j+84DDFm7g3XDevLrP36b5owU7mFlCfp0MXLhVqhR34qdsV6Z0y7qXJqoiPQFzgHuAX4Wrn0sLfUs4BHgH4Z9twHvquq9InKb//0vo71BJBbFGMiKxPWzssTRWPdYMfLJbZw0dx3vnHUES8b1o6zfibaLCtrJozerR25npZK4zPLqn4nO649cW46ctQX9fQ841mIp3njjnKV+ELgVyLfTOK5raQHn4ysbDPB3YAHtUGo7BB7GcBHp4FrfdrHjhseagfN38cVdA8kZ10B/9tCfPZzAhrDnWSldmx+9oL72s8P7MG1160ooYH8xAAhfpDCiH+Bu6ejLfeDVKuSHFb73j/RqMwEk/ti21JbrU4tIwNtdLCKT7Fws3n3qXqoamNBYgW/hL492suvwPLotP8D2cbFZW7oFVUo+3scZ2sDhsyrJ2tdI9v5G/rT+JQqraxmVvo0D/bKpOK6A7ccVUNW/U8Rj5ADUK4PerCS/tBahGs1PgxNzYUy2ddKJCFxUgI7PQX6+nbRJm2lePBBK2q7yETfsr8oban3qk4DzRORsoBNQICLPquo0q4u5FihTVRURSwcl1AJ5scCOpTWLkieCG75nRC5d1ravSJ/Ragdb0UCedslH+zj+pxsZfH5nVqzuw4H8bIb230GPUQeo75LBl537U7C+luJP93P0Q1tQEbYfV0DFOJ+S7x90SMnzN9XCR3uQd6vhoEK/DHRcDhSls+OZaoYBO8YWoPlpyI4m+HEF1CiclYee3RmOz/ENyG5phIW1yKe1sLDWN8Q1PofmGd0559hjaJQ0d4JoDo1Tq+rtwO0Afkt9SyiFhvgr9XYRKVbVchEpBnZYNfS7HzPBN6HDSSEiTQ4xZqbFIvWzPXOs0+qaOXx2BZ/fMTCi82YsPK9NDfJQaZvT8yuRueXozXl0vrGIj6p8P7SXLLy2ldu9fVwBay/tBarkbz5Ir8/30/vz/Zzw+GZoVBieBdubfOtQn5mHXtMFCtNhfT2y6CDsbaLn1By4sgs90wXI9XdNfdlkvHUAmVEJ6+p9ilOQBifkoCfkwHVdYGhWizV/67qvLD+/1f/ZybriHaVIwlzg+8C9/r+vx/n+QORDLcZMtEA66MiB29ptpZ0Y8in5ZB81PTMpO7UoovMizvpaXQcf18IffT2mwMM/3RCAbIUIVQNyqBqQw7qLezGo806fVd1Y76tiMjrIlT4uB73sUCEH0z71sCwY1hX9aVeoboZ0IFuicvGdKlYREoeVWlUX4ItDhSTea2ndC8wRkauATcAlsbp/R6G2Wyb5W+rI2V5Pba+s2NxE1Veu99oukBflEJkI9M/0bU4QrRzxJNUKD4ZYS+v0WN3TLtFax6lrpjD0isUA1APBa9gbSwobkzmsLPqc8rbuXqQWZNdRnVl1eW9Ou34Vb716ZHSBKdrK0apf/fd9UNoAj/VuKalstKRGt90J97U9ltNu1Nxs+dpDE23av+wOgHXEKLYkdUZZgEin8EXLG8PmtVJkYxXS4Hazq7q3WbOr5RrG6znAqmm9OfrhLWRWN9HQObKv1Ozhb+kWqMJDe6iZXUXunGLISWsp+GB2nlP90WirpERLe6uzmKICLq2llQQ+jEc4Br+xky2nFkWs0CFR9eVW//sA/55zJAyJkWufyqjNzWGS2lKbua7x+oWfumYKb/UO3aa9+eVWrnjw55allejZOY5GbofO2QFL69B/9eWivP0h24aSzaq9Vbvg7y8Sl95qdRCz8+Oy6J7nficfZq43hK6yEhO+roPru7TrEkbleSNzLvKnLbz+3JHsa86FKnvKalf5zPrvxmNWimynv2y3KxZcdy0meErtETXbG6GPc5lT8sReODOPfYfFPuknZXGxSEJSK3W0rrYTbmqk5ZHMAmWRuJaW7fY3Qa1CYWThkVD31ssLkB+U873HVqO3dIV0Ia33mpbjwR6Knei38ZidksJ22tg9ZrYiSKwXrwcv+m2bUMvu2CXSPqATmCm6I/d+rQrOzIt4ymEoBZs9qC/T52ew/epdNF1eyfuPDee7NlLpjOWVofVnjtf/uT1MLhntrFueqEotIjcBzybKvOdoFTkZHirbNClsboA3DiBP7UUfDROxs2B2VXfTgNH0/ErIz6DXKz2R6yqYdudK9JHetip4BobzEhmrH/X525Y5KrtbltqOz9YL+EJE5ojIFJEosxs82sfBZnhhH3L2ZuSw9chFZcimBvQfJXBKjPq+GYL+pRdsbkTu3xWbe6QyKvY2hwlrqVX11yJyJ3Am8APgERGZAzytqusdl8ijLaX1yEVlMCILvaUbjM+B3PanGMxYeB4btpmvHtJCTho6qxiZutWX4nm5+UJ7RhLRKwrubsRcxhiNQdvBVp/aP02yAt8c6EagCHhFRN5R1VtjKWCkJOID1S52N/nK4V5fBFd1ifj0UMEru9VgZmf3Zvqzzch3tvLfom6cflZjwrvYwZiNf8ecRHW/ReTHIrIYuB/4GDhSVa8HjgUujLF8HZfqZuSeSuTkUjgtD64MbyFjypAsdGYxJ9+yFr6pc1eWJEGa7W1OY8dSdwUuUNVNxp2q2uwvteIRhqjWUX5yL/LIHpr/2RdOiL7mVjjPJSLPZnwOX/x6EKdM20jOSz1szQqLV15+QpKo7reqzghx7BtnxQlPMrrX87cti7yW2UX56IZ65OX9vgIAEWAV1bZqG8Dqf2vcv/Hc7uRtreP0a75h3nOjuKx4T5sJEVEvNJ9CiHrj1ClPxGmjfTPR64qQ6yoivtf0/Eqmb2tnUkuo9rdkIRUZXP6LFeisko5tjUPhLbvj0YZGBRfr5lkigt7bE5pA7tzptjSJizdLyyMYmVcNYxOkhnUQsw/2IPNPRVx88mJevmkYDfneoxSM5357tKaiEWbtRef3d1uSNgTc7IbOGWwfW8DgNypZfbkvqy3eBQ4SFo1NZNsOnvudoMgDu+CyQuiXiP73IZbc0p/Rf9nKsBcq3Cufmah47re72LEucYu8VzbCmwfQTwbG534R0qp4w4juZL9RwvgflNFtZTXP/WYQeEVSfCRq8kks8Ce0rBCRlSLyEzdkSGg+rYXjcqBrutuSWGIcrprdvYTnXxjD0KpqJk9fSc6OepelSwwCw1rhtrDXEekkIp+LyDK/ztwVqn3clVpERgE/BI4DRgPnishh8ZYj4UmyjlFj53T0qWLKJhZxzoVf0X1pldsipRJ1wGmqOhoYA0wRkfFWjd1wvw8HPlPVGgAR+QC4AF8aalyIdyAn4tUg+mf6plbGkEDRA6uSTOEwl11YfkNfdo/I5bTrVrHklgGsu6hnO6RMchxyv1VVgQP+t5n+zfLqbij1CuAeEekG1AJnA20mScd7La2EorIJesT2q2muGEZa7zXtVm5o+6O19bSuzHsuh9NuWEW3lQf4/I6BaGaSuR7txeHot4ikA4uBw4BHVfUzq7ZxV2pV/UZE7gPeBqqBpUCTSbuYraUVLeEsvGOBtLJG6Bv7r8aoyKHKFdnFOJy1f0gOb71yJKf8fC1nXvE1Hzw8nIPdEjuS7zj2n1rLpWxbLqXaBIwRkS7AayIySlVXmF3MlZ9PVX1aVY9V1QnAHmBNuHM6ErK1Ae2T/AMTDfkZvPf4CLaPK+CcC5fTdcWB8CelCEJEgbJKVR1r2GZaXVdV9wLvA1Os2rjy5IhIT1XdISL98fWnLTv9HZKyRpgQ/y5HwEIbrbZxf1SkCUt/0p/dh+dxxlXf8MUdA9lwfo/2iJk8OORfikgPoEFV94pIDnAGcJ9Ve7fMwav+PnUDcKP/18dVjAUNjURSEy2aovZmTCmtYOn53TgD82CZ1VKz0RCswEbapcxBbJ7cjf2Dcjj1hlV0XVnN2kt6Uts9k/ouKeqSOztLqxj4u79fnQbMUdU3rRq7otSqeoob900G0g820XVVNbuOyAP2ui2Oo+wdlstbrxzJib/ewOnXrCLzQBOLfzmAdRf0iHphv4TGoUCZqi4HjrbbPvk7bilCl7U1HPbKDgo31LJ1UhENBfH5asyscbQW2s5QYX2XTBY8MhzwfeZJP1pNp8oGVlzbJ6p7JjLehI4YY/XAWbndZsejdcXtXPu+215h45Du9D5uH2su6xXyvEQrFBHtfOq9Q3N5768j+NbV37B/UCc2n9ktFuK5R0dKE/VoTd9Nu+m7ZS9P3ngKK3/Yx9nVKxOc/YNzWH5DX4a9uJ2sfY1ui+McdidzxEDxPaV2E1XGLdzIb+54ixenj6MxK3Fzve0QrQex7aRCMmuauXDSEs6+6Cu6rK1xWDJ3cCr3O1JS2iTYcQcDLnU4Nzy4jW1XXJV+/93D3mE5DJi/mz4f7KH8hEJ2H5HHfY++Sn5VHWtu60nOGfVcIvau6WT02wnam3ZbU5zNf14chTQph726g29d9Q2vvzk6bnGFmOH1qVMTaYbTblwNwKYzu7Limj70++9uSj7Zx3PnHs/7Zwznor5LXJYyMdB0Ye0lvei2sppj/ryZz2YMdlukduFWkQRPqWOMpgvLbuxD9t7Gloe0bGIRAO+WH+6maAnLkp/249tnL2PrhCLKTi1yW5zoSPQVOhIVJ2dbGd1pO654JJSe3Z1Tb1htec/2JKrYPR5Me931WM50q++SyXuPDee061bxye8PY2sSKrb4NzfwAmUxJq2+mSP+to3a7imaORUjKsfk894TIzjptnUUbKh1W5zo8KLfqUXB+lpyK+o45o+bya2o592ZI9wWKemoHJ3P11cUc+QTDq4ZHUe86LdNEqVSZcBFN4uCH/OHTQx5fScoVBdn8/6jw1tK6Ebi9ob7rO3JV0+U/2M4Vl/emwu+tYS8bXVUl2S7LU5keH3q1CBnez3D5mzntflHU9fVc7nbS31hBusu7MkRs8r54o6BbotjHxdLBCe1Uju53ItTwbGiNTXsOqKzpULHw0JGm9qaqHx9RTHnTV3G8uv7UFeURD+UXppoaqDef9Rxanpns/mMrgx/LvJ1xdzErT619wg6THVxNvlbDrotRsqx4qo+jHi2goyaNpWvEhevmH/0tCou73IAaP/ATmTvaSRrXyP1hbH996aCa22X/UNy2HFsAYe9soNV3yt2WxxbuDX10rPUTpMm1BRnkVdW57YkKceKa0oY+cw2pMGlCFQkKL4iCXY2h/GU2mG6L6sie08j+4Yk5mqVyUzl6Hyq+ndi0L93uS1KWCIsPOgoSed+J4qrbeb6ptc2cfIv1vHZjEE0Z3u/l1aYjTTY7UqsuLqEox/ckhzFCzuS+y0iP/WvCbRCRF4QkU5uyOE0vT/dT22PTDZNSbEKHglE+YldyN98MCnW6xJVW5vTuLGWVh/gZmCsqo4C0oFL4y1HLMiqbqK2h7fkYyzRDKH8xEJKPtrrtiihcbHyiVvudwaQIyINQC6wLZqLOJl8YuX+RZKUcrAog5zK2K6BFS+cnqkW7f3MvpeyCUX0+XAv6y9I7HW6Okz0W1XLgAeAzUA5sE9V3w5uJyLXiMgiEVnUQHJEkncfkUfXldVIY0KsEpSybDu5kOJP9iX8/1ma7W1O44b7XQScDwwCSoA8EZkW3E5VZwaWIckkORL5u35dTXOmIM2J/bAlOzW9s6nplUX3rxJ8GR+H3G8R6Sci74vI1/5Y1I9DtXfD/f4WsFFVdwKIyD+BE4Fn7Zwc6SoYsSJ4llbRqmpO+fla3n90OM1Zkf1W2nF1I0k0iXb2VrxdbivsfNayCV3o+94edh6dHweJosDZ4apG4OequkRE8oHFIvKOqn5t1tiN6PdmYLyI5IqIAKcD37ggh2OkH2xiws/WsuiXA9kxrsBtcToE67/Tg8Ne25HYiSgOWWpVLVfVJf7XVfj0xXL1Azf61J8BrwBLgK/8Mliu8pcMjL1vE7tH5LLh28kxRzkV2HdYLvsG5TDkXzvdFsWUCJNPugfiR/7tGsvrigzEtwRP4qxPDaCqM4AZ7b2O23neAKWvdGPyuyu56elLOVe+Mm3jhFvr9DUiKY28srSk5fXIgVENVMQkT33xLwZw6o2r6fHlAXYe3ZntxxVQNSBxMvkiiK1UqmrYL0JEOgOvAj9R1f1W7by0p3aQe6COmx54jwd+fQY1nZMjmJdK7DqqM2/+6yiqBnai3/t7OP/sZW6LdAiHx6lFJBOfQj+nqv8M1Tbp0kQTiUueW8QXJwzkmyNLwjf2iAkHu2Wy4po+ZO9p4Dtnfum2OK1warjKH3t6GvhGVf8Urn3SKXUkecNOrDltVTo4p6aes+au4IZZ3w17v0hwwtW1QySyOiFHzKuxKGiiLYfrXPT7JGA68JWILPXvu0NV/23WOOmUOlHoX7qb8j5d2NWjs9uieACddjfQkJ9Ya5E5NaSlqh8RQRnxlFBqNwJR+wpz6LK7BlTbvWB6vKxzotDe78vM0vdYeoCdo8P/wIaqAusoiu/ZcAEvUBYlFSUFpDc107Oiym1RPFQZ/nwFmyYn1uy4DpMmmiocvWgL2XWN1Gc75+wMvWKxY9fqSAx5bSdpDcrmM7q6LUoLXpGEBMPoDhsJuMY9y/fzi9/O567fn8verrmO3XftrGMZGd2ENUusPkuAZHf3u6ytYex9m5g/eySkHeoGuZ7yquqa++0pdYR0rTzA/976Oi9NH8fK0ZaZeh5xQBqaOfH29Sy9uR97hzn34+oUHWbqZTLTbccB7r35n7w75XBev3iM2+J0eI5+cAsHu2aw+vJebotiTgcrkhB32lsEoU/lHn577+vMOu1EnjxpgqmbHM5tt0O8IuHJ7HbPKR9L9x1VfP/JhXz3tavYWxG5lY7HKiZuWeoOo9TtIa+2jufue4pZZ57I3848yW1xEp76SeUAZC2IXX3u0Uu2AtC/dJejcQ3HUKDJ61MnLHe89G8+Hz7IU+gEYfTiLVz96Ef8fsYUvhrT121xLPEsdQxwou7YySvWMmnZas66u3WxiXBRZau24dxeJ9xiO7JFIn/EzPJd2+lIfl5VHZfO/oKJ/13D7++awvJj+jly3Zi54l70O/GY8NUa/vTEHG6+/lL25yXOlL6OyKlvr+Kqxz7isxMH8eMn/x97uuW5LVJYPEudgNzx4r/pXlVNaW/35213ZKa+sozzX13Kb+4/nw3DkqCIP8Qssm2HlFBqK1dyDtG5VQEX+JezLmTio2v48+MvcdntP6Q5rf0jgGaueDJHokPhRCQ/vbGJ//fcIm578DtsHRD7jDGfK76w3dcRQFwKlHnj1CFozEznkfNOBeCH//m/iNI4vZRPZzhr7grWH9Y9LgrtNB1mhY5kozktjZ9dewk/ePsTTtGtbovT4Ri9eCvvnHWE22JETgdcoSMuGN0/oyseyXkAZd2LuOqn3+P5GTN5oe4sarPDL62zdtaxpvuHXrE4puO30NrVjWmUOwI5ouVAfja5NYm/blZb3Mv9dqOY/3ARWWrY9ovIT+ItRzD1k8pbkiaMdK49yBMPzea1//0rkpvW7h/WWCt0KnHSgnWM/WwTO3slaG3vMHSYWVqquhoYAyAi6UAZ8FqocwqpI02baZbof4PCWiz/2Cqlh3aV7NrLzIdms3RwP8Y/eBtpqhz0W+lkCW7F22o79X/pvqOKG//0PnfffQ5fH+WT20z+hP4eOug49enAelXdFKpRAXXM5B1e0WEsrOlGbW5sV5bMrm/gkg8XceHHS/hi2EDu+u657a5u4hEZx3+8kS9OGNii0EmHdtzo96XAC2YHjAvkbSCLxxnNeMqZdfHfuPahD8iJUT8ru76BGc+9ybT3PmPe2FH8852enkK7wFFfbmXZ0YmbAmqLjhYoE5Es4DzgdrPjqjoT/8odBdJVF0lvFtGbnrMLueYvH3LjH9/ngTsnOyrT0K3bmfnwbFYOKOG7v7yKysJ8OOfQ8Xi7ek4XOIh2tlh77hnNPfJrDnLUF2XcdPFl7ClN/MwxK2IxXGUHNy31WcASVd0eyUl7u+by6M9O5fhPNjpqrY9et5nn73+Kh88/jR/deLlPoT1c4dzPlvPxEUPYk5+8Cg0cqn4SbnMYN5X6Mixc73BU52ezZUBXhq7a4Yggxbv28uSD/+AXV13Iaycd48g1PaJDmpv53n8X8tKEcW6L0j4UaLa5hUFEnhGRHSKyws6tXXG/RSQPOAO4NtprfDTpMM6a+xWLfpbOUHxDUVZjw+E4+4uv+O/Rh7Ng9Ig2xxIxuhoPmZy+h93I+6Tla2hMT2PBUcMcvX+8ERzNFpsFPAL8w05jVyy1qlarajdV3RftNf4zdRQDN+ziZl3CeN1GD62J2pVZMbAPk5avoeceyzXHPOLEZR98wYuTjkuN4GRzs70tDKr6IbDb7m3djn5HTW1eFnf8+TscvLwL57GeR3mXmQ8/S15tXcTX+mzEYD4bMYhJy1fHQFIPOxyzbhP/uP9p+u/YxWsnjnFbnPYTmftteylbO7g9Tt0uPqoaykeTh8JkyGxs5MHHX+I31z3PU3KUqStunGQROD70isWsnXUsRVXV7DYJzLi5ekYiuv6RYNflvvatD/j+fxfy8Pmn8erJx9CQkdSPZQsRuN+2lrK1S9Ja6gABRW3IyOCPF57JhKKKVgprZO2sY9so+9pZxzL++x9xVGkZnx4+OD5Ce7TQY28VN7y5gG//5gZenHRcyig04Fr0O4X+g1DetZCiAzURn3ce65k7fjQHcjrFQCqPUEx771PePP4odhQVuC2Kw3jF/G0T7NIZLW96czPaoC0utfFYYJ/xnF6793H86o2cxUbOPbt1DTKP9mPVfQh8h9n1DVz+/udcevsP4ylWfHCwmqiIvABMwtf33grMUNWnrdonnVKbEXCzM7SZjHRl3VNHt+wPVmzwKfWdz73JhR8vYVW/3lz9qyso614Uf8E7OOd9uoyVA0pYX9LTbVFiglNDWqp6WSTtU0KpAzRKGtuLChi0fRcbiq1rWY0sLWPKohWc8sCtVOV6LrcrqHLl/I/53aVnuS1J7PDc7+gxWuMvH1vDmPVbSL99M2tnHdvKOge4at5HvHPMEa0U2qwdJH8EOhEZOXAboxdvIb25mf8bNTSq8xMeBZo9pbaFWUTbyMdHDOHMJV/zz1nT2hwfesVi0rSZiaPWsGhFAUPfbdvPdhNjkYZUL6Zw/stLeWbySamRZGKKFyizjdH6Qlsl/1qb+SXr+MP8l5Fm6FZ5gMyGZrrtPEDNuCz6bt5DaX43Ppo/jqxOmRGtiRVrshYU89aEhwE458ObXZEhHpRs2cPwb7az+q7ejMxOAqsbLZ5SO0OtZHKrTuDUzL3UZ2dQOrgbuTX11ORlUZOXxY5e+Ww8LElqR6cg0qzc/If3ePXSY6jPTrnH7xAKNNmYrREDku6/alZ6N9jFLpVCnruy7eSMZCBgod+a8HBKWuvCvbUMWbuTO/78HbdFiTEK6il1xASUORA4qZ9U3tIXDbyOpp9qDMQYrxlPUlGhA6Q3NtOcnvTJjOHx3G+PVCfger95wVFuixJ7vOh3dAQnlxgtauB1e61sqkeh40XRrmq+99SnFOyr5R9Xp/DYtJEOWM6o3QQPQ5nV7fZwlx7bq7juwQX89fvPcbBTBr+5/zwaM9PdFis+eBM6PFKFzLpGfvDEJ/TYUcWoZduYf+4RXPePaeztmuu2aPFDFZqaXLl10im1WS43IVxtO4Eyt4JhKYkq1zzyf/Qv3c28qSN56NbTOVDQQVNxvUCZPSJdTdJK0c363x7tI39fLb+4+206V9Xx6wfOp6ZzttsiuUtH6lOLSBcReUVEVonINyJygt1zjZbaLLXTak2sjpSC6RZ33/I6W/sVcdtDF3gKjfqi33Y2h3HLUj8EzFPVi/xF/TtQZyv1yKpr5Nb/nUe/0t384pGLUjtTzC4K2lGST0SkEJgAXAGgqvWA7ar8xmGskQO3tfSnwTz6bbXPs9bO0bnqICd8tJGHbznVU2gjHShNdBCwE/ibiIwGFgM/VtVqYyN/RcVrADoZDHmo2VRZQQqetaDYVHk9hXaW3d078+fbvsX0pxay8qgStg7o6rZI7qNqq/xvLHCjT50BHAP8VVWPBqqB24IbqepMVR2rqmMz6ej9s8Tnv2cdzusXjeHyWZ+37Muqa3RRogSgA41TbwW2qupn/vevYKLU7cWzxvHn3SkjuPj5xdx61zya0tM47Z3V/P3q8cyZnuRL6ESJdhRLraoVwBYRGe7fdTrwdbTXcyKLzMtEc4Z9Rbn87K8X88X4gawa2ZvbHvwO5726jM5VB90WzQVsWukUsdQANwHP+SPfG4AfuCSHh8OU9+1Ced8uLe83DunOqKVlfHrKEPeEcoOONqFDVZcC7V6RYGVpCcwqMa1eEkmE23PVY8fubnnkVTu35HCyoIC6lCaa1BM6zAgkn1hlknmudnyp7pxN3oHI1zdLetRfJMHOZgMRmSIiq0VknYiEjEF1qEFFzyLHn71FOfTdvNdtMVxBHXK/RSQdeBTf8s9bgS9EZK6qmsaiUs5SeyQWfbbsZdOgDjpu7ZylPg5Yp6ob/MlaLwLnWzUWdSnpPBJEZCewyW05TOgOVLotRAxJ9c8H5p9xgKq2qzqliMzzX9sOnQDjEMFMVZ1puNZFwBRVvdr/fjpwvKr+yOxiSeF+t/cfHCtEZJGTS5AmGqn++SB2n1FVpzh9Tbt47reHR+JTBvQzvO/r32eKp9QeHonPF8BQERnkz+24FJhr1Tgp3O8EZmb4JklNqn8+SILPqKqNIvIjYD6QDjyjqiut2idFoMzDw8M+nvvt4ZFieErt4ZFieEptExF5RkR2iMgKw74/+OusLReR10Ski4sitguzz2c49nMRURGxO+6akFh9RhG5yf89rhSR+92Szyk8pbbPLCB47PEdYJSqHgWsAW6Pt1AOMou2nw8R6QecCWyOt0AxYBZBn1FETsWXnTVaVUcCD7ggl6N4Sm0TVf0Q2B20721VDZT3+BTf+GFSYvb5/PwZuBXfxKOkxuIzXg/cq6p1/jY74i6Yw3hK7RxXAv9xWwgnEZHzgTJVXea2LDFkGHCKiHwmIh+ISNKXafHGqR1ARH4FNALPuS2LU4hILnAHPtc7lckAugLjgXHAHBEZrEk81utZ6nYiIlcA5wLfTeYHwYQh+Cq/LhORUnxdiyUi0ttVqZxnK/BP9fE50Iz9iRgJiWep24GITMHX35yoqjVuy+MkqvoV0DPw3q/YY1U11WZt/Qs4FXhfRIYBWST5zDTPUttERF4AFgLDRWSriFwFPALkA++IyFIRedxVIduBxedLKSw+4zPAYP8w14vA95Pd4/LSRD08UgzPUnt4pBieUnt4pBieUnt4pBieUnt4pBieUnt4pBieUnt4pBieUnt4pBieUqcgIjLOP8e7k4jk+ecJj3JbLo/44CWfpCgicje+IvE5+NYD/73LInnECU+pUxR/Kdkv8K38cKKqurMEo0fc8dzv1KUb0Blfbnonl2XxiCOepU5RRGQuvgkKg4Biq3WXPFIPb+plCiIi3wMaVPV5/zKon4jIaar6ntuyecQez1J7eKQYXp/awyPF8JTawyPF8JTawyPF8JTawyPF8JTawyPF8JTawyPF8JTawyPF+P9N6zrD+96gsAAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6212,7 +6210,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6224,7 +6222,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6236,7 +6234,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6248,7 +6246,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6260,7 +6258,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6272,7 +6270,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6284,7 +6282,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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wBftaKaCVfAIU0EpfDnD0qq3MeWEO9/AFHnzof+z7sBxbNreGwgG9QseOGlbLiqoxofTHVEXXzBCRNjlCC0e+Zvd+SFY6I9cdZX8EFqrqhcGaWlFzfGWdUDvZCBFN2O3enw2ETVGCrmbzZtY2Ralh/hLD6RSZd9taOGBeRTlzGUL1Q23zY5P19GJ+1Tn0nv4AX2QD705/h+UPnRh1XEcNq2VAUQOf5Q8I9dMEUFVmk6vMENJo69R24aPR2tk5Ud1GEdfMbxHpBZxOcLqvqk0Evyo7/IgyH9f5K8dwLFu5j5fits1vbqU5N+t0C5BQRFl/EXnf8rgioqtDgK3A30TkPyLyQLAMjy3Z+W0GidTCdktMmaKZY3murVg93RA9ttlu2W7WW0FPclVZWETWiBlL28zXleHOKKsJb2rXA5LHT/Q0bi96kzsffJI5k05hw4C+7O9m5C2zatDRdRuQryiPjZ8eNh5Tc8+jvJ3WtjPH43m1zUR4qdDSYGxmS2BJa1uc4JM84DjgGlV9R0T+CNwI3Bqtcdbi5RKT2zgRaGjzatu1t7vJWZ+by0rPjlzIpLJRrKk1BGB41cwwIaOqTehmVU0Nm4+bJYGqgRebxvPB5T/nktfe598M5U4xTPHK2m2hm84XtJpVTw+GYKqzyIQLkXPxeRXltnm/7TCFv3LinJSFh5oYjjLXwkQ3AhtV9Z3g8ycwhNqWrBbqTCbR5TSrVopct7ezUOxiv63lXhfVLgtp6jUT5zC8qk1rW4l0QoW2Ngb5GudyN6/wKf1Cx6xBKft/tZRzWz5iwfS+BCQnVFbH7GPEjKW2qZMiP08k1n0AXuGWo0xVN4nIBhGpUNWVwFnAJ9Ha+0Ltk1QOo55WcniGQ21fv/zaShbO+yO/4A16aRO5P8qjx+QDKR6l+yiuJ0C4Bngk6PleA3wjWsNkZhO1K5D3W2AKhuduNfANVa1P1hgyGbemCpFBOJFYc3dVlhia2tTipqazW0EI055VxjHTMz2Ptn3YR7ON/zAgrGgehM9tHz2pgh0/Leaj4UP43R8f475TH+HUWqP98MUzGb44OKdeGT6nroyhiSO1tBdTLzeXtFT1Q8DRpo9kauoq4F7gYcuxF4GbVLVFRH4N3AT8OIlj6DJEW8qzVgm1Ho9letvFrpuOJjPR4CTaEg+aAjSpbBSzqqaGtmPmaIAprOZ+ws3myPn+pYN3Mvd3uZzKZ2yvLuHttw9l7VSj7NqaiXPax6t7bFY7wcj7nWVJElT1NQjfUa+qi1W1Jfj0bWBIss7v4z25KH1o5COclXQF2HZsD0755DNymrwqL+cWRoUOJw+38XJOPRN4LNqLiRTI8wnHuvwVq0poZcm2kMltZcqqyXH3NJuOLquZa2px68aNxXowX2I9j1MROj63oSaqOTxm4H5yPtnCSZ8egFOLHC/lpRtGimBvkiR4ItQicjPQglFPyxZVnQ3MBiNJQoqGlhVECoFdogRzrm0nXFZTHAwhN73R01bWMI/y0PNJtAmdVaBNNlFMSTD4KdZGitA4GgLoF7rBqUW2nyVTUBXPzO+UC7WIzMBwoJ2lmZB2xadTHM02FjHMcXt5cz86qUfyBpRCusR+ahGZDPwIOENV96Xy3F2VaKmZTC1t5zibXzeWZ0cuZMqqyUBQcwe3Ow9fPJMRhJvY1vVj6xp1rgY4mm38knG247KNeivNQ97ch15QAkPzO/PRPcXYT51lWy+jFMi7CegGvCjGEsfbquoXyUsR8apstu1OM8xvqxluDUSZxKh2QShWTIGfPP0lNpT1Y9kdplCHL63Z5TnTm/sjt2xB7tiG3pdACpS0Iwszn3hRIC8W6RBhlA5ES7FkJ/BWTW1+d8MXz+SoJW1J8yMjyKBNWx/BDtbVFobm2tbIs6gOsB456G0DkNFrYXsr9At3NmWK48xY0soyTe3TtSnSZr5CNX+OWKN2xKK90DcXCjO3DK7Lsd8JkfVCbWomX0s7xzTFI73g0JZPu3JkWyCINRDF1NLf4UM+ZCDvSpsJbd1lZW4WMbGa93LvThieD0XtzddM0NImfo4yl8iEmtBekmjOMzvWTJwTlmu9LWS0bT7dfO9KTnqvmvtnncPHh5SH9VtpiUAL9WkKeWMA1jTx5eqp7C0ryCghtmJsvfTG0vCTJPgkhe9f+VWqOIr775lHv917nL8xX6Akh0Ja4rdNc7yqepnxQm3N72zFLJBmRE3FLi+T6rrW2YBVQ1uPmdOclrxcFsohvHbMSC5Z8p7t9MfsI6yyykvfhHN6MJl1SR1/sjF2aeU4erhN1pnf0UxH6/EpqyaH5otO9i1b53s+zqmuGsMlq5cgdS2ow/jvNRPnoBV9uWzRSiofbmBS2YkZaYIbYaL+nNonC5H396MToqbTsufgfPSWfshvtidnUCmhC4WJuk007WnVxiZhpvpI408sLW2uiVqrR/jEJ1QJZcUGeGs//H6Q4/eG4gkaFTSzvN2RZF1EWbJwGkSyYl0ZjAw3na0BFJGYgRbQfkOD3dKOT3QqX1mL3L0DdgfQ3w2CXrlxf7eQJ7wKeHkvctcO9InyqO3THS+93xkn1PEE2iqwwxfPDGnZyNrFkdiFRI5gadic2077+1hoVsNkfn4P+uuBTL54HKtyx8Li2L/b8MUzQ9lT1pz+AHL8ZvSBUqjolppxJwnf/PbJXFY2IvfXw+K9MLobumAI9M9DpQOa6j+NcFA+nFjo+jBTSRJylDkm44TazoyzBkKYmrlpfB3VVWNCmnX4OnsNHi1qCmDuyv7MrxvLfJu6cb5HPMgre5FrNqNX9oaFQ8N2VhnzYWNOPHxxW5phc55sNw360Qvj+O2wRZ0eltcx4gq0+JraGZFCFFmf2txoUFm7LZSwDoI1moJlT0fMWBqqWTJ3ZfRc2JUl25hXUReKkjpqWK0vzFaebkBu3YrOKYUT7DWrXZphU9DtvkP5cDvsb9NwHRXOdHCw+ea3T3qxoxU2NsNhBe1jsJ9qQObUQ00LOr8cjnBv7quHFyCvZsFW+yRFizkh44Ta6qU2NW+lxattvftb/1+xrqzN+10V3RM7662pof6mrJrMotqFIY3fNL6ONbVdwFH25j7kqk3GtsfPm+FLxeg3esOx3eDBemTOLvR3A2FsdyiJvhPJWuXDSuTvFHreosjt29BfOgtU8drEjoXbSRJEZB3QALQCLbHK9GScUK9YVxaaD6+xCJ8d1osnmhDHiihrGl/HJEZx1JLg/DvOBRRrWSxjeG0f8p1N6J8GwRnFsKsVHm9AfrgZ1jfD+CL06SGGMytBov0GoeOfNUGewITwdEbWjR9WIU5XgTZJgqb+oqrG3ZGTcUIdczlqpLM+RsxYGkrPE5lpM6wwHEvDnD2RN49oghtPoK2OvbRiVRNy1Sb0wVIYF5wj98qFb/VGv9UbWhVynV+o1s8XqVVttWxNCwwJv1lEviedtbMVP0mCj/e0KvLdTehN/doEOpIEBLpDBDRrrkhFaAk4dpT1FxFrTubZwWy64V3CYhFR4C82r4fIuK8wXmSSqXHN4uJ23mq7O300E3xuQ/+w0jRWDzq14Sl/QstnwTFGM8fb0uguS5+AlqcboLvA13smpXtH2rVPLuxs7Xw/aUICc+p4pWwBTlXVGhEZiJHj77/BghntSHUtrYuAnwFHACeoauyM8TbEi8M282CZAu0kAi1S+EPvCZ3KGOb8urGh86+oGsOUVaUx17mtr5kCbt4UTNpl7UwxwxfPpHtjE5/edzv6437tal6ZbdxewltUu6z9NKRPLuzM9MocQdRd81tVa4J/t4jIU8AJgK1QJ3MhrQqI9GB9DFwQbTA+qeeE/67l3zf+HkZ3hy8luJvKbfrkQn1sTZ0pmHNqN5IkiEixiJSY/wMTMWTJvn0y8+mLyDDgOVNTW44vAa53qql7Sl89Uc4CjLt6RzRbNA+qHbFSIrnh4TatAjMgZk2UJTm3add/Y4BdwzbyG47n0YfOjXruZDmn2mnqVkUO/gxdf1jy5+8xyC2tXurAHI5Jz4pBevz9X3fU9uUz/xDzfCIyHHgq+DQP+Luq3h6tfdrOqWPV0oomTJEX7dyG/iFznKrwsi+xcFIqNRGBjpw3h4WojrQPOU2GgLfr/5jZ9O7fwu3LN3M7c6J65aurxoTW6p1Oa5xgLYe7qHaZIcjlebCiEY7tHmqXtqsFMVCEVueOsth9qa4B52lZ0zadkarOVtWxqjo2n8zerZO2BBT2BYy/aYJe2gup2uX1MFwhgDh6uE3aaupoxPIWR2oPq9caonu4rZpnyqrJYf1Enq8jJne8/dl25neyY8vXTHgQmbGVe740nt+/NNE4ZhP9BYaFE7J4XBybdUoUorIXnL7eCHQ5uH2ASyLTKC9Rlx1liZBxQp2IUJnmbSSRghp5kUbOm5PlnTbHkcxNIlFN5Ud2Q20LVz+/gasL5tjumIq3B72zWM3vMBN7WD7UtrQT6kwJPDHRbBPqKLW0dgD3AAOA50XkQ1WdlKwxOCXygo61LdNNzP6TqZVt+17ThNyxHX1qCBRI1HaRc3DzmNvC9WLg8dD/58v/8HSP1TCq/ZQrkwSabNxPHaWWFrR58Xy8oFmRqzeh1/eFkQVej6YdxTRDD7GtzpFpeKWpM/6bi7aZIxaRqYsiC7yZ0WFTVk1m+OKZYdFikZimY7T849bzDF88s0PjjezD7rhT5O4d0DsXZvSKe65oWDWmGznTA5tGhh7zNqwyEvq/uz/sfJmlpYM5ygLi6OE2GTenjsQNE9mIbmp73raZP3620raLzdlFZ51DxztHJHF3OcXj/f0wdxf64kG2kWPR+ozM+2Z9bV5FOZW1LpY4yhP0B32RO7ejT5aDSEYuaYF32UQzXlP7OGRPALl6M3rnQBiU5vfyC3vClhZ4LXOTJSiG+e3k4TZp/usmH3PjxbSVwTRIJeFpkCL3W4el54njHbZ7fcqqye0ccZ31fjsJBpE/7zSSGpzTI2Y7MKYUbZtODKxjtjrKjHYua9A8QW/oZ2jr04syTkMbZKGjLJV0ZsnJuEAXhs0NQ8nog8IcbX45YsbSmBdcNEGLtk5tPVciAh7rhrJm4hwjwKRqF/rskKh9WG8MkQId2X9KhGxKD7hzO3zUCKO6x2+fhiQxAjsmWSHUPnFYsg+OLoDh6eftjkorRpWOggwuPO9r6o7TGWdZddUYcgY/TmUwSsWqsc3YcaumCkU01XbM9Iw3VrfWrK39yEt70Qn2ZredZZBIfHfSShJVN0GxxExqmM7BKIb32xuXVcY5yhJZvnGyfLRm4hwCm9rCzqzzZ2topHluc3nFbinMDaasmuxo3LG+h7BlpoDCS3vhS0VR23eGpAXo9MiB7a0wfzfstt+Oma4CbaLq7OE2Ga2p42UNcXLB5QxeFSbUYRoqOLc2Bei2kxbY5LF298JyKiSxtKjh7AuOs/zP0DMHhtmb3vEcfJ5xUD76ywG8890cxg1ajz5W3q4MTzpravCDT3ySxYpGI7VvJnJBT34qp6Df6I38pd7r0SSE4mw5y1/SIlyzxNJqdlo8WhBDpGaymq9WE7yyZBuzorwnFrGWvqyWQbx5bORGk2iecms/8rNGNMFk++Z70yHoY1HtMtjaE878HP61B87uEf5aGuPVhtaME2orscxvu+N2F0Fg00jWTAzPdhImLCctYF6FUVJ1EqNC1RlHzFhKddUYRzeKWIIarfiAk8/kKMLs0ya4onfMfk2cLqclO0NLOwbkoXPL2Hv2JopriiEnAzziCpqEEFAn+OZ3tvNpIxyRQUtZ0Rjd3Qi73Jo5Ocx887sDuOF5NZet7FIdmdUxq6vaAsNDgSnBAnxWDW2bkZTk1LWOVVkkxJYWaFYodfYzR04DzM8Wb/95quh5UTf47Xb0NwMzQlv7wSdJwKmZGK3NbSctMARnZFt/5hx7VkTbWHPsZCz7xBVoMOagZxTF3bwRSeQ6deT83a4WlvlaMtFfDEAqa5HvbUb/MMjYzZWmmLHfXpDVQh0tkV9kuVrzmPk8WpioNa2PeXE7uaC9Stgv/9qLVoZvsYwVu271Dzj1A1hrfUOSl5l65aL/KEcur0O+WYf+ZTAUpukMUgF/ScvHdfrFr3iRcRTloFVl0CMHubQmamBKOuAHnyQZq3apLNnWbtkq8nWTdia8Ze4dz9xMdKOJq15lVdjQDOeGh4dG9m9XjsjOsoi17GZWHZnCZAqWgOu7tiLJF/TeQciPthim+N9KmVQ+Os2WuMRV77eI5GKUiqlR1fNitc1ooe6MWWsV3Gj5vWNl9XBidic6NtcEujGA3LUD9gRgYuyqG3bmuJNx2PkQIj9vUpe+cgT91UDk3A3whx1pJtBB3NXC1wKfAnGLnSXN/BaROSKyRUQ+thzrKyIvikh18G+fZJ2/S9GqsKABuXELMr0WOWk9VDcZoZV56etM6jQFgj5Yijy6G/nlNuN7SBfUvSUtERkCnAs84OTUSSu7IyKnA3uAhy0F8n4D7FDVO0XkRqCPqv44Xl+RZXcSIVWeWU/53x3Is3vQr/Y0KlwcWuAoqWC0aLZIDWt1fk1ZNTmsyF9afK/bW5Fv18HuAHrHABgTpRSvQ9wou9PtkCFaetvVjtqun35TvLI7TwB3ACUY5aq8Mb9V9bVgLS0r52OkDQZ4CFgCxBXqzmB30UWu8YaV57G8x8lacDrcNOS5PejPB8BJiV3MduGldsetN9JnRy5k0vjwzCiefwf9ctHHy+HJBuTyTcbzewe12wCSehxbSVHrU4uIWTl2qYiMd9JZqufUg1S1Lvj/JmBQis+fnRzTDZYdSFioE0YVXt3HBF3HaYv202vvfuS1Lfz+08eM/+/dAAfnoycVGmMZlp/wGjkATQrP74G1TUijoiU5cHIRjO4WPehEBC7siY4rRH64mZzxnxNYOgzK2lf5SBnOq/LGqk99CjBVRM4BugM9RWSeqk6L1plnjjJVVRGJavvHKpDXWSK1b2XJtpBX2+oZj2xn5/hJB/NTj+yG/LexU34ZR59jyT52Xb6Tr5zfxGtbC9hVXIgenM/agf1p6NmdL1bshc+akNf3w2+3G4I2rrBNyA+1CPnaJli0F/n3XjigMDQPPb4Q+uQiDwVraZ3YHe2eg2xphWs3wT6Fs4vRc3rAiYWGR2hDC7y1H3l7P7y131jiGldIYFZ/zh1zHC2S440TzaV1alW9CbgJIKipr48l0JB6od4sIqWqWicipcCWaA2D5sdsMObUyRyUdfdTZcnCkDBHlsUZMWNpqBC9ozDNVHAggDxYb5jfCWAmebC74O1uXnMb+nP6vB0cfF0Rvb7bh9cblD7sY1LFeEsfhvBqZS9Dq69rNgTurf1w9w5oUagogM2tRh3qicXoFb2hVy6sbkLePwD1reg5xTCzd6icrfHjD4BVTfD8HmTWNvisyXihZ45xzpMK4creMKIgpM2fv3J5Qt+J23SVMNEFwHTgzuDfZ9w+gZO14ciL1lovy0pkWZy5K/uHoq6qq8ZQOXFOSKvPrxub8BKWK0s+/7fPSPmbYMH4NRPnhG5QTqisrUHerUf/d5jx3IzIi5bzWwQOKYBDCtCvBYV8Q4uhoXvmGmV1rKb0CYXopW3Rb7a/48gCGNkXva4v7A1ALtBNOmbipwKXhVpVl2D4oWKS6lpadwLzReSbwHrg4mSdv8swIA8+b4ZNLTA4ST+nqpGu99u9obiDq6AicFC+8XCDjo4jlWRb7HeMWlpnJeuc4Czgw047OnnfrLemMgIjL5lpirfFkIeX8kk0mKPDjO6OTu+FzKhF/zU0Ya1ljjEygWCYFfHQLsOUvm9waHnL7rO5OSXxIlbebaJ7jJJ9Xq8M/wTozDp1MonMbxbL9E+qgO8JIEesRj8ZDiW5ne4uNNYJD8Ifd1L7QCtlz/Qy1r+7AK6sUx88VEt/cq2jtuuvvKHT57OSATaMT1ye3A0Til0R6BCqRmz1C3v48k+v6jIC7Srq8OEyGR377RaRub+cMHzxTNZdFn7M+t5IUzSZJri8cwCNE+OdKJe8+h582Ig+PYSrA0vClvmsny0tI8wckJL8a13E+52WxBPkaGa11fS2kvIcXp80wlW9O9WFdcxrRtyPfH8DzzxyDLsCRba72KzfyfB19vPydCYl0zhfqH06zOYWKHcvckr+Ug8Ti9l1WHIKAHQJPEySkJFCHS3iK1nYaXKnmUFMkuYt3t0K+xV6JeYeiXVu/VpP5Bt1XHbfSvT6vlROnEPO4FWh1wObRoa+kymrJodtBMHeeOmSeOX9zjihjoz+6mw/qVo66Yg57kjon2ow9kznJqYV7Cp6hvaPHwKVi/J45yLhwMs5fPt7ldx8+slh7zN5dmRbxVAn5X3TGddTMaXrkpaIXAPMU9WdqRlSe9xY0pqyajIXl7bVoM5oWtUIOHl2D/JAPfqnwXBa4qaytR6Y7ffaosiVm6AA9N7BjjN4ptqSchtXlrQOGqrl13/fUdu1116f8iWtQcB7IjJfRCaLpGtMXpZzIACP7kLO+Rw5bDVyYQ2yvhl9uKxDAu2IPEHvGQSftyC/2Z6cc2QzKs4eLhPX/FbVW0TkVmAi8A3gXhGZDzyoqqtdH1GSyOgIpXVNyIU1cHgBen0/GFcIRZ0LMZjb0J8RM5YybWVN7IaFOWhVKTJloxHi+bVesduTuRraVZK0Bu0ER1eGGjb6puCjBegDPBHMZNKlcFpq1jV2tBrpcK/qg84rhzOLExJo2zkzhuA5nsr0z0PnlSF3boclex2fu8vjUfBJ3KtDRK4VkaXAb4A3gGNU9SpgDPAV94fkA8DeAHL7NuTUdYYgz4yvIZPKoQXo7FLk6s1GKR+fuEjA2cNtnHi/+wIXqOp660FVDQRTrXQpOmLGd8ir+td65N6dBP45pFMZTaKlPo51LCrjCo0qGdNq0eeHJm9XWLaQrua3qs6KFGjLa5+6P6TsY1HtMiaVjQqFJjriwhL0ohLk8d0Jn2/44pmOz2dWGYmVDjmML5cYu8Iqa40UxD62iDp/uI1/q00RCWvqIfnolX2MJaUEiUyAEGuJqUNrydf0gfXNyJV1RrWMbE5D3Bn8sjs+7WhR8DBvXlRE0DsHQivIrVu9Hk364u/S8olEFu6FsZ3PEJqUJaZ8QWcPRkavhZv6GSmKfMLwKkzU19TpyqYWqKpHr07jIiYlucaa+VMNXo8k/dD09n77eIDctR0u7QVD09H+bkNv7o98tcawIi/rlb5JAL3A19Q+Iba1wHN70O+msZY2ObIbumAI8rddyA1boNH3iIdI1+CTZBAMaPlYRFaIyPe9GENa8/Z+OKEQ+mbIPPWQAvS5oUb024U1xv5uH9eWtESku4i8KyLLgjJzW6z2KRdqETkauBw4ARgFnCcih6V6HGlPptlQPXLQB0rRM4uRszfA0v1ejyibaATOVNVRwGhgsoiMi9bYi0vnCOAdVd2nqi3Aq8AFHowjfTko39hamURyBq8KS3zgTqcC1/VF7xyATK+DR3e523+m4ZL5rQZ7gk/zg4+o7/RCqD8GThORfiJSBJwDDI1sJCJXiMj7IvJ+M10s1nhbq5GkP4mY+dWSItwTe6BPDUH+tBP5yRZoTv801K7jsvdbRHJF5EOMUlUvquo70dqmXKiDoaW/BhYDC4EPgVabdrNVdayqjs3H65KkKaamBYYkf2EisGlk6GEKt2sCPqIAfWEobGhGLq4xnH9dDeeaur+pwIKPK9p1pdqqqqOBIcAJwWmsLZ7M3FT1QVUdo6qnAzsBl1VFZiMbm9HyLFht7JmLPlQG4wqRyRuMcrtdBCEhR9k2U4EFH7Oj9auq9cArQNT9v55cOSIyUFW3iMhBGPPpqJP+LklNC5ye+kyeVpPc7niHyBH0x/3gqALka7Xobf3hwp6dGWbm4NKsQ0QGAM2qWi8ihcAEDGvXFq/UwZMi0g9oBr4bvPv4mGxohhRp6ljmdqeEOZLzStDDCpBv1MHyRvTrvWBALvTJkGW7RHF3B1Yp8JCI5GJY1/NV9blojT0RalU9zYvzZgT7A7CiEY7OQj/C4d3QF4Yi129GptXAngD60/7w1Z7ZGYnmUhyOqn4EfMFp+yyYuGUJKxuRR3cbxdQnFBuF2FOAnTZ2VUNH0icXfTBYpmdlo5GqaWsrXNM3eef0CD/vt8dESxKQqiR68qMtRsjlSYVGDHVXoKIbWlWGfK0GPbQAzunh9YjcxRfqLkx1E6xuRueXQ7dMCyXrJIcVoNf1RR7ehZ5cCL2zZI6d7tlEfZKEKry01ygY//2+XU+gTU4vgn0B5Ph1yDmfw8rsCDby0xl5jNXMtprikWl1E0YVFu6Fwwvg+T3Iv/ehpxXC0d2QP+2E+gB6c384291StBlFeT66YKhReeQfu42lr5cPSplfIWn45neWEoCcmXUA6DnF6NV9kIV74LV9xrLOV0oSroOVteQKfL0XfNSI/Ho7+quBXo+oUyQjAYITfKFONrmCXtcX6ltDF6me1YW1sgP0xn7IGeuNfOdfytDvyp9TZzd6fg9Yss/rYWQOfXLRv5Ui398ML+6J3z4NkQQebuMLdbJpDBhF3Adk+Pww1YwpROeWId/fYqzdZyJdKfNJl6C6CWqbkTu2Q20LOrfM6xFlHl/ojl7eG7lnh9cj6RC+9zuN6KwnXG7fBo/vNu7C5XnonDI/hW5HmdELTloHG5thSHonYWyH7/3OEja1wLxd6OvDoJ8vyJ2mdy5c0hOZXY/+fIDXo3GOeuf99s1vt/m0EY7p5gu0i+gVfQzLZ0e7XBrpjT+nzhL8b9R9SvPg7B5QVe/1SBLCqzm1fwm6TXk+rE9u0sCuiF7VB5mzC/ZlUF5xjzS1P6e2wXFZVzuG58OOANS3Zs/mhHRgRAGc0B0e3Q3f7O31aBzh19LKFnIEyvJgYxdMtJdk9Oq+yJ93ZkZ2UsVIkuDk4TK+ULvNfw4YDp3DMmz5JRM4rjsMy4dn0r8gX4KJB13FN79t6HBihH0B5OpN6B0DoLt/v0wG+p0+xmaPTEhe2JXMbxG5LlgT6GMReVREunsxDtd5cz8MzIPzSrweSfZyepHhiMyAel2i6ujhNl7U0ioHvgeMVdWjgVzgklSPIyk0BGCQ7xxLKnkCpxWl/wYZp57vLFrSygMKRSQPKAJqPRqHu/TLhS0ZFiCRgeiZRcgre70eRly6zDq1qtYAdwGfA3XALlVdHNkuI2tpHd0NljdCSwZ4ZzOZ8cXw2r60/57drKWVCF6Y332A84FDgDKgWESmRbbLyFpaHzca9QgzKD4iIynNMx4fpnkZH5fMbxEZKiKviMgnQV/UtbHae+H9/hKwVlW3AojIP4GTgXkejMU9PmlEvrPJ2JFVkPnpiToagJOqlMqcWYws3ouOLUzN+RLFXdO6Bfihqn4gIiXAUhF5UVU/sWvsxZz6c2CciBSJiABnAZ96MA732B9ArtpkVJsYl6YXWZahF5bA/N3pHYjikqZW1TpV/SD4fwOGvJRHa+/FnPod4AngA2B5cAxRq/xlAvKLbXBUAVzkL2WljIpucGiBsXsrDUkw+CRuKdtQvyLDMErwRK1P7VUtrVnALC/O7TqL98BLe9GXDupwPSgnpm7KzFob5teNDf1/cen7no0jEr21PzKzDpYeQMd0h5MK4ZACr4cVQgKOrYhtqjo2XiMR6QE8CXxfVaPezfywp86wuxW5YQt672A/s4kXjO6OLh6KHpKPvLjXyECaLri8Ti0i+RgC/Yiq/jNWWz9MtBPIPTuNFLYn+PNoz+ifB1f3RXe0Iqes83o0Ybi1XBX0PT0IfKqqv4/X3hfqjrInAA/vQpccnNDb7Extq3lrxWrq2r0vmkneqa2jccZhh5dTgxBKcvLtdgb3fHinAJXAchH5MHjsJ6r6gl1jX6g7yqomY8dQqf8VpgXbW9NuCuTWkpaqvk4Ctyz/iuwgT3frz6Qtm3lid7+4DjKrJouWqbQjJPr+aBaBiRMnWFpoZTuW7ofj0ihISTHqqHmA7yjrIA1DuyGtSnFNhoSwZjOqSNUu9Nz0WlLsMmGi2ULZG7vI2x+g1cV9003j61zrq0vxeIMRB55GlUP9JAkJkIjJmYipaO03nuOqeOMBzvvBcl7+y+Ec6O/eumjBklJX+olnZrtBp0v8usXKRuS2beiT5UYqqXRB1TPzO+OE2msKNzcx4Zuf8tF3hrD5+AzIvpHNNCty3Wb0hr5weBrNp4N4lXjQF+oEKNrUyKTKT6i+cCCfznBHq/p0HPn1dmMP+/ReXg/FHl+o3SFZpuCATbs59brPePz8Mfxz6nFcTHtPcXSzN31CK50SLTTUbvrjSZhrTTPyp50EPjqkw+G5ycbX1GlM4b4mfvWDp1nwlVEsuHC018NJe+ZVGBuIpq2sSd5J3thv/F3ZBAPS8DJWoNWfU6ctM//8Bh8fW+YLdLrwf/uQn20l8JfBcHL6huj6mtoh8YI33PbKjn7vc8a+vY6r53wt7Lidqb1inX0N6vnYm7Jueqnd6CtaH4n2XbDE/K9NU8cz0R39Vrtakbt3wFMN6OxSOLUoatNo50upp94PPkk/jnt3PTf8cjF33/gl9pakn3e1S/HEbuTU9bA7gC4+KKZApwv+OnUa8s373qB3/X5qh/T2eihdmwfqkQfq0b+XwTEZkiI+Sel/nZAVQh3NPKwsWRj3vbHMwmv/+lUuemQp1/9yMTfd/WUCuW2GTTRTOx5uxF877ctrXEmu0KzI/+5AnxzC3MFl0IGKO14ExwggHjnKfPM7Bi35uTxWaVyYX37sPwmFcY6YsTRZw+pazN1lpF4ekT4ZTZzSZSp0ZBqB3BzuunkCU59cxmm60evhdDnk//ahl2Rg5J6HFTqywvyOxpRVk0P/xzP/YpmyWwf35Od3nMcvLn+Kb+wfTWNhPkcNi1NUZEkpR9kUHmkaXxczxjtd84Elm2jToJOL69m6tYjqKLH56fsddaHYbxGpAB6zHBoO/FRV7071WKyYpnWkwBXubeIHv3qR499eR2OPvE5n13Br00ZX4OCF2yl/rZ5157qbySVVdJl1alVdCYwGEJFcjMXMp2K9pxeN5GiAgMSfLThZK7ajbW21jQGbG7jl5udZecQgLntyJjkBpbF74nWnO+r8csOplmpnmluas6iukXE/XcMr91WwZaxhftt9lrTW2l1FU0dwFrBaVWOmgexJI7N5kSd0pJEbrEdyXQEFjS1MeOETzlr0X1YcW8bsa05L2/jibGXoyzvZ+MU+IYHOOLTrer8vAR61e8FaIG8NBdzPKMZRh4xZi9yyxRDuJFDQ2MIV97zGOc8s583TD+WBJ9N3w0A2M/jtXdSNS9PdV07pao4yESkApgI32b2uqrMJVu7oKX31fRnM+wxm0etLkVu3Ij/aAr8e2KFz25noRw2r5aC127nl5udZPXIAN//+y9T3LQJLdKideeckE6iXdHQcbq6nJ3qOoj2NfOWNpdz0nQvYXRc7tjtdvmc7krFc5QQvze+zgQ9UdXNC7xqQh/56IDJ2HXm3ttLSw50MkhUrNnHrLc/z4JWn8Mqkw13p06djnP5yNcuOG8ru3um7WcMRXTD2+1KimN5x6ZULI/Lp//EeVwZSur2en/7kOe7+8Vm+QHuMBJTznvqIRece6fVQOodilDR28oiDiMwRkS0i8rGTU3uiqUWkGJgAfLujfeiUEkY+upm7ph+JUbveWC6Ku35swznvLeedUw7h/XHDHL/HznR0wxRM1i6uzozDijkmJ17njox/7DvraM3LYemJiRVJiEUihRDcQnA1WqwKuBd42EljTzS1qu5V1X6quqvDnUzrSZ9V+/iefsA4rWWA7uuwufPxsHLGvLOevtvc0fw+HWfScytYeN5R2eGcDAScPeKgqq8BO5ye1mvvd8cpyWXRw0cy7PIDTGU1f+Lf3HLL8xTua0q4q3cOH87Ho8oZ+04aFVjrYhz+cR2/+OHTlNbs5pUJFV4Pp/MkZn47LmXrBK/XqRPGGvoJwDTjkdfcyg2/WMxFZ7/CA3Jsu8itFevKQpssRlBHddUY4/8ZSylYUkrPXfvZFccxky6BDunm8e3sNOErf1/KlH9+xKPTj+ffk4+gJd+587Ojv0kqkigkYH47KmXrlMzV1EHM8M6W/Fwe/tY4zhpQExLoyF1V1VVjQsJsUrCklJIz1jBi5RY+Gj0kNYP2CdFn+14ufmQpP7j/IhZNOTohgU57zNzf8R4uk3GaOhbbBvSgZNeBhN83ldW8etZI9hdn3va+TOecZ5bz2pkj2NG/h9dDcZkutKHDbaxmdk5ACTS17YSyvmaa2UBoB1W/rXs4+qVazmYt1116SaqHHpd0M7MhfgBOIvHo+Y0tnL3gY266+wJXx9MZDLO8uvMduZhNVEQeBcZjzL03ArNU9cFo7TNeqKHNzA5ogPxcpdtLg1Hab3O07sS6/N7/46yFn7L20P7cfu95bB2coTHGGcz4l1axesQANgzr6/VQkoJbS1qqemki7bNCqE1aJIftA4op21hPzUF9orY7dNUWTn71M2b+Yzr7evgJBT1BlfOf+JAHv3Oq1yNJHr757Qxr3LYZaGLVxv+9bTAVn2xi7WUHKFhSartP+pj5/+GdU4aHCXS0/dRW0tEcTgc68r2M+mAjOQHlP2OHpuR8Tqks2cYMNzpSIOALtSOsub+aaC+Ey44bwkmvr+HlJedCxOtN4+vI0QDHHf85r743gKan28zzdEheYFa2gCRXt0gDzn/8Q565cFR2BJnY4jvKHFNdNSZcsCOWrV7SnlRSw53znkQUijY3kdMcoGhTE82n5tJrzQF29ihi4LLBTCuswUw4nw67raatrGH6iDcBeKj65JSdN9WUbdhJxaebufO2s0PH0iU81lV8oXaH/ZLPj/R0vlvwKa3dc9g5soj8va0098iluUcue8q6sfOI9ClO3uUIKN/77cs8eclxNHXLusuvDQVak7PnPx4Z963apd6NNLHXSS+WXZv4XC0dMDX09BFvZqW27r6jmUOrt/KTP3zZ66EkGQX1hTphTGE2Tbd5FeWhuaj5v3Weuqh2Wbs+zHDBaGa2tc9Uko0CbZLbEuDCIR9EfT3VDsmk7djyzW+frCegnHzLGp674FivR5J8fO93x4gMLrFqVPN/829H78bZ7oVOFd23NnHcHz6n285m9v1vFwnH9TV14kQuQ8UyleOVUvVJDsW1jRz91xrKF9TzyoQK5v5yHOcVLPd6WKmpr+ULtU+2kNMYYMxv11Nc18Sg93ZTfdFArnx4mpHIsaugCq2tnpw644TaunVyxPigJ3yl8cdOSzsJ6PDKGZaVqHLC7evo/dk+Vn11EG/ePpym3vnU13UhgTbxNbUzEq0mGU3Q7ebfPp2j285mTru+moJdrbz4tyNoLmm7vLpkiG1XyiYqIr1F5AkR+a+IfCoiJzl9r3UebRfaOa+iPEw7W4+b+EKcHCbM/JRdhxSyaN6RYQLdNVHD++3k4TJeffN/BBaq6oXBpP5d0DbLHnIPtHL6ddX0+mwf/3r0KFq7Z1H2ko6ioF0l+EREegGng7EZRlWbMPZmOMK6jHVx6fuh+TQQV0Nbj/na2j0KdrVy0L938uYvhmeMQMdeDXEhSQJ0qTDRQ4CtwN9EZBSwFLhWVfdaGwUzKl4B0N2iyGPtprIKqim4dsLrC7S77B9UwOt3Hspxv/+czWN7svvQDK+s4QaqjtL/JgMv5tR5wHHAn1X1C8Be4MbIRqo6W1XHqurYfPxEBunO6gsG8smMUkbfsyF0LPeAN0s6aUMXSjy4Edioqu8Enz+BjVA7wdyiZ+dZ9bVx6ln95YEcPftDTv/+KgJ5wqELtvHBdUNZflXnsrQ6DRRJtwAj7SqaWlU3ARtExMzYfhbwSUf7i9xP3RHs5t0+iXOgXz4vPH40G8f3YevoEhbOPZIjHt5Ewa6WDveZksivpOBQS2eJpga4Bngk6PleA3zDo3H4uEzDwYU0HNw2p955eBGD3t3NhgnZmVwwKl1tQ4eqfgi4kt7CcJzFDzCJhW+qJ499AwooaOi4ps5UFFA/TNQdTFM6VsioL8Spo6lnLgUNXdBhpu4mSRCRyRjxHbnAA6p6Z7S2WSfUsfCFOfUc6JdPz7X7O/x+q/Mr0+bX6pL5LSK5wJ8wyj9vBN4TkQWqauuLyvhaWj7pTc+1B6g/rIsGDGrA2SM+JwCfqeqaYLDWP4DzozUW9SjoPBFEZCuQjnVm+wOZpT4SI9s/H9h/xoNVdUBnOhWRhcG+ndAdsBaBm62qsy19XQhMVtVvBZ9XAieq6tV2nWWE+d3ZLzhZiMj7bpYgTTey/fNB8j6jqk6O3yo5+Oa3j0/6UwNY0+MOwW7JJ4gv1D4+6c97wAgROSQY23EJsCBa44wwv9OY2fGbZDTZ/vkgAz6jqraIyNXAIowlrTmquiJa+4xwlPn4+DjHN799fLIMX6h9fLIMX6gdIiJzRGSLiHxsOfbbYJ61j0TkKRHp7eEQO4Xd57O89kMRURFJr72NCRLtM4rINcHfcYWI/Mar8bmFL9TOqQIi1x5fBI5W1WOBVcBNqR6Ui1TR/vMhIkOBicDnqR5QEqgi4jOKyBcxorNGqepRwF0ejMtVfKF2iKq+BuyIOLZYVc0tSG9jrB9mJHafL8gfgB9hbDzKaKJ8xquAO1W1MdhmS8oH5jK+ULvHTOBfXg/CTUTkfKBGVduXC80eRgKnicg7IvKqiBzv9YA6i79O7QIicjPQAjzi9VjcQkSKgJ9gmN7ZTB7QFxgHHA/MF5HhmsFrvb6m7iQiMgM4D/h6Jl8INhyKkfl1mYisw5hafCAigz0dlftsBP6pBu8CAZxvxEhLfE3dCYIb138EnKGq+7wej5uo6nJgoPk8KNhjVTXbdm09DXwReEVERgIFZPjONF9TO0REHgXeAipEZKOIfBO4FygBXhSRD0Xkfk8H2QmifL6sIspnnAMMDy5z/QOYnukWlx8m6uOTZfia2scny/CF2scny/CF2scny/CF2scny/CF2scny/CF2scny/CF2scny/CFOgsRkeODe7y7i0hxcJ/w0V6Pyyc1+MEnWYqI/BIjSXwhRj3wOzwekk+K8IU6Swmmkn0Po/LDyaraBavUdU188zt76Qf0wIhN7+7xWHxSiK+psxQRWYCxQeEQoDRa3SWf7MPfepmFiMhlQLOq/j1YBvVNETlTVV/2emw+ycfX1D4+WYY/p/bxyTJ8ofbxyTJ8ofbxyTJ8ofbxyTJ8ofbxyTJ8ofbxyTJ8ofbxyTL+H2EbgHdXG/bCAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6296,7 +6294,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6308,7 +6306,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6320,7 +6318,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6350,12 +6348,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6379,12 +6377,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6405,12 +6403,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Kl5kXN/H7bVKTsoAEh02STfIw6JRJKm6h3Bjd6s/GsWYcL9UGgK0IDrqLRhAmxkMoN4Mwt7mf/kl5qMxKh6n2AvmOVujCFIa72DiWximVk/R3BrADeEUtajTAuEtXtcpiELHQAflMR3zZsCLkQGXCS0kaQwGPRRQIJok57kJWksAZDeCflGO33byOuW9//AXg6IjFkpHN7FULgazSP7YQB2Dv5y9izy96eNNdDzCnez+PUs3eb1xw0jaqJIF2r8dJmISqhVmnlCY+mYed62RukUeCMtIGqXwHqy9bTJURoyd4EjOw/X/We8xJpzCFNZgl76TzbC/1pxxY0yAVvMfGS0/bNAMNpPS/HE9/UnLWKb9dkMYazZ621TxFfEzit0CHz0vhJEo0/nFFvEaeEH9RnEDAxQb68wiUiBXVgTSpeHZ/6ZBGDbmc8Ko4Pn+a5AmxqtrQmC64GC93mDO/l+mkbDsymUs6k5ToyMWJWagSUeSRaC5TIxKDK5+DWS5gkz0SgKiZjYXzpDINIFmXxPDZBNx8fTIW8uiq6eEgvrI4qeGgd97hJVKlNt5ZgK87mAW4Eop0kdyDeGceygUpnHE/SmcrD/UTGKmjFPMc/rbMvfYzG+n6mOsF/NdG2j+7AW1qvnvpJfz1i19kCSfYQC9/eusoB960gfbSCqLV9knAWmF5hMo8yQ4cbqsmp3aaZLeANYGa7GvlKruZzJ5zskHupTI0rT9ciRoXJVelcRiQ+6Mi2aIJMw4ow7s/ujBF0rUYC4sHeHDodFl+hX2GN8o6s89uVs4Y8dJ9p8hIO1pVxbzPf54Xcx3jBPh39vHH736eUOLZMyHM0eqU/p2KKKWuUkodUUq1KaU++Hc+r1dK3a+U2qWU2quUuuaJ9nnWWX4rN0VNwxAAnT2l2FN+lFvBFqtPE+qQS3KKUiTxQcC1nGNBmUkLntUHSEwGCBQkcMNDgp1B9FpBfbVWxMZzyBnLuogpN3ugw2na2itR6UwhiYF2zyM0Ccqx0G4AOmFolFtgM7++n/ahEgCq5g/QN1KAPe664hMWC5f1AHCgowYnbZBMuwi/7YW+5FRNE+vLPcl6Tu13L67AJpXnYGSKh+rjGIOue+3XWMVy7c54wAsVQPof/CMZJISBJv7BxQzkFmK7WErz+zcRd0Oo9v9ZjzY0ze8V9/v4F9dz8PMX8i4uZFnXCW77+s3c/41P8dzXf5ATi3Kx3GxINBagz1WC/LJpmotH2Burkd/NtfoA6XzHy3h4593temkpSJTZ6EKX1jkS8IqazKhBOjeTFTBo+sAmWn+4EoCWV+9g54/OlXvlKApLpv+Of/Pk5XTG/O5k5m8ClyNDWrYppf6otT44Y7OPAr/SWn9bKbUISaM3/qP9nnXKbydNApd3AGB8qQozoahYJRTP7vYyoi2uT5gwcIqTXsEL4ax77wumSUYkIFSmxk4b+HPkoUmtShM03XhTK3LafaTclLNvCoz54p76juRhzo9gH5GUVNWaXvrHxWWMF5hc2nKUrX3CTJxTPMKBPqG7WsrBTovSDYzlYyezCmhWxDg27LLolEYpnVXwsgSm6/YnYj58EybpPPc8DU06z9V2R2iqTgZPGwlk6mzwjZukTFGWUPk00VQe1nTG74f2z23wjp0utGl5U5aFh1Ic0UVc9rm7eUTV0PrttdnzdpW46QObOPaV9Rz70nrvM+2G2j12Fd+7+GKKp6b4+Y++RjTHz0vf9FbGc3PRHSH0fLn/0aMF7KcAnbk2vz4pDtemFC+BhDSZUCgVAkK25/YD3rXNxA1Qcp0+WWPddKE8M4bP8Rp7PHVR2Kcv5l8DtGUmMCmlfoGkymcqvwYyMUsB8IQFc2ed8s/KMydHKGY+ozxCzZP+bswX4HPXXUcwmWTDlk5e1PoI1+zbzc/Wnfc0nOkzL9LJ57Qpfw0yoDUj3cDax2zzSeAupdTbkLqZy55op2ed8s+v76frt4sByLPGWF7ey85+aZQY6LfIOVeAr6bCUXYeaiRYKVUzqbiF41rZtGGCWw5rFiQJBlNeKKu1IplyW2IlLXxKLCvAqmsPMpoQ4G4wJ87QQAHUiNXoPF6Ov0ji2YqSSe5vm8eV82RhPjJRzg3z9gBwbKqMBdX98nq4FCM3ib9AXPFE0vL6BSxs6KNjpBjbTefNrxgk6cg5t/WVYzfGxLUFqVVwGX66K4Q903rlprO9C0IOoTLJ1UcngxjFCVRE0oCONcPLUFIePVOOf3E9Dx4q5N/vf5CuV27AiM3oEzCDuDTnXZs49lUpvJnzzs1ev4BIg5CK4j4/D65sodCc4LJD+/jluedh+xXRo5IBURrxaDKpuUnTCzEwNb4IpF2WpZ2bzeagNP4ev1fMZQfwyrTTQfCPuoSryjTWhOlliPzjBkmXjegUpkjbp4nbrxVJbT7xhiKlSqmZHWq/q7X+7pM85MuAW7XWX1JKrQd+rJRaovXjdxQ565Q/lvaRiMuP9Zx5Bzg4UUHlC0TJSjcWsenoHAB29udhBNOcUykhwfbj9SgXSS8qnGbETTNpDdXXH+Do91cDYE5YXHHhLgAeONFCOpzNFz+8cwGGWwhy3cJ9PKznEA7IE2Yqh7GYLAxp2yAcjnFiSuLwfH+Ccbebh2XYtA5KMUrAn8Y0HRJJ+Rksyybq1qcHy4YEDMoU9hgObW5IEAgmmR7OReW7fIFJH+m4m9qriqNGAgRrJXUWmwx6Lq+/dhrb7TaUVxjDdhTRapcrMOGDYrk2PeXzOiCB0GkL9iv6UpXMPdZN3X9upOs3kr/vvm0JGdr/sa+uA63IPSHfPf7F9Z7Lbth4iLvjg0fmz+Njt/2axo8/Sv87ziPm9jh0rJMLcdK5DiVNcoCR48VY68fQXa53q7O0XTNqkMpzTnL105lkiJL0K0Bg4G8f+QyOsHRlJzuP1/3N5/+sOKce8w9rrVf9g897gJknVuu+N1Nej1tCr7XepJQKAqVI34y/K7No/6ycsiRNC/M0JcKH8vLQqP9vC4AE8DNO6d8pyDagRSnVpJTyAy9FJjHPlE7gOQBKqYVAEBj6Rzs96yx/Te4EJ9rLATg4UcGxo9VcsXUEgEga5tQNAFCeM0V5IEJvrDD7Zbdjy6gKizsMOEmT0dvnoQaypaD33y7obzqs8U0r8tfJPWzIHyPsE/e6M1rMnMIRWsfEGo8PhT3PwvTbOL0hBue7fHVDc6BfAL9LG4+yuErc/vbxYrSGtAsAXtTUxq6AxNOHBioAqCyUGuKSwDTrajsAePREs1xPBv7X4A+J1fb5bKYn/MQGXZQ8J43pWsP4SI7HbIwU2ATKoh7vX/s1uJkFsyBJesrn9UNsuWkzrbeuIh1T5PzM5sTNy0n1uDl0DUaWNs/cd56MpLf/j7j94ROK6Rlt7FsOj1JAkmqmUHaWbxDukm7J6QL33k0bjHRKhZRRlGCyK5uHV4VJ1Ijbsy/knAQMKicL8jl/x/vOdC3SJQm065F0ThRmOzU9ZTl9gJ/WOq2UeitwJ2ACt2itDyilPgVs11r/EXgP8D2l1LuQO/Ea/QQjuM865Z9KBVizSMbObzvQTMubtxDZ6D4cSlOeM+W9Hk+F2HakCQDltz23llE/ltvLzooqxiaKMcrEfW/42EaO/2wFAHbCxC4GZ0pc8efW7mfPpDzBtTnjbBlsIMcnrndTSyctYfGwjk2XMVAcZk6+LEptE6UUhwV7eOBEC+fXy/kfSlSwrKoXy83Lbexu9EKaxophOoeLqQuPA/BoVxPLq8TTM02HV63dyO/bz5HrKYbmYjnWnuN1WBETJ+hW8oWkuAeg5RW7PETfGjdJJnO9nn6hXkXF17YA0PHLZWBocvrk4e1/9waUGSca9pGKK0qMSUYmQ9n75cb1ze/dxPEvrKfl1ZLqa//sBq8vYCoXQi7+XP6NjfS+dR0PzVnAC5J9/ElL/wKQkKDpgxu9RSNdYEMmndobxNKg612ClqOy2IQxoz03khXIdNPIGchWWGbaeGeIVXpGnn1ooADM0+PZnGbAD631X5D03cz3Pj7j9UHgSaGnZ53yrytu5/CUWNHzzjlK1S6DHjdtPxzPpTggSvbonnloQ1J5AIz5CQy7oE+p43W01YbJFeftxnDNhLMtyDr/NgDapsuoyZmgJ1bgHT9pixnpj+ezuKSPHFOU/96OeSzJl6c73xdjgDCbuxsAuH7uXn7fJoqaiPpomxBv4cqmQ9x9Yj5LK8QTMA3NqoZOAAzlkF+dYFefeALptMlUys1pG5qdY3UeQcRn2aTdWJ6YSbowjb8kS6ZJ9YqiHv3easKlwmFIJCzmvnSPp2TJwuw9To0HUJxcCZm7J0hOMkHISDPdX+BVOh7/4nrCHXIeg2/dQLgTr5dhXmeWOZgKQ0x+NgbfJp9/4dgCfsGfaf7mA+z/zMVynMdEstZYthFnOldietXhsiUN7XkIvpI4uiPkLQCi3PI6VgHB4cweFYExmFzh4iXjPvw1AoImJoLo1Omy/GCfIoHnmZKzTvln5ZmTmD/A75auZfsnPk7KNElaFgnLIoWPpGUxEQixp7qRv6xZyq6GxifcX1xZHNVFLGCE/U//6f9LRaNI6TNbvc7ss3sC2drZwOVzDlMeENAobvvYcrwRACOcYm1zB5t2zgOkIUdynusuJk2P4/7Cyzbxu6PLeOH83QD8Ytdqrlm6D4C5uUNMpoM0hCR96DPSrC4S/teuiToqAlmw6vq5exlPiUXa0tOA1opzq7sB+F3bOZ7bb+ZnzWm+FefKxsMeLmE7CsM1t0nHIpr2eV6BoRz29EuWYEVVD/3RPK/f/HhvPtEiCRd8YybGvIjnziZHgrS4FXvt/7Oe6jccAASZb71lFS2vy7roGTmJ3AMMvHODV0TzmYtezEdecT0L3rcRf9LGj40PBz82xcRZ0tfP93Y8ytdZwY8++xJy5RYQmICUG67HKiDUByc+vYH9f+onr6DYO5bth+E3b6DpA1Is1PHfG8C15r5JqYPIxPLaUVgT7uSlSAi0kpQlnEwMsjSJkqwVjjRlfwNdkM7WhvT5uPrardzMU5cM4Hcmy1mn/D88vJaFFQLq5YdjDMXzaMoVn25fTxU3LJZ8er4Z45ZNF2AkXLCrJsVNyx8BYCodZP+kKNKvdq/idSsfpTsuQeEbVj1M2BSX+csbr+CmdQ8QMgQr2Dg2l4aQxNbnFbcRtQME3cTy8Vgp1QFxqS3T4WVztjOYlKd9eVWvt0AZyuG+LlmQjkdLKfZFvfM/aFSw23XztVYsq+plcZ6EEmPpEDtsyfbs6qvBNDQLyiVQLqyNcv+uRXKDCm38WpEcEpxC5aW8vHuwfpL2XywDwGdNk+rO9TCAdK7jhQAzq+MAKr66kb73ynZVX3R77b39QgDKv56t6DtBAXe+7XoKb/4ml9DF1g89xOHPynZoUXjIgnHBIQhMO8TLfTR8NLufwbduEKUn2yBF/lDgZOP1dK7jtWBHSyvxzMKQznVmDFgBI9O+XIPOSwt7EtBpA5UpBqtOcWf7Qk6HaNQZ7/af2UvTrJyV8j2Wcg5DfIt7nnBbn50mZZ4yGeasEgfjlP49U3LWWf6FFQOUBQXRz/fFWRDup8o3DsAbl0wRd/ti3/LohWBonLAAQleec4AfHBTLdmnTUQr9EgL824otTNo55LspvOFUmKgtLvT7NtyBT9nEXYJ6z3Q+G4raAAiqFIVm1EvnrMrrYCgtPP/n1B0lqNIsDgl6VR8YpcAUt39ftJaLa2Uf95yYx7nV3awISyhxoryYtJuX2j9QiaMVR6Yl5Te4fhzf7+RaMuDkkSGpIZ4ezvXCGAxNcjiHlrcIct928zqvyUi0P+xZQ12YECJPxrCGbMKH5ToH37qBqQZNngvklX1zo8ec63/XBgw7C+TN7Lw78M4NwuJTFh/WF/DfgU185rZfcut5FzKaKCZuCWBpz2jv1zw2wF0so+O/xeLmdgMKGj+c9QQy3omZEF5/pj2XFTE9wA+3bdtMyemTexmrcLzCHrlHoF2AVGuwQhLT5OXFPMLVUxWtOZ3c/qdFzjrlX5Lfyx098qC8tknc0+6kxIwFVpRvbblENjQ0BG2uWiQxbmVgkqYycdkf7p7Di+cIi2/KDhJQKYrcpvgmmqjbBSLiBOlPFDA/JHH3y+u2eQh7xAlydLqSuaEsgarYlH34AjY2ioidw2Ml4VgE3AD6qqZD3NM5n32DVQAsK++lMiR5/YbmUcJmnF+1Sdpx8SMWVlqYboX+GDu667wcvdJ4Se1gr0XdpzZ6TS7RGr/b6y85lJNFzqd8+FPqpD53kYZsj73m923yUni85eTGnQPv3ECF259v6D82MPBOUU7lyEScwbdvYBC4PHEF9/3vR7lx+xbupY7PKaGjt/7vGlpu2uqe+zTnjB3nHi2/adm3Tm4MMvjWDRiZWq0Sm5a3bvH69qfDzt82x5/hasfLHO+8MmnL6IIkhmWTly/3RKnsYprjS3mvn6oI4HdmezRnnfLPCQ7y5jlCuhlNhykwo56y3tm10MvTFpRFeMe8+2lPZNt+L8gXrOC8kuOMuZMbagJjRDMN3oHWWDktbtI5pU0qAxNMuEocMpLesfKMOOeEuzxEN2Qk8LlJ7WJzGgfFtNs1J6VNBtIS/58bPkGvm3TuTRQwr3SI6qBgBZWBCc9z2T1eS3N4mIZiUfiptJ+wJVrQN51PKmGh3e5DaLwUl2NB6zfW4plBpb343z9qem9rQ9piecZJaa9XvnKkuWbBUbdzcBBPwSu+erJy2r4smcb2ywCSmTjAy7mWr3I/hyjx3mu5aStD/yH7S/52J/UTQzR/+BEcZdD69XX4Jg0aPyL7KP/GRk/ZW94q3kxwQE46VmNn8/JJY0bpXmZBdK9VQaw6s0po9GiAJXPavW139gp3w1QOo0Mzhig8RTnTAb8z++xm5ayXuYxjY/AH5vzdz991zevIj8b4Lx7lG/pevvSjnxOOn/0NPzSn1sjjVJt5PB3yrx7U+QXgOqSA+hjwWq31+JPZb8QJeij6T3etZU79AO39QpopKZyipEzc5tc2baIzWcKkV92Rde8m7RxacsQLODRdzcLcXs+6L8nt8ax7hW+C9kQZTQHxNHpTheQZ8mCWWRFsDEzX74xrnxfjOShG02ECbqBcbE5juim8o7FKyt2xP4emKj2rDzCRzmHzcCMAiwol1JiXJ17I0Ug50bRY+rkFwwxGwiRcOrE9FoAZ7QQJ2ZhBeaP55bs4+l0JAZJV2V52qdIU/iEf/gz7u8+PvVYyEqnjYXJ71UljrWa618rBo/7OfcdGj7RjJrOjyDKyhGF2UeYN78zI9IXT6OO5TBHi3eHX8abcezlQVs9/3vkTHlo4n9+7hVZFO3343ClJbV9bR3DQ8Mafx8sVFU0SyvUfKwGf9joNOTMdAY3X7jupfOi8NAeGhXGkNV5Kdn7uALcMZ1OeT1XOdMv/dLr9twLfAH404727gQ+5XOX/AT4EfODJ7DSoUhS4M7Tra4dZWdxFfVhc4/3DVbyiUdh5PmVjoGkMysPRlyygJiDb9SSKPKVtyBlmyg56BSutsQrqA5LXt7XBAwMtNNWLhiwK9jLplocNpfOYsEMsDAqodyReRbV/zPtsMJnPghzJbY3a2W4083L6GU1Ld5DnFB8CYHukEYBcpbm04igAI8kwhtI0ZqlpHI2Ue69fOGcPP90nChIYMkmUuh2LalKQMMndKwtY6/+txphyOftRw3OFM+mtDItvalGKzDI5b80Jjg2Vksh0LU4r8g/Jo9L/zg1UfnUjmTMZfPsGIk1y7+a8axNDb8kqj6EdruMY/8syZkrXJzZg92iUSzseLPHx5VzpOnV55yLmHBknVCeryPjCk4P6WJVNzB3LbRYlyQu4QG1pnKK8KKOTcq/tyRmooq1IFtve68AJP+Mq7H386Jh4JRuNZo9T8FRFA84ZDvg9bWentX4IGH3Me3dprTPF35uR0sRZ+f9UTDRFJNjLqY9b21ddz9quVnz26RuY+cyITOw5lX/PlDyTgN/rgF8+3oePN6jz1hPrPfbahZVttE+XMhCTVfzNcx7yaqhtbVDtH+Owaybu6Z6Hzy2geXnjdqIuGGei8Rkpb5VekNPHhC3+7rePXUjAl+aoS0pfF25j2AXuInaQkJnwQL2GwLCH7lZYk0ykQ94xMgAgCPiXSftlts8ce8twA6+rexSAI1MV1ORMeCBic84Q57opwS2RZoqtaeor3I69BTn43SYUkZFcWt68hdYfuOXhScOb/OvM6JWvgGR5Cq2yY8RMt33Z0W0N2KWpbMWfobJDSN1ndfDtYuEnFqdl3gCC/Jd9c6MH5pV9cyN36QYu4wS/Zr7nFRgJsPPS+N2JukZutiJvuM7P2ntbWTx9jE3z59Ly1i0ugDlDMgDjqJ9i13sorO3hytL9fO3wpQBMRvwol+ClAzObg1joRVPeMLFkzOf1AbSDGl08Y7TzUxANs2j/3xOl1EeANDKv7++K28nkuwCrVq3yYFzTcLi6Spp3ROwgA7Gw5yoDGO6TkWdG8ak0dQFx+1/dvMWLwX/RvYoba3YAkNIWhWaUX/SJC31t+T7+2i9suatqD7FxuMnL10ecHOYHe91j57BjupFmv8TkXakSKi0JRqedAHODA945DaTzuatfUlkvrdmO4Sq0qRwMtEfpfV3do95iVeCLsX24jrqaEW8/v+mXUtmqnEmijp/nVgsN+cfH1jAVEafdzEkTfricxriEKl3DRaQjWRe4tGYcgOJrj9L3ng3Ey10FtxVTQ26L7FK5T3nFskg5Gws9BP/Ep0SBy2920Xiys/PKvrnZU/yM9JNLntsjL+4C/oYNoY4sOJDKg1iV3IPC3Sn21NSz7bxaLOIc/d5qVEYfDS3QvavIobJpKl3MJGCkORyr5rL6IwAcLqzg2JBgQXbKxHYzI3Z+mqBlMz2aBTRSLuU6VBMh2pcNB56KaK3OeLf/mRjR/RoECHzOE9Ubz8rZL0sY5s5/3ET2JFnbfoz75i95+k7oXyizJJ8ZopS6Cng/cJHWOvrP7OOVdVu4a0R6+NWHRrmxZocHoP28dzXLisQy21qxebCRFaWC5KYd05ugcmPNDg+JzVjdWEosw+/6lrOhVHLAjww1E7JS9KYKAVgU7PGIO0fiVRyYqGJdWNh61b4xL0efkcy2I6k86t26/JkZgu5kMVN2kIW5AgwOpAso9Ql7cV5OP442ODAlXP/F4R4uKJFjxR0fbdEyziuQv/+teTvf2Xc+AHMrhxiK5TI2LZYtEEhRmC+3eri3gIl9Yg2Hv1eAGYrhuB2NDZ+Ndpt5hA/4cTZM4GyU655elKDzk2LRgy6KM/AON+//tY0eYQfE1c+IqR2WMMynkcxABmHSWrgDGT5/90c3EHPbf/cXFLCqr5WKzqX0lBYR6PPBArkniYmAhCKu5Y+O59BfIeXWTbnDHJsqYSolXs51FXu5eVAIX85wgPwG8RCSKYui3BgtpQKk7u+pwlcooGGsOw+z7PSkGaWe/8zm9v+rB3V+CAgAdysJHjdrrZ/UsM4JO8TVpeLu/qRrLQ8l5/DGZinYub5qN4Nu6VgGLc+g+EPJEBuKjgGS8vtFl3TreWXdFnzK5sZaCQPG0rnU++XB2KwaiaZ93N4nluhOYxEXlMo+KnwT3FiV7bnoaMPDAyp8EwykCryFpdI/ztKQNF8dt0NeLBg24/iU7bmHJhqfO5ZmS6SZ5Xmd3v57EkVU+ccB6IiXcHisgkOjgkVcU3OANy2Ve+BTNj9oW+dNCCqpnCTfRcQjBUGcEXeBUmBHLa/fgU6ZHmEmujxGjgLfBaLp5uEiAnJoplbFqIC/O6o7I5nU3/qbb6enuJT2V18k7NsM6cYdoNP18SwzEBeP+Py11/CxO3/L+2+7g3fc9DKS9UmKQ9JoJTEexN9jkaxPesfa4jZrSc8zGIrlUuCXa735wCXeNs2LexiJSkhTUzSO37RZV+w2VBmo8JqmmuUx0mPZ1PBTk9PaujtjOL+GdPL5vtb6c4/5/CtA5qJDQLnWuvAf7fOsG9RZ4Zvg07slLfSuc+7lF92rOBaXxFORb9oDyEr8U1xQccz73rb9zezIk6q4Gxbt8UBDn7KJOn5+1S3x9IqSbjaOSJusoCmKuKFEHpSHhudS6xeF2DXVwKq8doZche9OFrMkR7yMaSdAyEhQ6AJ7Ngbj9sykuUixOc0EIQ/x9SnbAwPL/RFu613B/ALBFLYP1ns8BaU0htKcWyoLSm+igPmhAe/+vG/BXfyqUDCMYyMljI5k0XbtxvNKgQpkrb3yZYkC4bw4SmlSDwttOrRhnMmwMN+sniAnPrXBy7WbyZMZfZD9eyGjHB8NUvFV4QK4WVcSxdD4kY10f8St3DPwkvLRQJD/vuwGNn3mExRFphkrCDE67I7r9jk0fDz7PXv5lFed1zpSSll4ioX5wo9oGy7lqiZJpe4aqaUkJNTrm+of5Cd969k9ISCyaTjMKZET6xgrJlb0Nz/TPyWS6vvXDe3QWr9rxvZvA1Y80X7P7KBkVs5aCekUL6SVB/+JbO5lB/czmpdLzO974o3PUMlw+0/l3ymIN7RDa50EMkM7Hk9eBvz8iXZ61nH7d0/X84FldwLw0+41vKpus1dN52iD/oTEgJWBCQxDM+nG3des2kON67vunqhjYEy+M1EbIur4eW29WCtbG1S5Zu3B4RaODZfyb9XCKS+oiDLsHmt9vht/Iw/okpxu8kxJO0WcID5ley580snWDgBMuNS54sAU84O9dCTFMt89vMjb5kB/JQsrBuiJFgLgt9IUBWT/Uyk/luFwNCLf6xor5FihxPKLCvo5P/8ob669H4DvGRcxVShxcPvWelKZqb/BNKFwguiU2xrMcjy/fHIsF2U4UJsZY52Df0geUjtH4/hgqtltg+bTJxF+MlmAt7Cb3ZSzVVV515RB+wPjcOwr67Fq3H6L+8OE2uQck3nwxofvpb2ylHjQD1p7rM3RkTDjt7cQQsKy8typk6xr52gRvePy+1umw+FJqYjM8aWw3BDsVwNr8Bs2fre4al7ZEN0R+Y5hOOSHTx+1+EmU6z5R3/5TGdoBgFKqAWgC7nuig551yj8nOEhbXH7UV9Zu4Vi83CvSKfFN88ddwiZ7xerN2Bj89gG5R9dduM1r0rG7p4ZrW6Taz1COlO26YJ2pHC8l2DZcyusXbPJc9vtHF/C8st2A5HB/0bfae6jS2uDacsEiOhMlhM0EZkA++03/StYVC4hY4ZugLkfczKCRYk+sngeGpLmHoxW9E/IgakdxYqKIOUXZVF/XZCEgA0lmSk3hBAMRWZQGp8LUBMaJuEzEV1Zu5FOHnwtA/pIRT1kMpTGVQ3xAwpbKpQP09LuNUC2b+opROkck7WgG0iy8uNs7h8kDxbT8hyyIrV9f543uannzRnrfvwEU6N+3sv7wEW59zfM5WCXhVqLBHYuV9qNS0HDjXu8aPEAxmqZpYJj39a2j5TXbaf3hSkZHs+m3ocECj6U4MpRPXmHUu3dwckPOTCEUwOFhWaIai0YxlCbo9l7M98UxlTs+3bIZ6D49fr+U9J62vv1PRl4K/EZrbT/RhrNu/6w8LfKB617BrSzm5ttupXj61Hvzpw2DqWCAHM52ht9pndJ7KkM7MvJSTsHlh7PQ8t89vIiLS4TUc0vnBnoOVfCKiwXpPh4t9TjrP92xjlBRlAvWi4Uvcev1AdbUn2CR20c6rn18e9eFXNgibvzq/HZ2TkrX3WuaD3JoupJ5uVnCTqZ3wEPDc1lU0O+FCD85tprbkSk2r6zejK0Vo7ZYrOWF3R4QORMB/r++C3G0ynbeBVJuD/9QToLpaIC9UbG+ytAsq8rOXszMCwBwHOVN4ikLT3Hr0bVYLlvvnEWdvLxJPMqwGefR8bmAtEA/NFBBukCUrG+oANPnMgGHA+TVJfDXiVu+rKqXrcflnqjBAHZJmoE/uO2u+hxUUo7d+u21+IekrDdlmdyhmqid6+NFezbzvxdfjpqUx02bgILW7wg5SBvaKzDyTRncvfAcrtrRwU9YRF5BzEPjJ8ZyMXw2jstmzC+MepZeawFCM9etlOaIC3QuLB1kQakAp2lt0DeVT58Wa39Oaa83nDOW8lFaM042x/LPi1T1nTbb6g3tQJT+pcDLH7uRUmoBUARseuxnf0/OOuWvD415KTRLOeQ3jfPgoDzQG8raaWmSnHnaMbis4ggTaYn5x9IhQu7wtk2bF9KxSJS4u6uEN659yHOTj0SrWBCWfYyk8jCV5jvbLgLg+efs9roGWUpiyqvqXNd1DmwZb/LOs8Sawp+h5voHvdChL1XE5knJJizN7+G248s9hddA0C/uqNaK3FCCliKJb4+Nl9AXFdc+EpfJu9GYxMnBQIqpYTev70uTE0h5TMfPHL6G6+qlN+628UZCritcHxqjec4wD/VJUcvYWLb4SBUnONxfQU2xXGvISnBOgxiarqJCXty4k5+1STahuDZblTg6lEeyGKyoXE/PhzbQvvN+KiYniFfYHi03UeygHOUNHVGWJlUl55WKmfzvxZfxq0Nf4/aXXQ4vOOgtNMrQ5BfEvOu2TMebreezHBzH8ND/mZLWBj1uXD+/aJBQYZJDIxI67h2u9pR/vLuAsvrRv/n+PyNC7/2XDu0AWRR+carkubNO+Wfl7JIVnR3cP3/xk/pOV3EJX7rsubz9gTv4T9ebOvvk9NJ7n2hoh/v3J5/MPs865TeUwy86BRsJmGkq8yLMyxOfcTyV48VQx9srOBoepz0iFt52DPoOiptpJBSXVkrokKowaYuWea217uuYR2GuoOoF17RS/GgQMyifHY2Ue2W1hf4Yjs7OWluR08G28UYAgirJnlg9q3Ky3WIyXkDASHFxofDP7xldhKOVZ60UMoADxPKbyuH4hJz/zNFgIPnpsEt+cbSitDprgUdOFFHSIOXFc4pG+EOHKFAiZXm16w05wxSb0/xhzJ36o7xSeAByQwmmk373nNMUByRssgodfnNiheeKj3YUklcrMX1eUZSIDpHOFcu/ov8Ya04c431vfJFc3MyeACkwXattB2yIy3eCAybpIPhUCpRm5M/zCbhZE8MF92Zed8bNtx2FaTreNZiGxnLP0UB7z0U0LdeUAU0t5XjIf7L+9BbiPGsZfk+XHJ8q9ai4y0p68CmH7cOChRhKE7TEbTYjFu2RYvq3SMy89OJWeksLZSfdQTpjolQbCtp4sH8ufQPymTHmY6peFDDx9g0sCGynslhSTUEzTaeLuEtBjuavY5Jd6IwWcU6BuMa/HlrNNSV7GbIlrvzT8DLOKxRMYcoOepTdtolScgNZRNo0HG8ikGU4tBQN0TomcWvHRBF+U84rgxFk/u7vLcLMcWcPphW1cwc9QtCe7moqikQ5p6MBuqbk/C3lsLbgOFctEJ7IRCqHze3uaDPTwW/aBN1RZHtGarzzWlHWQ35pjD1DbovxgENkxA0ZDE1l1Tgrt3by1j/dR950nA/824uZ9IcIdZpMN7kgnqOxLZWFm+Om13C062Mb2NC/n7c/eAdv+PQrGOnLp7rOZRoamqRtnpSxyIjftFEzFjBbG97r4xPFNBfIProihSws7sfnho7Ttp8DI8KUNJWDaZymHn5PDu1/RuSsU/6plN9btVsny0jYlqfwACe2C6lEKejfXE2iSj7bsacZ/5g8wGWr+6lyq8GCRooFRQMMjQs4lzZ9JN1Z8T5g+3Ad8wrFs3jwSAv5rvUZieViGg4D0xKHn1d53JsF0BMp4M96uYdNONrge20yRs1xDBaVCYBoGs5JqSmfaXvxp9aKjsnsMAu/ZXugnqkclMqmt4xgGsedZ2f6bQbH87z9KgV9w3I9ppU93sb2Zo6XlHj3blHBAI0Vgi/YjkHKMWnKywwrsU96kI9NlnoLT1FlxFPCEAnefOtDbLjvGB95+Q0Mf3WU7pJlhLog2pRGBdzs05QFCkx3FLd/QnlUX8NK8aX/+xVvfMsr2RFsAq3oOyEEgaqGEUL+JImUPLYBX5pkWl7bWmFo7VlbRyuszASzuM9L9dUXjtE6UcaiQvkNTkSKCPllAW7IG/MW29Mhs1V9s/L/vTR1DvGq327mwq2tHJlfyQvf/x+M5oVpUVuf+MuPkWVdnXSVFbG9pemJNz6DJdPD70yWs075u3bU0D9X3NjC3BhBK4V1mSRn0vfUk66QVbzlNTtovWUV5y8Ud3vTlgVe3XZ3Vwk/7xRr8rYN91Lij1JbMg6Ar3yE7rFCAKylSSZjQR7sFRJOY90QkwnJCgzvLSOd61A5R0g4ptLMCYvlDJop2sZKWVIqWYMDI1VEY8KkqykeZzguyLylHGxleNY+Zf9tzOm33HhXac/yg7iVGRe1omSS/qEMOcgA08ZOZbc13Li4vDDiMRvry0fwmzZHuwT1Pt5TxufW/RaAByfns3+sikeOSyagpHAqS34xNFcv28eOQQm1Lt5zhE984c/88kWreNOrX8FQVR6jrXmgkYYiSTn/YI9F3adkMWi9dRVETXxTWeXITPNt7B+hK7+Mokr5jcd78sG9lr6OEqoas6Qn28m69lor5hYP0ebiIsXXHab1W0I+yqmYprpgHBDkf07+CLvcsKWxYIyuSKHcg4kSGvLH2PY3v8KTF+0e60yWs075A/MmKQkL+DQ0GWZe2RST90iRxvBUmPwit0vO3Q2Yw2l298uP7BSmISKXO+/fsz/vj/+4hrxggpUlwp7cNNDkAXDJlEX19Qc49iXpX985Xo2RlAf2uiu20BYp89z+I5Pl3ko/OB1GKUkjZaSiSHCDvol8yvKnstdjpumbcKsBCyLeAjA4lodpOpQXumO+0Fiuq22ZCBsvM6fD1F7XHZTGThtexx3DdLzPTMPBcF93DhVLgZCb29e24sPbrwegqnScF9fu5Hcsl3vpmNQ2yMI2OhXijn1LuGTxYdbcdZyXfHE7//7G17JjbiNEQfWmaZwrxTXt7RXknpB7Hq2z6f5optFHEm1p4lUzSGjuPa/cOcx0rs/rutRy01aPQVheP+YtlAB9/UVcsvAwICXbR8bKqXeVPPlgJWVTErbEU9kagalkgKOJoBcenJgs8sIWrZWXTj0dMuv2z8pZKcGxFC2tA3TWFZPyn+yRPG/zbt7+5XspHpjmvV94ITt042k77tHqSi48ePSJNzzT5Rluy30qctYp/4KyQWpzJI3V5itj95F6rl4unPoT/SVUlQmQt6hIrI/PtZbHjuczZ4VY9/bPbSBnwTgA+YE4S4r6+PP9QlpRaeV9Fo0G6P/9IpxesTbFu03yXyyI/oKcPgJGmvn5whx7dKCJ8pBY9HjKR0nutOdBTCcDLClyiUOhMJMpCQEmE0EMUyw1ZNxYF8QzNOWFEQJuWXHKMclxwbm27nLqqkbpHRFXXyk81ptSGsPQ3gRfxzYwXZ+6ZyjLW68pG6N3pADHdann1Q14WYTle7p40X9t58LQUeqGR9l/fg13v2gR7QtKOfdPJ3jh73fyufdcxb6FNSTyfNDjsuosB50y6egS0GzeG7dmJwc5ikwBW7DdT6wu5aX+AgMWiXIb07b5wO//wide9ryTf3QXKBzsK5SMQqX8Pi2v2c6Bv7TI/VIarfHIPE0FI8wrllqO8UQO/a6HZiqNz7TxzfAgZipp+u+EXv+MPKubeTxdsufRuUTXSiPLypxJLj3nEHdskXSbkVaYFdkR1yf6S7h4nliRxDkWMbfvvXLwmGHdnSX4zTShubJoxA4Xesdqfrk70uvH0vhjzRv2sHNIYt3WeCWtkTKvfjxopbz5f5HxHHL8KRaXiMJH0wH2jUoIUB6aIuQq8XTKT0kwSrJAfgZHK5a43zlsltM7VEh9ubiuPUNFOJm20kr+tvxues+eEd8bGtvOMt2U4ZCMukVLfkeq9YC+0QIqiye5rFI4B2OpEPvHqzh3xwk+8d+384kPPpedqxrInYpz6R1HeNVnNlHTO87h9ZX8x1dfxh5/PSRBD3mHdvEGffJ4bDPLYYjVumnYSUu2cS8nXpVGOTBnYJC0aXD0unJMJ7uTltdlC96Ofn+15/pXb84nOpENHWzH9DCSnukCr5uRaTosLBF0v286HweFf8ai6vV2MGxSzunL9c9a/tMsBUtGuKTUJehok/2Rav7tfCkjfXhoDgvc5hfzcvu5V89neZ5r7SdLKHMbOsSOQ+l68R4S+RGOd1R4efKc+RMnLQBDf1pAniNK/XD3HG/R+O0Da8mbM+YRSeJpHw8eFGCwvm4YRys6XIKR1orxaHZuX+hKaQ5i3N1I/3QeTQUCYg3HcxmIiYVqyBvDUo4HGhmmw9wqibs7R4uwHcPzGOQY7gsFaOWBfHba9JTMSStMt5dnbckYz6va51Uw+pTNqoEUH/nMX/i/L57HtsYmKoJTEITbrl9J279XomyHw1OV2I5BlTtrxVCaXJ+ArEd6KtCO8pTfubcO1SXn0fKGHbT9SBZRJ1cx7w3bOOoO5lC2grSieniC7jK5916Tjh+u9EqNW16znXn/vo20i/G0TZR62wXMND7D9qytqRyPMAVwYKjSez05FmJ+Q2bRTnO4s9K7d3WVp4/eO6v8s3JWiLI1b/7EA/z6ppUcP7f8MRMXRLT59AJYhuNgG2c2SHaqojm5YOtMlLNO+Sf2l9BWJoQNQznkWQmGkmItN5S1s3FI8sN37V/Em9Y8yFe3PweAcH7cc+miV09y5ICQgd576V/YXVDv0YCHpsLYbj+57o9uoCzYS2eXS6uNmlKQAuSdUKw9r5O7Dy+QvwtiLJ0j1Nl9BxtYv+wom9vkXPS0j2BZtl/p8c9L9qAkNUw8ZTGeFK8g7RgMJ4UtN5EMSozvklgyPfUB5pYOE7ctLzPgoOgfl4yBUhrLn/ZCATtpYmQsoMrWuxcG4kQdP6NpOV7DH4YhqDnykkrQkGOlvJTk++fc6U0q8imbXaPZ7jwriru9phmG6WDbptcXMGSlmFPnDj29uwHE2GIWiKegrAwdT0HIZrwkSNFUjO4TpSh3FBmmRs249rYfnUuzklhjpqU/3lNGXdWolyUwlCYcEBpwwEx7ihiyUkyHoh7CH0kGxFtx78/plGdtzP84s/peDHwSWAis0Vpvf/w9/H3JdKIBODJRzmAkj+lBeYBXLOqgd7vE1o2revjOjguZUysPX8K2GInIdmX5U4y7CvHtIxfygqa9PDImlXbxgRCFzeMAFC2OYhkOjXXysHV0lxF2U4kRnc+dexaTXyahREVehCMDsihVNQ3TM12A5QJVKdsgPiSKNKq095D5TBu/lfaaS+b6E95D2TNciGk51BTJucwpHfYepkwokAEzU7aJnZKFwLRsDENTWiDg46CTR2O5hBWLCgawXOU4PFnB+txWbtrxCoKJJH/98TfY+I5mivxRjk5X0JA7xjlhCZk+duB5XFQj/RBfUbIRR29gypb4Ye9YtYdhzKkY5mh3BfNrJL4+0F1FU6WEKkpp9LRb0htOcewnK2h5hfz8R7+7BqVgLC9E4fQ0yj9j9HbaAH/WfV9Q3+/Ru0/0lVBXJS5KQ9UIASvt0ZBtx/DmI6Ydg+mkgKyW4ZDjS7G2uAOAHWP15LohQNI2T2JcPiXRZ77b/3T6JbcCVz3mvf3ADcBDT+NxZ+VJyKqDHdzxjq9zYlEJbReVP/EXnkYZC4conIo9o+dwuiQT8z8rp/RqrR9SSjU+5r1DAEr98xd87Yq93HWPdNo972KpU19S1wpAwrFYeaGg1+WBCM+t3kdPQtJb+8+1yXmTkEw2vHnfjDbYpdQHRnjeHEkX1i8a4Vc9sn+/aVMenGJtgQB0zc2DvOXuV8uJFKSoKJ+kKEc8AUs52fZSkVy0ozzXe079gMfOa+8ox+fy8HsHCtGOQZPrnQxPhSkIycM/r2rwpEYfzowY0tGKoakwJbnidXQNF2HH5KesbxDm3nlux+H7rRavC/G2oXoWFvd75zsWDXHzF37Je17zUh5cPZfzpsW6l/qnODxZwbp8+Xu6tZDCRrnOOyNLSWmD7ulC7x5Nu73yldI0Vw9xqMMlN9nZJiMOCtzJwU1Vwxzryi408+b20tpZyWRuDuFYAkPbVNVI9qWntxjtZjmOfncNZncqm93QeG4+iIWfidbnmNnUaEOVeD8J2yLtOERdz2V+/iCHJiRsSWKS4zs947rgzLf8Z2zM/3iz+moC47z22nsBeGCohTn5I4ynJGZ+eO981i6RB3bfWBXbhurp7yuUL37LxMgXxSq2pmmLunGqcjCV403wPRYvp3enNJ18wRVbsJRNnduu24eNv0Ryx8+bu58DE5W09ktOe2lNn5eKMy0HZWoWVIr7e3y0hHMq3C48jdBhy7Hrq0bJ8yU4vL0RgLplvTTly0O6a7CWhSUDTLmcgLQ2aApnUbigmfbc//qyUa/QxtEKv2HzqNt+vDp3km1dcv+WVvcx6d6r/qk88s04YX+C579jB/XREf7wgwsBaLj+OE3hESKOxPlORYIf7xaW3eo5Jzg2XkJBUO6lZczISKBpyR8kUS2PVXdPiXe+nb0lLGx005hdldRUjZG4W647cGkHLW67ycHyPBZ19bJfu12rlFC1AY79ZAUMBTEr5DewU4YXJi0q6GfrUAMhX7ZKMqN8jdXDXgelXF8SA80DfcIPKMqJettZhuMtlE9VNOokOvaZKGfs2Wmtv6u1XqW1XlVWdvoqrWZlhjgaK+bAjJz6My1/uXoJr7xn8zN9GqdFHNQp/TsVUUpdpZQ6opRqU0p98HG2uVEpdVApdUAp9bMn2ucZa/kfTzaONLO8UFD1pvAoCcci1xJU96pzZ3SDjRSilMZ0XU2CNs9bIJ/3JQu8QRl7Rmu5/a413PS8OwD4471reM/z/gRI7f137ricuxYIov+dJT/hk8v+DEB7ooybah/0hoxvmprLfrdNtXYUi6v6GXeLgGoLx9nRLZaspnicFYs7APAbNp2RQmqWiUXs2VZDwfli1eryxxlNhDyr5DdstrvFNMvKepjnMgsBOqPF1IfEK2iLlBE0054n0BwaJula4jnhIU5EJavx6sZNLHprP7c+bz3fbruIeNLH3BvEa7IMhxXhTvLcbseVZRP09Ur49LyyXYwWh7mtR2ZCWDM6dPgMmxPTRV7ev6Wh38tItNQNZDvspg16eotpeW0W7/W77vv3zj+fO397M38JHKa/usArPAKw4xbz3pVtT2c9UO3t8+BEJWF/gkUFEtYcnqzgaLd8t7l6yBuOura4g22jDQy5g0CK6qIe4GoqxzuPpyr6NAJ+pzK0QynVgkzEOk9rPaaUekIA56xT/nx/nKagoO+ZhhwzCygSjlzS6xsf5UC0hnq3EUTEDlJsCQJ+W+8KkrZsV507yciCCX7YKvPklK348h+vAyC8aIy3X/MXbmmT1Nw3+p/D80t2AjCcCnPcKOfQtCj8vNx+GsvEZTeUZn9vFYuq5EEcS+R4BTqW4RB1mYaHRipYWdPF1vulX3/92i7vs6bwKF3RQprCI941ZlD1TCOKe7uEVLSwNLsQBM00Dopl+bJAHohUc2WpYCNHY5U0uIvE4t/0kj8Qp+DrMd7vv4vPHrmKiqCc48WFh4nYQT536EpAkPPLlsj0m4cn5mMoh3kF8hvYWtE+Ke59yjExlPYU3jQcVpTIeewdq6b1hJBpamtGWFA4SM8Dgg2kL+4lebEsgKF76umrLqBwIEpnRbGXNgQpyDrx63O8DIhF2nP7VxV18uDgXFaFpXtSjpnt1X+go4b5DbL/H+5ex5KGXhbVuxWXx2pZOEco2+eXHGP7eAOnS05b5mDG0A4ApVRmaMfBGdu8Afim1npMjq0H/2Yvj5F/9ay+UeDrQBlwu1Jqt9b6yiez3xX5Xd5Iq6RjMRAN05An8XqhL+qlsnZOyY/YGpMFMGCkGUnJCt81XER1iQBKfjNN4nAB2ufSUDWEF8v+XjtnEz9pX8PEsDT6GMwP89MBWQjeX/NXNsfmeEM2N4Ra6SqQxagzWnzSyl/gj3sP6WQy4MWf6bTBeCKHVReLYhlKMxiTY52YLmI4muspfFkg4i0MDblxoraPpiJR5AJfzGtDdmSkjNfO3UxfUjjuzy/bRa4hntEeu541ecfI64iz/ivHeeDnLRAAA4d3zbuXaXe4SFAl6baLOb9GQMNLCg7xgS0vBODGJTu570sbeP2H/wDAr3pXeiDbvMJBDwgEqA5NcnBCFH5l8cyZE3Bf6zwvJXi382vv/eerF1AbHKN9oTQMyYB9AG03r0NP2gTL5FrDVtKrk9g5XkdJMMpvBwWs3dNZw6uWSnegK8oPct+weG/nNPZgKO2Bp8taOr3fKTOm7fTIk0LyT8fQjnkASqlHkSafn9Ra3/GPDvqvntUH8Lun65iz8sSiUg7nv7eNA2+vJjI354m/8C+WXFJMBwMkgmfvqK6MPAnLfzqGdlhAC2Jwa4GHlFJLtXZ52I/zhbNKHhxuYV9AavQtw6ajq4xVbrWegUOOEkt5R9dCXty4i55EIQClvinaY8LUu6DpGJu6hH039GA1TZ/eSPvnshNjP75A4vpPH7mW0eE8rl8uBT5tkTJK/JJe2xybQ5kV4QfzBEm/5fev4pVzpVlFkS9K0jY9qz2ZCtC6qREAX8skiZg82Atr+/GbNnFb/u6eLKA4JF5NyEqxuryTgbgw99La5PBW2YexVlManPKaah6eKPdqGtK2wUAq38terAx0cTgl3s/VRXto+PIIqUKTgy+vpMSY9iYV+ZRNmSU9B6adAL88cS7nV4rlzzdiOG578bnBARZ+9Df8pl8sbN9EPhtqOwA4NlmC37Tp6Hb7DlLGnHqx7obS3v2Ipn3Ulo95lnHh7/6TJRUSIh25bSWpmzax7EA3h5ZWoR1F69fdEd+WxspNet+L29ZJE5MAbxLP+uZ2Drht1VYXyvkBrCzs5JZt53t/N9YPehhFWhuMxf52oOo/I1pLU9HTJKcytKMb2KK1TgHtSqmjyGLwuL1Jzjrlv7ZiH7/rWw5Abe44FyxsJeoqz56RGs51Y8zLao9ia4MTU+KKL8ntoSp/HIAfd6/16LKJXOC+Wmq+IA+N/6/beE/9jQDoiI/fXnMz901L3/i2SBkjLv12yg5yaLqKVx0RjoFfddCVkmOdl3uUHWP1Hj3Wb9qkCyQcmVM8xpFDghK2DZeSnxNnXrHEz4tKBsgx5UHsixXQFyvwrrvQF+PCi4SLMJrIxaccr0fgosJ+0m697MJyWQSKTcE3tsbrMd2Qo3CnTfMvRrj990tAKbZOz+G8XCmS8mnbGzKyc6qBNzY/4mEk7z/wQgqK5fVntl3Df5z7gKeANTccwN4i38v3J0g7Bkub5TeI2xbLiiTFuW8829gkI629sihpR3lhUQKL216/gld+bxMfvfkF6LTBvLcJ+t/6zbXYKZPWHvnesoYez30PW0mCZoqtnRLu/dvCbd6glB8cWectLoemKlm74DjnuJjI9vEGlhXI65Rjckd04d+c5z8rp5HeeypDO36PDOj8gVKqFAkDjv+jnZ6xqb5ZOb1iTdlc8N5WtnyykVi5/5k+nX8o91+xgKLRKMu2dz/Tp/JPi0bc/lP594T70joNZIZ2HAJ+lRnaoZTKND+4ExhRSh0E7gfep7Ue+ft7FFGnONzjGZVVq1bp7dsFD1n2549RmSeo9FQywPryDgKuq1/unyTPkPRUZ7KElaF2D+zKVUkGbUnvfLnjcpYUiiWYTAd59MHF1J4rFqohb4xHH3SHTGhFujLB187/BQBH4lV8Z+8FAPzpvG9y3ca3YE+IIv3sym8z7oilT2mLQiPKqx96HQC+3gD1ayU0mYwHmetO4TGUZjiey5HjYhVXzu8g7hbyGErTmDtKv+v2zwsPeANJ0y7AVuaX+3B0KpsOW5zfS9T2szxX+hr2pgopNqdZcXMnFT0TbPuShDtxx4eNgemm6up8I/SkJZ333ZZmBv6w0JskFJsI8qY1DwJweKqKB7ct4qp1uwG4Y/8SFjeJBxqyUqS1QVWOgKl3ti5kXpV4Io5WXhpu92gNIStF2HW3/UaazZ2N8lvXdeJog/X3tPHcn+/lOe9+D8pdq3RaoXyO147NKEyyolEWCEs5xG2LNUUdci5G0ht//X+H15OKy3fOm3McQ2ke2CsA4PIFJ0i699NSDo5W/OWir+94qjF4qKVaz/vq609p2z3P/fRTPt4/I2ed239pbav3ekFOH52JEqZsd8x0Ko+2lChCmT+CX6XpSckDHXUCBI0sdfOgS+mc/n4Ni9983GvEcVHhEbbOlTi+uWSEl1Zt5R0Pudhl3KSsQRD2ae3DdzjEmisFqT+cqObOkSUAVOeMc13hLt6xWmhrm8ebKfDJ/vcmq1lZIM1IHh5pwVIOl7hpNEcbXseZiytaOTpVQW1IYveRVC4N7nTf3ngRuVaCsCUL3eL8Xm47vhyAhtxRmoODXpruc0t+S+dYCQt+1s+mXzd5iP7KQBc9dh6bpoXp9om91/HmRVJy0fu7xdgpg6SrMB/d8GcORAVnWRzu5dIrDnHXqCyQgbyExznojRVS5p/i/Hz5jYoWRtk5np2pcHRS3PVrq/Zze98SDnZJmvTcpi6WVEvWJG772NdTxdbaBl4wsptlA53sb5Zjr27pxG+keWjffLlfk35v4IajDVYWdrI/4qYPHdNr2LG8qtcLkQJmmoRtsWbRce+8Mrn9qbSfQ+1/G578s3Km29WzTvln5clL/aOjDC0IM90UOGlqzpkspqMJpFKkrNM7RedfKacxz/+0yFmn/MOJMKsKOgC4b3Qh1TnjHli0eaSRt9cL7/+eicUcjNcSct3+Zv+gN0EnZKU8Blz7GsXm87/Bu3a/FIBdUw2sqhYXPW77+NimF7B2vhBHPlH7J17ytfcCkFpkkJwXY0mehAst/n4iRS4X3kWe5wbEzY0XWMwPiGWzDJu2qFjA55fv5q/DSz3SzlgqyLIScaF9ho3fTDOcEDAtx0zRnxAAsNAXxVQOvXHxasZTOVzbKNOIF+d0k9IW71twFyDI/bkPdTL4nDwKjWxPgX47zMF4DT85Kt103rvkbo8b8R8LHuSLOy/nAyvvBCCgUnRGsxyGtGN4HPjEUIjeqkJA0PJi/7Q39PSnu9ewuFHuz5H+cpbVyusHh+dxSXkruwJx934pD6W3lEM6YfGSwDacfIPDtVVcOEfarz/UOpcLW9oyjX5pecsWNt0qWQfDcqApi/r7jTRbTsj1rG044Q0ujdk+HJ0FGLe0Nnr3RCdNCStOgwjaf2ZDamed8g/Gw/xoVPgNl9dIBd+oi8B/tPF2DifElZwf6ud/j17Afy2WAaYHEzV0JYSJlnRMD4ldu/YwL9l0Ex+okVZgKW2yLSZx8df2XQpTFpXudJ+r73oH97zzCwBcu/nNmCdyeO2Fwvj7/dR8lgclzj6cqKLOinDzoIRx3bFCFrnjtZOORU9UlDhgpKkNjXmodI6ZPImtuCjc51WfDSTzKXdjfJ+y+WPvUp5XLej/wtw4rTEJYw7HqqkJjHm17OVqkuoHxjl0UyUx20+jT0KHUTtEc2DQe0APRGs8opCjFZe1HCGuJYty19BiT3mK/FGGEmHq3HBkcmGWleg3bVqnyvnFbllQDJ/tufZL6nvZ0SbKuGJOJ9vGsky60IyJSwDnzTtGrMdH/niM9x+9kx2VDcTCfjbMPc7Dx+Zg5sn2R7+3moA7t88w9EklsmnH5LzG7KzETFwft32SdnSzKjpteI1D1i0+RtIxOcHpkVm3/zTLaDREqduL78BEFY25o148l9Qmh2PysEXSQT656E/43CGPLYF+D/w7MFHJeFwILn+98GuM9NZyxC1LfeWmf+eFCyWvv6b+BD3FBfxhm/Se++NVN/PiPQLi/Hj1Lfx35bWMu7ncdTnHvKGdLYF+DidLeWOZgGSjdogy0x10qWzeVifeyaOReYylQyTcn2EkEfawgbAZx0Rnq9HMBKWWKH9rvJJ3N93tpeaS2vJAwPqcEQrNKCPuZ/HDfhJhH/11hSyysqnhnlQxQSPFefUS+waMNAtzZIH64qHLUUpT0Tjpbd+QK1hH+3QJacfgiBu/W8rxmpgOJPLJMZNYQXfMuGPgy5HXB3srMXzZWYNpbZxUQbcwnE3FWcphoKqQH7zrPFZ/8hA3FO7k3z7wetqqK1g/7zgbD8hI9nlv2Eb5pkIAplIBDKXZ1y2//8q6bo8/MZNpl6l6fPio7GPVgg62H5TFfsu+Oaxckl0wnqqc6W7/me2XzMpTlsJDUYaXhJ/p0/in5NErWvi4Oo8fXraeN/z1kWf6dJ6UaE4tzfdMLhBnneU3Dc2CfGGNZYp4Mu5qV6qEmLva21qRayQ8dzWoUnztuzcA8NGbfsafR5Z5+1zz0FvQg4KCO4Upft8mY6vfvOhhHt1xBYSzfeHG+gQ3eKvxMiaiOfgaZf/9dg7NLkNu1A5hKoedccka/OdfX4jt7uPD593O93ovAqAiOMmdm5azYbVMndm6o4XXXvyge20+LxwAaMkZoNMNW0p8EXZMN3FfvxT2zCscYjQhacD1+W18qe1yXtUoxBjjIKQWGlRYE5SZcYIZwk/oOP3pEBUBd4JvOkBvqhCAnyy/hc2xZv7njucDcNPld3vjxzPxcqZrcdI2OTAh1rY8J8JAPJ/r5kkhUXe0yIvBD/RXeq3GQEg5mdDLUA7Hotmy7QXhfo5OSxjT+oNVpB5NcNtfvsA7r72HTS1zvbi89dZVVCKZBcuQNN3ahhPueVlsO+LO+zM0a+e1e9sBrJ3bAQg2kAER1i49zpbW0zcj8Az3+s8+5T+3rMtT+h2Ddawo6/FYcaZyPPBsRf5xWhPZds2tsQrOe5nE52XWJM8rFdf+Y/uuZ+9FO7lkz78BsLB4gAe3C8vrsjUHqb1yhO+2SMHHq978HtRadzb8b8tQV0e48b/fB8Cn3vsDJtzzKjRivOXgyxltE5Ds1ud9h3/f9io5j3ill1qKpIO887K/elhERvEBxtK55JsxT0H6koVenDqSyiOgUryhUazhg+PzWVkkeMNoOpebmh9iaVDy33Vtoxy7oIyUNhmygx4XwYdNiTnN+rCAaccT5fz8hJtqroed4w3McctnO7aXeEocTfto7Slnab2ECH7T9lh2w/Ew5xT0kHCxgrJghLuPST79xvk72TshKTtDyXjzjHYU+GLUBQVD+OHhteQ2JL0F/aol+0kssvjmeRfzrtfcydduvRTcFKTKTXlDTR5pncOq5k4ePSLzBc+bf4yV8zvkHI20RwPevG++tAqfMd57zRIJfdLakGaip0M02cagZ6jMuv3/n0vhkRiT84PP9Gk8ZWlfVIqDonRy6ok3PkNk1u0/zWKiPR77irIe8n1x77NCM8qSXLF4iwI9mMrxEOtNE3O4qeJ+AG4ZuoAPV0kaayBVwJLb3s6V63cD8NrSR3ioQMCg6+55O1ZuEvvHrrs65lDljor66kd/ySu3vY5PvfcHAMzzDXPVH94DwE+v+yY/XnIr04vdmoN4Hec3SqOMkWSIDUVibat9Y7QnyrkoT0g+W6fneKy0Sv84CccHrsUNmUnmBSVd6Fc2HclSupPiWVxadIhDMSGnrA0dpyNVQn86n8BQCjPlEKv0efcuV4n3UGxGiTh+FviEoNOVLGZ9hbjGv2xfyQVVxwm7nP0HOhtoKc2yEi+bd4SBuJCRMkg/CCh4eKrSG6dmor2eBvsnq5mbJzUMv9u7nLUtHV759UQqh8qAhEzr6zpYl3+MzZNiwS2lWZknrnz380t49+/u5k+fXo42RGkSdvYRDvviYGf7HGYIQH7D5oH9QgxCabRPY8zoCLytLZt5OJ0I/Szaf5rFRpFyFeLyooNsm2ri5cUS35o4VJqSlsszklxzzztYMU8enLRj4LiOTsBIszkm8fjeqTpecdEjXJEnabPbxldhuA0kauqHuKziCM/N3w3ADX95uzcK+2Ujb8COWV7u/Mq/vgvysui1jWLUFhd7Q85xxt3X/clCT8HvHV/EhQVHOZ4U5Hx9uJX9MWHEFZpRdsYaeG+5ZAa60nkcSIjbPGUHCRgpfO7DHTISHlI/ZIfJN2I0+8YpuG+aoQvCHqp+LJVt7nI4UcW5OSe8ir+1oePsn5b9X1B1nDuPL+BCd8GqKxqndVgqIueUjHDXvsVeAwxHKzpHi7x7XJs7zvEp2bYiJ0JNaByAE1PFHlfAn5tie2cd6xo7AFiVf4Ltk6KAlnJ4dGKuF76lHZODUVnYjryjkre9815q/2uc73zkIjb1NOG4U4t02mAqlfVwNh6cy8VLJBX84IH53vvKQBYALwevYYZ7vmZBO508dclw+89kOeuUfyCez4XFUonWmyrkgrwjHE8KWNToG/a2i2uTd6y7h1U5Es+96tHXc1eB0G8dbfDn4eWAUHEn00F+PHweAMX+aX62/nuALAQOihse+A8A/vM5v+Uze64G4Jsrf8ZNW1/Bqx6V1N/XLvspeYak6UqMOCNOkPsj0qFnNJnLhyuFdDPq+DweQWVgklwjQdDluD8amUe5Xyxg3PERs31eu7GQkfRKblv8/bQmKwm6acwF/gGibmnuuCMpzIPJctb/9Ri7X9RI0LX2NdYYb9z5CgDet+Rufjm2lj63duCK4gPcc6+kNK+4bAeXNR+hJ1oISHegzIMcty0uW3oQ2/37/kPzqa0e9bZ79K5zuOxqabgZs320T2WbeO7ulGpGrWFZfY+XngT4YPVfAXhweh6G0mybbARgdX4HOyOyMFxUe5gXvu9N/PCbt/LOD94Dn76MR7vFQ0Arth5s5tJl0tzmvn0LPf4+hvZGlmMI1pBJOzop02sYomyVBQmfqmi8MWNnqszG/P8fS6LYIjh++lpRnwkSD/j5/P9cRSzk4yPvvJ28aPyJv/QMidan9u+ZkrPO8i/N76HaJzHlxkgLq3PaCRli2f6761reWXM3AMVmggIzSq772fLGbuYEJb49PFXJgX7JBJQ3Rvjzo+fyuaulcu9QvJoRRxiD1xXs4g07X8UPL/w/QKzvj1ffAsAfJ1bwnDlHubhQ0nTnBgZIuT+kgcS702lJH36w8i7unJa0XHeymOsLxDJ2WCXYWhHXQjCKOn4a/eK97I/V4lMOua7xGJ1hRR6dnsd5uUc95H7UDmG4pP2QSlJoxkk5iqLuKEuuHSBqiTs84Vi8b4ncn/n+Pm4+cok3iefRiRZ+9JKvA3Dr0AUU+6fBddkdrahvkHu+Z6yanmiBl0I1xvwky+UxCuWmyDt32Eu3Jh2LmpCEYfccXHgSwh40U7yhUrIb26PNfLr7uQCck99NgRkl6WZOvnbgEs6tFhznNwOrWFXXyeZjTWx9ZQPfu+0nfOk7v+aN73wFLa/fRvGjJdy3TzI1l59zkHv2LXJ/EI12ZyUoJaPEz2sWj/Dhg/O49BzBXO7fuRjM01X8oM54tP+sU/6xVIg740sByLPibIs1MZgU1/XdNXfid3PjXek8jsXLiTqiWGnH8KruDDTLXLqtZdi84uJH2DHdCECBFWOPiwcMJvOJRwL0pyXOr7bGvP0/MNDCeDSHm8oFRIxrhc9VCL9SzPWleG3pw3KehsHlbtOM8Rwft41LSq3UN0VcW0ylRTlXh9s9JX5V4Q7+YC7kT1NSdZfSJouCEmdfnbcXQ2nvvOoCEXzuc2aiMBKanC9F8E87mFcVoNxqxlFHsSgg+4g4QQxDe7MBc60kr98pA0kuaWilJ1ZIlUtrnkwH6Y3LsTqPl3PFiv3cvUm4ELo4yeCgfFaUE2VDRYeXir1/7zwuWyE1B1ct3u/9hu1TJWzrrGdu7iLvvXlh4W48N28PO+INXFIki+qK/E6+sf0S+d1Mh7XNHaxpFhznzde/nDs+czP//dDv+dAPb0Ad05hBCYXuOZBtyqFtxbUrpHPzX/acg7YNHjogi7FSUOJ3ax6C9uktfDrDAb+nze1XSt2ilBpUSu2f8V6xUupupVSr+/+ip+v4zyqxNTl/ilH04QmKXztK2XmD+FrT9P+sCKwz2/o8FUlZFl/47yt5zp8P88Ff/hXDOYNKFvXpTfU9Ud9+pdRrlFJDSqnd7r9/f6J9Pp2W/1bgG8CPZrz3QeBerfXn3Av4IPCBJ7NTRxtUuKDYunAbC/zDRFxLsy9Ry+qgWIXxdA4pbfLF+64BYP25R8lz+/vnWgk25AkzbGWglx+Nr6ErJutQjyr0CCEVgUletHwnH9p6PQB/uOBbPOi675F4gDXVJzicFHZbmTnJUn8m0+DD1ppmdwptRDuk3B85pU2uys/OFwAYcpuM9KcLvam5XakSgkaKgZRrVa1pgm7TkgxgmNJy3eW3RPH/Kcb0jTlMXWCS+lAeqRb5bMxJMOIi2z7l0JUWLynu+EgkLa4pkXP5Se86bl4uoc9njl9LTXjCy47cd8e5fOllktLsnChkU28jjjvJ+MqFhzgxLfeuIXeM4zMAvutX7/BCn4F4PnE3LVeZE6G4PkrbtAC1NTkTXJ4v2ZbdiToa/UN8p0+s/fYT9SxrErd/f3c1ScfyyE6G5XBnchFbP9nArd/9Ied9/Nt8/NXPY9fc+pNdfZ/D7bvEU1GWDEq94VwhfP1u73J+s0dmELx0xTZ+vn0Np01Ok+U/lb79rvxSa/3WU93vv3RWH9Jr/GL39Q+BB3iSyj+aClHtssGCKkVcGx7CvcDfx7a4IMNl1iRLQ10cOUdoopPJoDf66rnle73qtp+Mr2YincOmnaLUKFi/Qlz0hGNRExhndZMkf1qTZXz/mGQFvrTk1+yKNfLdE9LZ5yPNtzPkKlmeASkcCgxx5wPaIuoqboGRYE+yEIBqa5I7pxazISQL0bidy4vy5FjdtoQXv0vJgzmWzmVLdK53H5YEu7wQxPxznMh/5pNaFyCkLBw0A+73QwqC7mL2u8llXrntG4s3s2nt9zmemRs4UcBHjsgi11QwSl1Ottpw/eX7+Va3KOPcomGGN4xh/3axdy6tuyRMqjtfyqsz5dJtkbKTRmFlZhCEzBS/O7QM052UHGxIcfekhHK2VrSZFUy5hVZ23GRPu2QJVs85gWXYXqXjOW6JMMAnb76Oi+46yre+/lNG8sK866YbOVpeReZH9ednx3gpQ/O7fcvl9Yy5AAnHOin//9TlX9q3/0nLvzrmr9Ba97mv+4GKf7TxrJyaxJb48O1JkVoXeHoPpDVLt3Rj6SHsP0UomIoxXw1yddsBCmJR6m4doauyiMMrqjiwoprOyiL+GQUwUw4X3XOU6u5xxodCTIUCbF7YhGrSjx+oKsXDV87jF3lr+J8f/Ia7P/xV1n7+Q/QXFz6VK35qcupRyOno2w/wQqXUhcBR4F1a666/s40nzxjgp7XWSqnHdYweb1DnJUWHOZEQEklUB8hV42zL5Pn9Qx5gtmmqhbbpMo/gMuX4PYZZmTXJ78clp308WkpNzgTXb5B7X2RFvV55vbFCwmbCA6M+uPsGXrtQ+O4/G17H68oe5up5+7xzq3bT1gYGCZ1iypEwI6LTlLpewLCOU+Z21o04fl5dsJ+dbpOOqOOnPS235NHYPNblHPPKeOPa54GXXfFi4tri0lxBqQfnh8k/Gqc1FcZGYWuDGpcTMOQotrhhQpVvjOGUkIiOp/LIM+JeCPGmeQ97PQEMJbXxmZZY64uOU+wvYP7GPl760W0cuLqaIycCTIRyONZYRndtIZPhILU14+S3xVm0vZeXfH8bWsHRFZUcPreSifU5HM8pA6WwtaK+b4TXtz/K8o1d+BNpBqryOby0ikhBgCt/dxCt4cA51SRyTBbRyytu3UzOt1PsuLiBW1o2sG1+I+ta2qnoi7BgZx9FD09zYVsrvgmbrfOa+PRLr6H4/UfIVwbHf7ZixnMHqagP0y0OslMGhovwO1qhjNPkqz+5PP/p6Nv/J+DnWuuEUupNiGd96T/6wr9a+QeUUlVa6z6lVBXwuCOF3JXvuyANPDPvH45VU2RJbXylOUFPOpd9UXEL2xNlxFwFaQn2E3P8Hhnlmso9tPjGAUhodVI/v3NCXSRd1l29b5Rmnyjc7kQZUSfAh/4iXX7KtyoWrRBXM+GcXCteZtok3LP0YRNQBmHDjXdTNmPIQhDXikp3QRqyNRHH4dyAYAWtiUoKXNbe0kAXNobXIyCoUmxwi3AaC1OM2prOdAFGwmH+DwYY/GTYS3nujDWQ7zYyDRkp7h8Tskt5IOIRa17zyGtRpuaX54mB+Xz31V7N/o6RWjaUtjMnLGnHrngxzTlDXPLnIzz6+rl890UXMuHOIZz8dQ2ffZeQou6dXMyji1rY+uJm0JpzhrrhQViyq4flP+jCb9sMzQ0TGkySO5nkwEXVbH91I4squ+naX8ySvT2EIwm2XtRI+2vK0KZi93gtewP13MYqajpGWXZPD5//9W1UnpgEDdGwn8MrKjm0uopXP/c1HC2vQBsG2lGo58oP4rOyzEvLeow51lmikaE0zozKw6cqpzGH/4R9+x/Tqff7wOefaKf/auX/I/Bq4HPu///wZHcQNuOsCHUAksvvT4dYGhJAqDNZwgV5Qul8ODKflmA/14Qlfk9pSLku6Au2v4lfrZIH9nkFu4hrHyO2AG2L/NO0prKTbPLMGHfe8CUAbj7/Ej75JUmHTc7RhK+OU2GJ4i4O9FLtKnV7WrPA52fMEcafT2mGXLArZNjE3afioydewLridp7n0oeXBrvxu1S0oJEm7lisy5E8/O54vddpd8iG1lQ5zb5h8h6IYVY5dF9SBA60+CZZFOjxahrumVzscdxDRpIp7XIPVt9BS6CfP06IVfSbaa8LMuAtOvJa4T+SombLGL/6xGqcpCLPL4vZ0jdu55Z+Ge2d1jIy+9JC8UhuS63Ef32aTdfPoS44Svy4RWX3JLGwj65FJWzqbZT9pw3e9rIHGHpZHlsnmkg7JnVqDBxO6s7TWltJ2bum+dDrX0ggmsLvt7mjbREZ+t76ecfRbXLeVjCN4Vpx285eSzLqxx/Kxv9mILvd7/auOL3pudO3ryfs258xqu6fz0NafP9D+VfP6vsc8Cul1OuBE8CNT9fxny2SLjMJdKbxD6RJVjxNP6fWXPr1w2x61RySIQuST/yVvxGlGKrOZ6g6X/oBqKeWlkuEfBgmZHm7Z6CcJnqv1jqtlMr07TeBWzJ9+4HtWus/Am93e/inkZmYr3mi/T4Ts/qe81T22zpdznPCQhy5e3o+g6l8VoakGq09UcaP+mXs1oJwP0uDWbwjpRW73cKYH638ARE3PMgzkhha0+DG1h3pgFdUMmqHWR7oYtRtDf6n7ctp+bb0+isFfjh3HeurOwAYyC2g0B0gemvner47/6d8pPMFAJQEpin2SahS5aYDAQ71VbCyqNMrVAK8tJyJQ0QHKVHiPfxbXi8O4pJOaZuQEhyC5Sajr8zl3Dd20frHckZti650iZcytLXB8jy5D1N20JtwvCzYRdyxPET/quJ9PDwhBTDxtI9tI/VeX/1X3L6Zos4oP/3sOm771YUsurrVazE+N2+IhpB4nA/0tXB9/W7uGxeCzbkFnRycEsS9yDfttVi/p30+lzYeZVWNnFc07Wf7RCMAuWaSezvmsd31cj9+7u1eIdR/PXIdoSVJHj0iWY9LFh720HplaDYdnoMRkOvRWpFJ+zspA3MGip9KWFju36bpYLvzCQzLPq2svMdHtJ68aK3/AvzlMe99fMbrDyEjuk9ZzjqG339U3kudJQpRaR3hwegc3r1DHIgb5+/k2lLJWx+OVRFUaY6n5CHNM+Is8Pd7+8mkyapNOJF26LXF1S80EtSambivl92JOq9g55dXfot79kmKq9SK8Kb5v+aLbn/8pcEuetxxXd+c93NCyuFz9TKTdNAO8epNMsDjDcse4aALpF3c3IZP2fxwRNKHfz2+iO+t/DEALb4pfGqcBkt+ImeGDxnAZFuqyOvBn/+KKJd/+TBDE7nUFUUoNKdpTwgImpih4IZyOBoTWnNvsoiLwoc9cPNYdHF2VFhPMZXVYywp6OXy/zvI6ts62PrjRhYV92K95AGOTFWwsCjbTSmTr7+wSkKUzNRen7K5olgW6s/svZrPLf8tANN1AS4sOMrvBgV0vbjkiNe4dDSdy7rGDlbkS8pzaaCb7w9LWPG85XsAuGyReLT3Hp6PkQHukiZmTtqr8kODdr0CZWjv/csWHeKeQwtIJ+Qc/aGUB/gFQymmIqep94FWJ1ULnokyW9jz/4HU/GGCoUvzsPNOY497rbnxM9tZdl837/r2jUSazryJvme86FP89wzJWWf5y8w4m+NiObdMzSXlGCyoFCvUGSvmBYXC3Foa7ManHK9rbrVp0GvLCh9x/OS5yPh+l9ue6fJ7OFnOkPudMnOaSmvcs+iL/QOc73L0X/3w63jTfDyruifW4E28rfSN8+OxxbyuWNpsFZpx7rlAimYOp0o4ERMWnKMNfnQkyyi7sumwN27MpxS5yibi+q4TDrT4pLlGStss8I0Qd61l7Y4xBi8Lk2fE+cvUEq4MH2C7ltZjTcEhCtxw5OGxFtYVSkFLJltxVYF4SpNOVrnv9C/ihrt2UXdglC9//3Kur9rF97uFzPSK6s10x4u4skhSnNummokkxQN5pL+Zq2oOclGhgK4Tdoib24QcdEPLHu6fEC7/ZUUH2DbVRJHLqd83Vcu6fPEalgS7aAiUsj3SCECxOc0lBWLpN0ZauL1tMf+1XNqxPxScg+NkCnY09qQfIzcLWs70AjJ8g/vb5nHZwsOcWCO/cfsvlpHjdhueng54vRxOi5zh3P6zTvk3x+q9WnzLsImm/Rzqk/z0+5bdTb9LXz0Ul/i+1i/pqx5z0quCWx7o8/Y36QSJax9/HpF9vrvyLoKemwxBlabFDRfujQrGAFBQNM1nD17D/ojkyXPMlKcQb938cl6zdDO/mxQk/VWFO/ju6DrvfK4olHKH3lQRtfPG+OF++ewvRxdz53FJy33wnDspsya5wGUzFlk+EloeUlMpfAp+OSlNSF+xdzM7X9XAcDyPQ9NVbJ1o5IYyqRwcSueT74YtLy7LTmvOM+LcNbmE5blCh/7j8Aqp5AOu8e3nLT94gLd+6WWcSJaQnrCYkzfsHltzQcFR7h6TIqmRZC5Li+R+5loJuuNF/LJV3Plrmw+yoFiyuT2xQubkCt5Qbk2yIa+V9oQ0Eok7Po/GvCjQw7Jgl7cIBo2Ut6i+uGgrc5YMemnZy5qP8NdDWabh+qWtbO1oBIQZmGn0qW0D5br2dszinoMLMH4qfyutmZ4OuNspnNM5aGNW+Wfl6Zai4SiRqtPXp++6X+zhwAU1nGgseeKNZ+Xvy1nQzOOsU/6gkeL5ZdJ591Csmqvz9/D6Qcm9R50AJS57zqdsdk7WM7dUrPZDUwt4XoF8z9EQcnO7jb5R/Disq8nyxOMZ4o5hctAJ8fsRseBJx+JatxBmbWUh7dEydvWJh/HWhQ+y2PUQ7rvg6/TaOUQcUUhbw+GIAG0D/nyuK5bzGE7nsT63Fd85EnL84NB6b4jG5sk5nBPu4oP7pN34tY0HeH3xowB8a/giVoXbmRsYwIrYBOIpjAJNUKV4fdlDfGvgUtYF5XrGnQEvTx60xrljWlzvrkQJJb4IvxgQlmjHRBGLiiV8ir3Sx6qbhnjzjx7kl69bzXAyl5+vy7JNX7b5jZ7Lnu+LUeiT1x3REhbl9ZLbKByAyVSQRWHxCqK237PgPmVzIlnq7a/YmvL6Ee6L17Eu5zjnuuXL2+J1HtrfkSpj22QTFxRK6GWi+fy63wDwwe03CEnHrVVYOS87d2d3Vw22C/Apn43WCsuXRfsz98exDVLxMxPtfzrkrFP+/+28iGk3xvzC/F9TZ8UIBbOJ51yXqHJR7mGuDB/w2mDV+cY47LbyzjUSXgON9kQZ63Nbsd348PxgnG5bHt6fReayO1LPw+3SKiqcm2BrpxQOKUNzaeNRVlS5D+lkI41+cWtLjGmmnQB7YrJta6KStUWi1I422BVtBGBhsJcfDZ5HS664xhc2HOOB45LGeveye70JQwCNwWH63Sk893TOZ+nCbsqNSer+NEbHpSUeTXdxoIfXlT/MxpiwHrtSxV7h0NFUOcNu9uPy/H1smm6hfdzFM0r6OddF2B/wL2D0t7lseMcxFnyon//9wsV8/6jE/Puma6nJcajxSzgyYecwkRa8oNg/zXfvew51C2URvL56D80BubZCI8rOmFz3wXgN+yK1XpgxmMjz7sHhWBUbQse4c0rCnzr/KB3uQlFmRVidn52o89yiXVmsQiseOdDCpUsFH5hM5XgNR+xJP+edIwtGrpnk3mPzvFJaPWNuX/1L9tD+i+w8h6csZ7vyK6XeBvxEaz32LzifJ5Svz/2ll/7aGA/x+YFLuWWxVA03WYopLSt6geFj1HHodRtlHE1WcDQuOefXFm2mw8UGpBR3inFHfqk3dl7D9l7JMTtaYZkOFzQJGPVgW4uXH76w4RgJx/KGQZqWw0PHWtzXYl0yKaQNde1MuqzBoJnyHvSkNlkU7vMGVCQdk3RCrm3vVC2VgUkurRPFzTNi/HJUwEGdhF/ctZK3HHqIml+Mc8unz+NNpdIVp9hMM2TbVAbEA6q2xryRXylt0efWEdyvF/Gn9iVUXy+puPgjpZyb0wFAa6ycI+EqHvjafN72sft413/fxR/+ZzkYirCZoNQ35S2qpVbEo1vvjtTx3A07vV76NorbR0WZ5oYGve8sCXaxobKNnnQhIPhMZqDq1Xl76U/nsTpHlHzQzvM6N0WdAHlmnO0uzrJP1fKhcrnuFy7cxa/3n+s9JyEz6c0aWL+0NTvKG4WTNrhmoeAud3XM9xaC7tuWoJPPHst/KuhGBVI//Cu3ocCZHcj8fypGwmH9H47xvlfdwc5XfIYff/IHlPVE+MaXL+XImqon3sE/IY5l8K1PXEx+d5zzvt72tBzj/2vR6tT+PUPyhJZfa/1RpdTHgCuA1wLfUEr9Cvg/rfWxp/sEHysVpmLCEdd+eWCScysf5ITrsiewsV1fq9dOMWTneGHAc0KddLspu6u3vplLGsSiNucM87PhSjZ1iTUxTcebXHte/XEe6ZjD1l6x7h84904+v/sKAO47Og9n2uelltJxi9VzJc7c0VF3UiWrTzmsLRRLdln4AA9HpXfAH4dWsLqwg5eXSaVgpRkhVCuexZcGnsOcwAAT6RxKuqa46o0HSS4waX13GRtXzuGc4h56E4XMZZB5qt+zqtvilQyl8z1u/uqcdr4zeDEA9cFRzxVOaxO9rYAF2yX86Y/jtQWbSOUwFM9jdWEH5MGvvrGaf3v5Zgar89n/wlrieiZxSNPg9v7fqRso8U/RnxCv6tyCDm+7jngp4673Y6IptSJemFRqRbxUa7GZYNzJoTMtv9VoOsyoW3cRMpJ0JUpYlSf3MqhS/HlaQrI/HFvKlQsOcnersAudtOLCebJgPXJ8DnY8U3KpUYbmL0clS6Add7w3YLu//2mRZziHfypySjG/W37bj9Tgp4Ei4DdKqbu11u9/Ok/wsRJWfkKuP+WQ+dHcttI6RZ6SSyo1LIIqxkd7pJNPWhts7xF3/gIXVAPYE6lld3+N9/dl9Ue4q0PizZ0DtVw+57D32SPjLVy/QAC/HCNJ0EjxxiIB7zrSPu6fkgfParZZWXCC7x48H4C7DiyieuU4APdMLeY7eyV+vnBOKzfm76bVnZGXxOTr/cJ+zjUTRJ0AwbEkr33Po9z/qvk8+BI3DvaNYiUcbzpxSlscS7ldcawx/jK2jC9WS7//Fx55MfVhcZun7AC1bupwbW4bJ64ppswd+31j8RbuikhDjcacEYaSeSx0QbetBXP4y3eWcv2rdmHUaJxLFJNuU5AJO0RXSrICawvkvla51ZMjdpgJl0G4Ia/V6zzUnSxmIJ3vjRE/HKsi5jbo8CubDTndHHRhHNNyaPa7g0VSJWwIH/UqMsftXK+w6ovLf8OfRlfw3PmSbl0VbufBCblfz52/zwMNzQwO4D4zd7Ut8HL7jn0aS3rhjFf+J3T7lVLvUErtQEoEHwWWaq3fDKwEXvg0n9+zVvzRFGu+1M5Hr7+dg+dX8fBLWp7R8xlvCnHHVxbznPcfIu9I7Bk9l7NFlHNq/54pORXLXwzcoLU+MfNNrbWjlHru03Najy+/ny7xwKENwVHCys+vx1YC8AHXfQbYn9L8YPg5Hl/d0QbrauUSHjoxx0N4DcNhRVWPZ/3v6cxOd1le3st0OuAVxhxwqumJiWv8mdo/0ZHOZ19SEPiIk8PcgKDc8bCP7x44n9V1gp4Prh/n2KbsFNoL50jI8fmau/jZ5GKP134kWsFDHeLGfuaeP7Die118/fuXcHxlOX9pXcIlTS5qH63gJ8dWc0ltq3dtLyuRa98Sncvi3F5+MCFeSHt/KR1K0HJ/IOWltQ5UVXNjxVbuHBNr//rDr+bfF0nRUtzxMS+3nx1RCYV8ymbvVB17F9RR9JEo619/nLY/TJGqMIlry7P8ESdIgRkl4tZJDKQKWJ8r5+hXthdWXBI+RH86n0bfqHe8zECSXCNBSJk0WuMA7EjU0WhK4VCNNcnhZLkHYNZYYxxzpx2VWFMU+qJeSbepHK+Y6rdHlnH1XMkCZIqo8i0hEd0wfw8Fbq1IxA7yqxmg4VOWM9zyn0rM/4l/8NkT1gw/HXJFjiDZaUwOp1JMuoh+xLF56YHXALCkpA+/kfbaSG/ubuSKRnHhfZbt1XjbjkF5IOL9/dJ5Oyj3yYP4/WPnsaq8ixe5zSXXhto8t/EPkaWsyjnuNbncPt1ER1SUIOlYLKvu5UaXUVd4PMo7v/BmAD733u9R7NJt9yXDvDb/KP87LvHnXUcWYrlVad8+9wJqrh2j8mcTfL3wEi5pauW+42L937fsbnLNBEvduYQXhY7xB9dlPzpdiWXYtK6SBfLdB+/hy7suk/uVNlnlLkhJx+KD215IVek4ADXF4xyallRoNB3gi/V/8GjUjb4RaorcCcEvNpgcCNL0mmH2/rKGssI4x5LiUrf4B/jt2ErCphx7ZW47RxICRhpKewremy5kbSDbx+X54VZ8ym0WGqsg4oxx1A1j6qwROtzFJddIUGZGvO91pUu4ICShRkeqgHeWPsoOt8vTpqkWilzlzwmmPKV/4EQLVzcf9JqATqRzvL6Gvz60ghct3sUXeOqi9JmP9p91ef690TpeHJY4L+GkKTNtmnOEevqVoYs5t0ys9PbBetKOQTwpl2iZDne0izUM+NJcVCdgUNox+evxRayuEaUotSKedfz+kh8R1xbjbpVaSlseiej5efv4beQcL5bsjhd63sSu3hq+fu7PqXQf1C/2Xcm8V4hF+tHgeXyu9s+AtO361NB6ctw6g5uWP0xbVCyZ1WTzl9xzePUHHsVOmdzf3uKVrn9p32XctvY7Xlny3dPzOTqdHUfekjPI/bdJpWBz4Nd8drVUF35wyw1ZjwfNhXNavc4+c3KHWBESz+i3wyu5c3quF2sHVdpTqqX+Iay35zHQEaDxraMc+34JJZbck9ZkBavC7d7fddY4pnu8STvIxTniGW2Ml+GA19RkW7yW5e48gWtCwxxJ+ai3BJtIYlKILJYlRpQkJl0p6RZcaE4TVBmy1gQHkgWUu/c8aKS8+oX/XPxHtrrA4Avm7uV3bed46b0bWvbw21ZJR5qW440GPy1yhjP8Zqv6zmAxbIe0V158BolS7PhkPcrRzPnP4Sfe/tkqs1V9p1f+o2Qzt02LK3lNKEEYi76kxJKG0mzpl7Rc2jbQWnFNk0Qmf2xdwtVzDnrbZSyeaaR5/5K7WB4Uy99sae6OifVtTVbQ7B/yhmAGVYqku15OOhZHpyv5t9JN7mdpdkfcNmsaelLF7IvPbLsm4mjFpRtl8Oea+hNs66rn1tXSE/9rvVdwQZEw0S7KPcqxB8vYNb8O07Kx0yaXt7hjpU608MItb/LaT0G2VZVhOlAPF9SJO5yn4izNkZj54nlHaXJf75uswacclhd0uedl0OKT1NvyvC4Ox6q5Mle8o6ijvLZgpoIJx6Ypd4TebxdwzpoeDr+1ikSej5CRxGfa3hjw/nQe5wdlcSgwgtzr4iVBlaQ1FWZVQMKDrxy7jC/M/zUAgzbsidd71OgCM+YRfpKYLPJpTOQaOlIl/O/Ieu8enJd3lAenBeGP2n7PK3s4Mp/rCiUr8469L+X6uXu9jMHPjqzi1Qu2AHDrwXVeD8jTIafT7VdKXQV8Denk832t9eceZ7sXAr8BVmutt/+9bTJy1il/iRHkAndO/YCt+crgpWweEIW/ouawl8dOJH04WnFfj8TJ1849wEN94vo9p/ooPjPb2SXXSNDg5nrHHZvVAeHFb0tUU2gkvU4+BxI1rHZZcHHHYmFuH9WuixvKPeopv89nM2rneviAZdgedXbzeDNfXvkrAI4kqjDqNK/aIo0+Lmg6RtRt0PGj/ev5xG1/4o7fLeIjtX/FwGGxe15vLnuAoLIJuE/XqOPzjpXEJOr4vXHeR5JVNPpEiQNGmp8cWQ3AiuoeaoNjnoIUm9OEXOg5z4zxhuL9Xo3DjkQdC/xyz++LNuFTtnzPDzkr0pT/LsIDL1rAgtw+/rf9Qt7WfD8gGMCWRGH2PruLQlILUHgwJX+/qH4nJaYLujl+Lgi1EjLk93nVwVeRqpdzvDh0hD1JnzeduMyMeANQHAxCRpLr86Xhx7eGL+T2NsFSLm5s4w9jAuS9sHk363Nbs7MG52t+eFjqG7688le8b/eLOC2iTx+Sf6pDO5RSecA7gC2nst9Zt/8Mleu+u4dHnjeX6drTV633dMif3raM531vDxfdduSZHTl7Jsrpc/u9oR1a6ySQGdrxWPkv4H+AUxpdfNZZ/k8NLefhIbHgK0u6PB45wL1983Fc8kZeTpyLqo95HWkDRpob6sUqrAkdI+X2wwuqFKv8Maa0S5hBUWzImvjc0CgOPmrdsHuhr5MJt3bg4WgdPpXmuEvQ6UqVeGnFDy66g5XBLnyuZb4+bx/FhrjNh6arPOt+Ue4RyqyI5xUciVZwNFpBeCzOyntP8OHfXs9f94r1un3tt9noFsasDp7gWLqYcZf5ti7Y6Q3qTOk0PxlZ75FmPlV1N0GX+LQqr4P7lXhCu3pr2G9VckWDZEAKQ1GCLqJYYU2wOd7ooeBRJ+BV3RnKYSIdotjl8zeuHIY/FvLy129n6EQOI+8K0xaXWoUaa4xKUxD+cSeHQrevwO8mz+XqvL0eKcqnbO6ckuv8Wccqfrjkh9w9LSnXby74mddTMa4tNkZbuDxXDJ6pHM8LmHb85KskbokGpb4pL8wDPLD3i8t/wwcOvpDr6oXb72jlKaCpHHzWaZzYc+pr4VMe2qGUOheo01rfrpR636kc9BlRfqXUO4A3ICTY72mtv/pkvn9BmbCKF4d6+PrxSzwU/DlVR7ijR37ka+sOkHJMj+b69uJdXh/9h+ImLW4eucz0Y2spBAIIa31Sv7wcFfCaaACElKwEF4Ra+ebgJeyISMjxlor7vfzzl45ezq+X/Z+HRN8XbeJGt7T16zUPk9DywEZ1mlZle0y9+zrmcWnjURbu6mN8VYjx/FzsEdnntnidR5XdEa/jvJwTfGtSFCaokmwISjluCs2Hyh/kwZi4/ffF6rggRxaXb7VdRMAnx35O3VHeUPIwO1xc4nCsmj/ozEw/m2PxcmoCgri3RctZHBY0vticosyKeHMDDeXw54p6rF/UsOg9fdz0hgcJ3GLhVJi0psJeY5S8GRWKV+ftJWSkCLhx91W5WSW9cokUGmXCkVyVXdwfjDbjUzZ/jgg6f1n4AJtjbigXOoKNYp5POAYX5h7mXi335+dHV/LF5W7p774buKF5D5flyXHGnRDGfPmdRtJhLqs/Qnae8FOTJxHzP6WhHUopA/gyp9Cxd6b8y91+pdQSRPHXAMuA5yql5v7jbz37RJ9lAVk6bPLTL63jyPmVlF07jG/HP9Pfe1YeR55oaEcesAR4QCnVAawD/qiU+ocLyjNh+RcCW7TWUQCl1IPADZzChBGQ6Tq7omJtD0RrsB2DhNt6+YGBFoJWdkDFRXmHuW9aPIF9yQDnBUWjLg5q5H6JxEiQo9w5dypbM5CRCW/sVva93fF6tg3Wc+uSHwIwaofYMy2/zy1Lf8hXBi/loxX3AbA80EWfLedVYfo9z6LICOJTaQ652YsLG47hUw7jNSHC3XEuKzrApq5GADZNzmVNnng8fmWzLV5Lwh0EEjRS7HTd8rjjY3Ww30Oz1wYGKTLEGv7ngj9y36Q08/iKO5G3qU9YfH82Ut5QkM1Tc5mX00+DT5D6Dl+pZ+mjTgAbg2KfAJ2PTs3jCpcEVVM4hu99aXYsq2PZa7s5/6MGj1xfCAiX3od4ASlMQqQ8i+9Tmj+5bv+P2tfy66W3eKPJJrXfc+03hNpIadPzgFLa5KYC0YHWlICFffa0+wvlehOMbmzZ5RHD5pz7PX4+voZpt5+DgcOqXDeboE2W53Zy2uT0QSD/cGiH1noC6SYPgFLqAeC9ZyLavx/4jFKqBIgB1wB/c5KPN6tvbzTr/t7RvZBcf5Lr6+Uhuqt/IeeXSYprSU4XPmXz5kJ5MA0U8PfBsxwV8BTecP8DWQRmLgSOzhaEXB7q5Dnn/IBjKSlcKTajvLnsAQB2xus9ohBAgZGm1pL4fNiOEnJj8Cmd5NKcAe53qbi5RoJrCvdQmpoiXKHZOd3o7eNDFfd7FYt5ymJnMsQlBa7yYBN1J/EUmlE2x6u9IpqdyWKWu30MgyrAW/5fe28eJ0V95/8/P1Vd3T09PSeHIsgxwwAKAgooeIu38YoxG3O7HsR45Nrsbr6b3c3mt9nNZrMxh8ZETZQc5lCTmJho8L7jCcgNw8CIgMg5zNHT3XV8fn98qj5d3XM1MDAz0C8ePB7T3dVVn6qud73v13v4CwD809sf5n9nPETZKHXjv7L0Ghb5DU3fnP4IT7VMZTHqIXtS8h3eble/wcU1b9PmlulxYCeXN+lI+nyfaLPi/E6W1B3LxBt3cPqyNM7Xh/G6Z+qI/jMdkzklsQECk156zClTv9v8aWtIS0PPITzekrydVYJabWSYGIFf+/38c8s26NHnaWmSMGwe9qf9pmWE32xQZd//O/V33O6PLNvrJKiKpHTm4ctrruaP0xcCkJVST0w6YPRjtL/IoR37jEMu/FLK1UKIbwFPAB3AUqBLlKWnWX3JSJppcVXWmhiX4Yltx/HU++qH/Z/63zPZ92nfyCSZGY3T6o/M+uneKZpV5vT4TmqMRN7xjG48IEPPyfNrAkyPtB8Y3OpaNNkjqPdz4yZSp9tOLWvmrLKNpP1VVxgGmx1/aIdZhumXsu50UyzO1nJpzVJ9zHPLsogdaZzRJk+/O4kP1K/01wJJoeISNh5nxyWvZlSloy0jeP4YHVuaRIWr+wU6vBgv+yQmUeFyl8+B/5f1UzkhMZfRPlHGd2euhZlqDSc95hAxPOYfo2oOXm+tozyirJ8Wt5ylHWM5u3K13v95VWqNyzrHcl5yJU+1T4WjwXtkJVO/uA3j797jpHuH83ZlTK+3zYvxVEpZIZ+oWkLMH06y1S3jtdREzZK8ImtopuUOaXF/60RdudchLZqdHNvxH9tmcElyuf/a46wTVDDzibYTdDzm8qrFvJaayCv+uPNvTHmERlv1Z2zyW74hR/B6QOjPBsE+hnYUvH92MfscEM9SSvlTKeUsKeWZwB7USOESfIjNNt7oIZeI6QK30qTpp8NpPzlG2cXbKF+e6ftLhwkEufr+vv4PFAYq2j9SSrldCDEW5e/PLfa7Gc/iOxsVoUbasbhszHI96HKqlaDT18zKRzUo87Xl52ua9T7eykaY7Hd1JY2+8+iu9tHL9PDNo00HS7zP0X4v+FbHwPILU2oNAw+pO/5mRzvp6GZYuykE58Q7eCGd48zPSJvYliyxMyvI2pHc5N1sLaf603yTIootHebGIv75ZDnZ8qPvCF7NOLhGYA5bVBsp/XfQ9Xb2SWt4ua2B0VU5drYvLlXTiBdf8pu8dZ7wp6/xgfEr9evx8Z280KasLROPuf704HOSq0hLS2vtuOHwVPs0uAkm1r3PRZ9awQtfaeCkv2vGRWjTPqBaA1UpOb98NeP8O9PG027SWtvDliZJU/12n191DTfUvazP7cLkCha1K0rxiyuW85KfLvxo1Ru0+OnVcZEMps9pCMqVqPJV4BOt0zitoh/10CAvexgo9fI73+e3gVuklC3FftGVBqahBKnMyvKF2uVArv49CNyd5t9Pl6+7HIDHJz+mU3bTLYOlPlfbnFjfx6wyAhZeD8s3lmxcRhgeO9zciO5X/fz2hYndpKXL7Ginv63HCFP5rR4Sx19HUkR5orOKOj+wFsVjlR1lyiaX8tERPCmY5QejXGnwYlo1tFxQ1o4lIjzdqc77lJjHXi9wd4azJDVedzPOTa5nll+x+nKGHB++H8CbP36tPs8bh72Yd96zHv+q/1eEo/xOx/ftKprTw5hRrtLOIyKtOi33UsdkbqpeyfPpagBeSU3UZjhXwYapwzn7xnW0rYuz46NJ2odHcapNqo0M1X6p8jY/iGn4sZVGO8aJUfXZq53jOb98FU/6DMQ31L2sy47PL1+Ni+CKClXL0SqjzAsJeRCreTtbTYWR5qk29ZC4tHIpHb7TeXnVEh0IPGAMga6+gTL7z5BSHi+lnCGlfHog1jBYIdIeiVVZmFbEU2mIoXNylFV/Ohpri0v9tTs48ezNjHyw7fCtDPSK/D9AGHKO5Yvb63Vd/uWjVF33mxklKHNjjk6jZaSDgeDxybkYSaBNLBFhZrTv1k0PLy/6b4jcs9JAkMGl1tdYjXaCM8qCHvWIthAAEsLSWYN2mdXryEibuMhyrCkw1tokftuJud6B88t5NhZhxqitvNquAlP/OOIVKn2r5vY9U5hfvpoz4+ocltkGO1wVrBodaaEyuUYHtOLC5rm0slyyMqKps572C4Rm/uXfAPj+1N9y2/LrAbhq7xX8bsNM/t/xTwHwwt5J/GKjYg72pODkozZpzr0WN8Hy1LH+9ZEsycY1NfnFlct0dd4zHZO5MLkGauGdu4dhCElsrc3Ym3azZWc1w76gUq/DDFhme3h+DHhWFNY5ykpZUPUuS7ImC/yswoPt4/hZk/IYrXqX88vXkvIbtpTVobIhW52kri40DYklXC71XcU2L67PZZrlsNbpv7jEYNf8Q074Pzh6KX/eptI5C6qa8EDP41tjG5wQVf5zTFh5lXkZaWOJoC/fwRLdn3r4s8IMgEr85X7RZseizq8rODbSgeVfzjbPptFOcFIsd/yI75osz8Y5zX/fwuH8MoeMjBD9yg6M4+N48+LIT1VhIlmzcyQ3jHreX4vQ6zqprBlDSNbY6thPtM3QVYInVS2l0fN0tP9vHQ2aTefl9kl6PZ8b9govp0dx2nHqs6fapvJfUx8B4PGW6TiuwTdXXaSuiWMy71jlflRG0hhCstKfC2Di6dTrrPKNGHiclVRR9oaIy6/a1DENIZkQURmWldkMJhJncoTNP6ml7lO7WFdnsPuick6MSo63JIZ/LU1hkPbTliuzGWZFc/GR6yrfJ1uvfP64sBljxljmm/Dzy9fohqy4sJliKffgjpYG5pevpkOPaE/rB+WJ0Y1MHpjy3gHBkBP+wxGiMYvRZCMfHIMMrP2iWjOGPrL1EewvVHHUA23snReHEUOstLEnHC7svYMJv9tyIo8fr1piYyKGLR0UobDSLrZfN98pbSqNnJawhIkrcw7WHk9FwAvz/T1ZBKAsgZ2esjJGGmVMjjjEhB8gMrIs9ycJNVgpTohmSPnHa3YspinFw7xYFsvPQFiYuE+2EvuP3XhfqEHEcrbGAzvnceWEZbr1dEU2oYN0tWaWaZZgha2siVtq3ua1jDKb79g1l4SZ1UE4Vxq6iem05Dq9jx/tPoV5yUZO8guAXCmYG1d98v/x/jiuqn+b6QkV1PvWugtZs0cFM6UUnD2qMa/KLthuReexTI6/x8UJ1Wdwz97j9fFOSWygyW/htYRgilXO0qx6wskzE1T9uoOTT3uXzMQIrd+ppLVBXdcsBrOiCf9YjnbFgtdzy1TV4+L0ODa7GSqMXNHPnJi6zm9ls7zuj+s6NdHIi6lJ3FLdDMCyLBzvsxQvyQqeaptJfg/N/qNk9vczFh3/MDGRHwxL+zf6VCtCk++z1UdyVXugIvVBQ01MREj4Atgbghttm6tKQ482k4w2K/K2CUrYx0c8pvjR/UY7zolRSdrLgJRMeqqV1kkRyh5L4z7tEDurTAX0fribSIvE+2ot8uJyBGhXZcmO0Vx27B7toyeMrC6/tYTnc9IpIXjHQfu0V1YvJorLY+3KNXr8vakkfE69S5LLafVTXudVrGRGtFNfy8vL2zBQVYh/nbGQ/95+hp6GW2bZLBivMgGrO4/JO/9/G/EGr2VUTOGS2q24SFbbQQR+FS93KpP6+Y7JuhsvMMGnR5WAu6M91vx+GLiSEQ91MPwTezjq2fFQpY6/0lYP6qlW7iEAyiUIHnJZGeHJjslc5rscaTeXAbKlQbWfHkx5Fqcm1pORAYW3wbNtx/vX1eWp9ycDj9IvKAl//yIWElpbOjQ5GaZa6gY2haG7ukBp6uBGsUREV4ONiQjtg3eHoCowsByONpM9bjvNryjc7UmG+SnBGVEXD6gwLHAl5ddvowqwLynD/FwN3l9bES904H2sAvPqat50HMh6TI96fGWbCmBFfd8ziA8szQqiviqZaiVodtoAdd4nRMu4fY8qeb0wuRJPCl1teOmoFTrNdUK0TD8Qv7VrEgZrNAGpi+CUmLo+y7NJLqpapnP5F45azcrUaP86upxbmcv5r7Ul82LqCbgkq0hFAp7AtIwwK94MqHkFWf+am8JgaTatg4EvphpUjb4FzR+VJJY7JL61C/nfI/X5BtjutjPcVK83OinmxNRv02SnuCa5h4WtqstvZnyT/u3Lhc1r/izD8xLr2eqWsSIr/WNP0uw9w2O7+E7DQ5zc46+9bxhIWu5iMOSEf8jBFGy4bRhj2jKk/6uGpBHHnh80lQhMIQKvpQQfrf9UQWL+TphfDueVD/Ry9g8ln//g4t694zmprFn76WvsDk2gMcaMsd5Ja63h4dFg5TR4oN0DhH39cKygEGFXwhIRdnlKW1Ybkdw+pIo5BHTUwz8Ywbq+FcOI0u6lddYhIx3aZVZTiH1712wu9BuRLqxezusd9fzfbmWSfrByCVMsJQi2dBgfqWB8aF1fqtno/6XO94TaJn1NAmuoU9r8snW8v3aXk2I2q2xlFaS8KP+5Y47+7JyKVZrJ1pYmw/0uvhPLmnm27Xi+MnwxADERZaOjzHKTGJZwdSR9XhxW2+r6nJPM9eyvttOYCCZF1HZTq7bQ5Kj9p6XJ+OEJ5P0W4tPvIb87Es7P/W4jzaTW6PWRpG8BwTVJaHbasKXqY4gLl5V+sqVcuFxbqer1V2YjzI1FeDWj9rHXSfCRmtf87zhsc/Lduv2FIG9i26DEkBP+cCrupupNrLMz2nSdZJXpYNBb2awOFIHy+W0/d2wgtID3lvbrDQYGHh4tnvqJqyIGb2WV+TvNp9UpEzHIeIh7W2CEEvi1jqEpt99M1TEv0ajHZJ1TsYoO3yevNNJYIaIPE8km/0YfG8m/QcMPlJiw2OS08UpadeHNirVr4fQkXFupgll3tDSwImtoE/359ilc7PPhTYumWJyp4MIK9SCKC0fHEObE2qk0lvK93f6ak6uYGwsGl6RxMXT33mpbEPUfluXC1u4HqLjFwlZVH3BjVa6RJopHs9NGx3STsvtrqb92O/KPUZgYDX0393uN96/FFrcNS6BjJM+lJnFuQlUvtsqofghNjcZ5I2PzpTWqlPm/J/+eqH9f1EVMtjr9KLKDXPMfJnmVwQdjvQ1bbcQ3d8FWB/cXR/f9pRLy0DkziryxGnHH7oFeyn6h1NjTz7BERJt965wsx1llOoXn4LLeVn+Hi0EKvxfWHKboWsjTXXsvKCsh2H6T04Yp0LXlaelqS0P8107iD7WCBDk6wsq7h7HInQR71NTcQLt/quptfrxnDvOSuRr0oDrOQ2AJVze/jIlY3NOiGlWuqFiuNR50bU4aG6lgRLkakLHXyw9YBtbJ/PLVHGeZLMmq8zknuUqTnbyaiRIXNot8i+SDVYv5Uo0/7UiU4eJwXlIF/aaHSuFnRuP+2nNFUsE1V4HZ/N9kiq/xm502nvcLbc4oa2J8pEJbOZs/YXLsGR2w2YYx+RmaLW4bbf5E5WpDkJWS8xLr/TXALi8o8skFVVbbaVZmxvOz4xUJS1qaTLTUPlbZQk9T6hcMcs0/5IQ/I23WO3bee4EwN9tpToj2HJkPtlP5YvXLxPzSW13CGxL8wgdBRjr6B601LBJGlNGmodcFwDYHfrkX+dJ47Fq18STAtpUQt3lx5sRUI88bmeHMK29kRrQFgOXZKk7xufITIsvfUg3aLL9/bz3n+X7z+AKzv7sHVtDgVGbm0qK2dLRLstqGdbbDidGIf21y340LB8vwdAnspEiOfej/dtdzYXIFLZ4S5Dv21HOiT2d+ajzFBsfVo7Hiwg1NxTVosnOC5SKoj6i1jTbLuK5S1QY0+XJq+y5CdW0ErqlE3NOC/P9y8w7V9yp0T9d2t52xkQodA2jzIlSKoK5AMtYnU5n91kf57fSf6thQhxRscIKahahe7wGjH8k8oG/efiHETcAtKG6MdmBBIbV3IYac8G9yMgTKpt7KL9ApfF2I7jQ/dE/kEX5/i6tuqOFGXPvWgVYL4ggxYbE820nF8jTjplmsrUyzyJ/Bd1b5Go71U3dvZKK84Y++KjcynBl3+Z4/LHNO2UbtF7/QMQVLuDzvt6XOL1+tYwUr7VRe+qun9RfCFAYrs4FAeIwzDd1nsDKbq2mfGS3j1YyjBcHB5R1HXbtzkv7gEJ9515WGZkwOLJOgHDcuHP3AsqVB2r/dvtJ0Fd+b+CC/aFPpw2sr39OB1KAEuNx/GA0zypELYoj578AXaqG2+xTtSN+6SfsPnoTh8rkNHwbgAyOX8/AWxTZ01bi3abCS2gIKHhCgUrT3760Hmvu+mMWgn54jRfL2/0pK+WN/+8tRhJ4X9bbfks/fzxhqxJtDAqMicHESFrYM9Er2Cf3o8/fJ2y+lbA29LKeIR8+Q0/xpafKv71wJwH+P/wPlwmW0qUzQZietzbnRZhmWiGiN4kpP++tvZbPa3O1La9rSYbjvU8dC3XmgLIg1tir3nWJZTLEsxFiJsamFKVY5D/u895MtgetXop0bT/FqRh37xGia1bbHWeUqKj3NEizxeQYurljGn1tn8s/DFJH0wtYJ7PZ5+q/2zfHtfuWhjexSedgd1tmdvJIKLIm1rLZNZvpm1BTL0tWRy7OdPNF2EpdXLgGgTMSZEDH8fTjEhcvJ5U3+dTV0CfKMsnfyKLo9KRjnu0X37D1On+djUx7Bw2JSxRb/Gktsfx7CO66XZ9UEkJ+tQXxwM/KmGkh0/c02OW1kpNClW9ev/Tj3TnoAgOdSDTzlNy2dt/JKPlL1Jm90qutg4jHX5w+MYDK/fG3hrvcfh5C3H0AIcQvwJSAKzO/roENO+P990xX89/g/AHS5SeqtRBfyzXA7bmD2z4oWT9hgCkOTb2Skrc3koL03yL17eEp4xkom73bZsKOVS6uWAuBKVVIMsMa29Zo2OhIXQ6eaNrsuM6IqqLU4EyVu2Px4b51aBx5VfgrtjfSxvCJNTvUZafsa5RmUJ0+xkkyp3uyfS5TVtosX+nbgg1siQkfFcm2+P5cWnB0PApswISIYE1Gu0AbHZWLE75jbM4WEkdF1/zdWvUerTzJyWXK5LsN+z810SVcG7lS1VA/TLlWVDVE4OQ6/boXrq/1r2RHawNDjxgC+0/AQHf76z0isZ7Vfz1BuKTM/YAc2kboE+YToFl7pHA1s7e1yFo1DxdsfQEr5Q+CHQoiPAf8KfLq37UtGan/DEDijTKwt/dgaWgIA8tZaxI/2gD3Iw+igtH7/kXn0xdtfiN8AV/a10yGn+S8ZsVwXjoTptgsRvBdEf8dHKvKi/eGg3xa3rUez2cDIcfoXYJPTpjWYgaGsgCVp3D0enfUWU62ctn+yQ43Jml++WheiBJoVkXtQrPVv7GozzXnJlbrX/PzyNbzoT6eZG9+EQa7YZ5PTxi6/29CWsovW7K43wUDgYnTplQAUB6A0NB/B4oxBuxcw6JaRNKTObkyKmKyx1d+31KwigtlttWRlH2om+L16dV9OiiPHR5B/bEVeXcEkq4xNPiuyiyAlDe32eVJwYiwoozZ06jDtRng6NZkr/AKm3W5MpwIbbZezEu29L7RIBASe/YReefsBhBANUsogZ/wBoJE+MOSE//qqLRiom7nZaWN8pCKvy6vwgVCYFoOu0f5i/GWATpnJexAUPrS3trdy1C07Mb85kliZ1DGGhOHqm21CJKGrzeoiJr9sHa+r7jxM1vtC9WKqgTMSjVziR9cBzkooP/u5VD3zE026JNaWBs93KI79a5LbumQDuntIWiLCNMvWQmwgdIdiXDgcFzVZ4ZvKs2Mu6/yHkhp4kjPT19mdTI3mN1OFj1tsJqIQ4U7K4Dz/2HYCX7q5A+Nbu5BXVwHoFN6ybFbXGQC0eFmdwagycnn+Xalyzk6so83nOKwwsnmuW1AN2S/or6xhcbz9twohzkPxYu6hD5MfBo6994vADajLsxz4eynlkKeviL2SwR1pYF5aAb6mKaGfcWYCbt4G7ztw1ODWXaIfuQn74u2XUn5+X/d5yK+eEGI08DngeCllpxDiQZQZs7CY739vTz2XJFUEfIqlNHZvlFzvuSpIVhhg2h8Umv8VRoFWa5W4I02anTbGRspZZ3f668vlrwGOs3JswNdXbSEIvfgkY4AaPPlcqoH5PgVXWhpU+O7B/ISiL6uPJPV5TqpQ/IEbnTRTrXwzP1yvEFg5yvXJDxXOjQUkGep1QEASExYnRLvnP6iPxFjm58xnRuM9FkztK2KhystgYu9t1Y0gInBGAp5LwUcq9TZhrQ8qqBtYPBsdV0/2+f2Mn/Bo+1RNMnJ9Vc513uiktEVwwCh19fV63DIhhI1qQys6vPqlmo00O8VFSSwRKUroA/dhXzHMKM9rtqkdmcDYqUzNTU6Hfjg1h6yAJjuluwsNYbCwdSTXVm7XnwfmerPTxvnl60j446NsKfXIr3V2Jwnh6WNDzgWp7+U80jLcWBPJE1QPr8fGoULzPS/WIQxm+mnTwu321+zf5rbnxSnO8Cm4LZFQLs38BOLZDtyPJHVpd5B9Cbs4S7JBP39ueu8mp4PbqsPz+HLrC3cJ9gcGO5PPIY/2Sym3AP8HbELNRdorpXyicDshxAIhxJtCiDd37Nih31e8rgIXwUc2nMsH11/Q7XGCG7nRbqfRbtdVet3B3c/mywfaahkbqdCCIKfFYHkG11Gxhly6MTcDMNxW3Oy0cVrZBpqdti433fhIBQYqh28jdRoOVHoq/Phb1DGJFzsn8GLnhLw6hEIElgLAj/eOzvvMwMg7l8LPwujpgVq4XU+C39saoWuAcpjhMczIBUnts2LwQgrX7ppRcaWnHwjTLYPplgoCBtc/LgRNTrv+H8Y2t514f83qQ5X3FvN/oDAQI7prUNVJE4BjgHIhxCcKt5NS3iOlnC2lnD1ixIjCjwclxIqMsvEHOYPLkMeoCHJUBLF0kI//kkX+HyAMhNl/HrBRSrkDQAjxe+BU4JfFfNnA0Brs8hFLODm+Cfzo/xq7g7j/KHURrLE7mGJ1TXMVIqwR9wUfrwi1mq7KIG9+n3fvqaE+kUv/Qc+aMuhe6+nzwvcD68AQgrGRcj38M9wP39fzPKgKPDuxjs2OR8Z3BRp6uU7tXppMiAvBRLDVVdf5GNPokRuhJ7O/N1egu+8EloAtHV2gJeaXYz2Zxp2Ti6XYPjkKwPtORkfxv9x8Fd8cpwrDpljJLm5FYBWONivyXKkDwhCY2DMQwr8JmCuESKBGdJ9LNyO6e8MDbWpAxWll7zA+UsF9rYpZ9rrK97UpFwh0OJUVzvMHuekTomX+QyLHkrPP5B6dHuKz2zD+fQRjTq+kyWkv6oGyy+ug1uibSBTUDRqOS3h4uvOt2WnTJc59rT1ogNnqqlLo3oQ+QCD4AHs9l21uGUf71YaLUsfw4eTevGOHG6h6q8UIiDnDXYObnAzjI7ngXf7DJCdN8uoKxEe2YPzjMN2SaAqDKqG+mxSeXsev6h9lq5v7rovMq/8I2oK30Kavab9gkAv/QPj8rwEPA4tRaT4DfxT3UIX4z50wNQof7h8KqBKKwOQY1Efhoda+tx0AlKb09gAp5deAr+3Pd5udNj7uy1ijX4QS9IJDrhUUlAYKV7AFJt2YSLme7AM56m9QmiawJK6tfK/vaPUT7fBUB/KpseAHiyZEEl20f1gDBmbmKLMcA6PHGQJhhAuRwlyF0H0hU08IzP6Z0aTmwQ/WFV5rystik5s7MMxv2GnxLJqyIzm5QnESjPe1fhiObylYRPL2G2hiUNf5mQ7FDjypaoNOO9ZbCVzp6X0gc9o/VkC3Lv9tOOK69+CtNHJWHGNeGfZ4Q+//rpYx/nEjXFqxQn+vsKgrsPoa7faiLKFiIbzBrfoHd5VENwjf6A1WMu8HW5pNc5yVi4oXmsDd+dYeXpcc8al+l1eT3YdZ3Ooi/nE78t5RUJl7gITjEuH3AhTefIHQh33WpIj2asLvb5xiZMjX7Wn/BgZrHYPxPgfBMCPDkx1q7JYpPBqi7+vzCbtJe7wUNUYCNyhuESpeAJAwcqZ9TFjY0mF+uWIHunfvJJ3Oe7Wzjsd2nMCD9aqeZYvbqX/zNzI206Nq0AbAnJlx3CdGI37TRvsTrVR8ZTtNTWquQFx0qtmAqOyILfs25xusfkz1lfL8hzfEHXsUtfTJPbP9lnCQMTyCvLWGd9+PMeWsbQO9mjyUePsPMhqsHJXz9Gh0n4tKNjsdefRP4yMV2gyE3GAQIO992j34+V7kc+O67LPRbs9rL+4LAY14i+dg+gpqr9fZozmft44+4OHprMDYSAWdUp1LUK0YHLtMWJqG/GgzSUPEZXlWPdQarBRXVSh6MQOR556EORDjvuke5hQMtL26FrnAYUY61EXU9unEBiZE1IlPqtzEtZXvss5R6v2Zjql6JNf0qOopmBMLT0v2W6sjMTBy2j3MAxj+ffsqPAp6BfoFJc1/aNFbdLk7BFVzPQnawtZjOcMnhczDuiyMtxTLTMGxG6xkl+aanrA820mF5scXVPn3b5XRPz/NOruTCaHoeWGJcnhGQTj9tcER1FsqFhEXJq5/JydFPhdC+DoH+w4osmZFo3r/nTLDCp8sdE4s/wEx3XJwClyC4NpNrd4E9JwRCR787q4MZZWGfjAGJdagfpfw79vqdeaddzjVdyAlyYUopfoOAQKfs7BctZgfcp3d2asmPSOxvvvPaw3Y6YKUOtAXPt5UK5Hn7/a0lhOiZXq7FXaEWn+uXhBsO1CEKwNt6dDppz7bpIMrocJQ2rfNc/WDUK0/ook+AoEEaJdZakRErxlgSVYJ8uxYhlW2wPP96+AhAPBaqp6/r2rKW1uj7adlrYQebx4QpgQp2sIgXyGC3956y2XdtGE0+O/3FgQtHMpSbFfnPkGi7o1BjBKZx/5inAWOhM2lWVsDDikRC/fSeMHIgV5JHgZ7ee9hofkDhLVrX1o/8AGD5pue0KNV8HwKOiXEe44iB6atLR3deNIddnpKy31twincu+klADJSYJHuwslfLAIXJBOiKbfxsPzrUiUsUji0ecoPH2FGNY+eJUw2uWnN3jvaFDyXVus4vyzCLq+DYYa6Lu1emjP0EmOYpJkWDSyGqB7DfXP1ZoLBogG6y6T0pul7tOYeagNHctIHd+D5k4b703zfH/QzmcdBwZAU/n3167tDb2ZhYNK2S4eYMLD9RhEbySizHN61MW/ehvzZMTCi50sYrLMwpVZIIT7/j18G4MlN39FmeAVdh3EUi4y09bHDVXFp6ZH2399gV7DJrmVqLGiozDLCVP58ynPzOtzaZZZ5scDCiWvBp5s1zvTHYam/nbw0alDRN8409uncwi5AF9durY34+k7k70ZztJX/cAkTghxySFky+w87bHMwP/oe8gu1MK+U4htQ2BLxxfeR/1gLU7qnWhtI9GeFnxDiIiHEWiHEeiHEV7r5/EtCiFVCiGVCiKeFEF3TUAUYkpr/YMP0A3hHG0k2OW26/j65zYSrN+NeU4GxoIaMtLWp3J0m08MhrUSeti+0BFZfdScAK+wotX7k38IgI201JYi+JwfnU3SZpLxcI04QPDQRPNquQmIVZhov9J02aeK5KkA32izDw+NVf9jnNck9vV2uLpgVyw02CbA828kUK6qvQbifIpwZ6c60D7sCG52UdkcmfCtDqha2ftykvmANzU5b3hSiYrC/vA494tAO7VgCzJZSpoQQnwX+F/hIb/sdksK/L+b+/ph+aV+gXZmm2ojwjuthbXaY+NGdpD6ZIHVTHMtLERcmCUPd0Blps9dTkfo2CRaSiaEUW5APD99gwY2e8s3aasNjq2v463VJirjeZ0uo+y8jbSxhdnsdtrntJEVEP8AWpWoxffWSlSaXJNcBsNWJYwkXKxRxOso3+7d7nVQJiyv8eX8eFimfwDNpxLukygrR7q85JiJacN1QYxWoWEq4sSf4O3gIBK5X+KGakTaeBFOAudVF/HAPZcsmUO8TpYav7dhIedH3SXCP9Kvg068+vx7aASCECIZ2aOGXUj4b2v5VoEubfCGGpPAXorsbJUB3Qt9XGtD0O7syuKqoJWVz1Ed3kb0uye7rykBKEsIgLV19c1vCJOX7eCYQLSCFCAgmwjdYRtqUiZj2y2uNXHwhWF9QjhtOrRkIghHhhRhpJnJzA4F6aydxn/5rZfYodrhqvcdGMjQ7cY421X7fdWK4/kMvLgz2SpulacWjcFa8Je8YhYJfWDj04TFzAfjTlje1/z89auZZP7Z0KPfXZQojT/Pb0tUPrzBW2y7TowlWZjPUvOT38q/N6rhL+Nrui4I4KDEBiRrYUBz6ZWhHCNcDj/d10MNC+A82qr/RRmZuFOeGCvBKqb2BRvKlNMf85168u4+GUwdv3OVQD+0A8IlxZgNn9bXtYSH8xUSOw1qyL60QEFW0eDHGvbyXqmcybHtyOGVIznn+cwC8cPYPANjs00O7CCr88tIWL4qJxxb/yV8uOhjh9/0MExFtZmalZEzEYodf9VphuJpnb4Sv+f7aqUzxi0L3eGA+B9YEQNCG7kpl1QSxiHEReD6t8t9z4tto8dRCtrhRKoysvhLjIhky/k5cKbEQzIwp+rS9MmcN7XZUz3vcv7PbPEOfW5tnk5KS+95V6cp2abDJOVodO5ZrmAkshWCE9viCFO1GJ7/wKth+eqfJ7m+8T92fOlUz1en5FZS9EaP0hmDmQTiL0S/ov2h/UUM7fOrurwJnSSn7pDk6LIS/N3TH/95bR5xqeVU3+rEv7uXoL7TQ9sMaYtURZj11K/jCecYTX+TJ879Hh1RmdIWRpdlWXPKVRhqbiPanbZkTRg+PkWbQxefiSk+35y7PDuOCMmWGB4J9UVmuSq4QQdtrmYh1MamD2gEXwenxnf7xhDa1G7MjmBt/P8+8DkaRIWCrY3BMJODN82h24v517GSHG+cYn8wjITy2Ouo2qjWdvCBbm+dxeSIIFuZutQgmHpJZPTACF9ZWlIkYPNyK+PoORlyQRD4xFkZ2vXX3l6G534XexyEe2nEicDdwkZRye9dddMVhL/wHgpHfaMXc5eHW9TUNr4SDip+0IH7SQuaBo4hOH4Cc/f6gH1t6ixza8W0Un91DQj3QN0kpL+9tv4eF8AcBLg9PB52CoF44mFNMD/xIM0laKhN1++PD8O7IMvLWFjY/WAtS8Ny53wMgJQ1SnkmFkdPM1b429KSg2siww5+qW252YPka9vbdDdxSo4K0mx2bUWZEc/ofY7YRNLE4uLrePUBYuwfBwgCFFFpB5H6ra+uA4g7P4E+tMwE1BdgSgm1uQA1uaEslLS2ONbPaPUp5QqfX1LE8zXLbJmGEqayJNk+wMnsUcUP9HiPMdpZmlDV0ZXlH6PuqN6Cvun1/YXg/2MXmB4cxdkrvv18hBVtPVOSFOBhmvwBE8QG/PlHE0I7z9nWfh4Xwh8tS+6KFLmp/gX9rWlR/HjIvdWL+yKbhf99UDIQ+DCFJeeoGzobYgKrNNJ8fdyrr7jkZgNcu/i5p3/+7vno5hi/gY/zptu+56uYLN5iUiRgZaWsBWZ7t1OxD4fdB3bw1fgTeFAau9Ij4TTljTIOnOtV+58Z3cVPNUnWO0uOZ1GiOjynyz3edWk6NKx9/t5slISLs9R+q29wKEv5Dbocb5ygzTZBPqA4NLskiqLd2cvs2Rad++5hFTLNa/E/zBb3oCr9f7MWcFmfslOo+Ny2GvKU7HDyzv1ThN7RhCtbcfjSjF7Zwhtw80Ks54iBeTCGvqex7w8GGYmm7jzQOv/5GoKFSrkMsmNKKGqcVozuCia55/oBHz8LQI5viwmWXF2PshAytC2v4/MWL2ZGqQSYMLn7y8wgzV5/56Dl36lbWcuHy/XdeweRlACpCDL1Xjj6ZRVvfBpSZagqDVVmlecxoi3ZT/toZzYvwhzkHC83lsOYqLMDx8Lg4oc7NlTEdJHwzU8mFiW2a1fb0+E5M/5rUmkG2Q127YyNt+moFVN8B423CFNqtOMaEna7L7WMWAVC1n70JeeZ7tYndmsWRGWLC6veGne1uu66laPU6NW/BgWPw1/YPxKy+ycBvQ2/VAf8upfze/u4zSENVGZDyr7eLIBGqMAtjYeuoPNLP5dlOvjx+HgCPbHkdy4+I1xqS8tZOKr64l+QzGbxKgWMaYBgg4cXzvqePDbDDVcKyy4tRLmxNLJOSjn4IPb51CdtcJYzDjDgGBueXBbUDOZ+2uyh/MQ1NgeAHfqwrJcP97IKDq92BebF2POAonzrIRPCuGwixwBSCrY7SuHVWi85IVAgglNbMSE/P1TMRjDIjBew9fePRVILzylRWoEzEcoL/5zZ4pgPriqOwehiTfqAYaSY1m1FvVYv7g1JXXwGklGuBmaBrlrcAf+j1Szt3guNApPvlxvScNkmQ+U1JyVbXptqvlW/xpA5aXVLeTpMvb0cZEWpNhxvWNQOw28vqYFbLux4TbtxN58woG98YScSTROOA9Fh3yY/xiHPcn29W52VKll90p3/sLHFh6jLhQp+yt4qyMKtMIXoSpsLR4YXHDLMDBze6i6TGSOgHyk43RV0k96B0peTMuNo2I02dBgxSg1tdZW2NMWOaeVelLfvucgzOJSjpvSwBhe2+bLER/7Sd9H3DMU6JgXTISIe90ma4b1EYBSXDYYQ1eiG2uG3E/XtmmFHe70KvUdL8veJcoElK+U6vW+3aBdOnwz/8A5zlQfLghipEp6TytymSv+skfXKUHf9RCUJgDHZStsMJT3bA+eV4p8SHZmBK9m+0/2BgoK/rNcCvu/sgb1BnbS3cfjs8+ihi1kb41+147V3LbF2pBlh6QIc0MZF0eB4dnke5UJzz6r+qUIsLSUo6WAjOS7zHeYn3uPCZzzDq663U/DLFDyaexyfuuwBLqEads5/5AnFhEhcmD7aPxBImKy+9k5WX3qm1PkBCREgaMWqMODW+lgqGdtY9cV2vF2S0WZGn9W3paH79Vq9Ta25QGr87rV+IGiORp/WD9wLXAGC4qQhHA+vCFIKUtElJG0sYeEg8JLb0sKXHCMNkhGHqBiMDA1OofgPVjWh3ybwYoX+gmnjCNf3B9u1eGvlSB/ZpMSKYdEpb04/FhSqYsqWb4/bvBmGtHxR6QW5M+TCjvNsof2Al9QsGecBPyAEyTYQQUdRo7qlSyvd723b27NnyzTdV34O3vA7xbzvAEMi7VOlocBPbUpL1zyclDUyk9rttKajQk14Fln/Vo0Jowo7IWpuq6/ewaORU/uMTl/GHq35KhYho873KiGkzf8Nl95KRNjv9hhsTQTJkgsYKWne789frHr+BDRf/pNtztqWDg6u3z0iHpJET8kPBVBPkyUeZZXl1BA65hibDbz0G+GHLJG6rbtz3cWcUEJy0ujBnIy0vH0XZsHhoG/U7vO/3V6SlURRJahiFc/q6gzmq8a0DrbWvTI6Wc0+4qahtn3z13w/4ePuDgTT7LwYW9yX4XTAigvzWSMTsZkWf3U8ugPVWluob9tDy1QpurflY318o4eDhj+3Yp8eQtUO8srLk8/eIj9KDyd8XtiRTjJxoYr2dhtMSOhhVZeS0dAWQCjW+WEhsmfs7bJAaWxwqr9vDzturkOfGecxTTTsJn7LaCvHvbbjsXv23h0et388fwcwzQwu1X3eaWkrFcBtMng3DEhE8KTWZh4HQ9f59adbCsVgB6p68jg3n35e3XW/7CopkOmUGz7+RLWF2qTwMrIAbqlZhif0Lnul1eBJxfwvWV4frgGRw3h6SZzqHM79sp3/c4m/f3vo6ghFmI81knit0QJAM+lHtAyL8QohyFCvJZ/bn+6PNCrjcwfvZHi7+8Dz9/vpfnMTLZ98B4JvyuaBGRgoShu8SeAJXp+g8Io+m6Dg/Rsf8GIaU1BrBJ1ApYpqIw5YudY8sAGDZ5T9g+p8+p322tVfe1afvHWCNrW6wjZf8BOgq+AECMxdUnUJYqHtDWKDDAh4W/MLtekOx59VX1DwcAwhXKbrSY4/vPo18VkBEwPyE/izAK5kqLk609Jr26ykd2ltpd09ZgQOBQJYq/LqDlLJDSjlMStl1ymOx+EQlxhqbz8nFzJVbGSFT+21mpU+wSDybwdzWcwCphEMD8cu9yI9X6lkIQxqeV9z/AcJAp/r2HxUmPDyGS+/dw9F3djCRFt78/gaiJ0tkMseIE+TsPSTbXKUxhhkZYr7KzkhBem6czrlR4s9lcT+a0Lnsba7AMm2SvqaJCYu1V9wFgCmirL3iLm3qT/7zrdol6JQZpi66mQ0X/dQ/tkeTn9NusJJFj9uKiVzBjIqF7/vDrSftHmjI8LrCn/UUUNxf5uRC1t1wG7KHZOQSE/Ht3bDdwf5QQncCbPc6FWMycEFZmnbP0dRmFYbVxSo50ECo21/aumT29z/CZmzrcBvrXyq45vQFWI7Dd+98iKcnV/ITMZ13HpzOX+fehe0LzAWv3MKEa97W+3nnoekAjPvwMu7a9DLGbg+31iAtpS7xvPz5z7Hm3HvZE1SAhVyAoKAl8H9XXnon9U+p6K50DS34oG7I/Rn9XCi4sR64/wt990LhDYppjrPioeyBitC3SuV2vJXNEvUfZJOsSI/HCr4/8dlrAVh/zsK8v3tC4UyFcBGO/OEuxH2tyC/W4v1dkl1mJ4ZPJjrKLM/jQrB8+jR1PYroCtxH9KcLMNjN/iEn/OGbfN5rNzDmQyt4a/OPAbj6/av55br7+OqPPomXNfjM2NPZ8OuZevufvatq7T997Gk8PVdpcHsT/Muxs3ig6jG2zYsSFXDmc4qt52/n3EGnNHVprodk8iO+gFseTR+4h4anrweg6dz7aTrvfn87j0PpUXUXXAyE20DodJgtHZbZSqiCasdZ0a5+esPzn6bxrJ/1esywoBcKfU/WQbiMdqSZVNttdzDu2IP73Fg4OsJ7bgfDjXieYBt6fya7vLRO1fU1DGXAMciFfxBfuX3Httoqqtv2vUjjcppou6IMr+KwuhxDAsbPWslcVgZHDzk91AdkbnBHX/+LQBG8/WcKIRYLIRwhxNXF7HPIXfEpL30S6XeWSQnNv53BrBdOBCBhZ5C2ZMI1b9P0wIls+NWJOhpf97ElnP7ArQC88u6deAiM91y+ff85fJ1HyN5cSYWAU5+/TfPzWcL0/W6leWLCYsOVYVJVg6Zz7++yxu78zp44BMP89b1hweZTuWfMK91+du/eUdxYpfryl2bVmK2pUeULL8k63LntDABuPuoZTbMVdAl2p6X70vp9oSe/uzAbYKRB/LyV2O/G0O4FMwMq8PB0Vd7KbBWnx3NWTHjPvWUr+kpjFk5N6nfsG3tvryiSt38TcC3w5WL3O+SE/7l5P9L+qC09TCH42JhTAYhIj4gpabp/JtIV1H9qMet/fpL+bv3Hl6jvvSup+Y82Eg+l+Nio1+GRJJkxJiB5/qw7qPBviLR0scMlpKEA9IS/3MDGD3RfndcXApPcEiaTrHyBCBp72jxVofhyZx1At4J/R4saqnFLdTOBERcejwVqTPb9Y18EoMnJMNbMlRuHS20B6hYpF0aYnnZh+kLdE9ez4YKfdvm7KPyhDU6IwaQoYU97u5vSpn3WasH2eRITRpS4yC/86cnF6EuoD5rQh9CPPn8xvP3N/mdFhxkPKzvXEQbv11QyYduuXrezltvEH+vk/b+N5Jp/WYAzZ/CNejrsISXi3hbkguqBXsnBQ/Fm//Cgj8X/v6BgT93x9o8+0OUNOc1/9quf1X+7joH0BJEHlXZ2siZL7ljLzKZ3Mf75Xdb//CQmfmoxoAqAAhfg3p938uULnyNaFQFXMOep22i49i0AHtr8qq4YjAuTEx6/lVWX/FAfc8JfbgDYZ60f1kw9RdIBXTE42lQPpAarKxHrzVtO4a7Rr3FbteIUK3zUF9J8BSgsdCncbsOFgQbvvfkojLCm703rd3F7XuoEFzgr0cVED9feF1JxdXEdQunDgZ7MmwcJeEVr/n7j7d8XDDnhH/fhZXmv33lwOq4/4goBf5tWzwWLV/G7hZ8CF37hR/jnPj2LhmvfwpAeXznrKe54fhqPL5wA98Pq8+8mtdmfLPvUrUhb7U8YsOqSH+bPiutB6LvzMYvNiX/xvVkArJqVq+D71eZX8nLOI0PU43eNfi3v+73NtusN4e3qn/57/XDccMF9PXxDoW7R9ay94G5g38znvHXeuwd5YzUIgYnR5VqFX/d2HftjYvPBQb8y+RTF27+vGHLCv/l30xjzoRX69bi/y38YrJCSf6SJf37wcYQnefXukViOy+93/4i2aTHq39vB83sn8IWmFr6QeJtftG0hJiyOe9KvNJYCYakfbfX5P+Y9N8v4SFe3oFBrdicExd6Q3x2lrA62gnG0mqX32MZpTLF2kfALjjY5bdQXaMHCMVnFoO5JpdULS327C1w2PHctAK5t5G2vLIR9u3XyrkVTFrE4g7x7lNp/NyQgts7l58clCluYB5/Qh9B/wt8nb//+YMgJf1/oFBb/JM9kmuWSjkRZO/YoyjsztMfLaE9E2TK8htVjR7Eh0bt2K+EgwZOIL29H3lwDZYNYcA8UEnD7p8SvGN5+IcQcFCNWDXCZEOLrUsqpve13yAl/WOsHaFyozGYENHz6LZpFFU9eMZsNF/1UR7DxQqH6UArma69ezifPv4/1FyhzfuJfb9TbGgjGRvLTcIGZGVBX9WZ21v1VHfuV879f9DDIm976JAA/nrWCh5pm8aHyth633ReNH6BQ43eHwu6/vr5T97iKg/TETZCHXS6syOA9PEpfsa5a39Fxl0JfXg02HQpugATZP8IPRfH2v4FyB4rGkBP+MBoXztLjswAaPv2mZsa98Bio+/GNNNz0em77uxWPvhRC+bioG7vuiev1NuGyXIhw4TEz9D67Cyr1dpPl9lV8yWjgz9/01ie5a3Qbt25Va77zmNd7+1q/IhD2xrMXFrd9MUIfhiMxzJ579fvKz5ui+yDfSju1z+QeBxWDvMJvSAt/CUMMgcn/90OQh39fsW/R/gHBkBb+hmvfovG+2To633j3yUz4s9KU3CsRWaG19oS/3IDPyM3GECFHgPUXBO/la/Lg++qT/Tclw4QR4fd6aiQJLICDrfH3N3W5z9juIP5nF+x24d5R+70bK1RxWfh7DCqtDyXNfzDReP9spCs0P3rDZ17XI7IePO9HXPPordT9TkXxN37obtp9wohHOoZRbqhI+exYK9IWTHzC91v7SHPtCwIOvKgQ3fr8+9tBNuGxG3wikAPHQRf6zTbirj3whzbcq5K4vzwKK7p/vfrdVSXuy+j1YtC/BJ4l4S/hSEPaQ3xjF2y14dVO+HgV7gvH4g4f6CDcIYSU4A5ucpghJ/x3b3pJP99vVKXt2jSvsxeAX9r8kb/cAoak4VZlPl94Wy5w9+ze47mgejkAKeky6cY3aLyv+wKrnqrlisEYP1PQk0bqzezvDf2l9cM4kF6FPEiJ+PcdsC6L/EQVfOcoqFGDwA5U9MMFP9B9fcCBRvtrjH50HUqav3/xmbGnd3kvSKltuOoe6h69Ub8vXMGCxg0AVBqdTPiz+mzSgte5YL3aJi4MFm19OxcrKMD+CP52t520lH1OiQ0EPzxR50Cxvy5Bvwj+bhdxyzbY6yJ/Mxoqe47o99V11xPCQu12Q5UzqMp9S8LfFUKIauAnwDRUXPQ6KeXfivlu412n0HCz0uaNd55Cw62vIZ3cj9zwGRUgW7T1beof+ozOk194zAx+0qT8+fR6i1kxxQA7zEhS98gCNua16uZjX7VJm6RLNV5vCAt9+Fh7vJQedlnssYXR8w13ILGCYq6BuGYLnFyG/OqwPgt4+qOrrrd9DLjgI0vR/h7wfeCvUsqr/eEdgyxMW8I+odNDfHYbNGaRfxxzeFfuFQsJsh+LfA4GBmJKbxVwJop4ACllFug6krYHNNz8Go13zPVfSRrvmMvGS1WTyYXHzNDb1T/8GZo+fHfeezf61X4NN79G412fAmDDlfcUEHR0RbFaJOjFnxApjqCzt2PV/fV6Xj3/+/v8fel1jaTX/VF1iG68ovfzLGZd3WKvh1jUgfftkUUL/qAwyw82+qm892DhkI/rEkLMBO5BERHMAN4CPi+l7CjYbgGwAGDs2LGz3nlHzfIcf9f/8eTltwNwjGkx9fefy81CNtCEGw2ffY1FW9/WPPsI2ODf/O1emuR+zo4PIyNtzSQbDtz1x429x0uRFFFdzdbX/g46M01f+G0r4n92Ih8cAw09zyIYCuiPcV1V5nA5L3l5Udsuar1/QMZ1DcSjNwKcBPxISnki0AF04SSTUt4jpZwtpZw9YsSIQ73GEvYVH6lE3liD+E6ISKVzcGu+g45+5PA7GBgI4d8MbJZSBk3pD6MeBsXBklQbgmpDMPX3n2PZB3Om8YYr70GaEmlKGu86hbo/LMiZ9YbUk2ALtX7dn24sPEpR6CkT0J2WDk/bDRAUHYXRaLfTaLeTFFHWOTlvyAv96w5WwWDQ8PcOGf6uAl5IIW56D3HrNoy6Jvj+7kN3/EEG6XlF/R8oHHIbUUq5TQjxrhBispRyLXAuIS6yPhH1mPOkotaWcZcPjTkFea+6gHW/X8DGq5RpH6T8gvJVTEn9Y8oFWHPxj0j5PHo1RkI1//RgofWW59/ldfSap+9pZl6A7lyPML//xEj3WiEQ6ImPq/MJN9ZsctryUoyH1K8eHkH+5Vh4Mw3tHvJjlYjPbEN+ugqqh/jQzX3GwGr1YjBQ0f7bgAf8SP8G4O8HaB0l9DcmRNX/AMfH4G+dcHH/z8Mb1Cg19nQPKeVSYL8CHNIVOpctLKlq+YOAX7i99zOv03j3yXnFK2HW3JqQNg837zTa7Xnat7cin3QfqZx9Db51yow+XsrL5lkG3dWwBxo/HGDsq7DokOMoE9qOPN9fAnKQl/cOuVzL4ot+gHQMpGOw7LwfIjwQGQORMcCQXHjMDC48ZgaNd52SR+Ax4c83cvno2Vw+Wj1zAv85oMIKUF/QGdabzzzazAla4NMXO0m3r/17qBhFs9NGs5NP6JGR9j758r3FCg46Kk3Y6w7c8QcK0ifzKOZ/EShiaEdMCPFb//PXhBDj+9rnkCvv9ZC8dvF3AbBEjNWX3cWUxxSjr3Bzwi4jMu/1xkvvpfEd1VZry5hm4ulu0GNwo3ZXO94TzAKuuWJRyFITWCcxESEjbUaZuQq/3GBLj5Tn6oGiYXabwn1293p/sL8183KEiWiyD/+cfjeQ/WT2Fzm043pgj5RyohDiGuBbwEd62++R94uUcEghmrLIyUM777/f6D/Nr4d2+EVxwdCOMK4AglFLDwPnCtH7nPNDXuSzPxBC7ADeGeh1dIPhwM6BXsRBxOF+ftD9OY6TUh5QcYkQ4q/+votBHAjnfe+RUupyTH/23kVSyhv8158ETpFS3hraZoW/zWb/dZO/TY+/35Aw+w/0hzhYEEK8ORCVWYcKh/v5wcE7RynlRf29z/5GyewvoYTBj2KGduhthBARoArodW5dSfhLKGHwQw/t8GtjrgH+VLDNn4BP+39fDTwj+/Dph4TZP4ix/21yQwOH+/nBEDjHYoZ2AD8FfiGEWA/sRj0gesWQCPiVUEIJ/Y+S2V9CCUcoSsJfQglHKErCXySEEPcJIbb7+dTgvW8LIdYIIZYJIf7gcxMOSXR3fqHP/kEIIYUQxeatByV6OkchxG3+77hSCPG/A7W+Q42S8BePhUBh7vZJYJqUcjqwDvh/h3pR/YiFdD0/hBDHAhcAmw71gg4CFlJwjkKIc1DVcTP8qbb/NwDrGhCUhL9ISClfQEVRw+89IaXu5HmVfZySOpjQ3fn5+C7wT6hGtSGNHs7xs8D/SKk6vKSU2w/5wgYIJeHvP1wHPD7Qi+hPCCGuALZIKd/uc+Ohi0nAGX4n3PP+nPsjAqU8fz9ACPFVwAEeGOi19BeEEAngX1Am/+GMCFALzAXmAA8KIer6KpA5HFDS/AcIIcS1wKXAxw+zG6YemAC8LYRoRrk0i4UQRw/oqvofm4HfS4XXAY/iG3KGNEqa/wAghLgI5Q+fJaXsx/GuAw8p5XJgZPDafwDM7q1LbIjiEeAc4FkhxCQgyuHfyQiUNH/REEL8GvgbMFkIsVkIcT1wJ1ABPCmEWCqE+PGALvIA0MP5HVbo4RzvA+r89N9vgE8fZhZcjyiV95ZQwhGKkuYvoYQjFCXhL6GEIxQl4S+hhCMUJeEvoYQjFCXhL6GEIxQl4S+hhCMUJeEvoYQjFCXhPwwhhJjjcwzEhRDlfp/6tIFeVwmDC6Uin8MUQohvoIZBlAGbpZTfHOAllTDIUBL+wxQ+xfMbqEkwp0opB/fI2BIOOUpm/+GLYUAS1XsQ72PbEo5AlDT/YQohxJ9QjSoTgFHhuW4llACllt7DEkKITwG2lPJX/njnV4QQ86WUzwz02koYPChp/hJKOEJR8vlLKOEIRUn4SyjhCEVJ+Eso4QhFSfhLKOEIRUn4SyjhCEVJ+Eso4QhFSfhLKOEIxf8PlhzABydN7BgAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -6431,9 +6429,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 2;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.3/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [];\n  var js_modules = [];\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      inject_raw_css(\".bk.panel-widget-box {\\n  min-height: 20px;\\n  background-color: #f5f5f5;\\n  border: 1px solid #e3e3e3;\\n  border-radius: 4px;\\n  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n  box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n  overflow-x: hidden;\\n  overflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n  appearance: none;\\n  -moz-appearance: none;\\n  -webkit-appearance: none;\\n  border: none;\\n  height: 20px;\\n  background-color: whiteSmoke;\\n  border-radius: 3px;\\n  box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n  color: royalblue;\\n  position: relative;\\n  margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n  background-color: whiteSmoke;\\n  border-radius: 3px;\\n  box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n  position: relative;\\n  background-size: 35px 20px, 100% 100%, 100% 100%;\\n  border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n  background-size: 35px 20px, 100% 100%, 100% 100%;\\n  border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n  border-radius:3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n  background-position: 10%;\\n  animation-name: stripes;\\n  animation-duration: 3s;\\n  animation-timing-function: linear;\\n  animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n  border-radius: 3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n  content:\\\" \\\";\\n  position:absolute;\\n  height: 20px;\\n  top:0;\\n  left:0;\\n  right:0;\\n  bottom:0;\\n  border-radius: 3px;\\n  background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n  overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n  content: \\\"\\\";\\n  border-radius: 50%;\\n  -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n  width: 100%;\\n  height: 100%;\\n  left: 0;\\n  top: 0;\\n  position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n  background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n  background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n  animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n  0% { -webkit-transform: rotate(0deg); }\\n  100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n  0% { transform: rotate(0deg); }\\n  100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  background-color: #fff;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n  background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n  background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n  background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n  background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n  background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n  background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n  background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n  background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n  border: 0;\\n  border-radius: 0;\\n  min-height: 0;\\n  padding-left: 0;\\n  padding-right: 0;\\n  font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n  display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n  top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n  bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n  white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n  border: 1px solid #ccc;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\".bk.debugger-card {\\n  border: 1px solid rgba(0,0,0,1);\\n  color: rgba(255,255,255,1);\\n  background-color: rgba(0,0,0,1);\\n  border-radius: 0rem;\\n}\\n.bk.debugger-card-header {\\n  align-items: center;\\n  text-align: left;\\n  background-color: rgba(0, 0, 0, 1)!important;\\n  color: rgba(255, 255, 255, 1);\\n  border-radius: 0rem;\\n  display: inline-flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.debugger-card-button {\\n  background-color: transparent;\\n  color: rgba(255, 255, 255, 1);\\n  margin-left: 0.5em;\\n}\\n.bk.debugger-card-title {\\n  align-items: center;\\n  text-align: left;\\n  color: rgba(255, 255, 255, 1);\\n  font-size: 1em;\\n  overflow-wrap: break-word;\\n}\\n\\n/* Special debugger buttons for clearing and saving */\\n.bk button.special_btn {\\n    width: 25px;\\n    height: 25px;\\n    background-color: black;\\n    color: white;\\n    display: inline-block;\\n}\\n\\n\\n.bk button.special_btn .tooltiptext {\\n  visibility: hidden;\\n  width: 100px;\\n  background-color: darkgray;\\n  color: #fff;\\n  text-align: center;\\n  border-radius: 6px;\\n  padding: 5px 0;\\n\\n  /* Position the tooltip */\\n  position: relative;\\n  z-index: 1;\\n  top: 100%;\\n  left: 100%;\\n  margin-left: -100px;\\n  display: block;\\n}\\n\\n.bk button.special_btn:hover .tooltiptext {\\n  visibility: visible;\\n}\\n\\n\\n\\n.bk button.clear_btn:hover .shown { display: none;}\\n.bk button.clear_btn:hover:before { content: \\\"\\u2611\\\"; }\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\\n.markdown .codehilite {\\n    padding: 1rem 1.25rem;\\n    margin-top: 1rem;\\n    margin-bottom: 1rem;\\n    border-radius: 0.25rem;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\".bk.pn-loading {\\n  overflow: hidden;\\n}\\n.bk.pn-loading:before {\\n  position: absolute;\\n  height: 100%;\\n  width: 100%;\\n  content: '';\\n  z-index: 1000;\\n  background-color: rgb(255,255,255,0.50);\\n  border-color: lightgray;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  background-size: auto 50%;\\n  border-width: 1px;\\n  cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n  cursor: progress;\\n}\\n.bk.pn-loading .pn-loading-msg {\\n  position: absolute;\\n  top: 72%;\\n  font-size: 2em;\\n  color: black;\\n  width: 100%;\\n  text-align: center;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\".bk.alert {\\n    padding: 0.75rem 1.25rem;\\n    border: 1px solid transparent;\\n    border-radius: 0.25rem;\\n    /* Don't set margin because that will not render correctly! */\\n    /* margin-bottom: 1rem; */\\n    margin-top: 15px;\\n    margin-bottom: 15px;\\n}\\n.bk.alert a {\\n    color: rgb(11, 46, 19); /* #002752; */\\n    font-weight: 700;\\n    text-decoration: rgb(11, 46, 19);\\n    text-decoration-color: rgb(11, 46, 19);\\n    text-decoration-line: none;\\n    text-decoration-style: solid;\\n    text-decoration-thickness: auto;\\n  }\\n.bk.alert a:hover {\\n    color: rgb(11, 46, 19);\\n    font-weight: 700;\\n    text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n    color: #004085;\\n    background-color: #cce5ff;\\n    border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n    border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n    color: #383d41;\\n    background-color: #e2e3e5;\\n    border-color: #d6d8db;\\n  }\\n.bk.alert-secondary hr {\\n    border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n    color: #155724;\\n    background-color: #d4edda;\\n    border-color: #c3e6cb;\\n  }\\n\\n.bk.alert-success hr {\\n    border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n    color: #0c5460;\\n    background-color: #d1ecf1;\\n    border-color: #bee5eb;\\n  }\\n.bk.alert-info hr {\\n    border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n    color: #856404;\\n    background-color: #fff3cd;\\n    border-color: #ffeeba;\\n  }\\n\\n.bk.alert-warning hr {\\n    border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n    color: #721c24;\\n    background-color: #f8d7da;\\n    border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n    border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n    color: #818182;\\n    background-color: #fefefe;\\n    border-color: #fdfdfe;\\n  }\\n.bk.alert-light hr {\\n    border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n    color: #1b1e21;\\n    background-color: #d6d8d9;\\n    border-color: #c6c8ca;\\n  }\\n.bk.alert-dark hr {\\n    border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n    color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n    color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n    color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n    color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n    color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n    color: #491217;\\n}\\n\\n.bk.alert-light a {\\n    color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n    color: #040505;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\".bk.card {\\n  border: 1px solid rgba(0,0,0,.125);\\n  border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n  border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0.25rem;\\n  display: inline-flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.accordion-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0;\\n  display: flex;\\n  justify-content: start;\\n  width: 100%;\\n}\\n.bk.card-button {\\n  background-color: transparent;\\n  margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n  position: relative !important;\\n}\\n.bk.card-title {\\n  align-items: center;\\n  font-size: 1.4em;\\n  font-weight: bold;\\n  overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n  overflow-wrap: break-word;\\n  text-align: center;\\n}\\n\");\n    },    function(Bokeh) {\n      inject_raw_css(\"\\n    .bk.pn-loading.arc:before {\\n      background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n      background-size: auto calc(min(50%, 400px));\\n    }\\n    \");\n    },    function(Bokeh) {\n      /* BEGIN bokeh.min.js */\n      /*!\n       * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        const bokeh = factory();\n        bokeh.__bokeh__ = true;\n        if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n          root.Bokeh = bokeh;\n        }\n        const Bokeh = root.Bokeh;\n        Bokeh[bokeh.version] = bokeh;\n      })(this, function() {\n        let define;\n        const parent_require = typeof require === \"function\" && require\n        return (function(modules, entry, aliases, externals) {\n        if (aliases === undefined) aliases = {};\n        if (externals === undefined) externals = {};\n\n        const cache = {};\n\n        const normalize = function(name) {\n          if (typeof name === \"number\")\n            return name;\n\n          if (name === \"bokehjs\")\n            return entry;\n\n          if (!externals[name]) {\n            const prefix = \"@bokehjs/\"\n            if (name.slice(0, prefix.length) === prefix)\n              name = name.slice(prefix.length)\n          }\n\n          const alias = aliases[name]\n          if (alias != null)\n            return alias;\n\n          const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n          const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n          if (index != null)\n            return index;\n\n          return name;\n        }\n\n        const require = function(name) {\n          let mod = cache[name];\n          if (!mod) {\n            const id = normalize(name);\n\n            mod = cache[id];\n            if (!mod) {\n              if (!modules[id]) {\n                if (externals[id] === false || (externals[id] == true && parent_require)) {\n                  try {\n                    mod = {exports: externals[id] ? parent_require(id) : {}};\n                    cache[id] = cache[name] = mod;\n                    return mod.exports;\n                  } catch (e) {}\n                }\n\n                const err = new Error(\"Cannot find module '\" + name + \"'\");\n                err.code = 'MODULE_NOT_FOUND';\n                throw err;\n              }\n\n              mod = {exports: {}};\n              cache[id] = cache[name] = mod;\n\n              function __esModule() {\n                Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n              }\n\n              function __esExport(name, 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plugin_aliases = {};\n          if (plugin_externals === undefined) plugin_externals = {};\n\n          for (let name in plugin_modules) {\n            modules[name] = plugin_modules[name];\n          }\n\n          for (let name in plugin_aliases) {\n            aliases[name] = plugin_aliases[name];\n          }\n\n          for (let name in plugin_externals) {\n            externals[name] = plugin_externals[name];\n          }\n\n          const plugin = require(plugin_entry);\n\n          for (let name in plugin) {\n            main[name] = plugin[name];\n          }\n\n          return plugin;\n        }\n\n        return main;\n      })\n      ([\n      function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(2),n)},\n      function _(t,e,r,n,o){n();var a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in 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c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new 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t=e.get_value();if(null!=t){const{transform:e,expr:s}=t;null!=e&&this.connect(e.change,(()=>this.transformchange.emit())),null!=s&&this.connect(s.change,(()=>this.exprchange.emit()))}}this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){c.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return(new m.Cloner).clone(this)}changed_for(e){const t=this._watchers.get(e);return this._watchers.set(e,!1),null==t||t}_setv(e,t){const s=t.check_eq,n=[],r=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&(0,p.is_equal)(t.get_value(),r)||(t.set_value(r),n.push(t));n.length>0&&(this._watchers=new WeakMap,this._pending=!0);for(const e of n)e.change.emit();if(!r){if(!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){const s=(0,l.entries)(e);if(0==s.length)return;if(!0===t.silent){this._watchers=new WeakMap;for(const[e,t]of s)this.properties[e].set_value(t);return}const n=new Map,r=new Map;for(const[e,t]of s){const s=this.properties[e];n.set(s,t),r.set(s,s.get_value())}this._setv(n,t);const{document:i}=this;if(null!=i){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){i._invalidate_all_models();break}this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){yield*(0,l.values)(this.properties)}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _json_record_references(e,t,s,n){const{recursive:r}=n;if((0,a.is_ref)(t)){const n=e.get_model_by_id(t.id);null==n||s.has(n)||w._value_record_references(n,s,{recursive:r})}else 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e in l.named_colors}},\n      function _(r,t,n,a,o){a(),n.GeneratorFunction=Object.getPrototypeOf((function*(){})).constructor,n.ColorArray=Uint32Array,n.RGBAArray=Uint8ClampedArray,n.infer_type=function(r,t){return r instanceof Float64Array||r instanceof Array||t instanceof Float64Array||t instanceof Array?Float64Array:Float32Array},n.ScreenArray=Float32Array,n.to_screen=function(r){return r instanceof Float32Array?r:Float32Array.from(r)},o(\"Indices\",r(25).BitSet)},\n      function _(t,s,r,e,i){var n;e();const o=t(26),a=t(11);class _{constructor(t,s=0){this.size=t,this[n]=\"BitSet\",this._count=null,this._nwords=Math.ceil(t/32),0==s||1==s?(this._array=new Uint32Array(this._nwords),1==s&&this._array.fill(4294967295)):((0,a.assert)(s.length==this._nwords,\"Initializer size mismatch\"),this._array=s)}clone(){return new _(this.size,new 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u{constructor(t=1e-4){super(),this.tolerance=t}numbers(t,e){return super.numbers(t,e)||l(t-e)<this.tolerance}}function f(t,e){return(new u).eq(t,e)}r.SimilarComparator=b,b.__name__=\"SimilarComparator\",r.is_equal=f,r.is_similar=function(t,e,r){return new b(r).eq(t,e)},r.isEqual=f},\n      function _(n,i,e,t,r){t(),e.is_windows=navigator.appVersion.includes(\"Windows\"),e.is_ie=(()=>{const n=navigator.userAgent;return n.includes(\"MSIE\")||n.includes(\"Trident\")||n.includes(\"Edge\")})(),e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=(()=>{const n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;let e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e})(),e.BYTE_ORDER=e.is_little_endian?\"little\":\"big\",e.to_big_endian=function(n){if(e.is_little_endian){const i=new Uint32Array(n.length),e=new DataView(i.buffer);let t=0;for(const i of n)e.setUint32(t,i),t+=4;return i}return n}},\n      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t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return 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r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n      function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n      function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n      function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r<t;r++){const t=this.hatch_color.get(r),i=this.hatch_alpha.get(r),h=this.hatch_scale.get(r);e(this.hatch_pattern.get(r),t,i,h,this.hatch_weight.get(r),(t=>{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n      function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n      function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n      function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n      function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}invert(e){return this.s_invert(e)}v_invert(e){const t=new Float64Array(e.length),{s_invert:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}r_compute(e,t){const{s_compute:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}r_invert(e,t){const{s_invert:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}}r.Scale=u,_=u,u.__name__=\"Scale\",_.internal((({Ref:e})=>({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n      function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n      function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n      function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n      function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n      function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n      function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n      function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n      function _(t,i,n,e,a){e();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=d.empty();for(const[i,n]of t)i.visible&&(a=d.union(a,n));return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,l;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,h.logger.warn(`could not determine minimum data value for log axis, DataRange1d using value ${t}`)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,h.logger.warn(`could not determine maximum data value for log axis, DataRange1d using value ${i}`)),i==t)l=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),l=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),l=a-e),s=(e+a)/2}e=10**(s-l/2),a=10**(s+l/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const l=this.follow_interval;return null!=l&&Math.abs(e-a)>l&&(\"start\"==this.follow?a=e+s*l:\"end\"==this.follow&&(e=a-s*l)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.entries(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n      function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n      function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1<this.x0||t.x0>this.x1||t.y1<this.y0||t.y0>this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=o,o.__name__=\"BBox\"},\n      function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n      function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;s<t.length;s++){const r=t[s];if(i.has(r))throw new Error(`duplicate factor or subfactor: ${r}`);i.set(r,{value:.5+s*(1+n)+e})}return[i,(t.length-1)*n]}function d(t,n,e,i=0){var s;const r=new Map,a=new Map;for(const[n,e]of t){const t=null!==(s=a.get(n))&&void 0!==s?s:[];a.set(n,[...t,e])}let o=i,g=0;for(const[t,i]of a){const s=i.length,[a,p]=h(i,e,o);g+=p;const l=(0,c.sum)(i.map((t=>a.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i<n;i++)e[i]=this.synthetic(t[i]);return e}_init(t){const{levels:n,mapping:e,tops:i,mids:s,inside_padding:r}=(()=>{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n      function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t<n;t++)_[t]=Math.PI/2+(0,v.atan2)([e[t],s[t]],[a[t],i[t]])}paint(t){const{start:e,end:s}=this,{_sx_start:a,_sy_start:i,_sx_end:n,_sy_end:_,_angles:r}=this,{x:o,y:l,width:d,height:h}=this.plot_view.frame.bbox;for(let c=0,u=a.length;c<u;c++)null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.render(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.render(t,c),t.restore()),this.visuals.line.doit&&(t.save(),null==e&&null==s||(t.beginPath(),t.rect(o,l,d,h),null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.clip(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.clip(t,c),t.restore()),t.closePath(),t.clip()),this.visuals.line.set_vectorize(t,c),t.beginPath(),t.moveTo(a[c],i[c]),t.lineTo(n[c],_[c]),t.stroke(),t.restore())}}s.ArrowView=p,p.__name__=\"ArrowView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.Arrow=x,_=x,x.__name__=\"Arrow\",_.prototype.default_view=p,_.mixins(l.LineVector),_.define((({Ref:t,Nullable:e})=>({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n      function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n      function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n      function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n      function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return 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o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n      function _(e,a,t,o,n){o();const r=e(1);const l=(0,r.__importDefault)(e(90)),d=e(91);function i(e){return.017453292519943295*e}t.default=function(e){var a=(0,l.default)(e),t=a.shift(),o=a.shift();a.unshift([\"name\",o]),a.unshift([\"type\",t]);var n={};return(0,d.sExpr)(a,n),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var a=\"\",t=0,o=e.AXIS.length;t<o;++t){var n=[e.AXIS[t][0].toLowerCase(),e.AXIS[t][1].toLowerCase()];-1!==n[0].indexOf(\"north\")||(\"y\"===n[0]||\"lat\"===n[0])&&\"north\"===n[1]?a+=\"n\":-1!==n[0].indexOf(\"south\")||(\"y\"===n[0]||\"lat\"===n[0])&&\"south\"===n[1]?a+=\"s\":-1!==n[0].indexOf(\"east\")||(\"x\"===n[0]||\"lon\"===n[0])&&\"east\"===n[1]?a+=\"e\":-1===n[0].indexOf(\"west\")&&(\"x\"!==n[0]&&\"lon\"!==n[0]||\"west\"!==n[1])||(a+=\"w\")}2===a.length&&(a+=\"u\"),3===a.length&&(e.axis=a)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(a){return a*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_1\",\"Latitude 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Stereographic (variant B)\"!==e.projName||(e.lat0=i(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n      function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in 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a[r]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&E(e[3],a[r]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void n(a,r,e);default:for(s=-1;++s<e.length;)if(!Array.isArray(e[s]))return E(e,a[r]);return n(a,r,e)}}else a[r]=e;else a[r]=!0}else a[e]=!0}s(),r.sExpr=E},\n      function _(n,r,f,i,t){i(),f.default=function(n,r){var f,i;if(n=n||{},!r)return n;for(i in r)void 0!==(f=r[i])&&(n[i]=f);return n}},\n      function _(t,o,a,e,n){e();const r=t(1),f=(0,r.__importDefault)(t(94)),u=(0,r.__importDefault)(t(100));var i=[f.default,u.default],c={},d=[];function s(t,o){var a=d.length;return t.names?(d[a]=t,t.names.forEach((function(t){c[t.toLowerCase()]=a})),this):(console.log(o),!0)}function l(t){if(!t)return!1;var o=t.toLowerCase();return void 0!==c[o]&&d[c[o]]?d[c[o]]:void 0}function v(){i.forEach(s)}a.add=s,a.get=l,a.start=v,a.default={start:v,add:s,get:l}},\n      function _(t,i,s,h,a){h();const e=t(1),r=(0,e.__importDefault)(t(95)),n=(0,e.__importDefault)(t(96)),l=(0,e.__importDefault)(t(98)),u=(0,e.__importDefault)(t(99)),o=t(85);function f(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=(0,r.default)(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function _(t){var i,s,h=t.x,a=t.y;if(a*o.R2D>90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n      function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n      function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return 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a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)<i.EPSLN)&&(n=!0,r=t),{a:t,b:r,rf:e,sphere:n}}},\n      function _(e,a,l,s,r){s();var i={};l.default=i,i.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},i.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},i.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},i.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},i.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},i.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. 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s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n      function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n      function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n      function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n      function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n      function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n      function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n      function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n      function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e<o;e++)t.fillText(h[e],i,z),i+=_[e]+l;z+=x.height+a}else for(let e=0;e<_;e++){const s=v+(()=>{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n      function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n<s&&(n=s,t.width=s),r<u&&(r=u,t.height=u),e.save(),e.scale(a,a),e.fillStyle=\"#f00\",e.fillRect(0,0,s,u);const f=t=>{let e=0;for(let n=0;n<=i;n++)for(let r=0;r<s;r++,e+=4)if(255!=t[e])return i-n;return 0};e.font=l,e.fillStyle=\"#000\";for(const t of\"xa\")e.fillText(t,0,i/a);const{data:h}=e.getImageData(0,0,s,u),g=f(h)/a;for(const t of\"ASQ\")e.fillText(t,0,i/a);const{data:d}=e.getImageData(0,0,s,u),x=f(d)/a;for(const t of\"\\xc5\\u015agy\")e.fillText(t,0,i/a);const{data:m}=e.getImageData(0,0,s,u),B=f(m)/a,w=(t=>{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r<s;r++,e-=4)if(255!=t[e])return n-i;return 0})(m)/a;return e.restore(),{height:B+w,ascent:B,cap_height:x,x_height:g,descent:w}}})(),i=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n<u||r<i)&&(n=u,t.width=u,r=i,t.height=i),e.save(),e.scale(c,c),e.fillStyle=\"#f00\",e.fillRect(0,0,u,i);e.font=a,e.fillStyle=\"#000\",e.fillText(l,0,f/c);const h=e.measureText(l),{data:g}=e.getImageData(0,0,u,i),d=(t=>{let e=0;for(let n=0;n<=f;n++)for(let r=0;r<u;r++,e+=4)if(255!=t[e])return f-n;return 0})(g)/c,x=(t=>{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r<u;r++,e-=4)if(255!=t[e])return n-f;return 0})(g)/c;return e.restore(),{width:h.width,height:d+x,ascent:d,descent:x}}})(),f=(()=>{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n      function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o<c;o++){const c=t[o],p=s[o];t[o]=r*c+i*p+a,s[o]=n*c+e*p+h}}transform(t,s,r,n,i,e){const{a,b:h,c,d:o,e:p,f}=this;return this.a=a*t+c*s,this.c=a*r+c*n,this.e=a*i+c*e+p,this.b=h*t+o*s,this.d=h*r+o*n,this.f=h*i+o*e+f,this}translate(t,s){return this.transform(1,0,0,1,t,s)}scale(t,s){return this.transform(t,0,0,s,0,0)}skew(t,s){return this.transform(1,s,t,1,0,0)}rotate(t){const s=e(t),r=a(t);return this.transform(r,s,-s,r,0,0)}rotate_ccw(t){return this.rotate(-t)}translate_x(t){return this.translate(t,0)}translate_y(t){return this.translate(0,t)}flip(){return this.scale(-1,-1)}flip_x(){return this.scale(1,-1)}flip_y(){return this.scale(-1,1)}}r.AffineTransform=h,h.__name__=\"AffineTransform\"},\n      function _(t,e,i,l,r){l();const a=t(124),o=t(125),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return(0,n.isString)(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return(0,n.isString)(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n      function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=(0,n.Enum)(\"fixed\",\"fit\",\"min\",\"max\")},\n      function _(i,t,h,e,n){e();const s=i(124),r=i(65),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(i,t)),this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n      function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n      function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n      function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e<a.length;e++){const i=Math.round(a[e]+l*_),s=Math.round(o[e]+n*r);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,o=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,o)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,o=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,o)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),o=this.model.major_label_orientation,l=e.tick+this.model.major_label_standoff,n=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,o,this.panel.side,l,n)}_axis_label_extent(){if(null==this._axis_label_view)return 0;const t=this._axis_label_view.graphics();t.visuals=this.visuals.axis_label_text.values(),t.angle=this.panel.get_label_angle_heuristic(\"parallel\"),(0,f.isNumber)(this.plot_view.base_font_size)&&(t.base_font_size=this.plot_view.base_font_size);const e=t.size(),i=0==this.dimension?e.height:e.width,s=this.model.axis_label_standoff;return i>0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;e<n.length;e++){const i=Math.round(n[e]+d),s=Math.round(_[e]+x),a=Math.round(n[e]+u),o=Math.round(_[e]+m);t.moveTo(i,s),t.lineTo(a,o)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,o,l){if(!l.doit||0==e.length)return;const[n,_]=i,[r,h]=this.coordinates.map_to_screen(n,_),[c,b]=this.offsets,[m,d]=this.normals,x=m*(c+o),f=d*(b+o),{vertical_align:p,align:v}=this.panel.get_label_text_heuristics(s),w=this.panel.get_label_angle_heuristic(s);e.visuals=l.values(),e.angle=w,e.base_font_size=this.plot_view.base_font_size;for(let t=0;t<e.length;t++){const i=e.items[t];i.position={sx:r[t]+x,sy:h[t]+f,x_anchor:v,y_anchor:p},i instanceof g.TextBox&&(i.align=v)}const j=e.length,k=u.Indices.all_set(j),{items:y}=e,z=y.map((t=>t.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;a<t.length;a++){const o=i.get(t[a].toString());null!=o&&(s.add(o),e[a]=o.graphics())}for(const t of this._major_label_views.values())s.has(t)||(t._has_finished=!0);return new g.GraphicsBoxes(e)}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=z(this.layout.bbox.top-t.bbox.bottom);break;case\"above\":i=z(this.layout.bbox.bottom-t.bbox.top);break;case\"right\":e=z(this.layout.bbox.left-t.bbox.right);break;case\"left\":e=z(this.layout.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,o]=e,[l,n]=i,{min:_,max:r}=Math;return z(a-o)>z(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<l.length;i++)l[i]<h||l[i]>c||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n      function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n      function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n      function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n      function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)<t?e.unset(n):i=n;return e}}s.NoOverlap=m,c=m,m.__name__=\"NoOverlap\",c.define((({Number:e})=>({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n      function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n      function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n      function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n      function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} 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e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(519)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n      function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n      function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n      function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const p=(e.synthetic(s)+e.synthetic(o))/2;p>i&&p<r&&(_[a].push(p),_[l].push(this.loc))}const p=this.extents.tick_label;this._draw_ticks(t,_,-3,p-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_labels[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e),r=this.tick_coords,a=[],l=t=>new h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n      function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&t<s&&e.push(r)}return e}}o.CategoricalTicker=i,i.__name__=\"CategoricalTicker\"},\n      function _(t,r,o,c,a){c();const e=t(131),n=t(9);class i extends e.TickFormatter{constructor(t){super(t)}doFormat(t,r){return(0,n.copy)(t)}}o.CategoricalTickFormatter=i,i.__name__=\"CategoricalTickFormatter\"},\n      function _(s,n,i,o,u){o();const e=s(128);class t extends e.AxisView{}i.ContinuousAxisView=t,t.__name__=\"ContinuousAxisView\";class _ extends e.Axis{constructor(s){super(s)}}i.ContinuousAxis=_,_.__name__=\"ContinuousAxis\"},\n      function _(e,t,i,a,r){var s;a();const n=e(145),m=e(150),_=e(155);class c extends n.LinearAxisView{}i.DatetimeAxisView=c,c.__name__=\"DatetimeAxisView\";class o extends n.LinearAxis{constructor(e){super(e)}}i.DatetimeAxis=o,s=o,o.__name__=\"DatetimeAxis\",s.prototype.default_view=c,s.override({ticker:()=>new _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n      function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n      function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=o;break}e[0]=(0,c.to_fixed)(i[0],o);for(let t=1;t<i.length;t++)if(e[t]=(0,c.to_fixed)(i[t],o),e[t]==e[t-1])continue i;this.last_precision=o;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),n=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,n)}}e.BasicTickFormatter=a,r=a,a.__name__=\"BasicTickFormatter\",r.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n      function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n      function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const 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f=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends a.TickFormatter{constructor(s){super(s),this.strip_leading_zeros=!0}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const s=+(0,o.default)(new Date),t=function(t){const e=t.map((t=>l(s,t).length)),n=(0,m.sort_by)((0,m.zip)(e,t),(([s])=>s));return(0,m.unzip)(n)};this._width_formats={microseconds:t(this.microseconds),milliseconds:t(this.milliseconds),seconds:t(this.seconds),minsec:t(this.minsec),minutes:t(this.minutes),hourmin:t(this.hourmin),hours:t(this.hours),days:t(this.days),months:t(this.months),years:t(this.years)}}_get_resolution_str(s,t){const e=1.1*s;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return t>=60?\"minsec\":\"seconds\";case!(e<3600):return 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n      function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const 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N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n      function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n      function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n      function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n      function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)<this.min_exponent){const t=new l.TextBox({text:(0,s.unicode_replace)(`${r**e}`)}),n=new l.TextBox({text:\"\"});return new l.BaseExpo(t,n)}{const t=new l.TextBox({text:(0,s.unicode_replace)(`${r}`)}),n=new l.TextBox({text:(0,s.unicode_replace)(`${e}`)});return new l.BaseExpo(t,n)}}))}_exponents(e,t){let n=null;const o=[];for(const r of e){const e=_(x(r)/x(t));if(n==e)return null;n=e,o.push(e)}return o}doFormat(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.doFormat(e,t):i.map((e=>u(e)<this.min_exponent?(0,s.unicode_replace)(`${r**e}`):(0,s.unicode_replace)(`${r}^${e}`)))}}n.LogTickFormatter=p,i=p,p.__name__=\"LogTickFormatter\",i.define((({Int:e,Ref:t,Nullable:n})=>({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n      function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n      function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n      function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=a.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=a.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=l,i=l,l.__name__=\"MercatorTickFormatter\",i.define((({Nullable:r})=>({dimension:[r(s.LatLon),null]})))},\n      function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n      function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n      function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n      function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e<s.length;e+=l)_.push(s[e]);return{major:_,minor:[]}}}t.BinnedTicker=m,o=m,m.__name__=\"BinnedTicker\",o.define((({Number:e,Ref:n,Or:t,Auto:r})=>({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n      function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(n<o.binning[0])return i;if(n>o.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n      function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n<i;n++){const i=t[n];isNaN(i)?e[n]=s:e[n]=this.cmap(i,o,l,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}o.ContinuousColorMapper=r,l=r,r.__name__=\"ContinuousColorMapper\",l.define((({Number:t,String:e,Ref:o,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n      function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;t<n;t++)r[t]=p(e[t]);return r}t._convert_color=p,t._convert_palette=u;class h extends c.Mapper{constructor(e){super(e)}initialize(){super.initialize(),this.metrics_change=new i.Signal0(this,\"metrics_change\")}v_compute(e){const r=new Array(e.length);return this._v_compute(e,r,this.palette,this._colors((e=>e))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n      function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n      function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{fill_alpha:.2},line:{}};class x extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),null!=c&&(this.hover_glyph=await this.build_glyph_view(c)),_=n(V,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e<l;e+=s)this.decimated.set(e);this.plot_view.invalidate_dataranges=!0}set_visuals(){var e;const t=this.model.data_source,{all_indices:i}=this;this.glyph.set_visuals(t,i),this.decimated_glyph.set_visuals(t,i),this.selection_glyph.set_visuals(t,i),this.nonselection_glyph.set_visuals(t,i),null===(e=this.hover_glyph)||void 0===e||e.set_visuals(t,i),this.muted_glyph.set_visuals(t,i)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let h;h=!l||l.is_empty()?[]:this.glyph instanceof o.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:n}=this.model.data_source,r=new Set((()=>!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=x,x.__name__=\"GlyphRendererView\";class G extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=G,h=G,G.__name__=\"GlyphRenderer\",h.prototype.default_view=x,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n      function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n      function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(426))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=h.dist_to_segment(i,l,_);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.view=this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new c.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),l=this._y):(n=this.renderer.xscale.invert(t),l=this._x);for(let e=0,t=l.length-1;e<t;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return(0,o.line_interpolation)(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){(0,o.generic_line_scalar_legend)(this.visuals,e,t)}}i.LineView=d,d.__name__=\"LineView\";class p extends r.XYGlyph{constructor(e){super(e)}}i.Line=p,_=p,p.__name__=\"Line\",_.prototype.default_view=d,_.mixins(a.LineScalar)},\n      function _(e,t,_,s,i){s();const n=e(1);var a;const o=e(78),c=(0,n.__importStar)(e(18)),p=e(179);class r extends p.GlyphView{_project_data(){o.inplace.project_xy(this._x,this._y)}_index_data(e){const{_x:t,_y:_,data_size:s}=this;for(let i=0;i<s;i++){const s=t[i],n=_[i];e.add_point(s,n)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}_.XYGlyphView=r,r.__name__=\"XYGlyphView\";class d extends p.Glyph{constructor(e){super(e)}}_.XYGlyph=d,a=d,d.__name__=\"XYGlyph\",a.define((({})=>({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n      function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;e<r;e++){const i=t[e],n=s.get(e)/2,r=o(i-n),_=o(i+n);a[e]=b(_-r)}else for(let e=0;e<r;e++){const i=t[e],n=o(i),r=o(i+s.get(e));a[e]=b(r-n)}return n&&(0,p.inplace_map)(a,(e=>m(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e<o.length;e++)o[e]=_.v_synthetic(o[e]);let l;l=s instanceof a.CoordinateSeqSpec?f.RaggedArray.from(o,Float64Array):o,this._configure(`_${s.attr}`,{value:l})}else{const i=s.uniform(e).select(t);if(this._configure(s,{value:i}),s instanceof a.DistanceSpec){const e=i.is_Scalar()?i.value:(0,p.max)(i.array);this._configure(`max_${s.attr}`,{value:e})}}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(null!=s?s:null),null===(i=this.glglyph)||void 0===i||i.set_data_changed(),this.index_data()}_set_data(e){}get _index_size(){return this.data_size}index_data(){const e=new y.SpatialIndex(this._index_size);this._index_data(e),e.finish(),this._index=e}mask_data(){return null==this._mask_data?d.Indices.all_set(this.data_size):this._mask_data()}map_data(){var e;const t=this,{x_scale:s,y_scale:i}=this.renderer.coordinates;for(const e of this.model)if(e instanceof a.BaseCoordinateSpec){const n=\"x\"==e.dimension?s:i;let r=t[`_${e.attr}`];if(r instanceof f.RaggedArray){const e=n.v_compute(r.array);r=new f.RaggedArray(r.offsets,e)}else r=n.v_compute(r);this[`s${e.attr}`]=r}this._map_data(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_map_data(){}}s.GlyphView=w,w.__name__=\"GlyphView\";class S extends 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this.array.subarray(s[t],s[t+1])}set(t,s){this._check_bounds(t),this.array.set(s,this.offsets[t])}}r.RaggedArray=i,i.__name__=\"RaggedArray\",i[n]=\"RaggedArray\"},\n      function _(i,t,n,e,s){e();const d=(0,i(1).__importDefault)(i(182)),o=i(24),x=i(65);function h(i,t){let n=0,e=t.length-1;for(;n<e;){const s=n+e>>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h<o;h+=4){const o=0|this._indices[h>>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];n<r||(e<l||i>a||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&s<t.x0&&(t.x0=s),o<=i.x1&&o>t.x1&&(t.x1=o),d>=i.y0&&d<t.y0&&(t.y0=d),x<=i.y1&&x>t.y1&&(t.y1=x)}return 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n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],_=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=m(_,x)}x(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_<a;_+=4){const 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r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.dist_2_pts=s,e.dist_to_segment_squared=o,e.dist_to_segment=function(t,n,e){return Math.sqrt(o(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,u){const c=(u-s)*(e-t)-(o-r)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-s,h=t-r;const l=(e-t)*_-(i-n)*h;_=((o-r)*_-(u-s)*h)/c,h=l/c;return{hit:_>0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n      function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n<i;n++){const i=this._x1[n],h=this._x2[n],r=this._y[n];t.add_rect(s(i,h),r,e(i,h),r)}}_render(t,s,e){const{sx1:i,sx2:n,sy:h}=null!=e?e:this;t.beginPath();for(let s=0,e=i.length;s<e;s++)t.lineTo(i[s],h[s]);for(let s=n.length-1;s>=0;s--)t.lineTo(n[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}_hit_point(t){const s=this.sy.length,e=new l.Selection;for(let i=0,n=s-1;i<n;i++){const s=[this.sx1[i],this.sx1[i+1],this.sx2[i+1],this.sx2[i]],n=[this.sy[i],this.sy[i+1],this.sy[i+1],this.sy[i]];if(_.point_in_poly(t.sx,t.sy,s,n)){e.add_to_selected_glyphs(this.model),e.view=this,e.line_indices=[i];break}}return e}scenterxy(t){return[(this.sx1[t]+this.sx2[t])/2,this.sy[t]]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}e.HAreaView=c,c.__name__=\"HAreaView\";class x extends a.Area{constructor(t){super(t)}}e.HArea=x,r=x,x.__name__=\"HArea\",r.prototype.default_view=c,r.define((({})=>({x1:[o.XCoordinateSpec,{field:\"x1\"}],x2:[o.XCoordinateSpec,{field:\"x2\"}],y:[o.YCoordinateSpec,{field:\"y\"}]})))},\n      function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n      function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n<i;n++){const i=this._x[n],h=this._y1[n],r=this._y2[n];t.add_rect(i,s(h,r),i,e(h,r))}}_render(t,s,e){const{sx:i,sy1:n,sy2:h}=null!=e?e:this;t.beginPath();for(let s=0,e=n.length;s<e;s++)t.lineTo(i[s],n[s]);for(let s=h.length-1;s>=0;s--)t.lineTo(i[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const s=this.sx.length,e=new l.Selection;for(let i=0,n=s-1;i<n;i++){const s=[this.sx[i],this.sx[i+1],this.sx[i+1],this.sx[i]],n=[this.sy1[i],this.sy1[i+1],this.sy2[i+1],this.sy2[i]];if(_.point_in_poly(t.sx,t.sy,s,n)){e.add_to_selected_glyphs(this.model),e.view=this,e.line_indices=[i];break}}return e}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}e.VAreaView=c,c.__name__=\"VAreaView\";class y extends a.Area{constructor(t){super(t)}}e.VArea=y,r=y,y.__name__=\"VArea\",r.prototype.default_view=c,r.define((({})=>({x:[o.XCoordinateSpec,{field:\"x\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}],y2:[o.YCoordinateSpec,{field:\"y2\"}]})))},\n      function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;e<this._indices.length;e++)this.indices_map[this._indices[e]]=e}convert_selection_from_subset(e){return e.map((e=>this._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n      function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n      function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n      function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.use_strict)(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n      function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n      function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n      function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n      function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n      function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;e<l;e++)if(n[e]!==t[e])return!1;return!0}e._cat_equals=f,e.cat_v_compute=function(n,t,e,l,i,o,r){const _=n.length;for(let g=0;g<_;g++){let _,s,h=n[g];(0,u.isString)(h)?_=(0,c.index_of)(t,h):(null!=i?h=null!=o?h.slice(i,o):h.slice(i):null!=o&&(h=h.slice(0,o)),_=1==h.length?(0,c.index_of)(t,h[0]):(0,c.find_index)(t,(n=>f(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n      function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n      function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n      function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n      function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(o<l.min)return n;const s=Math.log(o)-Math.log(l.min);let e=Math.floor(s*l.scale);return e>a&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n      function _(e,n,s,t,l){var i;t();const r=e(171),o=e(12),c=e(9);class a extends r.ScanningColorMapper{constructor(e){super(e)}scan(e,n){let s=null!=this.low?this.low:(0,o.min)(e);const t=null!=this.high?this.high:(0,o.max)(e),l=this.bins,i=(0,c.linspace)(s,t,l+1),r=(0,o.bin_counts)(e,i);let a=0;for(let e=0;e<l;e++)0!=r[e]&&a++;const h=new Array(a+1),_=new Array(a+1);for(let e=0,n=1;e<l;e++)0!=r[e]&&(h[n]=r[e],_[n]=(i[e]+i[e+1])/2,n++);h[0]=0,_[0]=2*_[1]-_[a];const p=(0,c.cumsum)(h),u=p[1],m=p[a]-u;for(let e=1;e<=a;e++)p[e]=(p[e]-u)/m;p[0]=-1;let f=0;if(this.rescale_discrete_levels){const e=-.5/98,n=e*a+(1.5-2*e);n>1&&(f=1-n)}const d=(0,c.linspace)(f,1,n+1),g=(0,o.interpolate)(d,p,_);return this.rescale_discrete_levels?s=g[0]:g[0]=s,g[g.length-1]=t,{min:s,max:t,binning:g}}}s.EqHistColorMapper=a,i=a,a.__name__=\"EqHistColorMapper\",i.define((({Boolean:e,Int:n})=>({bins:[n,65536],rescale_discrete_levels:[e,!1]})))},\n      function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n      function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e<s;e++)_[e]=n+e*o;const l=(0,c.map)(e,(e=>{if(e<a)return a;if(e>i)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n      function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n      function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n      function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n      function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s<n;s++){const e=(()=>{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t<l;t++){const i=(()=>{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t<s;t++){const i=o[t];c[t]=\"fixed\"==i.policy?i.height:0}const p=new Array(e);for(let t=0;t<e;t++){const i=l[t];p[t]=\"fixed\"==i.policy?i.width:0}const _=new f;i.foreach(((i,s)=>{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:h-=r.row_heights[t]}if(h-=(i-1)*n,0!=p&&h>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(h*(i.flex/p));h-=s,r.row_heights[t]=s,p-=i.flex}}else if(h<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-h;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=r.row_heights[o],e=g(s/t);r.row_heights[o]=a(i-e,0),s-=e>i?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?f+=i.flex:c-=r.col_widths[t]}if(c-=(s-1)*l,0!=f&&c>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(c*(i.flex/f));c-=s,r.col_widths[t]=s,f-=i.flex}}else if(c<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-c;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=r.col_widths[e],o=g(i/t);r.col_widths[e]=a(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=f[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=_[i];t.left=s,s+=t.width+n}d.foreach((({r0:t,c0:i,r1:s,c1:e},l)=>{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n      function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n      function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n      function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n      function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s<i;s++){const i=this.x_offset.get(s),l=this.y_offset.get(s),o=this.sx[s]+i,a=this.sy[s]-l,r=this.angle.get(s);t(e,s,this.text.get(s),o,a,r)}}_v_canvas_text(t,e,s,i,l,o){const a=new c.TextBox({text:s});a.angle=o,a.position={sx:i,sy:l},a.visuals=this.visuals.text.values(e);const{background_fill:r,border_line:n}=this.visuals;if(r.doit||n.doit){const{p0:s,p1:i,p2:l,p3:o}=a.rect();t.beginPath(),t.moveTo(s.x,s.y),t.lineTo(i.x,i.y),t.lineTo(l.x,l.y),t.lineTo(o.x,o.y),t.closePath(),this.visuals.background_fill.apply(t,e),this.visuals.border_line.apply(t,e)}this.visuals.text.doit&&a.paint(t)}_v_css_text(t,e,s,i,l,o){(0,u.assert)(null!=this.els);const a=this.els[e];a.textContent=s,this.visuals.text.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=`${i}px`,a.style.top=`${l}px`,a.style.color=t.fillStyle,a.style.font=t.font,a.style.lineHeight=\"normal\",a.style.whiteSpace=\"pre\";const[r,n]=(()=>{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n      function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n      function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n      function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n      function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t<e;t++)i.lineTo(r[t],_[t]);i.closePath(),this.visuals.fill.apply(i),this.visuals.hatch.apply(i),this.visuals.line.apply(i)}}e.PolyAnnotationView=_,_.__name__=\"PolyAnnotationView\";class h extends l.Annotation{constructor(t){super(t)}update({xs:t,ys:n}){this.setv({xs:t,ys:n,screen:!0},{check_eq:!1})}}e.PolyAnnotation=h,a=h,h.__name__=\"PolyAnnotation\",a.prototype.default_view=_,a.mixins([c.Line,c.Fill,c.Hatch]),a.define((({Number:t,Array:n})=>({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n      function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n      function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n      function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n      function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n      function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n      function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n      function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 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bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(n&&r&&i){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||j(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return bt},failTimeout:function(){return this._timer=l((function(){this.state=bt}),this.options.interval,this),bt},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),Ft.VERSION=\"2.0.7\",Ft.defaults={domEvents:!1,touchAction:Tt,enable:!0,inputTarget:null,inputClass:null,preset:[[Nt,{enable:!1}],[Mt,{enable:!1},[\"rotate\"]],[Xt,{direction:6}],[Rt,{direction:6},[\"swipe\"]],[Yt],[Yt,{event:\"doubletap\",taps:2},[\"tap\"]],[zt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Wt(t,e){var i;this.options=s({},Ft.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((i=this).options.inputClass||(M?it:z?ct:R?pt:J))(i,k),this.touchAction=new St(this,this.options.touchAction),qt(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function qt(t,e){var i,n=t.element;n.style&&(f(t.options.cssProps,(function(r,s){i=x(n.style,s),e?(t.oldCssProps[i]=n.style[i],n.style[i]=r):n.style[i]=t.oldCssProps[i]||\"\"})),e||(t.oldCssProps={}))}Wt.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var i;this.touchAction.preventDefaults(t);var n=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<n.length;)i=n[s],2===e.stopped||r&&i!=r&&!i.canRecognizeWith(r)?i.reset():i.recognize(t),!r&&14&i.state&&(r=e.curRecognizer=i),s++}},get:function(t){if(t instanceof Pt)return t;for(var e=this.recognizers,i=0;i<e.length;i++)if(e[i].options.event==t)return e[i];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,i=b(e,t);-1!==i&&(e.splice(i,1),this.touchAction.update())}return this},on:function(t,e){if(t!==r&&e!==r){var i=this.handlers;return f(S(t),(function(t){i[t]=i[t]||[],i[t].push(e)})),this}},off:function(t,e){if(t!==r){var i=this.handlers;return f(S(t),(function(t){e?i[t]&&i[t].splice(b(i[t],e),1):delete i[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var n=i.createEvent(\"Event\");n.initEvent(t,!0,!0),n.gesture=e,e.target.dispatchEvent(n)}(t,e);var n=this.handlers[t]&&this.handlers[t].slice();if(n&&n.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<n.length;)n[r](e),r++}},destroy:function(){this.element&&qt(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(Ft,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:bt,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:Y,DIRECTION_ALL:30,Manager:Wt,Input:q,TouchAction:St,TouchInput:ct,MouseInput:J,PointerEventInput:it,TouchMouseInput:pt,SingleTouchInput:ot,Recognizer:Pt,AttrRecognizer:Ot,Tap:Yt,Pan:Rt,Swipe:Xt,Pinch:Mt,Rotate:Nt,Press:zt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:T,prefixed:x}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=Ft,\"function\"==typeof define&&define.amd?define((function(){return Ft})):void 0!==e&&e.exports?e.exports=Ft:t.Hammer=Ft}(window,document)},\n      function _(e,s,i,t,n){t();const r=e(42),a=e(43);class _ extends r.View{initialize(){super.initialize(),this.el=this._createElement()}remove(){(0,a.remove)(this.el),super.remove()}css_classes(){return[]}render(){}renderTo(e){e.appendChild(this.el),this.render(),this._has_finished=!0,this.notify_finished()}_createElement(){return(0,a.createElement)(this.constructor.tag_name,{class:this.css_classes()})}}i.DOMView=_,_.__name__=\"DOMView\",_.tag_name=\"div\"},\n      function _(o,t,b,r,e){r(),b.root=\"bk-root\",b.toolbar_hidden=\"bk-toolbar-hidden\",b.toolbar=\"bk-toolbar\",b.logo=\"bk-logo\",b.above=\"bk-above\",b.below=\"bk-below\",b.left=\"bk-left\",b.right=\"bk-right\",b.toolbar_button=\"bk-toolbar-button\",b.tool_overflow=\"bk-tool-overflow\",b.active=\"bk-active\",b.divider=\"bk-divider\",b.horizontal=\"bk-horizontal\",b.vertical=\"bk-vertical\",b.default='.bk-root .bk-toolbar-hidden{visibility:hidden;opacity:0;transition:visibility 0.3s linear, opacity 0.3s linear;}.bk-root .bk-toolbar{display:flex;flex-wrap:nowrap;align-items:center;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-toolbar .bk-logo{flex-shrink:0;}.bk-root .bk-toolbar.bk-above,.bk-root .bk-toolbar.bk-below{flex-direction:row;justify-content:flex-end;}.bk-root .bk-toolbar.bk-above .bk-logo,.bk-root .bk-toolbar.bk-below .bk-logo{order:1;margin-left:5px;margin-right:0px;}.bk-root .bk-toolbar.bk-left,.bk-root .bk-toolbar.bk-right{flex-direction:column;justify-content:flex-start;}.bk-root .bk-toolbar.bk-left .bk-logo,.bk-root .bk-toolbar.bk-right .bk-logo{order:0;margin-bottom:5px;margin-top:0px;}.bk-root .bk-toolbar-button{width:30px;height:30px;cursor:pointer;background-size:60% 60%;background-origin:border-box;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-toolbar-button:hover,.bk-root .bk-tool-overflow:hover{background-color:rgba(192, 192, 192, 0.15);}.bk-root .bk-toolbar-button:focus,.bk-root .bk-tool-overflow:focus,.bk-root .bk-toolbar-button:focus-visible,.bk-root .bk-tool-overflow:focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-toolbar-button::-moz-focus-inner,.bk-root .bk-tool-overflow::-moz-focus-inner{border:0;}.bk-root .bk-above .bk-toolbar-button{border-bottom:2px solid transparent;}.bk-root .bk-above .bk-toolbar-button.bk-active{border-bottom-color:#26aae1;}.bk-root .bk-below .bk-toolbar-button{border-top:2px solid transparent;}.bk-root .bk-below .bk-toolbar-button.bk-active{border-top-color:#26aae1;}.bk-root .bk-right .bk-toolbar-button{border-left:2px solid transparent;}.bk-root .bk-right .bk-toolbar-button.bk-active{border-left-color:#26aae1;}.bk-root .bk-left .bk-toolbar-button{border-right:2px solid transparent;}.bk-root .bk-left .bk-toolbar-button.bk-active{border-right-color:#26aae1;}.bk-root .bk-divider{content:\" \";display:inline-block;background-color:lightgray;}.bk-root .bk-above .bk-divider,.bk-root .bk-below .bk-divider{height:10px;width:1px;}.bk-root .bk-left .bk-divider,.bk-root .bk-right .bk-divider{height:1px;width:10px;}.bk-root .bk-tool-overflow{color:gray;display:flex;align-items:center;}.bk-root .bk-above .bk-tool-overflow,.bk-root .bk-below .bk-tool-overflow,.bk-root .bk-horizontal .bk-tool-overflow{width:15px;height:30px;flex-direction:row;}.bk-root .bk-left .bk-tool-overflow,.bk-root .bk-right .bk-tool-overflow,.bk-root .bk-vertical .bk-tool-overflow{width:30px;height:15px;flex-direction:column;}'},\n      function _(A,g,o,C,l){C(),o.root=\"bk-root\",o.tool_icon_copy_to_clipboard=\"bk-tool-icon-copy-to-clipboard\",o.tool_icon_replace_mode=\"bk-tool-icon-replace-mode\",o.tool_icon_append_mode=\"bk-tool-icon-append-mode\",o.tool_icon_intersect_mode=\"bk-tool-icon-intersect-mode\",o.tool_icon_subtract_mode=\"bk-tool-icon-subtract-mode\",o.tool_icon_clear_selection=\"bk-tool-icon-clear-selection\",o.tool_icon_box_select=\"bk-tool-icon-box-select\",o.tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",o.tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",o.tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",o.tool_icon_help=\"bk-tool-icon-help\",o.tool_icon_hover=\"bk-tool-icon-hover\",o.tool_icon_crosshair=\"bk-tool-icon-crosshair\",o.tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",o.tool_icon_pan=\"bk-tool-icon-pan\",o.tool_icon_xpan=\"bk-tool-icon-xpan\",o.tool_icon_ypan=\"bk-tool-icon-ypan\",o.tool_icon_range=\"bk-tool-icon-range\",o.tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",o.tool_icon_redo=\"bk-tool-icon-redo\",o.tool_icon_reset=\"bk-tool-icon-reset\",o.tool_icon_save=\"bk-tool-icon-save\",o.tool_icon_tap_select=\"bk-tool-icon-tap-select\",o.tool_icon_undo=\"bk-tool-icon-undo\",o.tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",o.tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",o.tool_icon_box_edit=\"bk-tool-icon-box-edit\",o.tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",o.tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",o.tool_icon_point_draw=\"bk-tool-icon-point-draw\",o.tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",o.tool_icon_line_edit=\"bk-tool-icon-line-edit\",o.default='.bk-root 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     function _(o,t,e,r,b){r(),e.root=\"bk-root\",e.menu_icon=\"bk-menu-icon\",e.context_menu=\"bk-context-menu\",e.horizontal=\"bk-horizontal\",e.vertical=\"bk-vertical\",e.divider=\"bk-divider\",e.active=\"bk-active\",e.menu=\"bk-menu\",e.above=\"bk-above\",e.below=\"bk-below\",e.caret=\"bk-caret\",e.down=\"bk-down\",e.up=\"bk-up\",e.left=\"bk-left\",e.right=\"bk-right\",e.default=\".bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n      function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n      function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n      function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n      function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e 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.bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n      function _(e,t,s,i,l){i();const o=e(1);var n;const a=e(40),h=e(20),r=e(43),c=(0,o.__importStar)(e(242)),d=c;class p extends a.AnnotationView{initialize(){super.initialize(),this.el=(0,r.div)({class:d.tooltip}),(0,r.undisplay)(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){(0,r.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),c.default]}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{content:e}=this.model;null!=e?((0,r.empty)(this.el),(0,r.classes)(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(e),this.model.show_arrow&&this.el.classList.add(d.tooltip_arrow)):(0,r.undisplay)(this.el)}_reposition(){const{position:e}=this.model;if(null==e)return void(0,r.undisplay)(this.el);const[t,s]=e,i=(()=>{const e=this.parent.layout.bbox.relative(),{attachment:i}=this.model;switch(i){case\"horizontal\":return t<e.hcenter?\"right\":\"left\";case\"vertical\":return s<e.vcenter?\"below\":\"above\";default:return i}})();let l;this.el.classList.remove(d.right),this.el.classList.remove(d.left),this.el.classList.remove(d.above),this.el.classList.remove(d.below),(0,r.display)(this.el);let o=null,n=null;switch(i){case\"right\":this.el.classList.add(d.left),o=t+(this.el.offsetWidth-this.el.clientWidth)+10,l=s-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(d.right),n=this.plot_view.layout.bbox.width-t+10,l=s-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(d.above),l=s+(this.el.offsetHeight-this.el.clientHeight)+10,o=Math.round(t-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(d.below),l=s-this.el.offsetHeight-10,o=Math.round(t-this.el.offsetWidth/2)}this.el.style.top=`${l}px`,this.el.style.left=null!=o?`${o}px`:\"auto\",this.el.style.right=null!=n?`${n}px`:\"auto\"}}s.TooltipView=p,p.__name__=\"TooltipView\";class u extends a.Annotation{constructor(e){super(e)}clear(){this.position=null}}s.Tooltip=u,n=u,u.__name__=\"Tooltip\",n.prototype.default_view=p,n.define((({Boolean:e})=>({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[e,!0],show_arrow:[e,!0]}))),n.internal((({Boolean:e,Number:t,Tuple:s,Ref:i,Nullable:l})=>({position:[l(s(t,t)),null],content:[i(HTMLElement),()=>(0,r.div)()],custom:[e]}))),n.override({level:\"overlay\"})},\n      function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n      function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.lower_head.render(e,s),e.restore();if(null!=this.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.upper_head.render(e,s),e.restore()}}s.WhiskerView=n,n.__name__=\"WhiskerView\";class d extends l.UpperLower{constructor(e){super(e)}}s.Whisker=d,a=d,d.__name__=\"Whisker\",a.prototype.default_view=n,a.mixins(o.LineVector),a.define((({Ref:e,Nullable:t})=>({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n      function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n      function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n      function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n      function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n      function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n      function _(e,t,i,s,a){var l,r=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 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_.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else _.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class x extends u.DOMView{constructor(){super(...arguments),this.bbox=new g.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,d.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,d.div)({style:m}),this.events_el=(0,d.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,b.extend)(this.el.style,m),(0,d.append)(this.el,...e),this.ui_event_bus=new v.UIEventBus(this)}async lazy_initialize(){if(await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await f(),c.settings.force_webgl&&null==this.webgl))throw new Error(\"webgl is not available\")}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new g.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,l,r,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(l+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*r,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(_.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new y.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=x,x.__name__=\"CanvasView\";class z extends h.HasProps{constructor(e){super(e)}}i.Canvas=z,l=z,z.__name__=\"Canvas\",l.prototype.default_view=x,l.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[p.OutputBackend,\"canvas\"]})))},\n      function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r,a;const _=t.model.toolbar.gestures,h=e.name.split(\":\")[0],o=this._hit_test_renderers(t,s.sx,s.sy),l=this._hit_test_canvas(t,s.sx,s.sy);switch(h){case\"move\":{const n=_.move.active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let a=\"default\";null!=o?(a=null!==(i=o.cursor(s.sx,s.sy))&&void 0!==i?i:a,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(a=\"crosshair\")),this.set_cursor(a),t.set_toolbar_visibility(l),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:i}=n;if(null!=i&&i!=this.hit_area)return;if(null===(r=null==o?void 0:o.on_hit)||void 0===r||r.call(o,s.sx,s.sy),this._hit_test_frame(t,s.sx,s.sy)){const t=_.tap.active;null!=t&&this.trigger(e,s,t.id)}break}case\"doubletap\":if(this._hit_test_frame(t,s.sx,s.sy)){const t=null!==(a=_.doubletap.active)&&void 0!==a?a:_.tap.active;null!=t&&this.trigger(e,s,t.id)}break;case\"scroll\":{const t=_[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=_.pan.active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=_[h].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n 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c{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends c{}s.UIEvent=d,d.__name__=\"UIEvent\";let m=class extends d{};s.LODStart=m,m.__name__=\"LODStart\",s.LODStart=m=a([o(\"lodstart\")],m);let h=class extends d{};s.LODEnd=h,h.__name__=\"LODEnd\",s.LODEnd=h=a([o(\"lodend\")],h);let p=class extends d{constructor(e,t,s,n){super(),this.x0=e,this.x1=t,this.y0=s,this.y1=n}_to_json(){const{x0:e,x1:t,y0:s,y1:n}=this;return Object.assign(Object.assign({},super._to_json()),{x0:e,x1:t,y0:s,y1:n})}};s.RangesUpdate=p,p.__name__=\"RangesUpdate\",s.RangesUpdate=p=a([o(\"rangesupdate\")],p);let x=class extends d{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,n),this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return 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y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n      function _(t,e,n,l,o){\n      /*!\n           * jQuery 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o.HasProps&&e.change.connect((()=>{this._result.clear(),this.change.emit()}))}get names(){return(0,l.keys)(this.args)}get values(){return(0,l.values)(this.args)}get func(){const e=(0,h.use_strict)(this.code);return new i.GeneratorFunction(...this.names,e)}_v_compute(e){const s=this.func.apply(e,this.values);let t=s.next();if(t.done&&void 0!==t.value){const{value:s}=t;return(0,g.isArray)(s)||(0,g.isTypedArray)(s)?s:(0,g.isIterable)(s)?[...s]:(0,u.repeat)(s,e.length)}{const e=[];do{e.push(t.value),t=s.next()}while(!t.done);return e}}}t.CustomJSExpr=p,a=p,p.__name__=\"CustomJSExpr\",a.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n      function _(t,n,e,o,r){var s;o();const a=t(254);class c extends a.Expression{constructor(t){super(t)}_v_compute(t){var n;const e=null!==(n=t.get_length())&&void 0!==n?n:0,o=new Float64Array(e);for(const n of this.fields){const r=t.data[n];if(null!=r){const t=Math.min(e,r.length);for(let n=0;n<t;n++)o[n]+=r[n]}}return o}}e.Stack=c,s=c,c.__name__=\"Stack\",s.define((({String:t,Array:n})=>({fields:[n(t),[]]})))},\n      function _(e,n,t,o,r){var i;o();const l=e(254);class u extends l.Expression{constructor(e){super(e)}_v_compute(e){var n;const t=new Float64Array(null!==(n=e.get_length())&&void 0!==n?n:0),o=e.data[this.field],r=this.include_zero?1:0;t[0]=this.include_zero?0:o[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+o[e-r];return t}}t.CumSum=u,i=u,u.__name__=\"CumSum\",i.define((({Boolean:e,String:n})=>({field:[n],include_zero:[e,!1]})))},\n      function _(i,n,l,t,e){var a;t();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var n,l;const t=null!==(n=i.data[this.field])&&void 0!==n?n:[];return Math.min(null!==(l=this.initial)&&void 0!==l?l:1/0,(0,r.min)(t))}}l.Minimum=s,a=s,s.__name__=\"Minimum\",a.define((({Number:i,String:n,Nullable:l})=>({field:[n],initial:[l(i),null]})))},\n      function _(i,a,n,l,t){var e;l();const u=i(254),r=i(9);class s extends u.ScalarExpression{constructor(i){super(i)}_compute(i){var a,n;const l=null!==(a=i.data[this.field])&&void 0!==a?a:[];return Math.max(null!==(n=this.initial)&&void 0!==n?n:-1/0,(0,r.max)(l))}}n.Maximum=s,e=s,s.__name__=\"Maximum\",e.define((({Number:i,String:a,Nullable:n})=>({field:[a],initial:[n(i),null]})))},\n      function _(n,e,t,o,r){var s;o();const _=n(254);class m extends _.Expression{constructor(n){super(n)}get x(){return new c({transform:this})}get y(){return new u({transform:this})}}t.CoordinateTransform=m,m.__name__=\"CoordinateTransform\";class a extends _.Expression{constructor(n){super(n)}}t.XYComponent=a,s=a,a.__name__=\"XYComponent\",s.define((({Ref:n})=>({transform:[n(m)]})));class c extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).x}}t.XComponent=c,c.__name__=\"XComponent\";class u extends a{constructor(n){super(n)}_v_compute(n){return this.transform.v_compute(n).y}}t.YComponent=u,u.__name__=\"YComponent\"},\n      function _(r,t,n,e,o){e();const i=r(1);var a;const s=r(260),c=r(20),l=(0,i.__importStar)(r(18));class d extends s.CoordinateTransform{constructor(r){super(r)}_v_compute(r){const t=this.properties.radius.uniform(r),n=this.properties.angle.uniform(r),e=\"anticlock\"==this.direction?-1:1,o=Math.min(t.length,n.length),i=new Float64Array(o),a=new Float64Array(o);for(let r=0;r<o;r++){const o=t.get(r),s=n.get(r)*e;i[r]=o*Math.cos(s),a[r]=o*Math.sin(s)}return{x:i,y:a}}}n.PolarTransform=d,a=d,d.__name__=\"PolarTransform\",a.define((({})=>({radius:[l.DistanceSpec,{field:\"radius\"}],angle:[l.AngleSpec,{field:\"angle\"}],direction:[c.Direction,\"anticlock\"]})))},\n      function _(e,t,l,r,i){r(),i(\"BooleanFilter\",e(263).BooleanFilter),i(\"CustomJSFilter\",e(264).CustomJSFilter),i(\"Filter\",e(191).Filter),i(\"GroupFilter\",e(265).GroupFilter),i(\"IndexFilter\",e(266).IndexFilter)},\n      function _(e,n,l,o,s){var t;o();const a=e(191),r=e(24);class c extends a.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{booleans:l}=this;return null==l?r.Indices.all_set(n):r.Indices.from_booleans(n,l)}}l.BooleanFilter=c,t=c,c.__name__=\"BooleanFilter\",t.define((({Boolean:e,Array:n,Nullable:l})=>({booleans:[l(n(e)),null]})))},\n      function _(e,n,r,s,t){var i;s();const o=e(191),c=e(24),u=e(13),a=e(8),l=e(34);class f extends o.Filter{constructor(e){super(e)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const e=(0,l.use_strict)(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const n=e.length,r=this.func(...this.values,e);if(null==r)return c.Indices.all_set(n);if((0,a.isArrayOf)(r,a.isInteger))return c.Indices.from_indices(n,r);if((0,a.isArrayOf)(r,a.isBoolean))return c.Indices.from_booleans(n,r);throw new Error(`expect an array of integers or booleans, or null, got ${r}`)}}r.CustomJSFilter=f,i=f,f.__name__=\"CustomJSFilter\",i.define((({Unknown:e,String:n,Dict:r})=>({args:[r(e),{}],code:[n,\"\"]})))},\n      function _(n,e,t,o,r){var u;o();const s=n(191),c=n(24),i=n(19);class l extends s.Filter{constructor(n){super(n)}compute_indices(n){const e=n.get_column(this.column_name);if(null==e)return i.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new c.Indices(n.length,1);{const t=new c.Indices(n.length);for(let n=0;n<t.size;n++)e[n]===this.group&&t.set(n);return t}}}t.GroupFilter=l,u=l,l.__name__=\"GroupFilter\",u.define((({String:n})=>({column_name:[n],group:[n]})))},\n      function _(e,n,i,s,t){var l;s();const c=e(191),r=e(24);class d extends c.Filter{constructor(e){super(e)}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?r.Indices.all_set(n):r.Indices.from_indices(n,i)}}i.IndexFilter=d,l=d,d.__name__=\"IndexFilter\",l.define((({Int:e,Array:n,Nullable:i})=>({indices:[i(n(e)),null]})))},\n      function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(268).AnnularWedge),t(\"Annulus\",e(269).Annulus),t(\"Arc\",e(270).Arc),t(\"Bezier\",e(271).Bezier),t(\"Circle\",e(272).Circle),t(\"Ellipse\",e(273).Ellipse),t(\"EllipseOval\",e(274).EllipseOval),t(\"Glyph\",e(179).Glyph),t(\"HArea\",e(187).HArea),t(\"HBar\",e(276).HBar),t(\"HexTile\",e(278).HexTile),t(\"Image\",e(279).Image),t(\"ImageRGBA\",e(281).ImageRGBA),t(\"ImageURL\",e(282).ImageURL),t(\"Line\",e(177).Line),t(\"MultiLine\",e(283).MultiLine),t(\"MultiPolygons\",e(284).MultiPolygons),t(\"Oval\",e(285).Oval),t(\"Patch\",e(186).Patch),t(\"Patches\",e(286).Patches),t(\"Quad\",e(287).Quad),t(\"Quadratic\",e(288).Quadratic),t(\"Ray\",e(289).Ray),t(\"Rect\",e(290).Rect),t(\"Scatter\",e(291).Scatter),t(\"Segment\",e(294).Segment),t(\"Spline\",e(295).Spline),t(\"Step\",e(297).Step),t(\"Text\",e(298).Text),t(\"VArea\",e(189).VArea),t(\"VBar\",e(299).VBar),t(\"Wedge\",e(300).Wedge)},\n      function _(e,s,t,i,r){i();const n=e(1);var a;const _=e(178),o=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),g=e(72),p=e(12);class x extends _.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,u.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,u.to_screen)(this.outer_radius),this.max_souter_radius=(0,p.max)(this.souter_radius)}_render(e,s,t){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:_,souter_radius:o}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],u=r[t],h=_[t],c=o[t],l=n.get(t),g=a.get(t);if(!isFinite(s+u+h+c+l+g))continue;const p=g-l;e.translate(s,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,p,d),e.rotate(p),e.lineTo(h,0),e.arc(0,0,h,0,-p,!d),e.closePath(),e.rotate(-p-l),e.translate(-s,-u),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t)}}_hit_point(e){const{sx:s,sy:t}=e,i=this.renderer.xscale.invert(s),r=this.renderer.yscale.invert(t),n=s-this.max_souter_radius,a=s+this.max_souter_radius,[_,o]=this.renderer.xscale.r_invert(n,a),d=t-this.max_souter_radius,u=t+this.max_souter_radius,[h,c]=this.renderer.yscale.r_invert(d,u),p=[];for(const e of this.index.indices({x0:_,x1:o,y0:h,y1:c})){const s=this.souter_radius[e]**2,t=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),d=(n-a)**2+(_-o)**2;d<=s&&d>=t&&p.push(e)}const x=\"anticlock\"==this.model.direction,m=[];for(const e of p){const i=Math.atan2(t-this.sy[e],s-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),x)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,o.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=(this.sinner_radius[e]+this.souter_radius[e])/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class m extends _.XYGlyph{constructor(e){super(e)}}t.AnnularWedge=m,a=m,m.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n      function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n      function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n      function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0<e&&e<1&&a.push(e);continue}const y=l*l-4*x*d,h=Math.sqrt(y);if(y<0)continue;const p=(-l+h)/(2*d);0<p&&p<1&&a.push(p);const f=(-l-h)/(2*d);0<f&&f<1&&a.push(f)}let d=a.length;const l=d;for(;d--;){const l=a[d],x=1-l,y=x*x*x*e+3*x*x*l*i+3*x*l*l*s+l*l*l*c;_[0][d]=y;const h=x*x*x*t+3*x*x*l*n+3*x*l*l*o+l*l*l*r;_[1][d]=h}return _[0][l]=e,_[1][l]=t,_[0][l+1]=c,_[1][l+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class y extends a.GlyphView{_project_data(){d.inplace.project_xy(this._x0,this._y0),d.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t,_x0:i,_y0:n,_x1:s,_y1:o,_cx0:c,_cy0:r,_cx1:a,_cy1:_}=this;for(let d=0;d<t;d++){const t=i[d],l=n[d],y=s[d],h=o[d],p=c[d],f=r[d],u=a[d],m=_[d];if(isFinite(t+y+l+h+p+f+u+m)){const[i,n,s,o]=x(t,l,y,h,p,f,u,m);e.add_rect(i,n,s,o)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:o,sy1:c,scx0:r,scy0:a,scx1:_,scy1:d}=null!=i?i:this;for(const i of t){const t=n[i],l=s[i],x=o[i],y=c[i],h=r[i],p=a[i],f=_[i],u=d[i];isFinite(t+l+x+y+h+p+f+u)&&(e.beginPath(),e.moveTo(t,l),e.bezierCurveTo(h,p,f,u,x,y),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,_.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.BezierView=y,y.__name__=\"BezierView\";class h extends a.Glyph{constructor(e){super(e)}}i.Bezier=h,c=h,h.__name__=\"Bezier\",c.prototype.default_view=y,c.define((({})=>({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n      function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),_=s(20),c=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null!=i&&i.regl_wrapper.has_webgl){const{CircleGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(423))));this.glglyph=new e(i.regl_wrapper,this)}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,_=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:n,x1:h,y0:d,y1:l}),c=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&c.push(s)}else for(const s of _){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&c.push(s)}return new m.Selection({indices:c})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];c.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new m.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=p,p.__name__=\"CircleView\";class y extends h.XYGlyph{constructor(s){super(s)}}e.Circle=y,n=y,y.__name__=\"Circle\",n.prototype.default_view=p,n.mixins([d.LineVector,d.FillVector,d.HatchVector]),n.define((({Number:s})=>({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[_.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n      function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n      function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n      function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n      function _(t,e,s,i,r){i();const h=t(1);var a;const n=t(277),_=t(24),o=(0,h.__importStar)(t(18));class l extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],r=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+r,i-r]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new _.ScreenArray(t),this.sbottom=new _.ScreenArray(t);for(let e=0;e<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=l,l.__name__=\"HBarView\";class c extends n.Box{constructor(t){super(t)}}s.HBar=c,a=c,c.__name__=\"HBar\",a.prototype.default_view=l,a.define((({})=>({left:[o.XCoordinateSpec,{value:0}],y:[o.YCoordinateSpec,{field:\"y\"}],height:[o.NumberSpec,{value:1}],right:[o.XCoordinateSpec,{field:\"right\"}]})))},\n      function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i<r;i++){const[r,n,a,h]=this._lrtb(i);t.add_rect(e(r,n),e(a,h),s(n,r),s(a,h))}}_render(t,e,s){const{sleft:r,sright:i,stop:n,sbottom:a}=null!=s?s:this;for(const s of e){const e=r[s],h=n[s],o=i[s],c=a[s];isFinite(e+h+o+c)&&(t.beginPath(),t.rect(e,h,o-e,c-h),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s))}}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let r=0;r<s;r++)this.stop[r]=Math.max(this.stop[r],e.start),this.sbottom[r]=Math.min(this.sbottom[r],e.end),this.sleft[r]=Math.max(this.sleft[r],t.start),this.sright[r]=Math.min(this.sright[r],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:s}=t,r=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),n=[...this.index.indices({x0:r,y0:i,x1:r,y1:i})];return new c.Selection({indices:n})}_hit_span(t){const{sx:e,sy:s}=t;let r;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(s),e=this.renderer.plot_view.frame.bbox.h_range,[i,n]=this.renderer.xscale.r_invert(e.start,e.end);r=[...this.index.indices({x0:i,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),s=this.renderer.plot_view.frame.bbox.v_range,[i,n]=this.renderer.yscale.r_invert(s.start,s.end);r=[...this.index.indices({x0:t,y0:i,x1:t,y1:n})]}return new c.Selection({indices:r})}draw_legend_for_index(t,e,s){(0,o.generic_area_vector_legend)(this.visuals,t,e,s)}}s.BoxView=_,_.__name__=\"BoxView\";class l extends h.Glyph{constructor(t){super(t)}}s.Box=l,n=l,l.__name__=\"Box\",n.mixins([a.LineVector,a.FillVector,a.HatchVector])},\n      function _(e,t,s,i,r){i();const n=e(1);var a;const l=e(179),o=(0,n.__importStar)(e(185)),c=(0,n.__importStar)(e(18)),h=e(48),_=e(20),d=e(78),p=e(184),x=e(72);class y extends l.GlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null!=t&&t.regl_wrapper.has_webgl){const{HexTileGL:s}=await Promise.resolve().then((()=>(0,n.__importStar)(e(425))));this.glglyph=new s(t.regl_wrapper,this)}}scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:l}=this,o=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e<n;e++){const n=i.get(e),c=r.get(e)/2;a[e]=t*o*(n+c)/s,l[e]=-3*t*c}else for(let e=0;e<n;e++){const n=i.get(e)/2,c=r.get(e);a[e]=3*t*n,l[e]=-t*o*(c+n)*s}}_project_data(){d.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];e.add_rect(i-s,n-t,i+s,n+t)}}map_data(){var e;[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,s){const{sx:i,sy:r,svx:n,svy:a,scale:l}=null!=s?s:this;for(const s of t){const t=i[s],o=r[s],c=l.get(s);if(isFinite(t+o+c)){e.translate(t,o),e.beginPath();for(let t=0;t<6;t++)e.lineTo(n[t]*c,a[t]*c);e.closePath(),e.translate(-t,-o),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),n=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of n)o.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new x.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new x.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[l,o]=this.renderer.yscale.r_invert(i,r),c=[...this.index.indices({x0:n,x1:a,y0:l,y1:o})];return new x.Selection({indices:c})}draw_legend_for_index(e,t,s){(0,p.generic_area_vector_legend)(this.visuals,e,t,s)}}s.HexTileView=y,y.__name__=\"HexTileView\";class u extends l.Glyph{constructor(e){super(e)}}s.HexTile=u,a=u,u.__name__=\"HexTile\",a.prototype.default_view=y,a.mixins([h.LineVector,h.FillVector,h.HatchVector]),a.define((({Number:e})=>({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n      function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n      function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this.image.get(t);let s;(0,o.is_NDArray)(i)?((0,c.assert)(2==i.dimension,\"expected a 2D array\"),s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=(0,g.concat)(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const[t,s,a,h]=this._lrtb(i);e.add_rect(t,h,s,a)}}_lrtb(e){const t=this.dw.get(e),i=this.dh.get(e),s=this.renderer.xscale.source_range,a=this._x[e],h=s.is_reversed?a-t:a+t,n=this.renderer.yscale.source_range,r=this._y[e],_=n.is_reversed?r-i:r+i,[d,l]=a<h?[a,h]:[h,a],[g,o]=r<_?[r,_]:[_,r];return[d,l,o,g]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this.image.length||(this.image_data=new Array(this.image.length)),null!=this._width&&this._width.length==this.image.length||(this._width=new Uint32Array(this.image.length)),null!=this._height&&this._height.length==this.image.length||(this._height=new Uint32Array(this.image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){\"data\"==this.model.properties.dw.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.dw,\"edge\",this.model.dilate):this.sw=(0,_.to_screen)(this.dw),\"data\"==this.model.properties.dh.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.dh,\"edge\",this.model.dilate):this.sh=(0,_.to_screen)(this.dh)}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),r=this._width[e],_=this._height[e],d=(a-s)/r,l=(h-n)/_;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=r-g-1),this.renderer.yscale.source_range.is_reversed&&(o=_-o-1),{index:e,dim1:g,dim2:o,flat_index:o*r+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),n=new l.Selection;for(const e of h)t!=1/0&&i!=1/0&&n.image_indices.push(this._image_index(e,s,a));return n}}i.ImageBaseView=m,m.__name__=\"ImageBaseView\";class u extends r.XYGlyph{constructor(e){super(e)}}i.ImageBase=u,n=u,u.__name__=\"ImageBase\",n.define((({Boolean:e})=>({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n      function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n      function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++)e.add_empty()}_set_data(){this._set_data_iteration++;const e=this.url.length;this.image=new Array(e);const{retry_attempts:t,retry_timeout:s}=this.model,{_set_data_iteration:r}=this;for(let a=0;a<e;a++){const e=this.url.get(a);e&&new d.ImageLoader(e,{loaded:e=>{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e<n;e++)[o[e],o[n+e]]=m(this._x[e],this.w.get(e));else o.set(this._x,0);if(i)for(let e=0;e<n;e++)[_[e],_[n+e]]=g(this._y[e],this.h.get(e));else _.set(this._y,0);const[u,p]=(0,l.minmax)(o),[f,b]=(0,l.minmax)(_);this._bounds_rect={x0:u,x1:p,y0:f,y1:b}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){\"data\"==this.model.properties.w.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.w,\"edge\",this.model.dilate):this.sw=(0,c.to_screen)(this.w),\"data\"==this.model.properties.h.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.h,\"edge\",this.model.dilate):this.sh=(0,c.to_screen)(this.h)}_render(e,t,s){const{image:r,sx:a,sy:i,sw:n,sh:o,angle:c,global_alpha:_}=null!=s?s:this,{frame:h}=this.renderer.plot_view;e.beginPath(),e.rect(h.bbox.left+1,h.bbox.top+1,h.bbox.width-2,h.bbox.height-2),e.clip();let l=!0;for(const s of t){if(!isFinite(a[s]+i[s]+c.get(s)+_.get(s)))continue;const t=r[s];null!=t?this._render_image(e,s,t,a,i,n,o,c,_):l=!1}l&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,a){switch(e){case\"top_left\":return[t,s];case\"top\":case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"right\":case\"center_right\":return[t-r,s-a/2];case\"bottom_right\":return[t-r,s-a];case\"bottom\":case\"bottom_center\":return[t-r/2,s-a];case\"bottom_left\":return[t,s-a];case\"left\":case\"center_left\":return[t,s-a/2];case\"center\":case\"center_center\":return[t-r/2,s-a/2]}}_render_image(e,t,s,r,a,i,n,o,c){isFinite(i[t])||(i[t]=s.width),isFinite(n[t])||(n[t]=s.height);const _=i[t],h=n[t],{anchor:l}=this.model,[d,m]=this._final_sx_sy(l,r[t],a[t],_,h),g=o.get(t),u=c.get(t);e.save(),e.globalAlpha=u;const p=_/2,f=h/2;g?(e.translate(d,m),e.translate(p,f),e.rotate(g),e.translate(-p,-f),e.drawImage(s,0,0,_,h),e.translate(p,f),e.rotate(-g),e.translate(-p,-f),e.translate(-d,-m)):e.drawImage(s,d,m,_,h),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=m,m.__name__=\"ImageURLView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.ImageURL=g,n=g,g.__name__=\"ImageURL\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t})=>({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n      function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,o,r,l]=(0,a.minmax2)(t,i);e.add_rect(n,r,o,l)}}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),o=n.get(s),r=Math.min(t.length,o.length);let l=!0;e.beginPath();for(let s=0;s<r;s++){const i=t[s],n=o[s];isFinite(i+n)?l?(e.moveTo(i,n),l=!1):e.lineTo(i,n):l=!0}this.visuals.line.set_vectorize(e,s),e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let s=9999;const i=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.line_width.get(e)/2),o=this.sxs.get(e),r=this.sys.get(e);let l=null;for(let e=0,i=o.length-1;e<i;e++){const i={x:o[e],y:r[e]},_={x:o[e+1],y:r[e+1]},h=c.dist_to_segment(t,i,_);h<n&&h<s&&(s=h,l=[e])}null!=l&&i.set(e,l)}return new g.Selection({indices:[...i.keys()],multiline_indices:(0,d.to_object)(i)})}_hit_span(e){const{sx:t,sy:s}=e;let i,n;\"v\"==e.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),s=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=i&&i<=t[e+1]&&s.push(e);s.length>0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n      function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i<n;i++){const n=this._xs[i],o=this._ys[i];if(0==n.length||0==o.length){t.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let t=0,i=n.length;t<i;t++){const i=n[t][0],c=o[t][0];if(0!=i.length&&0!=c.length){const[t,n]=(0,_.minmax)(i),[o,d]=(0,_.minmax)(c);r=e(r,t),l=s(l,n),h=e(h,o),a=s(a,d)}}t.add_rect(r,h,l,a)}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:t,max:e}=Math,{data_size:s}=this,n=new l.SpatialIndex(s);for(let i=0;i<s;i++){const s=this._xs[i],o=this._ys[i];if(0==s.length||0==o.length){n.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let n=0,i=s.length;n<i;n++){const i=s[n],c=o[n];if(i.length>1&&c.length>1)for(let s=1,n=i.length;s<n;s++){const[n,o]=(0,_.minmax)(i[s]),[d,x]=(0,_.minmax)(c[s]);r=t(r,n),l=e(l,o),h=t(h,d),a=e(a,x)}}n.add_rect(r,h,l,a)}return n.finish(),n}_mask_data(){const{x_range:t,y_range:e}=this.renderer.plot_view.frame;return this.index.indices({x0:t.min,x1:t.max,y0:e.min,y1:e.max})}_render(t,e,s){if(this.visuals.fill.doit||this.visuals.line.doit){const{sxs:n,sys:i}=null!=s?s:this;for(const s of e){t.beginPath();const e=n[s],o=i[s],r=Math.min(e.length,o.length);for(let s=0;s<r;s++){const n=e[s],i=o[s],r=Math.min(n.length,i.length);for(let e=0;e<r;e++){const s=n[e],o=i[e],r=Math.min(s.length,o.length);for(let e=0;e<r;e++){const n=s[e],i=o[e];0==e?t.moveTo(n,i):t.lineTo(n,i)}t.closePath()}}this.visuals.fill.apply(t,s,\"evenodd\"),this.visuals.hatch.apply(t,s,\"evenodd\"),this.visuals.line.apply(t,s)}}}_hit_rect(t){const{sx0:e,sx1:s,sy0:n,sy1:i}=t,o=[e,s,s,e],r=[n,n,i,i],[l,h]=this.renderer.xscale.r_invert(e,s),[a,_]=this.renderer.yscale.r_invert(n,i),c=this.index.indices({x0:l,x1:h,y0:a,y1:_}),d=[];for(const t of c){const e=this.sxs[t],s=this.sys[t];let n=!0;for(let t=0,i=e.length;t<i;t++){for(let i=0,l=e[t][0].length;i<l;i++){const l=e[t][0][i],h=s[t][0][i];if(!x.point_in_poly(l,h,o,r)){n=!1;break}}if(!n)break}n&&d.push(t)}return new f.Selection({indices:d})}_hit_point(t){const{sx:e,sy:s}=t,n=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),o=this.index.indices({x0:n,y0:i,x1:n,y1:i}),r=this._hole_index.indices({x0:n,y0:i,x1:n,y1:i}),l=[];for(const t of o){const n=this.sxs[t],i=this.sys[t];for(let o=0,h=n.length;o<h;o++){const h=n[o].length;if(x.point_in_poly(e,s,n[o][0],i[o][0]))if(1==h)l.push(t);else if(r.get(t)){if(h>1){let r=!1;for(let t=1;t<h;t++){const l=n[o][t],h=i[o][t];if(x.point_in_poly(e,s,l,h)){r=!0;break}}r||l.push(t)}}else l.push(t)}}return new f.Selection({indices:l})}_get_snap_coord(t){return(0,c.sum)(t)/t.length}scenterxy(t,e,s){if(1==this.sxs[t].length){return[this._get_snap_coord(this.sxs[t][0][0]),this._get_snap_coord(this.sys[t][0][0])]}{const n=this.sxs[t],i=this.sys[t];for(let t=0,o=n.length;t<o;t++)if(x.point_in_poly(e,s,n[t][0],i[t][0])){return[this._get_snap_coord(n[t][0]),this._get_snap_coord(i[t][0])]}}(0,g.unreachable)()}map_data(){const t=this._xs.length;this.sxs=new Array(t),this.sys=new Array(t);for(let e=0;e<t;e++){const t=this._xs[e].length;this.sxs[e]=new Array(t),this.sys[e]=new Array(t);for(let s=0;s<t;s++){const t=this._xs[e][s].length;this.sxs[e][s]=new Array(t),this.sys[e][s]=new Array(t);for(let n=0;n<t;n++){const[t,i]=this.renderer.coordinates.map_to_screen(this._xs[e][s][n],this._ys[e][s][n]);this.sxs[e][s][n]=t,this.sys[e][s][n]=i}}}}draw_legend_for_index(t,e,s){(0,a.generic_area_vector_legend)(this.visuals,t,e,s)}}s.MultiPolygonsView=p,p.__name__=\"MultiPolygonsView\";class m extends h.Glyph{constructor(t){super(t)}}s.MultiPolygons=m,r=m,m.__name__=\"MultiPolygons\",r.prototype.default_view=p,r.define((({})=>({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n      function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n      function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,r,a,o]=(0,_.minmax2)(t,i);e.add_rect(n,a,r,o)}}_mask_data(){const{x_range:e,y_range:t}=this.renderer.plot_view.frame;return this.index.indices({x0:e.min,x1:e.max,y0:t.min,y1:t.max})}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),r=n.get(s);let a=!0;e.beginPath();const o=Math.min(t.length,r.length);for(let s=0;s<o;s++){const i=t[s],n=r[s];isFinite(i+n)?a?(e.moveTo(i,n),a=!1):e.lineTo(i,n):(e.closePath(),a=!0)}e.closePath(),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],a=[i,i,n,n],[o,c]=this.renderer.xscale.r_invert(t,s),[_,h]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:c,y0:_,y1:h}),p=[];for(const e of d){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],o=s[e];if(!l.point_in_poly(n,o,r,a)){i=!1;break}}i&&p.push(e)}return new y.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),a=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let o=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(o,c),_=n.subarray(o,c);if(l.point_in_poly(t,s,r,_)){a.push(e);break}o=c+1}if(c==r)break}}return new y.Selection({indices:a})}_get_snap_coord(e){return(0,_.sum)(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let a=!1;for(let e=0,o=0;;o++){const c=isNaN(i[o]);if(a=a||c,o==r&&!a){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||o==r){const r=i.subarray(e,o),a=n.subarray(e,o);if(l.point_in_poly(t,s,r,a)){return[this._get_snap_coord(r),this._get_snap_coord(a)]}e=o+1}if(o==r)break}(0,p.unreachable)()}draw_legend_for_index(e,t,s){(0,c.generic_area_vector_legend)(this.visuals,e,t,s)}}s.PatchesView=f,f.__name__=\"PatchesView\";class g extends o.Glyph{constructor(e){super(e)}}s.Patches=g,a=g,g.__name__=\"Patches\",a.prototype.default_view=f,a.define((({})=>({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n      function _(t,e,i,o,r){o();const s=t(1);var a;const n=t(277),l=(0,s.__importStar)(t(18));class _ extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:i}=await Promise.resolve().then((()=>(0,s.__importStar)(t(427))));this.glglyph=new i(e.regl_wrapper,this)}}scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class p extends n.Box{constructor(t){super(t)}}i.Quad=p,a=p,p.__name__=\"Quad\",a.prototype.default_view=_,a.define((({})=>({right:[l.XCoordinateSpec,{field:\"right\"}],bottom:[l.YCoordinateSpec,{field:\"bottom\"}],left:[l.XCoordinateSpec,{field:\"left\"}],top:[l.YCoordinateSpec,{field:\"top\"}]})))},\n      function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a<r;a++){const r=t[a],_=i[a],d=n[a],l=s[a],y=c[a],p=o[a];if(isFinite(r+_+d+l+y+p)){const[t,i]=x(r,y,_),[n,s]=x(d,p,l);e.add_rect(t,n,i,s)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:c,sy1:o,scx:r,scy:a}=null!=i?i:this;for(const i of t){const t=n[i],_=s[i],d=c[i],l=o[i],x=r[i],y=a[i];isFinite(t+_+d+l+x+y)&&(e.beginPath(),e.moveTo(t,_),e.quadraticCurveTo(x,y,d,l),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,d.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.QuadraticView=y,y.__name__=\"QuadraticView\";class p extends _.Glyph{constructor(e){super(e)}}i.Quadratic=p,o=p,p.__name__=\"Quadratic\",o.prototype.default_view=y,o.define((({})=>({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n      function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e<t;e++)0==i[e]&&(i[e]=s)}_render(e,t,s){const{sx:i,sy:n,slength:l,angle:a}=null!=s?s:this;if(this.visuals.line.doit)for(const s of t){const t=i[s],r=n[s],o=a.get(s),h=l[s];isFinite(t+r+o+h)&&(e.translate(t,r),e.rotate(o),e.beginPath(),e.moveTo(0,0),e.lineTo(h,0),this.visuals.line.set_vectorize(e,s),e.stroke(),e.rotate(-o),e.translate(-t,-r))}}draw_legend_for_index(e,t,s){(0,o.generic_line_vector_legend)(this.visuals,e,t,s)}}s.RayView=g,g.__name__=\"RayView\";class d extends r.XYGlyph{constructor(e){super(e)}}s.Ray=d,a=d,d.__name__=\"Ray\",a.prototype.default_view=g,a.mixins(h.LineVector),a.define((({})=>({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n      function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(429))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sx0[e]=this.sx[e]-this.sw[e]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this.height,this.renderer.yscale);else{this.sh=(0,_.to_screen)(this.height);const t=this.sy.length;this.sy1=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sy1[e]=this.sy[e]-this.sh[e]/2}const t=this.sw.length;this.ssemi_diag=new _.ScreenArray(t);for(let e=0;e<t;e++)this.ssemi_diag[e]=Math.sqrt(this.sw[e]/2*this.sw[e]/2+this.sh[e]/2*this.sh[e]/2)}_render(t,e,s){const{sx:i,sy:r,sx0:n,sy1:h,sw:a,sh:l,angle:o}=null!=s?s:this;for(const s of e){const e=i[s],c=r[s],_=n[s],d=h[s],f=a[s],y=l[s],u=o.get(s);isFinite(e+c+_+d+f+y+u)&&(0!=f&&0!=y&&(t.beginPath(),u?(t.translate(e,c),t.rotate(u),t.rect(-f/2,-y/2,f,y),t.rotate(-u),t.translate(-e,-c)):t.rect(_,d,f,y),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s)))}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:e,sy:s}=t;const i=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(s),n=this.sx0.length,h=new _.ScreenArray(n);for(let t=0;t<n;t++)h[t]=this.sx0[t]+this.sw[t]/2;const a=new _.ScreenArray(n);for(let t=0;t<n;t++)a[t]=this.sy1[t]+this.sh[t]/2;const l=(0,d.max)(this._ddist(0,h,this.ssemi_diag)),o=(0,d.max)(this._ddist(1,a,this.ssemi_diag)),c=i-l,y=i+l,u=r-o,w=r+o;let g,p;const x=[];for(const t of this.index.indices({x0:c,x1:y,y0:u,y1:w})){const i=this.angle.get(t);if(i){const r=Math.sin(-i),n=Math.cos(-i),h=n*(e-this.sx[t])-r*(s-this.sy[t])+this.sx[t],a=r*(e-this.sx[t])+n*(s-this.sy[t])+this.sy[t];e=h,s=a,g=Math.abs(this.sx[t]-e)<=this.sw[t]/2,p=Math.abs(this.sy[t]-s)<=this.sh[t]/2}else{const i=e-this.sx0[t],r=s-this.sy1[t];g=0<=i&&i<=this.sw[t],p=0<=r&&r<=this.sh[t]}g&&p&&x.push(t)}return new f.Selection({indices:x})}_map_dist_corner_for_data_side_length(t,e,s){const i=t.length,r=new Float64Array(i),n=new Float64Array(i);for(let s=0;s<i;s++){const i=t[s],h=e.get(s)/2;r[s]=i-h,n[s]=i+h}const h=s.v_compute(r),a=s.v_compute(n),l=this.sdist(s,r,e,\"edge\",this.model.dilate);let o=h;for(let t=0;t<i;t++){const e=h[t],s=a[t];if(!isNaN(e+s)&&e!=s){o=e<s?h:a;break}}return[l,o]}_ddist(t,e,s){const i=(0,_.infer_type)(e,s),r=0==t?this.renderer.xscale:this.renderer.yscale,n=e,h=n.length,a=new i(h);for(let t=0;t<h;t++)a[t]=n[t]+s[t];const l=r.v_invert(n),o=r.v_invert(a),c=l.length,d=new i(c);for(let t=0;t<c;t++)d[t]=Math.abs(o[t]-l[t]);return d}draw_legend_for_index(t,e,s){(0,c.generic_area_vector_legend)(this.visuals,t,e,s)}}s.RectView=y,y.__name__=\"RectView\";class u extends o.CenterRotatable{constructor(t){super(t)}}s.Rect=u,n=u,u.__name__=\"Rect\",n.prototype.default_view=y,n.define((({Boolean:t})=>({dilate:[t,!1]})))},\n      function _(e,t,r,a,s){a();const i=e(1);var n;const l=e(292),_=e(293),c=(0,i.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null!=t&&t.regl_wrapper.has_webgl){const{MultiMarkerGL:r}=await Promise.resolve().then((()=>(0,i.__importStar)(e(428))));this.glglyph=new r(t.regl_wrapper,this)}}_render(e,t,r){const{sx:a,sy:s,size:i,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=a[r],c=s[r],o=i.get(r),g=n.get(r),w=l.get(r);if(!isFinite(t+c+o+g)||null==w)continue;const p=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[w](e,r,p,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=i+1,l=this.marker.get(i),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i)),{marker:new c.UniformScalar(l,n)});this._render(e,[i],_)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}r.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n      function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e<r;e++){const r=n[e];_.point_in_poly(this.sx[e],this.sy[e],t,s)&&i.push(r)}return new x.Selection({indices:i})}_get_legend_args({x0:e,x1:t,y0:s,y1:n},i){const r=i+1,a=new Array(r),c=new Array(r);a[i]=(e+t)/2,c[i]=(s+n)/2;const o=.4*Math.min(Math.abs(t-e),Math.abs(n-s));return{sx:a,sy:c,size:new h.UniformScalar(o,r),angle:new h.UniformScalar(0,r)}}draw_legend_for_index(e,{x0:t,x1:s,y0:n,y1:i},r){const a=this._get_legend_args({x0:t,x1:s,y0:n,y1:i},r);this._render(e,[r],a)}}s.MarkerView=d,d.__name__=\"MarkerView\";class y extends c.XYGlyph{constructor(e){super(e)}}s.Marker=y,a=y,y.__name__=\"Marker\",a.mixins([o.LineVector,o.FillVector,o.HatchVector]),a.define((({Number:e})=>({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n      function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function 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d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)<t&&a.push(e)}return new l.Selection({indices:a})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,o,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,o]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,o]=[this._x0,this._x1]);const h=[],[c,a]=this.renderer.xscale.r_invert(t.start,t.end),[d,x]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:c,y0:d,x1:a,y1:x});for(const t of y){(r[t]<=_&&_<=o[t]||o[t]<=_&&_<=r[t])&&h.push(t);const s=1.5+this.line_width.get(t)/2;r[t]==o[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&h.push(t):Math.abs(this.sy0[t]-n)<=s&&h.push(t))}return new l.Selection({indices:h})}scenterxy(e){return[this.sx0[e]/2+this.sx1[e]/2,this.sy0[e]/2+this.sy1[e]/2]}draw_legend_for_index(e,t,s){(0,x.generic_line_vector_legend)(this.visuals,e,t,s)}}s.SegmentView=y,y.__name__=\"SegmentView\";class p extends d.Glyph{constructor(e){super(e)}}s.Segment=p,o=p,p.__name__=\"Segment\",o.prototype.default_view=y,o.define((({})=>({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n      function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n      function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n<f;n++){const s=(i[n+1]-i[n-1])*o,c=(u[n+1]-u[n-1])*o,l=(i[n+2]-i[n])*o,r=(u[n+2]-u[n])*o;for(let o=0;o<=4*e;t++){const e=g[o++],f=g[o++],w=g[o++],a=g[o++];h[t]=e*i[n]+f*i[n+1]+w*s+a*l,_[t]=e*u[n]+f*u[n+1]+w*c+a*r}}return[h,_]}},\n      function 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n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],o=this._sys[t],_=n.length;for(let h=0,l=_;h<l;h++){const[l,a]=this._rotate_point(e,s,n[_-1][0],o[_-1][0],-this.angle.get(t));r.point_in_poly(l,a,n[h],o[h])&&i.push(t)}}return new u.Selection({indices:i})}scenterxy(t){const e=this._sxs[t],s=this._sys[t];(0,x.assert)(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],o=(e[0][2]+i)/2,_=(s[0][2]+n)/2,[h,l]=this._rotate_point(o,_,i,n,this.angle.get(t));return[h,l]}}s.TextView=f,f.__name__=\"TextView\";class p extends h.XYGlyph{constructor(t){super(t)}}s.Text=p,_=p,p.__name__=\"Text\",_.prototype.default_view=f,_.mixins(l.TextVector),_.define((({})=>({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n      function _(t,e,s,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class l extends a.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const e=this.width.get(t)/2,s=this._x[t],i=this._top[t],r=this._bottom[t];return[s-e,s+e,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let e=0;e<t;e++)this.sleft[e]=this.sx[e]-this.sw[e]/2,this.sright[e]=this.sx[e]+this.sw[e]/2;this._clamp_viewport()}}s.VBarView=l,l.__name__=\"VBarView\";class c extends a.Box{constructor(t){super(t)}}s.VBar=c,o=c,c.__name__=\"VBar\",o.prototype.default_view=l,o.define((({})=>({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n      function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),h=e(24),o=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72),x=e(12);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,h.to_screen)(this.radius),this.max_sradius=(0,x.max)(this.sradius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],l=n[t],h=r[t],o=a.get(t),_=c.get(t);isFinite(s+l+h+o+_)&&(e.beginPath(),e.arc(s,l,h,o,_,d),e.lineTo(s,l),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r;const{sx:a,sy:c}=e,d=this.renderer.xscale.invert(a),l=this.renderer.yscale.invert(c);t=a-this.max_sradius,i=a+this.max_sradius;const[h,o]=this.renderer.xscale.r_invert(t,i);n=c-this.max_sradius,r=c+this.max_sradius;const[_,x]=this.renderer.yscale.r_invert(n,r),p=[];for(const e of this.index.indices({x0:h,x1:o,y0:_,y1:x})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(d,this._x[e]),[n,r]=this.renderer.yscale.r_compute(l,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&p.push(e)}const y=\"anticlock\"==this.model.direction,m=[];for(const e of p){const s=Math.atan2(c-this.sy[e],a-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),y)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,d.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class y extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=y,a=y,y.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([l.LineVector,l.FillVector,l.HatchVector]),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n      function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n      function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e<t.data.start.length;e++)((0,_.contains)(n,t.data.start[e])||(0,_.contains)(n,t.data.end[e]))&&s.push(e);const o=new i.Selection;for(const e of s)o.multiline_indices[e]=[0];return o.indices=s,o}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,d,n);const o=t.edge_renderer.data_source.selected,r=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model);o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model),_=this.get_linked_edges(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!o.is_empty()}}d.NodesAndLinkedEdges=u,u.__name__=\"NodesAndLinkedEdges\";class m extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}get_linked_nodes(e,t,d){let n=[];\"selection\"==d?n=t.selected.indices:\"inspection\"==d&&(n=t.inspected.indices);const s=[];for(const e of n)s.push(t.data.start[e]),s.push(t.data.end[e]);const o=(0,_.uniq)(s).map((t=>(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n      function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t<e;t++){const a=this.graph_layout[l[t]],[e,r]=null!=a?a:[NaN,NaN];n[t]=e,o[t]=r}return[n,o]}get_edge_coordinates(t){var a,l;const e=null!==(a=t.data.start)&&void 0!==a?a:[],n=null!==(l=t.data.end)&&void 0!==l?l:[],o=Math.min(e.length,n.length),r=[],u=[],s=null!=t.data.xs&&null!=t.data.ys;for(let a=0;a<o;a++){const l=null!=this.graph_layout[e[a]]&&null!=this.graph_layout[n[a]];if(s&&l)r.push(t.data.xs[a]),u.push(t.data.ys[a]);else{let t,o;l?(t=this.graph_layout[e[a]],o=this.graph_layout[n[a]]):(t=[NaN,NaN],o=[NaN,NaN]),r.push([t[0],o[0]]),u.push([t[1],o[1]])}}return[r,u]}}l.StaticLayoutProvider=u,o=u,u.__name__=\"StaticLayoutProvider\",o.define((({Number:t,Tuple:a,Dict:l})=>({graph_layout:[l(a(t,t)),{}]})))},\n      function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n      function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;s<e.length-1;s++){if(s%2!=1)continue;const[t,r]=this.coordinates.map_to_screen(e[s],n[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],n[s+1]);i.beginPath(),i.rect(t[0],r[0],o[1]-t[0],d[1]-r[0]),this.visuals.band_fill.apply(i),this.visuals.band_hatch.apply(i)}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,n]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,n)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,n]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,n)}_draw_grid_helper(i,e,n,s){e.set_value(i),i.beginPath();for(let e=0;e<n.length;e++){const[t,r]=this.coordinates.map_to_screen(n[e],s[e]);i.moveTo(Math.round(t[0]),Math.round(r[0]));for(let e=1;e<t.length;e++)i.lineTo(Math.round(t[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:n}=this.coordinates;return[n[i],n[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,n=[i.min,i.max];let s,t;if((0,h.isArray)(e))s=Math.min(e[0],e[1]),t=Math.max(e[0],e[1]),s<n[0]&&(s=n[0]),t>n[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const t=[],r=[],o=2;for(let e=0;e<o;e++){const n=u+(m-u)/(o-1)*e;t.push(l[i]),r.push(n)}_[n].push(t),_[s].push(r)}return _}}n.GridView=c,c.__name__=\"GridView\";class u extends _.GuideRenderer{constructor(i){super(i)}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}n.Grid=u,o=u,u.__name__=\"Grid\",o.prototype.default_view=c,o.mixins([[\"grid_\",l.Line],[\"minor_grid_\",l.Line],[\"band_\",l.Fill],[\"band_\",l.Hatch]]),o.define((({Number:i,Auto:e,Enum:n,Ref:s,Tuple:t,Or:r,Nullable:o})=>({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n      function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n      function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n      function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n      function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n      function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n      function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n      function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n      function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n      function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n      function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n      function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');}'},\n      function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n      function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n      function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n      function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n      function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n      function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n      function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e<n.length;e++){const r=n[e];t[e]=this._compute(r)}return t}compute(e){return this.range instanceof i.FactorRange?this._compute(this.range.synthetic(e)):(0,h.isNumber)(e)?this._compute(e):void(0,l.unreachable)()}}t.RangeTransform=g,s=g,g.__name__=\"RangeTransform\",s.define((({Ref:e,Nullable:n})=>({range:[n(e(o.Range)),null]})))},\n      function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;r<t.length;r++){const n=t[r];e[r]=this.compute(n)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if((0,d.isString)(this.x)&&(0,d.isString)(this.y)&&null!=this.data){const t=this.data.columns();if(!(0,l.includes)(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!(0,l.includes)(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!(0,d.isArray)(this.x)||!(0,d.isArray)(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const n=e.length,s=new Uint32Array(n);for(let t=0;t<n;t++)s[t]=t;const o=t?-1:1;s.sort(((t,r)=>o*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t<n;t++)this._x_sorted[t]=e[s[t]],this._y_sorted[t]=r[s[t]];this._sorted_dirty=!1}}r.Interpolator=c,o=c,c.__name__=\"Interpolator\",o.define((({Boolean:t,Number:e,String:r,Ref:n,Array:s,Or:o,Nullable:i})=>({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n      function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n      function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>s<t)),_=this._x_sorted[s],r=this._x_sorted[s+1],e=this._y_sorted[s],o=this._y_sorted[s+1];return e+(t-_)/(r-_)*(o-e)}}_.LinearInterpolator=n,n.__name__=\"LinearInterpolator\"},\n      function _(t,e,s,r,o){var _;r();const i=t(325),n=t(20),d=t(9);class h extends i.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n      function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n      function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"weekly\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n      function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n      function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i<e.length;i++){const s=e[i];if(s instanceof h.Title){e[i]=\"above\"==v||\"below\"==v?[s,this._toolbar]:[this._toolbar,s],t=!1;break}}t&&e.push(this._toolbar)}const b=(e,t)=>{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout((()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n      function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n      function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}null!=this.compute_initial()&&(this.invalidate_dataranges=!1)}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&r<o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r<e&&(s=(o-e)/(o-r)),null!=a&&a>0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n      function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.index<this.history.length-1}}s.StateManager=a,a.__name__=\"StateManager\"},\n      function _(t,e,s,o,i){o();const a=t(19),n=t(15),p=t(43),l=t(78),_=t(22),h=t(332),m=new n.Signal0({},\"gmaps_ready\");class d extends h.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,!this.model.api_key){const t=\"https://developers.google.com/maps/documentation/javascript/get-api-key\";a.logger.error(`api_key is required. See ${t} for more information on how to obtain your own.`)}if(\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){const{api_key:t,api_version:e}=this.model;!function(t,e){window._bokeh_gmaps_callback=()=>m.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n      function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n      function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n      function _(e,r,i,n,t){var o;n();const s=e(176),d=e(175),a=e(303),p=e(302),l=e(113),_=e(178),h=e(283),y=e(286);class c extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,l.build_view)(r,{parent:e}),this.node_view=await(0,l.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y}}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof d.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,o=g,g.__name__=\"GraphRenderer\",o.prototype.default_view=c,o.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(d.GlyphRenderer)],edge_renderer:[e(d.GlyphRenderer)],selection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly],inspection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly]})))},\n      function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n      function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n      function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n      function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n      function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"Polygon\":{e.coordinates.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPoint\":i.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e<s.length;e++){const[r,n,a]=s[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=_(a)}break}default:throw new Error(`Invalid GeoJSON geometry type: ${e.type}`)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=u,s=u,u.__name__=\"GeoJSONDataSource\",s.define((({String:e})=>({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n      function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n      function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n      function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,n]=(0,l.meters_extent_to_geographic)(_);return[s,r,o,n]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(`Invalid Quadkey: ${t}`)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n      function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n      function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n      function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n      function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let o=t.get_level_by_extent(s,n,a),r=!1;o<e?(s=this.extent,o=e,r=!0):o>i&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n      function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n      function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n      function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n      function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n      function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n      function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n      function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n      function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n      function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n      function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n      function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n      function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n      function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n      function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n      function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n      function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n      function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n      function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||((0,c.isArray)(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const r of t){const t=this._map_drag(o,n,r),i=this._map_drag(e.sx,e.sy,r);if(null==i||null==t)continue;const[c,a]=i,[_,l]=t,[d,u]=[c-_,a-l],h=r.glyph,m=r.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(m.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())(0,i.includes)(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:r}=e;if(!o.bbox.contains(n,r))return[];const i={type:\"point\",sx:n,sy:r},c=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=this.plot_view.renderer_view(e);if(null!=n){s.select([n],i,!0,t)&&c.push(e),o.properties.selected.change.emit()}}return c}}s.EditToolView=d,d.__name__=\"EditToolView\";class u extends l.GestureTool{constructor(e){super(e)}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=u,r=u,u.__name__=\"EditTool\",r.define((({Unknown:e,String:t,Array:s,Ref:o,Nullable:n})=>({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n      function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n      function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n      function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n      function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],a=i.data_source,r=i.glyph,[o,n]=[r.xs.field,r.ys.field];if(o)for(const t of a.get_array(o))e.push(...t);if(n)for(const e of a.get_array(n))t.push(...e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,a]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(a){const e=t.data[a].length-1,s=t.get_array(a)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===o.Keys.Backspace?this._delete_selected(t):e.keyCode==o.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const a=this._map_drag(t,s,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==a)continue;const o=i.data_source,n=i.glyph,[d,_]=[n.xs.field,n.ys.field];if(!d&&!_)continue;const[h,l]=r,[c,g]=a,[f,p]=[h-c,l-g];for(const e of o.selected.indices){let t,s,i;d&&(s=o.data[d][e]),_?(i=o.data[_][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=f),i&&(i[e]+=p)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,(()=>this._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n      function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n      function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n      function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n      function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n      function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.trigger_ranges_update_event()}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.state.push(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=h,h.__name__=\"BoxZoomToolView\";const c=()=>new a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n      function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n      function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n      function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n      function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n      function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(n<t.start||n>t.end)&&(this.v_axis_only=!0),(e<s.start||e>s.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n      function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)<s}function c(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e<t.end?(t.start=e,i):(t.start=t.end,t.end=e,d(i))}function m(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=g(e.start,e.end,s);g(a,r,s)>=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n      function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n      function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n      function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.start<n&&n<s.end,r=(\"height\"==h||\"both\"==h)&&i.start<l&&l<i.end;if(!(a&&r||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,d=(0,_.scale_range)(t,m,a,r,{x:n,y:l});this.plot_view.state.push(\"wheel_zoom\",{range:d});const{maintain_focus:c}=this.model;this.plot_view.update_range(d,{scrolling:!0,maintain_focus:c}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n      function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n      function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n      function _(e,t,n,s,i){s();const o=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=e(186),y=e(187),f=e(189),x=(0,o.__importStar)(e(185)),v=e(152),w=e(43),g=e(22),b=e(13),k=e(234),C=e(8),S=e(113),T=e(20),$=e(228),R=e(15),A=e(66),M=(0,o.__importStar)(e(242)),V=e(392);function G(e,t,n,s,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=x.dist_2_pts(r,e),c=x.dist_2_pts(l,e)}return a<c?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function H(e,t,n){return[[e[n],t[n]],n]}n._nearest_line_hit=G,n._line_hit=H;class z extends l.InspectToolView{initialize(){super.initialize(),this._ttmodels=new Map,this._ttviews=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._update_ttmodels();const{tooltips:e}=this.model;e instanceof V.Template&&(this._template_view=await(0,S.build_view)(e,{parent:this}),this._template_view.render())}remove(){var e;null===(e=this._template_view)||void 0===e||e.remove(),(0,S.remove_views)(this._ttviews),super.remove()}connect_signals(){super.connect_signals();const e=this.plot_model.properties.renderers,{renderers:t,tooltips:n}=this.model.properties;this.on_change(n,(()=>delete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,C.isString)(n)||(0,C.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,S.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const i=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],o=this._slots.get(this._update);if(null!=o){const e=new Set(i.map((e=>e.data_source)));R.Signal.disconnect_receiver(this,o,e)}for(const e of i)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,A.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const i=this.ttmodels.get(e);if(null==i)return;const o=e.get_selection_manager(),r=o.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty()&&null==r.view)return void i.clear();const a=o.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,x=c.coordinates.x_scale,v=c.coordinates.y_scale,g=x.invert(d),k=v.invert(p),{glyph:C}=c,S=[];if(C instanceof m.PatchView){const[t,n]=[d,p],s={x:g,y:k,sx:d,sy:p,rx:t,ry:n,name:e.name};S.push([t,n,this._render_tooltips(a,-1,s)])}if(C instanceof y.HAreaView)for(const t of l.line_indices){const n=C._x1,s=C._x2,i=C._y,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x1:n,data_x2:s,data_y:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof f.VAreaView)for(const t of l.line_indices){const n=C._x,s=C._y1,i=C._y2,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x:n,data_y1:s,data_y2:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof h.LineView)for(const n of l.line_indices){let s,i,o=C._x[n+1],r=C._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[o,r]=C.get_interpolation_hit(n,t),s=x.compute(o),i=v.compute(r);break;case\"prev\":[[s,i],c]=H(C.sx,C.sy,n);break;case\"next\":[[s,i],c]=H(C.sx,C.sy,n+1);break;case\"nearest\":[[s,i],c]=G(n,t,d,p,C.sx,C.sy),o=C._x[c],r=C._y[c];break;default:[s,i]=[d,p]}const _={index:c,x:g,y:k,sx:d,sy:p,data_x:o,data_y:r,rx:s,ry:i,indices:l.line_indices,name:e.name};S.push([s,i,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:g,y:k,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);S.push([d,p,s])}for(const i of l.indices)if(C instanceof u.MultiLineView&&!(0,b.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[i.toString()]){let s,o,r,c=C._xs.get(i)[n],h=C._ys.get(i)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=C.get_interpolation_hit(i,n,t),s=x.compute(c),o=v.compute(h);break;case\"prev\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n);break;case\"next\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n+1);break;case\"nearest\":[[s,o],u]=G(n,t,d,p,C.sxs.get(i),C.sys.get(i)),c=C._xs.get(i)[u],h=C._ys.get(i)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const m={index:r,x:g,y:k,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};S.push([s,o,this._render_tooltips(a,r,m)])}else{const t=null===(n=C._x)||void 0===n?void 0:n[i],o=null===(s=C._y)||void 0===s?void 0:s[i];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=C.get_anchor_point(this.model.anchor,i,[d,p]);if(null==e&&(e=C.get_anchor_point(\"center\",i,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const u={index:h,x:g,y:k,sx:d,sy:p,data_x:t,data_y:o,indices:l.indices,name:e.name};S.push([r,c,this._render_tooltips(a,h,u)])}if(0==S.length)i.clear();else{const{content:e}=i;(0,w.empty)(i.content);for(const[,,t]of S)null!=t&&e.appendChild(t);const[t,n]=S[S.length-1];i.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:i,y_scale:o}=s.coordinates,r=i.invert(e.sx),l=o.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,w.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,w.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const i=(0,w.span)();i.dataset.value=\"\";const o=(0,w.span)({class:M.tooltip_color_block},\" \");o.dataset.swatch=\"\",(0,w.undisplay)(o);const r=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_value},i,o);e.appendChild(r)}return t}_render_template(e,t,n,s,i){const o=e.cloneNode(!0),r=o.querySelectorAll(\"[data-value]\"),l=o.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],o]of(0,k.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,i=n.get_column(e);if(null==i)r[o].textContent=`${e} unknown`;else{const e=(0,C.isNumber)(s)?i[s]:null;null!=e&&(l[o].style.backgroundColor=(0,g.color2css)(e),(0,w.display)(l[o]))}}if(null!=_){const[,e=\"\",t]=_,i=n.get_column(t);if(null==i){r[o].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,C.isNumber)(s)?i[s]:null;if(null==d){r[o].textContent=\"(null)\";continue}r[o].textContent=a?(0,g.color2hex)(d):(0,g.color2css)(d),c&&(l[o].style.backgroundColor=(0,g.color2css)(d),(0,w.display)(l[o]))}}else{const t=(0,v.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,i);if((0,C.isString)(t))r[o].textContent=t;else for(const e of t)r[o].appendChild(e)}}return o}_render_tooltips(e,t,n){var s;const{tooltips:i}=this.model;if((0,C.isString)(i)){const s=(0,v.replace_placeholders)({html:i},e,t,this.model.formatters,n);return(0,w.div)(s)}if((0,C.isFunction)(i))return i(e,n);if(i instanceof V.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=i){const o=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(i);return this._render_template(o,i,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class P extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=$.tool_icon_hover}}n.HoverTool=P,r=P,P.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:i,Dict:o,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(V.Template),n,s(i(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[o(r(l(a.CustomJSHover),v.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[T.HoverMode,\"mouse\"],muted_policy:[T.MutedPolicy,\"show\"],point_policy:[T.PointPolicy,\"snap_to_data\"],line_policy:[T.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[T.Anchor,\"center\"],attachment:[T.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new P))},\n      function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n      function _(l,n,u,_,e){var t;_();const o=l(53);class r extends 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     function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n      function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in 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of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends 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_.optional((function(){function r(e,r,n){t.assert(e,n+\" in \"+a,\"invalid \"+r+\", must be one of \"+Object.keys(v))}r(f.then,e,n),t.assert(f.else,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e),r(f.else,e+\".rgb\",n+\".rgb\"),r(f.else,e+\".alpha\",n+\".alpha\")})),f.then(i,\"=\",o,\"=\",a,\"[\",n,\"];\"),f.else(i,\"=\",a,\"[\",n,\".rgb];\",o,\"=\",a,\"[\",n,\".alpha];\"),r(f),[i,o]}));case Pt:return f((function(e){return _.command(me(e)&&4===e.length,\"blend.color must be a 4d array\",t.commandStr),V(4,(function(t){return+e[t]}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in ',r,\"?\",n,\"[\",r,\".cmp]\",\":\",Qr),t.def(r,\".ref|0\"),t.def('\"mask\" in ',r,\"?\",r,\".mask|0:-1\")]}));case nr:case ar:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.fail||\"keep\",a=r.zfail||\"keep\",i=r.zpass||\"keep\";return _.commandParameter(n,Kr,e+\".fail\",t.commandStr),_.commandParameter(a,Kr,e+\".zfail\",t.commandStr),_.commandParameter(i,Kr,e+\".zpass\",t.commandStr),[e===ar?Nr:Hr,Kr[n],Kr[a],Kr[i]]}),(function(t,r,n){var a=t.constants.stencilOps;function i(i){return _.optional((function(){t.assert(r,'!(\"'+i+'\" in '+n+\")||(\"+n+\".\"+i+\" in \"+a+\")\",\"invalid \"+e+\".\"+i+\", must be one of \"+Object.keys(Kr))})),r.def('\"',i,'\" in ',n,\"?\",a,\"[\",n,\".\",i,\"]:\",Qr)}return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[e===ar?Nr:Hr,i(\"fail\"),i(\"zfail\"),i(\"zpass\")]}));case $t:return f((function(e){_.commandType(e,\"object\",o,t.commandStr);var r=0|e.factor,n=0|e.units;return _.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid 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t=r.id(a[e]);_.optional((function(){l.shader(Jr[e],t,_.guessCommand())}));var n=an((function(){return t}));return n.id=t,n}if(e in i){var o=i[e];return on(o,(function(t,r){var n=t.invoke(r,o),a=r.def(t.shared.strings,\".id(\",n,\")\");return _.optional((function(){r(t.shared.shader,\".shader(\",Jr[e],\",\",a,\",\",t.command,\");\")})),a}))}return null}var f,u=o(lr),s=o(cr),c=null;return nn(u)&&nn(s)?(c=l.program(s.id,u.id,null,n),f=an((function(e,t){return e.link(c)}))):f=new rn(u&&u.thisDep||s&&s.thisDep,u&&u.contextDep||s&&s.contextDep,u&&u.propDep||s&&s.propDep,(function(e,t){var r,n=e.shared.shader;r=u?u.append(e,t):t.def(n,\".\",lr);var a=n+\".program(\"+(s?s.append(e,t):t.def(n,\".\",cr))+\",\"+r;return _.optional((function(){a+=\",\"+e.command})),t.def(a+\")\")})),{frag:u,vert:s,progVar:f,program:c}}(e,0,h);function O(e){var t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var 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   // Line-line intersection: point0 + lambda0 dir0 = point1 + lambda1 dir1.\\n    // Not checking if lines are parallel!\\n    float lambda0 = cross_z(point1 - point0, dir1) / cross_z(dir0, dir1);\\n    return point0 + lambda0*dir0;\\n}\\n\\nfloat sign_no_zero(in float x)\\n{\\n    return x >= 0.0 ? 1.0 : -1.0;\\n}\\n\\nvoid main()\\n{\\n    if (a_show_curr < 0.5) {\\n        // Line segment has non-finite value at one or both ends, do not render.\\n        gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n        return;\\n    }\\n\\n    const float min_miter_factor_round_join_mesh = sqrt(2.0);\\n\\n    int join_type = int(u_line_join + 0.5);\\n    int cap_type = int(u_line_cap + 0.5);\\n    float halfwidth = 0.5*(u_linewidth + u_antialias);\\n    vec2 segment_along = normalize(a_point_end - a_point_start); // unit vector.\\n    v_segment_length = length(a_point_end - a_point_start);\\n    vec2 segment_right = right_vector(segment_along);  // unit vector.\\n    vec2 xy;\\n\\n    bool miter_too_large_start = false;\\n    bool miter_too_large_end = false;\\n\\n    v_coords.y = a_position.y*halfwidth;  // Overwritten later for end points.\\n\\n    bool has_start_cap = a_show_prev < 0.5;\\n    bool has_end_cap = a_show_next < 0.5;\\n\\n    vec2 point_normal_start;\\n    float cos_theta_start;\\n    float turn_right_start;\\n    if (has_start_cap)\\n        point_normal_start = segment_right;\\n    else {\\n        vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n        point_normal_start = normalize(segment_right + prev_right);\\n        cos_theta_start = dot(segment_right, point_normal_start);  // Always +ve\\n        turn_right_start = sign_no_zero(dot(segment_right, a_point_prev - a_point_start));\\n    }\\n\\n    vec2 point_normal_end;\\n    float cos_theta_end;\\n    float turn_right_end;\\n    if (has_end_cap)\\n        point_normal_end = segment_right;\\n    else {\\n        vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n        point_normal_end = normalize(segment_right + next_right);\\n        cos_theta_end = dot(segment_right, point_normal_end);  // Always +ve\\n        turn_right_end = sign_no_zero(dot(segment_right, a_point_next - a_point_end));\\n    }\\n\\n    float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n    float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n    if (join_type == miter_join) {\\n        // If miter too large, use bevel join instead.\\n        miter_too_large_start = (miter_factor_start > u_miter_limit);\\n        miter_too_large_end = (miter_factor_end > u_miter_limit);\\n    }\\n\\n    float sign_at_start = -sign(a_position.x);  // +ve at segment start, -ve end.\\n    vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n    vec2 adjacent_point =\\n        sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n                            : (has_end_cap ? a_point_end : a_point_next);\\n\\n    if ( (has_start_cap && sign_at_start > 0.0) ||\\n         (has_end_cap && sign_at_start < 0.0) ) {\\n        // Cap.\\n        xy = point - segment_right*(halfwidth*a_position.y);\\n        if (cap_type == butt_cap)\\n            xy -= sign_at_start*0.5*u_antialias*segment_along;\\n        else\\n            xy -= sign_at_start*halfwidth*segment_along;\\n    }\\n    else { // Join.\\n        // +ve if turning to right, -ve if to left.\\n        float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n        vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n        vec2 point_right = normalize(segment_right + adjacent_right);\\n        float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n        bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n        if (abs(a_position.x) > 1.5) {\\n            // Outer point, meets prev/next segment.\\n            float factor;  // multiplied by halfwidth...\\n\\n            if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n                factor = 1.0 / miter_factor;  // cos_theta.\\n            else if (join_type == round_join &&\\n                     miter_factor > min_miter_factor_round_join_mesh)\\n                factor = 1.0;\\n            else  // miter, or round (small angle only).\\n                factor = miter_factor;\\n\\n            xy = point - point_right*(halfwidth*turn_sign*factor);\\n            v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n        }\\n        else if (turn_sign*a_position.y < 0.0) {\\n            // Inner point, meets prev/next segment.\\n            float len = halfwidth*miter_factor;\\n            float segment_len = v_segment_length;\\n            float adjacent_len = distance(point, adjacent_point);\\n\\n            if (len <= min(segment_len, adjacent_len))\\n                // Normal behaviour.\\n                xy = point - point_right*(len*a_position.y);\\n            else\\n                // For short wide line segments the inner point using the above\\n                // calculation can be outside of the line.  Here clipping it.\\n                xy = point + segment_right*(halfwidth*turn_sign);\\n        }\\n        else {\\n            // Point along outside edge.\\n            xy = point - segment_right*(halfwidth*a_position.y);\\n            if (join_type == round_join &&\\n                miter_factor > min_miter_factor_round_join_mesh) {\\n                xy = line_intersection(xy, segment_along,\\n                                       point - turn_sign*point_right*halfwidth,\\n                                       right_vector(point_right));\\n            }\\n        }\\n    }\\n\\n    vec2 pos = xy + 0.5;  // Bokeh's offset.\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n    v_coords.x = dot(xy - a_point_start, segment_along);\\n    v_flags = float(int(has_start_cap) +\\n                    2*int(has_end_cap) +\\n                    4*int(miter_too_large_start) +\\n                    8*int(miter_too_large_end));\\n    v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n    v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n    v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n      416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap   = 0;\\nconst int round_cap  = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n    return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n    // +ve if point to right of line.\\n    // Alternatively could do dot product with right_vector.\\n    return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n    return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n    return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n    float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n                                                  : v_cos_theta_turn_right_end;\\n    float cos_theta = abs(cos_theta_turn_right);\\n    float turn_right = sign(cos_theta_turn_right);\\n    float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n    // In v_coords reference frame (x is along segment, y across).\\n    vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n    float sin_alpha = cos_theta;\\n    float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n    vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n    return halfwidth + sign_start*point_line_distance(\\n        v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n    // x is distance along segment in direction away from end of segment,\\n    // y is distance across segment.\\n    if (cap_type == butt_cap)\\n        return max(0.5*u_linewidth - x, abs(y));\\n    else if (cap_type == square_cap)\\n        return max(-x, abs(y));\\n    else  // cap_type == round_cap\\n        return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n    return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n                            0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n    // x is in direction of v_coords.x, i.e. along segment.\\n    float tex_length = u_dash_tex_info.x;\\n    float tex_offset = u_dash_tex_info.y;\\n    float tex_dist_min = u_dash_tex_info.z;\\n    float tex_dist_max = u_dash_tex_info.w;\\n\\n    // Apply offset.\\n    x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n    // Interpolate within texture to obtain distance to dash.\\n    float dist = texture2D(u_dash_tex,\\n                           vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n    // Scale distance within min and max limits.\\n    dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n    return u_dash_scale*dist;\\n}\\n\\nfloat clip_dash_distance(in float x, in float offset, in float sign_along)\\n{\\n    // Return clipped dash distance, sign_along is +1.0 if looking forward\\n    // into next segment and -1.0 if looking backward into previous segment.\\n    float half_antialias = 0.5*u_antialias;\\n\\n    if (sign_along*x > half_antialias) {\\n        // Outside antialias region, use usual dash distance.\\n        return dash_distance(offset + x);\\n    }\\n    else {\\n        // Inside antialias region.\\n        // Dash distance at edge of antialias region clipped to half_antialias.\\n        float edge_dist = min(dash_distance(offset + sign_along*half_antialias), half_antialias);\\n\\n        // Physical distance from dash distance at edge of antialias region.\\n        return edge_dist + sign_along*x - half_antialias;\\n    }\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n    // Rotation matrix for v_coords from this segment to prev or next segment.\\n    float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n                                                  : v_cos_theta_turn_right_end;\\n    float cos_theta = abs(cos_theta_turn_right);\\n    float turn_right = sign(cos_theta_turn_right);\\n\\n    float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n    float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n    float sin_2theta = 2.0*sin_theta*cos_theta;\\n    return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n    int join_type = int(u_line_join + 0.5);\\n    int cap_type = int(u_line_cap + 0.5);\\n    float halfwidth = 0.5*(u_linewidth + u_antialias);\\n    float half_antialias = 0.5*u_antialias;\\n\\n    // Extract flags.\\n    int flags = int(v_flags + 0.5);\\n    bool miter_too_large_end = (flags / 8 > 0);\\n    flags -= 8*int(miter_too_large_end);\\n    bool miter_too_large_start = (flags / 4 > 0);\\n    flags -= 4*int(miter_too_large_start);\\n    bool has_end_cap = (flags / 2 > 0);\\n    flags -= 2*int(has_end_cap);\\n    bool has_start_cap = flags > 0;\\n\\n    float dist = v_coords.y;  // For straight segment, and miter join.\\n\\n    // Along-segment coords with respect to end of segment, +ve inside segment\\n    // so equivalent to v_coords.x at start of segment.\\n    float end_coords_x = v_segment_length - v_coords.x;\\n\\n    if (v_coords.x <= half_antialias) {\\n        // At start of segment, either cap or join.\\n        if (has_start_cap)\\n            dist = cap(cap_type, v_coords.x, v_coords.y);\\n        else if (join_type == round_join)\\n            dist = distance(v_coords, vec2(0.0, 0.0));\\n        else if (join_type == bevel_join ||\\n                 (join_type == miter_join && miter_too_large_start))\\n            dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n        // else a miter join which uses the default dist calculation.\\n    }\\n    else if (end_coords_x <= half_antialias) {\\n        // At end of segment, either cap or join.\\n        if (has_end_cap)\\n            dist = cap(cap_type, end_coords_x, v_coords.y);\\n        else if (join_type == round_join)\\n            dist = distance(v_coords, vec2(v_segment_length, 0));\\n        else if ((join_type == bevel_join ||\\n                 (join_type == miter_join && miter_too_large_end)))\\n            dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n        // else a miter join which uses the default dist calculation.\\n    }\\n\\n    float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n    if (u_dash_tex_info.x >= 0.0) {\\n        // Dashes in straight segments (outside of joins) are easily calculated.\\n        dist = dash_distance(v_coords.x);\\n\\n        if (!has_start_cap && cap_type == butt_cap) {\\n            if (v_coords.x < half_antialias) {\\n                // Outer of start join rendered solid color or not at all\\n                // depending on whether corner point is in dash or gap, with\\n                // antialiased ends.\\n                if (dash_distance(0.0) > 0.0) {\\n                    // Corner is solid color.\\n                    dist = max(dist, min(half_antialias, -v_coords.x));\\n                    // Avoid visible antialiasing band between corner and dash.\\n                    dist = max(dist, dash_distance(half_antialias));\\n                }\\n                else {\\n                    // Use large negative value so corner not colored.\\n                    dist = -halfwidth;\\n\\n                    if (v_coords.x > -half_antialias) {\\n                        // Consider antialias region of dash after start region.\\n                        float edge_dist = min(dash_distance(half_antialias), half_antialias);\\n                        dist = max(dist, edge_dist + v_coords.x - half_antialias);\\n                    }\\n                }\\n            }\\n\\n            vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n            if (abs(prev_coords.y) < halfwidth && prev_coords.x < half_antialias) {\\n                // Extend dashes across from end of previous segment, with antialiased end.\\n                float new_dist = clip_dash_distance(prev_coords.x, 0.0, -1.0);\\n                new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n                dist = max(dist, new_dist);\\n            }\\n        }\\n\\n        if (!has_end_cap && cap_type == butt_cap) {\\n            if (end_coords_x < half_antialias) {\\n                // Similar for end join.\\n                if (dash_distance(v_segment_length) > 0.0) {\\n                    // Corner is solid color.\\n                    dist = max(dist, min(half_antialias, -end_coords_x));\\n                    // Avoid visible antialiasing band between corner and dash.\\n                    dist = max(dist, dash_distance(v_segment_length - half_antialias));\\n                }\\n                else {\\n                    // Use large negative value so corner not colored.\\n                    dist = -halfwidth;\\n\\n                    if (end_coords_x > -half_antialias) {\\n                        // Consider antialias region of dash before end region.\\n                        float edge_dist = min(dash_distance(v_segment_length - half_antialias),\\n                                              half_antialias);\\n                        dist = max(dist, edge_dist + end_coords_x - half_antialias);\\n                    }\\n                }\\n            }\\n\\n            vec2 next_coords = rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n            if (abs(next_coords.y) < halfwidth && next_coords.x > -half_antialias) {\\n                // Extend dashes across from next segment, with antialiased end.\\n                float new_dist = clip_dash_distance(next_coords.x, v_segment_length, 1.0);\\n                new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n                dist = max(dist, new_dist);\\n            }\\n        }\\n\\n        dist = cap(cap_type, dist, v_coords.y);\\n\\n        float dash_alpha = distance_to_alpha(dist);\\n        alpha = min(alpha, dash_alpha);\\n    }\\n#endif\\n\\n    alpha = u_line_color.a*alpha;\\n    gl_FragColor = vec4(u_line_color.rgb*alpha, alpha);  // Premultiplied alpha.\\n}\\n\"},\n      417: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_cap;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\nuniform float u_size_hint;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n  if (a_show < 0.5) {\\n    // Do not show this rect.\\n    gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n    return;\\n  }\\n\\n  v_size = vec2(a_width, a_height);\\n  v_linewidth = a_linewidth;\\n  v_line_color = a_line_color;\\n  v_fill_color = a_fill_color;\\n  v_line_cap = a_line_cap;\\n  v_line_join = a_line_join;\\n\\n  if (v_linewidth < 1.0) {\\n    // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n    v_line_color.a *= v_linewidth;\\n    v_linewidth = 1.0;\\n  }\\n\\n#ifdef HATCH\\n  v_hatch_pattern = a_hatch_pattern;\\n  v_hatch_scale = a_hatch_scale;\\n  v_hatch_weight = a_hatch_weight;\\n  v_hatch_color = a_hatch_color;\\n#endif\\n\\n  vec2 enclosing_size;\\n  // Need extra size of (v_linewidth+u_antialias) if edge of marker parallel to\\n  // edge of bounding box.  If symmetric spike towards edge then multiply by\\n  // 1/cos(theta) where theta is angle between spike and bbox edges.\\n  int size_hint = int(u_size_hint + 0.5);\\n  if (size_hint == 1)  // Dash\\n    enclosing_size = vec2(v_size.x + v_linewidth + u_antialias,\\n                          v_linewidth + u_antialias);\\n  else if (size_hint == 2)  // Dot\\n    enclosing_size = 0.25*v_size + u_antialias;\\n  else if (size_hint == 3)  // Diamond\\n    enclosing_size = vec2(v_size.x*(2.0/3.0) + (v_linewidth + u_antialias)*1.20185,\\n                          v_size.y + (v_linewidth + u_antialias)*1.80278);\\n  else if (size_hint == 4)  // Hex\\n    enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(2.0/sqrt(3.0), 1.0);\\n  else if (size_hint == 5)  // Square pin\\n    enclosing_size = v_size + (v_linewidth + u_antialias)*3.1;\\n  else if (size_hint == 6)  // Triangle\\n    enclosing_size = vec2(v_size.x + (v_linewidth + u_antialias)*sqrt(3.0),\\n                          v_size.y*(2.0/sqrt(3.0)) + (v_linewidth + u_antialias)*2.0);\\n  else if (size_hint == 7)  // Triangle pin\\n    enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(4.8, 6.0);\\n  else if (size_hint == 8)  // Star\\n    enclosing_size = vec2(v_size.x*0.95106 + (v_linewidth + u_antialias)*3.0,\\n                          v_size.y + (v_linewidth + u_antialias)*3.2);\\n  else\\n    enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n  // Coordinates in rotated frame with respect to center of marker, used for\\n  // distance functions in fragment shader.\\n  v_coords = a_position*enclosing_size;\\n\\n  float c = cos(-a_angle);\\n  float s = sin(-a_angle);\\n  mat2 rotation = mat2(c, -s, s, c);\\n\\n  vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n  // Coordinates for hatching in unrotated frame of reference.\\n  v_hatch_coords = pos - 0.5;\\n#endif\\n  pos += 0.5; // Make up for Bokeh's offset.\\n  pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n  gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n      418: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float SQRT3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Lines within the marker (dot, cross, x and y) are added at the end as they are\\n// on top of the fill rather than astride it.\\n#if defined(USE_CIRCLE_DOT) || defined(USE_DIAMOND_DOT) || defined(USE_DOT) ||     defined(USE_HEX_DOT) || defined(USE_SQUARE_DOT) || defined(USE_STAR_DOT) ||     defined(USE_TRIANGLE_DOT)\\n  #define APPEND_DOT\\n#endif\\n\\n#if defined(USE_CIRCLE_CROSS) || defined(USE_SQUARE_CROSS)\\n  #define APPEND_CROSS\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n  #define APPEND_CROSS_2\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n  #define APPEND_X\\n  #define APPEND_X_LEN (0.5*v_size.x)\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n  #define APPEND_X\\n  #define APPEND_X_LEN (v_size.x/SQRT2)\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\n  #define APPEND_Y\\n#endif\\n\\n#if defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_DASH) ||     defined(USE_DOT) || defined(USE_X) || defined(USE_Y)\\n  // No fill.\\n  #define LINE_ONLY\\n#endif\\n\\n#if defined(LINE_ONLY) || defined(APPEND_CROSS) || defined(APPEND_CROSS_2) ||     defined(APPEND_X) || defined(APPEND_Y)\\nfloat end_cap_distance(in vec2 p, in vec2 end_point, in vec2 unit_direction, in int line_cap)\\n{\\n  vec2 offset = p - end_point;\\n  if (line_cap == butt_cap)\\n    return dot(offset, unit_direction) + 0.5*v_linewidth;\\n  else if (line_cap == square_cap)\\n    return dot(offset, unit_direction);\\n  else if (line_cap == round_cap && dot(offset, unit_direction) > 0.0)\\n    return length(offset);\\n  else\\n    // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n    // so here avoid the multiplication.\\n    return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if !(defined(LINE_ONLY) || defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN))\\n// For line join at a vec2 corner where 2 line segments meet, consider bevel points which are the 2\\n// points obtained by moving half a linewidth away from the corner point in the directions normal to\\n// the line segments.  The line through these points is the bevel line, characterised by a vec2\\n// unit_normal and offset distance from the corner point.  Edge of bevel join straddles this line,\\n// round join occurs outside of this line centred on the corner point.  In general\\n//   offset = (linewidth/2)*sin(alpha/2)\\n// where alpha is the angle between the 2 line segments at the corner.\\nfloat line_join_distance_no_miter(\\n  in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join)\\n{\\n  // Simplified version of line_join_distance ignoring miter which most markers do implicitly\\n  // as they are composed of straight line segments.\\n  float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n  if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n    return dist_outside + 0.5*v_linewidth;\\n  else if (dist_outside > 0.0)  // round_join\\n    return distance(p, corner);\\n  else\\n    // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n    // so here avoid the multiplication.\\n    return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN)\\n// Line join distance including miter but only one-sided check as assuming use of symmetry in\\n// calling function.\\nfloat line_join_distance_incl_miter(\\n  in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join,\\n  vec2 miter_unit_normal)\\n{\\n  float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n  if (line_join == miter_join && dist_outside > 0.0)\\n    return dot((p - corner), miter_unit_normal);\\n  else if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n    return dist_outside + 0.5*v_linewidth;\\n  else if (dist_outside > 0.0)  // round_join\\n    return distance(p, corner);\\n  else\\n    return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(APPEND_CROSS) || defined(APPEND_X) || defined(USE_ASTERISK) ||     defined(USE_CROSS) || defined(USE_X)\\nfloat one_cross(in vec2 p, in int line_cap, in float len)\\n{\\n  p = abs(p);\\n  p = (p.y > p.x) ? p.yx : p.xy;\\n  float dist = p.y;\\n  float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n  return max(dist, end_dist);\\n}\\n#endif\\n\\n#ifdef APPEND_CROSS_2\\nfloat one_cross_2(in vec2 p, in int line_cap, in vec2 lengths)\\n{\\n  // Cross with different length in x and y directions.\\n  p = abs(p);\\n  bool switch_xy = (p.y > p.x);\\n  p = switch_xy ? p.yx : p.xy;\\n  float len = switch_xy ? lengths.y : lengths.x;\\n  float dist = p.y;\\n  float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n  return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(APPEND_Y) || defined(USE_Y)\\nfloat one_y(in vec2 p, in int line_cap, in float len)\\n{\\n  p = vec2(abs(p.x), -p.y);\\n\\n  // End point of line to right is (1/2, 1/3)*len*SQRT3.\\n  // Unit vector along line is (1/2, 1/3)*k where k = 6/SQRT13.\\n  const float k = 6.0/sqrt(13.0);\\n  vec2 unit_along = vec2(0.5*k, k/3.0);\\n  vec2 end_point = vec2(0.5*len*SQRT3, len*SQRT3/3.0);\\n  float dist = max(abs(dot(p, vec2(-unit_along.y, unit_along.x))),\\n                   end_cap_distance(p, end_point, unit_along, line_cap));\\n\\n  if (p.y < 0.0) {\\n    // Vertical line.\\n    float vert_dist = max(p.x,\\n                          end_cap_distance(p, vec2(0.0, -len), vec2(0.0, -1.0), line_cap));\\n    dist = min(dist, vert_dist);\\n  }\\n  return dist;\\n}\\n#endif\\n\\n// One marker_distance function per marker type.\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\n\\n#ifdef USE_ASTERISK\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  vec2 p_diag = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n  float len = 0.5*v_size.x;\\n  return min(one_cross(p, line_cap, len),  // cross\\n             one_cross(p_diag, line_cap, len));  // x\\n}\\n#endif\\n\\n#if defined(USE_CIRCLE) || defined(USE_CIRCLE_CROSS) || defined(USE_CIRCLE_DOT) ||     defined(USE_CIRCLE_X) || defined(USE_CIRCLE_Y)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  return length(p) - 0.5*v_size.x;\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  p = abs(p);\\n  float dist = p.y;\\n  float end_dist = end_cap_distance(p, vec2(0.5*v_size.x, 0.0), vec2(1.0, 0.0), line_cap);\\n  return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(USE_DIAMOND) || defined(USE_DIAMOND_CROSS) || defined(USE_DIAMOND_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  // Only need to consider +ve quadrant, the 2 end points are (2r/3, 0) and (0, r)\\n  // where r = radius = v_size.x/2.\\n  // Line has outward-facing unit normal vec2(1, 2/3)/k where k = SQRT13/3\\n  // hence vec2(3, 2)/SQRT13, and distance from origin of 2r/(3k) = 2r/SQRT13.\\n  p = abs(p);\\n  float r = 0.5*v_size.x;\\n  const float SQRT13 = sqrt(13.0);\\n  float dist = dot(p, vec2(3.0, 2.0))/SQRT13 - 2.0*r/SQRT13;\\n\\n  if (line_join != miter_join) {\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(0.0, r), vec2(0.0, 1.0), v_linewidth/SQRT13, line_join));\\n\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(r*2.0/3.0, 0.0), vec2(1.0, 0.0), v_linewidth*(1.5/SQRT13), line_join));\\n  }\\n\\n  return dist;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Dot is always appended.\\n  return v_linewidth+u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_HEX) || defined(USE_HEX_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // A regular hexagon has v_size.x == v.size_y = r where r is the length of\\n  // each of the 3 sides of the 6 equilateral triangles that comprise the hex.\\n  // Only consider +ve quadrant, the 3 corners are at (0, h), (rx/2, h), (rx, 0)\\n  // where rx = 0.5*v_size.x, ry = 0.5*v_size.y and h = ry*SQRT3/2.\\n  // Sloping line has outward normal vec2(h, rx/2).  Length of this is\\n  // len = sqrt(h**2 + rx**2/4) to give unit normal (h, rx/2)/len and distance\\n  // from origin of this line is rx*h/len.\\n  p = abs(p);\\n  float rx = v_size.x/2.0;\\n  float h = v_size.y*(SQRT3/4.0);\\n  float len_normal = sqrt(h*h + 0.25*rx*rx);\\n  vec2 unit_normal = vec2(h, 0.5*rx) / len_normal;\\n  float dist = max(dot(p, unit_normal) - rx*h/len_normal,  // Distance from sloping line.\\n                   p.y - h);  // Distance from horizontal line.\\n\\n  if (line_join != miter_join) {\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(rx, 0.0), vec2(1.0, 0.0), 0.5*v_linewidth*unit_normal.x, line_join));\\n\\n    unit_normal = normalize(unit_normal + vec2(0.0, 1.0));  // At (rx/2, h) corner.\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(0.5*rx, h), unit_normal, 0.5*v_linewidth*unit_normal.y, line_join));\\n  }\\n  return dist;\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  // Only need to consider one octant, the +ve quadrant with x >= y.\\n  p = abs(p);\\n  p = (p.y > p.x) ? p.yx : p.xy;\\n\\n  // 3 corners are (r, 0), (r, 3r/8) and (3r/8, 3r/8).\\n  float r = 0.5*v_size.x;\\n  p = p - vec2(r, 0.375*r);  // Distance with respect to outside corner\\n  float dist = max(p.x, p.y);\\n\\n  if (line_join != miter_join) {\\n    // Outside corner\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n    // Inside corner\\n    dist = min(dist, -line_join_distance_no_miter(\\n      p, vec2(-5.0*r/8.0, 0.0), vec2(-1.0/SQRT2, -1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n  }\\n\\n  return dist;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE) || defined(USE_SQUARE_CROSS) || defined(USE_SQUARE_DOT) ||     defined(USE_SQUARE_X)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  vec2 p2 = abs(p) - v_size/2.0;  // Offset from corner\\n  float dist = max(p2.x, p2.y);\\n\\n  if (line_join != miter_join)\\n    dist = max(dist, line_join_distance_no_miter(\\n      p2, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n  return dist;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  p = abs(p);\\n  p = (p.y > p.x) ? p.yx : p.xy;\\n  // p is in octant between y=0 and y=x.\\n  // Quadratic bezier curve passes through (r, r), (11r/16, 0) and (r, -r).\\n  // Circular arc that passes through the same points has center at\\n  // x = r + 231r/160 = 2.44275r and y = 0 and hence radius is\\n  // x - 11r/16 = 1.75626 precisely.\\n  float r = 0.5*v_size.x;\\n  float center_x = r*2.44375;\\n  float radius = r*1.75626;\\n  float dist = radius - distance(p, vec2(center_x, 0.0));\\n\\n  // Magic number is 0.5*sin(atan(8/5) - pi/4)\\n  dist = max(dist, line_join_distance_incl_miter(\\n    p, vec2(r, r), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth*0.1124297533493792, line_join,\\n    vec2(8.0/sqrt(89.0), -5.0/sqrt(89.0))));\\n\\n  return dist;\\n}\\n#endif\\n\\n#if defined(USE_STAR) || defined(USE_STAR_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  const float SQRT5 = sqrt(5.0);\\n  const float COS72 = 0.25*(SQRT5 - 1.0);\\n  const float SIN72 = sqrt((5.0+SQRT5) / 8.0);\\n\\n  float angle = atan(p.x, p.y);  // In range -pi to +pi clockwise from +y direction.\\n  angle = mod(angle, 0.4*PI) - 0.2*PI;  // In range -pi/5 to +pi/5 clockwise from +y direction.\\n  p = length(p)*vec2(cos(angle), abs(sin(angle)));  // (x,y) in pi/10 (36 degree) sector.\\n\\n  // 2 corners are at (r, 0) and (r-a*SIN72, a*COS72) where a = r sqrt(5-2*sqrt(5)).\\n  // Line has outward-facing unit normal vec2(COS72, SIN72) and distance from\\n  // origin of dot(vec2(r, 0), vec2(COS72, SIN72)) = r*COS72\\n  float r = 0.5*v_size.x;\\n  float a = r*sqrt(5.0 - 2.0*SQRT5);\\n  float dist = dot(p, vec2(COS72, SIN72)) - r*COS72;\\n\\n  if (line_join != miter_join) {\\n    // Outside corner\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(r, 0.0), vec2(1.0, 0.0), v_linewidth*(0.5*COS72), line_join));\\n\\n    // Inside corner\\n    const float COS36 = sqrt(0.5 + COS72/2.0);\\n    const float SIN36 = sqrt(0.5 - COS72/2.0);\\n    dist = min(dist, -line_join_distance_no_miter(\\n      p, vec2(r-a*SIN72, a*COS72), vec2(-COS36, -SIN36), v_linewidth*(0.5*COS36), line_join));\\n  }\\n\\n  return dist;\\n}\\n#endif\\n\\n#if defined(USE_TRIANGLE) || defined(USE_TRIANGLE_DOT) || defined(USE_INVERTED_TRIANGLE)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  // For normal triangle 3 corners are at (-r, a), (r, a), (0, a-h)=(0, -2h/3)\\n  // given r = radius = v_size.x/2, h = SQRT3*r, a = h/3.\\n  // Sloping line has outward-facing unit normal vec2(h, -r)/2r = vec2(SQRT3, -1)/2\\n  // and distance from origin of a.  Horizontal line has outward-facing unit normal\\n  // vec2(0, 1) and distance from origin of a.\\n  float r = 0.5*v_size.x;\\n  float a = r*SQRT3/3.0;\\n\\n  // Only need to consider +ve x.\\n#ifdef USE_INVERTED_TRIANGLE\\n  p = vec2(abs(p.x), -p.y);\\n#else\\n  p = vec2(abs(p.x), p.y);\\n#endif\\n\\n  float dist = max(0.5*dot(p, vec2(SQRT3, -1.0)) - a,  // Distance from sloping line.\\n                   p.y - a);  // Distance from horizontal line.\\n\\n  if (line_join != miter_join) {\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(0.0, -(2.0/SQRT3)*r), vec2(0.0, -1.0), v_linewidth*0.25, line_join));\\n\\n    dist = max(dist, line_join_distance_no_miter(\\n      p, vec2(r, a), vec2(SQRT3/2.0, 0.5), v_linewidth*0.25, line_join));\\n  }\\n\\n  return dist;\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  float angle = atan(p.x, -p.y);  // In range -pi to +pi.\\n  angle = mod(angle, PI*2.0/3.0) - PI/3.0;  // In range -pi/3 to pi/3.\\n  p = length(p)*vec2(cos(angle), abs(sin(angle)));  // (x,y) in range 0 to pi/3.\\n  // Quadratic bezier curve passes through (a, r), ((a+b)/2, 0) and (a, -r) where\\n  // a = r/SQRT3, b = 3a/8 = r SQRT3/8.  Circular arc that passes through the same points has\\n  // center at (a+x, 0) and radius x+c where c = (a-b)/2 and x = (r**2 - c**2) / (2c).\\n  // Ignore r factor until the end so can use const.\\n  const float a = 1.0/SQRT3;\\n  const float b = SQRT3/8.0;\\n  const float c = (a-b)/2.0;\\n  const float x = (1.0 - c*c) / (2.0*c);\\n  const float center_x = x + a;\\n  const float radius = x + c;\\n  float r = 0.5*v_size.x;\\n  float dist = r*radius - distance(p, vec2(r*center_x, 0.0));\\n\\n  // Magic number is 0.5*sin(atan(8*sqrt(3)/5) - pi/3)\\n  dist = max(dist, line_join_distance_incl_miter(\\n    p, vec2(a*r, r), vec2(0.5, 0.5*SQRT3), v_linewidth*0.0881844526878324, line_join,\\n    vec2(8.0*SQRT3, -5.0)/sqrt(217.0)));\\n\\n  return dist;\\n}\\n#endif\\n\\n#ifdef USE_X\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  p = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n  return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n  // Assuming v_size.x == v.size_y\\n  return one_y(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(in float dist)\\n{\\n  return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(in float dist)\\n{\\n  return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(in float dist)\\n{\\n  return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(in vec4 color, in float fraction)\\n{\\n  color.a *= fraction;\\n  color.rgb *= color.a;\\n  return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(in vec4 src, in vec4 dest)\\n{\\n  return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef APPEND_DOT\\nfloat dot_fraction(in vec2 p)\\n{\\n  // Assuming v_size.x == v_size.y\\n  float radius = 0.125*v_size.x;\\n  float dot_distance = max(length(p) - radius, -0.5*u_antialias);\\n  return fill_fraction(dot_distance);\\n}\\n#endif\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(in float x)\\n{\\n  return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(in vec2 xy)\\n{\\n  return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(in vec2 coords, in int hatch_pattern)\\n{\\n  float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n  // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n  coords = coords / scale;\\n  float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n  // Default is to return fraction of zero, i.e. no pattern.\\n  float dist = u_antialias;\\n\\n  if (hatch_pattern == hatch_dot) {\\n    const float dot_radius = 0.25;\\n    dist = length(wrap(coords)) - dot_radius;\\n  }\\n  else if (hatch_pattern == hatch_ring) {\\n    const float ring_radius = 0.25;\\n    dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_line) {\\n    dist = abs(wrap(coords.y)) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_line) {\\n    dist = abs(wrap(coords.x)) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_cross) {\\n    dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_dash) {\\n    // Dashes have square caps.\\n    const float halflength = 0.25;\\n    dist = max(abs(wrap(coords.y)),\\n               abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_dash) {\\n    const float halflength = 0.25;\\n    dist = max(abs(wrap(coords.x)),\\n               abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_spiral) {\\n    vec2 wrap2 = wrap(coords);\\n    float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n    // Canvas spiral radius increases by scale*pi/15 each rotation.\\n    const float dr = PI/15.0;\\n    float radius = length(wrap2);\\n    // At any angle, spiral lines are equally spaced dr apart.\\n    // Find distance to nearest of these lines.\\n    float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n    dist = dr*(abs(frac - 0.5));\\n    dist = min(dist, radius) - halfwidth; // Consider center point also.\\n  }\\n  else if (hatch_pattern == hatch_right_diagonal_line) {\\n    dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_left_diagonal_line) {\\n    dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_diagonal_cross) {\\n    coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n    dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_right_diagonal_dash) {\\n    float across = coords.x + coords.y + 0.5;\\n    dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n    across = floor(across); // Offset for dash.\\n    float along = wrap(0.5*(coords.x - coords.y + across));\\n    const float halflength = 0.25;\\n    along = abs(along) - halflength; // Distance along line.\\n\\n    dist = max(dist, along) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_left_diagonal_dash) {\\n    float across = coords.x - coords.y + 0.5;\\n    dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n    across = floor(across); // Offset for dash.\\n    float along = wrap(0.5*(coords.x + coords.y + across));\\n    const float halflength = 0.25;\\n    along = abs(along) - halflength; // Distance along line.\\n\\n    dist = max(dist, along) - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_horizontal_wave) {\\n    float wrapx = wrap(coords.x);\\n    float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n    dist = abs(wrapy) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_vertical_wave) {\\n    float wrapy = wrap(coords.y);\\n    float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n    dist = abs(wrapx) / SQRT2 - halfwidth;\\n  }\\n  else if (hatch_pattern == hatch_criss_cross) {\\n    float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n    coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n    float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n    dist = min(plus, X) - halfwidth;\\n  }\\n\\n  return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n  int line_cap = int(v_line_cap + 0.5);\\n  int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n  int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n  float dist = marker_distance(v_coords, line_cap, line_join);\\n\\n#ifdef LINE_ONLY\\n  vec4 color = vec4(0.0, 0.0, 0.0, 0.0);\\n#else\\n  float fill_frac = fill_fraction(dist);\\n  vec4 color = fractional_color(v_fill_color, fill_frac);\\n#endif\\n\\n#if defined(HATCH) && !defined(LINE_ONLY)\\n  if (hatch_pattern > 0 && fill_frac > 0.0) {\\n    float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n    vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n    color = blend_colors(hatch_color, color);\\n  }\\n#endif\\n\\n  float line_frac = line_fraction(dist);\\n\\n#ifdef APPEND_DOT\\n  line_frac = max(line_frac, dot_fraction(v_coords));\\n#endif\\n#ifdef APPEND_CROSS\\n  line_frac = max(line_frac, line_fraction(one_cross(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n#ifdef APPEND_CROSS_2\\n  vec2 lengths = vec2(v_size.x/3.0, v_size.x/2.0);\\n  line_frac = max(line_frac, line_fraction(one_cross_2(v_coords, line_cap, lengths)));\\n#endif\\n#ifdef APPEND_X\\n  vec2 p = vec2((v_coords.x + v_coords.y)/SQRT2, (v_coords.x - v_coords.y)/SQRT2);\\n  line_frac = max(line_frac, line_fraction(one_cross(p, line_cap, APPEND_X_LEN)));\\n#endif\\n#ifdef APPEND_Y\\n  line_frac = max(line_frac, line_fraction(one_y(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n\\n  if (line_frac > 0.0) {\\n    vec4 line_color = fractional_color(v_line_color, line_frac);\\n    color = blend_colors(line_color, color);\\n  }\\n\\n  gl_FragColor = color;\\n}\\n\"},\n      419: function _(t,_,i,h,e){h();const s=t(420),a=t(421),r=t(422);class l extends s.BaseGLGlyph{constructor(t,_){super(t,_),this.glyph=_,this._antialias=1.5,this._show_all=!1}_draw_one_marker_type(t,_,i){const h={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[_.width,_.height],pixel_ratio:_.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,size_hint:(0,r.marker_type_to_size_hint)(t),nmarkers:i.nvertices,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_cap:this._line_caps,line_join:this._line_joins,show:this._show};if(this._have_hatch){const _=Object.assign(Object.assign({},h),{hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba});this.regl_wrapper.marker_hatch(t)(_)}else this.regl_wrapper.marker_no_hatch(t)(h)}_set_visuals(){const t=this._get_visuals(),_=t.fill,i=t.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_caps=new a.Uint8Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(i.line_width),this._line_caps.set_from_line_cap(i.line_cap),this._line_joins.set_from_line_join(i.line_join),this._line_rgba.set_from_color(i.line_color,i.line_alpha),this._fill_rgba.set_from_color(_.fill_color,_.fill_alpha),this._have_hatch=t.hatch.doit,this._have_hatch){const _=t.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(_.hatch_pattern),this._hatch_scales.set_from_prop(_.hatch_scale),this._hatch_weights.set_from_prop(_.hatch_weight),this._hatch_rgba.set_from_color(_.hatch_color,_.hatch_alpha)}}}i.BaseMarkerGL=l,l.__name__=\"BaseMarkerGL\",l.missing_point=-1e4},\n      420: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n      421: function _(r,t,a,e,s){e();const i=r(422),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e<t;e++)a[e]=r[e];this.update()}set_from_prop(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=r.get(t);this.update(r.is_Scalar())}set_from_scalar(r,t=4){this.get_sized_array(t).fill(r),this.update(!0)}to_attribute_config(r=0){return{buffer:this.buffer,divisor:this.is_scalar?0:1,normalized:this.is_normalized(),offset:r}}update(r=!1){null==this.buffer?this.buffer=this.regl_wrapper.buffer({usage:\"dynamic\",data:this.array}):this.buffer({data:this.array}),this.is_scalar=r}}n.__name__=\"WrappedBuffer\";class l extends n{new_array(r){return new Float32Array(r)}}a.Float32Buffer=l,l.__name__=\"Float32Buffer\";class o extends n{new_array(r){return new Uint8Array(r)}set_from_color(r,t,a=4){const e=r.is_Scalar()&&t.is_Scalar(),s=e?a:r.length,i=this.get_sized_array(4*s);for(let a=0;a<s;a++){const[e,s,n,l]=(0,_.color2rgba)(r.get(a),t.get(a));i[4*a]=e,i[4*a+1]=s,i[4*a+2]=n,i[4*a+3]=l}this.update(e)}set_from_hatch_pattern(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=(0,i.hatch_pattern_to_index)(r.get(t));this.update(r.is_Scalar())}set_from_line_cap(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.cap_lookup[r.get(t)];this.update(r.is_Scalar())}set_from_line_join(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.join_lookup[r.get(t)];this.update(r.is_Scalar())}}a.Uint8Buffer=o,o.__name__=\"Uint8Buffer\";class h extends o{is_normalized(){return!0}}a.NormalizedUint8Buffer=h,h.__name__=\"NormalizedUint8Buffer\"},\n      422: function _(a,e,r,n,t){n();const i=a(52);r.cap_lookup={butt:0,round:1,square:2},r.join_lookup={miter:0,round:1,bevel:2};const o={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};r.hatch_pattern_to_index=function(a){var e,r;return null!==(r=o[null!==(e=i.hatch_aliases[a])&&void 0!==e?e:a])&&void 0!==r?r:0},r.marker_type_to_size_hint=function(a){switch(a){case\"dash\":return 1;case\"dot\":return 2;case\"diamond\":case\"diamond_cross\":case\"diamond_dot\":return 3;case\"hex\":return 4;case\"square_pin\":return 5;case\"inverted_triangle\":case\"triangle\":case\"triangle_dot\":return 6;case\"triangle_pin\":return 7;case\"star\":case\"star_dot\":return 8;default:return 0}}},\n      423: function _(s,t,i,e,r){e();const h=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"circle\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new h.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s),i=this._widths.get_sized_array(s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point),i[e]=2*this.glyph.sradius[e];this._centers.update(),this._widths.update(),this._angles.set_from_prop(this.glyph.angle)}}i.CircleGL=l,l.__name__=\"CircleGL\"},\n      424: function _(s,t,e,_,h){_();const a=s(419),i=s(421);class l extends a.BaseMarkerGL{constructor(s,t){super(s,t),this.glyph=t}_draw_impl(s,t,e,_){e.data_changed&&(e._set_data(),e.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const h=e.nvertices;null==this._show&&(this._show=new i.Uint8Buffer(this.regl_wrapper));const a=this._show.length,l=this._show.get_sized_array(h);if(s.length<h){this._show_all=!1;for(let s=0;s<h;s++)l[s]=0;for(let t=0;t<s.length;t++)l[s[t]]=255}else if(!this._show_all||a!=h){this._show_all=!0;for(let s=0;s<h;s++)l[s]=255}this._show.update(),this._draw_one_marker_type(_,t,e)}}e.SingleMarkerGL=l,l.__name__=\"SingleMarkerGL\"},\n      425: function _(s,t,e,i,h){i();const r=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){this._draw_impl(s,e,t.glglyph,\"hex\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=new r.Float32Buffer(this.regl_wrapper),this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point);this._centers.update(),\"pointytop\"==this.glyph.model.orientation?(this._angles.set_from_scalar(.5*Math.PI),this._widths.set_from_scalar(2*this.glyph.svy[0]),this._heights.set_from_scalar(4*this.glyph.svx[4]/Math.sqrt(3))):(this._angles.set_from_scalar(0),this._widths.set_from_scalar(2*this.glyph.svx[0]),this._heights.set_from_scalar(4*this.glyph.svy[4]/Math.sqrt(3)))}}e.HexTileGL=l,l.__name__=\"HexTileGL\"},\n      426: function _(s,i,t,h,e){h();const _=s(420),l=s(22),a=s(46),n=s(422),o=s(421);class r extends _.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const h=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),h.data_changed&&(h._set_data(),h.data_changed=!1);const e=this.glyph.visuals.line,_=n.cap_lookup[e.line_cap.value],l=n.join_lookup[e.line_join.value],a=h._points,o={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:a,show:h._show,nsegments:a.length/2-3,line_join:l,line_cap:_};if(this._is_dashed()){const s=Object.assign(Object.assign({},o),{length_so_far:this._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset});this.regl_wrapper.dashed_line()(s)}else this.regl_wrapper.solid_line()(o)}_is_dashed(){return this._line_dash.length>0}_set_data(){const s=this.glyph.sx.length,i=s-1;this._is_closed=s>2&&this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const t=this._points.get_sized_array(2*(s+2));for(let i=1;i<s+1;i++)t[2*i]=this.glyph.sx[i-1],t[2*i+1]=this.glyph.sy[i-1];this._is_closed?(t[0]=t[2*s-2],t[1]=t[2*s-1],t[2*s+2]=t[4],t[2*s+3]=t[5]):(t[0]=0,t[1]=0,t[2*s+2]=0,t[2*s+3]=0),this._points.update(),null==this._show&&(this._show=new o.Uint8Buffer(this.regl_wrapper));const h=this._show.get_sized_array(s+1);let e=isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]);for(let i=1;i<s;i++){const s=isFinite(this.glyph.sx[i])&&isFinite(this.glyph.sy[i]);h[i]=e&&s?1:0,e=s}if(this._is_closed?(h[0]=h[s-1],h[s]=h[1]):(h[0]=0,h[s]=0),this._show.update(),this._is_dashed()){null==this._length_so_far&&(this._length_so_far=new o.Float32Buffer(this.regl_wrapper));const s=this._length_so_far.get_sized_array(i);let e=0;for(let _=0;_<i;_++)s[_]=e,1==h[_+1]&&(e+=Math.sqrt((t[2*_+4]-t[2*_+2])**2+(t[2*_+5]-t[2*_+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=r,r.__name__=\"LineGL\"},\n      427: function _(s,t,i,e,r){e();const h=s(421),a=s(424);class n extends a.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper),this._angles.set_from_scalar(0));const t=this._centers.get_sized_array(2*s),i=this._heights.get_sized_array(s),e=this._widths.get_sized_array(s);for(let r=0;r<s;r++){const s=this.glyph.sleft[r],h=this.glyph.sright[r],n=this.glyph.stop[r],_=this.glyph.sbottom[r];isFinite(s)&&isFinite(h)&&isFinite(n)&&isFinite(_)?(t[2*r]=(s+h)/2,t[2*r+1]=(n+_)/2,i[r]=Math.abs(n-_),e[r]=Math.abs(h-s)):(t[2*r]=a.SingleMarkerGL.missing_point,t[2*r+1]=a.SingleMarkerGL.missing_point,i[r]=a.SingleMarkerGL.missing_point,e[r]=a.SingleMarkerGL.missing_point)}this._centers.update(),this._heights.update(),this._widths.update()}}i.LRTBGL=n,n.__name__=\"LRTBGL\"},\n      428: function _(s,t,e,i,_){i();const h=s(419),r=s(421);class a extends h.BaseMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){const i=t.glglyph;i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const _=i.nvertices;null==this._show&&(this._show=new r.Uint8Buffer(this.regl_wrapper));const h=i._unique_marker_types.length;for(const t of i._unique_marker_types){if(null==t)continue;let r=_;const a=this._show.length,n=this._show.get_sized_array(_);if(h>1||s.length<_){this._show_all=!1,n.fill(0),r=0;for(const e of s)1!=h&&i._marker_types.get(e)!=t||(n[e]=255,r++)}else this._show_all&&a==_||(this._show_all=!0,n.fill(255));this._show.update(),0!=r&&this._draw_one_marker_type(t,e,i)}}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=h.BaseMarkerGL.missing_point,t[2*e+1]=h.BaseMarkerGL.missing_point);this._centers.update(),this._widths.set_from_prop(this.glyph.size),this._angles.set_from_prop(this.glyph.angle),this._marker_types=this.glyph.marker,this._unique_marker_types=[...new Set(this._marker_types)]}}e.MultiMarkerGL=a,a.__name__=\"MultiMarkerGL\"},\n      429: function _(s,t,e,i,r){i();const h=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){this._draw_impl(s,e,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point);this._centers.update(),this._widths.set_from_array(this.glyph.sw),this._heights.set_from_array(this.glyph.sh),this._angles.set_from_prop(this.glyph.angle)}}e.RectGL=l,l.__name__=\"RectGL\"},\n      }, 409, {\"models/glyphs/webgl/main\":409,\"models/glyphs/webgl/index\":410,\"models/glyphs/webgl/regl_wrap\":411,\"models/glyphs/webgl/dash_cache\":413,\"models/glyphs/webgl/utils/math\":414,\"models/glyphs/webgl/regl_line.vert\":415,\"models/glyphs/webgl/regl_line.frag\":416,\"models/glyphs/webgl/marker.vert\":417,\"models/glyphs/webgl/marker.frag\":418,\"models/glyphs/webgl/base_marker\":419,\"models/glyphs/webgl/base\":420,\"models/glyphs/webgl/buffer\":421,\"models/glyphs/webgl/webgl_utils\":422,\"models/glyphs/webgl/circle\":423,\"models/glyphs/webgl/single_marker\":424,\"models/glyphs/webgl/hex_tile\":425,\"models/glyphs/webgl/line_gl\":426,\"models/glyphs/webgl/lrtb\":427,\"models/glyphs/webgl/multi_marker\":428,\"models/glyphs/webgl/rect\":429}, {});});\n\n      /* END bokeh-gl.min.js */\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh-widgets.min.js */\n      /*!\n       * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.4.3\");\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      439: function _(t,e,i,o,r){o();const s=(0,t(1).__importStar)(t(440));i.Widgets=s;(0,t(7).register_models)(s)},\n      440: function _(t,e,r,o,u){o(),u(\"AbstractButton\",t(441).AbstractButton),u(\"AbstractIcon\",t(444).AbstractIcon),u(\"AutocompleteInput\",t(445).AutocompleteInput),u(\"Button\",t(450).Button),u(\"CheckboxButtonGroup\",t(451).CheckboxButtonGroup),u(\"CheckboxGroup\",t(454).CheckboxGroup),u(\"ColorPicker\",t(456).ColorPicker),u(\"DatePicker\",t(457).DatePicker),u(\"DateRangeSlider\",t(460).DateRangeSlider),u(\"DateSlider\",t(465).DateSlider),u(\"DatetimeRangeSlider\",t(466).DatetimeRangeSlider),u(\"Div\",t(467).Div),u(\"Dropdown\",t(470).Dropdown),u(\"FileInput\",t(471).FileInput),u(\"InputWidget\",t(448).InputWidget),u(\"Markup\",t(468).Markup),u(\"MultiSelect\",t(472).MultiSelect),u(\"Paragraph\",t(473).Paragraph),u(\"PasswordInput\",t(474).PasswordInput),u(\"MultiChoice\",t(475).MultiChoice),u(\"NumericInput\",t(478).NumericInput),u(\"PreText\",t(479).PreText),u(\"RadioButtonGroup\",t(480).RadioButtonGroup),u(\"RadioGroup\",t(481).RadioGroup),u(\"RangeSlider\",t(482).RangeSlider),u(\"Select\",t(483).Select),u(\"Slider\",t(484).Slider),u(\"Spinner\",t(485).Spinner),u(\"TextInput\",t(446).TextInput),u(\"TextAreaInput\",t(486).TextAreaInput),u(\"Toggle\",t(487).Toggle),u(\"Widget\",t(512).Widget)},\n      441: function _(t,e,n,i,s){i();const l=t(1);var o;const r=t(20),c=t(43),u=t(113),_=t(442),a=t(444),d=(0,l.__importStar)(t(318)),h=d;class b extends _.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await(0,u.build_view)(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n      442: function _(t,e,o,s,n){s();const i=t(512),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n      512: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n      444: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n      445: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(446),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let s;s=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n      446: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(447),r=t(43),x=(0,u.__importStar)(t(449));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n      447: function _(e,t,n,i,l){var s;i();const h=e(448);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n      448: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(442),_=e(43),p=(0,i.__importStar)(e(449)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n      449: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n      450: function _(t,e,n,o,c){var s;o();const u=t(441),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n      451: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(452),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n      452: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(453),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n      453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n      454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;i<n.length;i++){const s=(0,l.input)({type:\"checkbox\",value:`${i}`});s.addEventListener(\"change\",(()=>this.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n      455: function _(n,t,e,s,o){s();const r=n(1),u=n(442),c=(0,r.__importDefault)(n(449));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n      456: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(448),c=e(43),a=e(22),d=(0,s.__importStar)(e(449));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n      457: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(458)),d=e(448),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(449)),_=(0,a.__importDefault)(e(459));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n      458: function _(e,n,t,a,i){\n      /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n      /*! *****************************************************************************\n              Copyright (c) Microsoft Corporation.\n          \n              Permission to use, copy, modify, and/or distribute this software for any\n              purpose with or without fee is hereby granted.\n          \n              THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n              REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n              AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n              INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n              LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n              OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n              PERFORMANCE OF THIS SOFTWARE.\n              ***************************************************************************** */var e=function(){return e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],a={_disable:[],_enable:[],allowInput:!1,allowInvalidPreload:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",autoFillDefaultTime:!0,clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof console&&console.warn(e)},getWeek:function(e){var n=new Date(e.getTime());n.setHours(0,0,0,0),n.setDate(n.getDate()+3-(n.getDay()+6)%7);var t=new Date(n.getFullYear(),0,4);return 1+Math.round(((n.getTime()-t.getTime())/864e5-3+(t.getDay()+6)%7)/7)},hourIncrement:1,ignoredFocusElements:[],inline:!1,locale:\"default\",minuteIncrement:5,mode:\"single\",monthSelectorType:\"dropdown\",nextArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M13.207 8.472l-7.854 7.854-0.707-0.707 7.146-7.146-7.146-7.148 0.707-0.707 7.854 7.854z' /></svg>\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M5.207 8.471l7.146 7.147-0.707 0.707-7.853-7.854 7.854-7.853 0.707 0.707-7.147 7.146z' 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l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return w.setDate(w._input.value,!0,n===w.altInput?w.config.altFormat:w.config.dateFormat),n.blur();w.open()}else if(V(n)||i||o){var r=!!w.timeContainer&&w.timeContainer.contains(n);switch(e.keyCode){case 13:r?(e.preventDefault(),T(),se()):ue(e);break;case 27:e.preventDefault(),se();break;case 8:case 46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=y)X(new Date(c),!0)||(o=o||c>a&&c<i,c<t&&(!r||c>r)?r=c:c>t&&(!l||c<l)&&(l=c));for(var d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&c<t&&l.top>t,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new Date(w.currentYear,w.currentMonth,1);t.setMonth(w.currentMonth+n),w.config.showMonths>1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYear<w.config.minDate.getFullYear()),w._hideNextMonthArrow=void 0!==w.config.maxDate&&(w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth+1>w.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u<n.length;u++)w.config[n[u]]=!0===w.config[n[u]]||\"true\"===w.config[n[u]];for(t.filter((function(e){return void 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k.map(vt)},on:it,off:ot,get:gt,set:mt,setHandle:function(t,e,r,n){if(!((t=Number(t))>=0&&t<k.length))throw new Error(\"noUiSlider: invalid handle number, got: \"+t);ft(t,ht(e,t),!0,!0,n),st(\"update\",t),r&&st(\"set\",t)},reset:function(t){mt(r.start,t)},__moveHandles:function(t,e,r){ut(t,e,V,r)},options:n,updateOptions:function(t,e){var i=gt(),s=[\"margin\",\"limit\",\"padding\",\"range\",\"animate\",\"snap\",\"step\",\"format\",\"pips\",\"tooltips\"];s.forEach((function(e){void 0!==t[e]&&(n[e]=t[e])}));var a=G(n);s.forEach((function(e){void 0!==t[e]&&(r[e]=a[e])})),C=a.spectrum,r.margin=a.margin,r.limit=a.limit,r.padding=a.padding,r.pips?W(r.pips):I(),r.tooltips?B():_(),V=[],mt(o(t.start)?t.start:i,e)},target:w,removePips:I,removeTooltips:_,getPositions:function(){return V.slice()},getTooltips:function(){return v},getOrigins:function(){return p},pips:W};return bt}function K(t,e){if(!t||!t.nodeName)throw new Error(\"noUiSlider: create requires a single element, got: 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.noUi-touch-area{height:100%;width:100%;}.bk-root .noUi-state-tap .noUi-connect,.bk-root .noUi-state-tap .noUi-origin{-webkit-transition:transform 0.3s;transition:transform 0.3s;}.bk-root .noUi-state-drag *{cursor:inherit !important;}.bk-root .noUi-horizontal{height:18px;}.bk-root .noUi-horizontal .noUi-handle{width:34px;height:28px;right:-17px;top:-6px;}.bk-root .noUi-vertical{width:18px;}.bk-root .noUi-vertical .noUi-handle{width:28px;height:34px;right:-6px;top:-17px;}.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle{left:-17px;right:auto;}.bk-root .noUi-target{background:#FAFAFA;border-radius:4px;border:1px solid #D3D3D3;box-shadow:inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;}.bk-root .noUi-connects{border-radius:3px;}.bk-root .noUi-connect{background:#3FB8AF;}.bk-root .noUi-draggable{cursor:ew-resize;}.bk-root .noUi-vertical .noUi-draggable{cursor:ns-resize;}.bk-root .noUi-handle{border:1px solid #D9D9D9;border-radius:3px;background:#FFF;cursor:default;box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;}.bk-root .noUi-active{box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;}.bk-root .noUi-handle:before,.bk-root .noUi-handle:after{content:\"\";display:block;position:absolute;height:14px;width:1px;background:#E8E7E6;left:14px;top:6px;}.bk-root .noUi-handle:after{left:17px;}.bk-root .noUi-vertical .noUi-handle:before,.bk-root .noUi-vertical .noUi-handle:after{width:14px;height:1px;left:6px;top:14px;}.bk-root .noUi-vertical .noUi-handle:after{top:17px;}.bk-root [disabled] .noUi-connect{background:#B8B8B8;}.bk-root [disabled].noUi-target,.bk-root [disabled].noUi-handle,.bk-root [disabled] .noUi-handle{cursor:not-allowed;}.bk-root .noUi-pips,.bk-root .noUi-pips *{-moz-box-sizing:border-box;box-sizing:border-box;}.bk-root .noUi-pips{position:absolute;color:#999;}.bk-root .noUi-value{position:absolute;white-space:nowrap;text-align:center;}.bk-root .noUi-value-sub{color:#ccc;font-size:10px;}.bk-root 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.noUi-marker-vertical.noUi-marker{width:5px;height:2px;margin-top:-1px;}.bk-root .noUi-marker-vertical.noUi-marker-sub{width:10px;}.bk-root .noUi-marker-vertical.noUi-marker-large{width:15px;}.bk-root .noUi-tooltip{display:block;position:absolute;border:1px solid #D9D9D9;border-radius:3px;background:#fff;color:#000;padding:5px;text-align:center;white-space:nowrap;}.bk-root .noUi-horizontal .noUi-tooltip{-webkit-transform:translate(-50%, 0);transform:translate(-50%, 0);left:50%;bottom:120%;}.bk-root .noUi-vertical .noUi-tooltip{-webkit-transform:translate(0, -50%);transform:translate(0, -50%);top:50%;right:120%;}.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root .noUi-vertical{width:10px;height:100%;}.bk-root .noUi-horizontal .noUi-handle{width:14px;height:18px;right:-7px;top:-5px;}.bk-root .noUi-vertical .noUi-handle{width:18px;height:14px;right:-5px;top:-7px;}.bk-root .noUi-target.noUi-horizontal{margin:5px 0px;}.bk-root .noUi-target.noUi-vertical{margin:0px 5px;}'},\n      465: function _(e,t,r,a,i){a();var s;const d=(0,e(1).__importDefault)(e(151)),o=e(461),_=e(8);class n extends o.AbstractSliderView{}r.DateSliderView=n,n.__name__=\"DateSliderView\";class c extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,_.isString)(t)?(0,d.default)(e,t):t.compute(e)}}r.DateSlider=c,s=c,c.__name__=\"DateSlider\",s.prototype.default_view=n,s.override({format:\"%d %b %Y\"})},\n      466: function _(e,t,r,a,i){a();var n;const s=(0,e(1).__importDefault)(e(151)),d=e(461),o=e(8);class _ extends d.AbstractRangeSliderView{}r.DatetimeRangeSliderView=_,_.__name__=\"DatetimeRangeSliderView\";class c extends d.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,s.default)(e,t):t.compute(e)}}r.DatetimeRangeSlider=c,n=c,c.__name__=\"DatetimeRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y %H:%M:%S\",step:36e5})},\n      467: function _(e,t,s,r,i){var _;r();const n=e(468);class a extends n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n      468: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(512),_=(0,a.__importStar)(t(469));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i<t.length&&s.push(t.slice(i)),s.join(\"\")}contains_tex_string(){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(this.model.text).length>0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n      469: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n      470: function _(e,t,i,n,s){n();const o=e(1);var l;const r=e(441),d=e(251),_=e(43),u=e(8),c=(0,o.__importStar)(e(318)),h=(0,o.__importStar)(e(229)),m=h;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=(0,_.div)({class:[m.caret,m.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return(0,_.div)({class:m.divider});{const i=(0,u.isString)(e)?e:e[0],n=(0,_.div)(i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,_.undisplay)(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new d.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=(0,u.isString)(t)?t:t[1];(0,u.isString)(i)?this.model.trigger_event(new d.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class a extends r.AbstractButton{constructor(e){super(e)}get is_split(){return this.split}}i.Dropdown=a,l=a,a.__name__=\"Dropdown\",l.prototype.default_view=p,l.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),l.override({label:\"Dropdown\"})},\n      471: function _(e,l,i,t,s){var n;t();const a=e(43),o=e(512);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read 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h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.input_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiSelectView=d,d.__name__=\"MultiSelectView\";class u extends h.InputWidget{constructor(e){super(e)}}i.MultiSelect=u,o=u,u.__name__=\"MultiSelect\",o.prototype.default_view=d,o.define((({Int:e,String:t,Array:i,Tuple:s,Or:n})=>({value:[i(t),[]],options:[i(n(t,s(t,t))),[]],size:[e,4]})))},\n      473: function _(e,a,r,t,s){var n;t();const p=e(468),_=e(43);class i extends p.MarkupView{render(){super.render();const e=(0,_.p)({style:{margin:0}});this.has_math_disabled()?e.textContent=this.model.text:e.innerHTML=this.process_tex(),this.markup_el.appendChild(e)}}r.ParagraphView=i,i.__name__=\"ParagraphView\";class h extends p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n      474: function _(e,s,t,n,r){var p;n();const u=e(446);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n      475: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(476)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(449)),d=(0,o.__importDefault)(e(477)),r=e(448);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n<s;n+=1)t.push(new r(i[n],this.options));return{tokenSearchers:t,fullSearcher:new r(e,this.options)}}},{key:\"_search\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r<o;r+=1)this._analyze({key:\"\",value:i[r],record:r,index:r},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t});return{weights:null,results:s}}for(var a={},c=0,l=i.length;c<l;c+=1)for(var 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n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var pe=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&de(t.prototype,i),n&&de(t,n),e}();function me(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var fe=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.delimiter;return(i=e.call(this,{element:n,classNames:s})||this).delimiter=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,n=o,(s=[{key:\"value\",get:function(){return this.element.value},set:function(e){var t=e.map((function(e){return e.value})).join(this.delimiter);this.element.setAttribute(\"value\",t),this.element.value=t}}])&&me(n.prototype,s),r&&me(n,r),o}(pe);function ve(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var ge=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.template;return(i=e.call(this,{element:n,classNames:s})||this).template=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,o.prototype.appendDocFragment=function(e){this.element.innerHTML=\"\",this.element.appendChild(e)},n=o,(s=[{key:\"placeholderOption\",get:function(){return this.element.querySelector('option[value=\"\"]')||this.element.querySelector(\"option[placeholder]\")}},{key:\"optionGroups\",get:function(){return Array.from(this.element.getElementsByTagName(\"OPTGROUP\"))}},{key:\"options\",get:function(){return Array.from(this.element.options)},set:function(e){var t=this,i=document.createDocumentFragment();e.forEach((function(e){return n=e,s=t.template(n),void i.appendChild(s);var n,s})),this.appendDocFragment(i)}}])&&ve(n.prototype,s),r&&ve(n,r),o}(pe),_e={containerOuter:function(e,t,i,n,s,r){var o=e.containerOuter,a=Object.assign(document.createElement(\"div\"),{className:o});return a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=\"Remove item\",_=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:g});_.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),_.dataset.button=\"\",v.appendChild(_)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var we=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Oe={},Ce=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=h.type===re,this._isSelectOneElement=h.type===oe,this._isSelectMultipleElement=h.type===ae,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new fe({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new ge({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return t+\"-\"+i.replace(/(:|\\.|\\[|\\]|,)/g,\"\")}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Oe},get templates(){return _e}})}}],(t=null)&&Se(e.prototype,t),i&&Se(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(Ie(!0))},r._stopLoading=function(){this._store.dispatch(Ie(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(_e,t)},r._createElements=function(){this.containerOuter=new ce({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new ce({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new he({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ue({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ue({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Ce}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=o():\"function\"==typeof define&&define.amd?define([],o):\"object\"==typeof i?i.Choices=o():r.Choices=o()},\n      477: function _(o,e,i,t,r){t(),i.root=\"bk-root\",i.default=\".bk-root{}.bk-root .choices{position:relative;margin-bottom:24px;font-size:16px;}.bk-root .choices:focus{outline:none;}.bk-root .choices:last-child{margin-bottom:0;}.bk-root .choices.is-disabled .choices__inner,.bk-root .choices.is-disabled .choices__input{background-color:#eaeaea;cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;}.bk-root .choices.is-disabled .choices__item{cursor:not-allowed;}.bk-root .choices [hidden]{display:none !important;}.bk-root .choices[data-type*='select-one']{cursor:pointer;}.bk-root .choices[data-type*='select-one'] .choices__inner{padding-bottom:7.5px;}.bk-root .choices[data-type*='select-one'] .choices__input{display:block;width:100%;padding:10px;border-bottom:1px solid #dddddd;background-color:#ffffff;margin:0;}.bk-root .choices[data-type*='select-one'] .choices__button{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);padding:0;background-size:8px;position:absolute;top:50%;right:0;margin-top:-10px;margin-right:25px;height:20px;width:20px;border-radius:10em;opacity:0.5;}.bk-root .choices[data-type*='select-one'] .choices__button:hover,.bk-root .choices[data-type*='select-one'] .choices__button:focus{opacity:1;}.bk-root .choices[data-type*='select-one'] .choices__button:focus{box-shadow:0px 0px 0px 2px #00bcd4;}.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button{display:none;}.bk-root .choices[data-type*='select-one']:after{content:'';height:0;width:0;border-style:solid;border-color:#333333 transparent transparent transparent;border-width:5px;position:absolute;right:11.5px;top:50%;margin-top:-2.5px;pointer-events:none;}.bk-root .choices[data-type*='select-one'].is-open:after{border-color:transparent transparent #333333 transparent;margin-top:-7.5px;}.bk-root .choices[data-type*='select-one'][dir='rtl']:after{left:11.5px;right:auto;}.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button{right:auto;left:0;margin-left:25px;margin-right:0;}.bk-root .choices[data-type*='select-multiple'] .choices__inner,.bk-root .choices[data-type*='text'] .choices__inner{cursor:text;}.bk-root .choices[data-type*='select-multiple'] .choices__button,.bk-root .choices[data-type*='text'] .choices__button{position:relative;display:inline-block;margin-top:0;margin-right:-4px;margin-bottom:0;margin-left:8px;padding-left:16px;border-left:1px solid #008fa1;background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);background-size:8px;width:8px;line-height:1;opacity:0.75;border-radius:0;}.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,.bk-root .choices[data-type*='text'] .choices__button:hover,.bk-root .choices[data-type*='text'] .choices__button:focus{opacity:1;}.bk-root .choices__inner{display:inline-block;vertical-align:top;width:100%;background-color:#f9f9f9;padding:7.5px 7.5px 3.75px;border:1px solid #dddddd;border-radius:2.5px;font-size:14px;min-height:44px;overflow:hidden;}.bk-root .is-focused .choices__inner,.bk-root .is-open .choices__inner{border-color:#b7b7b7;}.bk-root .is-open .choices__inner{border-radius:2.5px 2.5px 0 0;}.bk-root .is-flipped.is-open .choices__inner{border-radius:0 0 2.5px 2.5px;}.bk-root .choices__list{margin:0;padding-left:0;list-style:none;}.bk-root .choices__list--single{display:inline-block;padding:4px 16px 4px 4px;width:100%;}.bk-root [dir='rtl'] .choices__list--single{padding-right:4px;padding-left:16px;}.bk-root .choices__list--single .choices__item{width:100%;}.bk-root .choices__list--multiple{display:inline;}.bk-root .choices__list--multiple .choices__item{display:inline-block;vertical-align:middle;border-radius:20px;padding:4px 10px;font-size:12px;font-weight:500;margin-right:3.75px;margin-bottom:3.75px;background-color:#00bcd4;border:1px solid #00a5bb;color:#ffffff;word-break:break-all;box-sizing:border-box;}.bk-root .choices__list--multiple .choices__item[data-deletable]{padding-right:5px;}.bk-root [dir='rtl'] .choices__list--multiple .choices__item{margin-right:0;margin-left:3.75px;}.bk-root .choices__list--multiple .choices__item.is-highlighted{background-color:#00a5bb;border:1px solid #008fa1;}.bk-root .is-disabled .choices__list--multiple .choices__item{background-color:#aaaaaa;border:1px solid #919191;}.bk-root .choices__list--dropdown{visibility:hidden;z-index:1;position:absolute;width:100%;background-color:#ffffff;border:1px solid #dddddd;top:100%;margin-top:-1px;border-bottom-left-radius:2.5px;border-bottom-right-radius:2.5px;overflow:hidden;word-break:break-all;will-change:visibility;}.bk-root .choices__list--dropdown.is-active{visibility:visible;}.bk-root .is-open .choices__list--dropdown{border-color:#b7b7b7;}.bk-root .is-flipped .choices__list--dropdown{top:auto;bottom:100%;margin-top:0;margin-bottom:-1px;border-radius:0.25rem 0.25rem 0 0;}.bk-root .choices__list--dropdown .choices__list{position:relative;max-height:300px;overflow:auto;-webkit-overflow-scrolling:touch;will-change:scroll-position;}.bk-root .choices__list--dropdown .choices__item{position:relative;padding:10px;font-size:14px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item{text-align:right;}@media (min-width: 640px){.bk-root .choices__list--dropdown .choices__item--selectable{padding-right:100px;}.bk-root .choices__list--dropdown .choices__item--selectable:after{content:attr(data-select-text);font-size:12px;opacity:0;position:absolute;right:10px;top:50%;transform:translateY(-50%);}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable{text-align:right;padding-left:100px;padding-right:10px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after{right:auto;left:10px;}}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted{background-color:#f2f2f2;}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after{opacity:0.5;}.bk-root .choices__item{cursor:default;}.bk-root .choices__item--selectable{cursor:pointer;}.bk-root .choices__item--disabled{cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;opacity:0.5;}.bk-root .choices__heading{font-weight:600;font-size:12px;padding:10px;border-bottom:1px solid #f7f7f7;color:gray;}.bk-root .choices__button{text-indent:-9999px;-webkit-appearance:none;-moz-appearance:none;appearance:none;border:0;background-color:transparent;background-repeat:no-repeat;background-position:center;cursor:pointer;}.bk-root .choices__button:focus{outline:none;}.bk-root .choices__input{display:inline-block;vertical-align:baseline;background-color:#f9f9f9;font-size:14px;margin-bottom:5px;border:0;border-radius:0;max-width:100%;padding:4px 0 4px 2px;}.bk-root .choices__input:focus{outline:0;}.bk-root [dir='rtl'] .choices__input{padding-right:2px;padding-left:0;}.bk-root .choices__placeholder{opacity:0.5;}.bk-root .choices{width:100%;}.bk-root .choices{box-sizing:border-box;}.bk-root .choices *,.bk-root .choices *:before,.bk-root .choices *:after{box-sizing:inherit;}.bk-root .choices__inner .choices__item.light{background-color:rgba(0, 126, 255, 0.08);border-radius:5px;border:1px solid rgba(0, 126, 255, 0.24);color:#007eff;}.bk-root .choices__inner .choices__item.solid{background-color:#1f77b4;border:none;border-radius:5px;color:white;}.bk-root .choices__inner .choices__item.solid .is-highlighted{background-color:#1f77b4;border:none;}.bk-root .choices__input{background-color:transparent;}.bk-root .choices__inner{background:transparent;border:1px solid darkgray;border-radius:5px;min-height:unset;}.bk-root .choices__list{white-space:initial;}.bk-root .choices__list--dropdown{z-index:100;}.bk-root .choices[data-type*=select-multiple] .choices__button.light{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);}.bk-root .choices[data-type*=select-multiple] .choices__button.solid{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);border-left:1px solid white;opacity:1;}\"},\n      478: function _(e,t,l,i,n){i();const s=e(1);var u;const h=(0,s.__importStar)(e(153)),o=e(448),a=e(131),r=e(43),d=e(8),p=e(11),_=(0,s.__importStar)(e(449)),m=/^[-+]?\\d*$/,c=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class v extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e<t&&(this.model.value=t)})),this.connect(this.model.properties.high.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n      479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n      480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n      481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;a<t.length;a++){const s=(0,o.input)({type:\"radio\",name:n,value:`${a}`});s.addEventListener(\"change\",(()=>this.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n      482: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(461),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n      483: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(448),r=(0,l.__importStar)(e(449));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n      484: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(461),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n      485: function _(e,t,i,n,s){var l;n();const o=e(478),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n      486: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(447),l=e(43),p=(0,o.__importStar)(e(449));class _ extends 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n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n      }, 439, {\"models/widgets/main\":439,\"models/widgets/index\":440,\"models/widgets/abstract_button\":441,\"models/widgets/control\":442,\"models/widgets/widget\":512,\"models/widgets/abstract_icon\":444,\"models/widgets/autocomplete_input\":445,\"models/widgets/text_input\":446,\"models/widgets/text_like_input\":447,\"models/widgets/input_widget\":448,\"styles/widgets/inputs.css\":449,\"models/widgets/button\":450,\"models/widgets/checkbox_button_group\":451,\"models/widgets/button_group\":452,\"models/widgets/oriented_control\":453,\"models/widgets/checkbox_group\":454,\"models/widgets/input_group\":455,\"models/widgets/color_picker\":456,\"models/widgets/date_picker\":457,\"styles/widgets/flatpickr.css\":459,\"models/widgets/date_range_slider\":460,\"models/widgets/abstract_slider\":461,\"styles/widgets/sliders.css\":463,\"styles/widgets/nouislider.css\":464,\"models/widgets/date_slider\":465,\"models/widgets/datetime_range_slider\":466,\"models/widgets/div\":467,\"models/widgets/markup\":468,\"styles/clearfix.css\":469,\"models/widgets/dropdown\":470,\"models/widgets/file_input\":471,\"models/widgets/multiselect\":472,\"models/widgets/paragraph\":473,\"models/widgets/password_input\":474,\"models/widgets/multichoice\":475,\"styles/widgets/choices.css\":477,\"models/widgets/numeric_input\":478,\"models/widgets/pretext\":479,\"models/widgets/radio_button_group\":480,\"models/widgets/radio_group\":481,\"models/widgets/range_slider\":482,\"models/widgets/selectbox\":483,\"models/widgets/slider\":484,\"models/widgets/spinner\":485,\"models/widgets/textarea_input\":486,\"models/widgets/toggle\":487}, {});});\n\n      /* END bokeh-widgets.min.js */\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.4.3\");\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      488: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(489));o.Tables=_;(0,t(7).register_models)(_)},\n      489: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(490),r),(0,o.__exportStar)(g(493),r),t(\"DataTable\",g(496).DataTable),t(\"TableColumn\",g(514).TableColumn),t(\"TableWidget\",g(513).TableWidget);var n=g(516);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(517);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n      490: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(491),v=(0,r.__importStar)(e(492));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends 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r.extend(!0,[],t)}i(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?c(t):t},this.getDepth=function(){return s(t)},this.getColumnsInDepth=function(n){return l(t,n)},this.getColumnsInGroup=function(t){return c(t)},this.visibleColumns=function(){return o(h(),(function(){return this.visible}))},this.filter=function(t){return o(h(),t)},this.reOrder=function(n){return e(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n      501: function _(e,t,o,l,n){var i=e(498),c=e(500);t.exports={CheckboxSelectColumn:function(e){var t,o=null,l=k(),n=new c.EventHandler,r={},d=!1,a=i.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){i(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||i(\"#header-filter-selector\"+l).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(i.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(i(e.target).is(\":checked\")){for(var l=[],n=0;n<t.getDataLength();n++){C(n,t.getDataItem(n),t)&&l.push(n)}t.setSelectedRows(l)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox' checked='checked'><label for='header-selector\"+l+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",a.toolTip)}function v(e){o=e}i.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(i(t.node).empty(),i(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+l+\"' type='checkbox'><label for='header-filter-selector\"+l+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,m)},destroy:function(){n.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(i.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=i.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),n.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=i(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n      502: function _(e,t,o,l,n){var a=e(498),r=e(500),i=r.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,l=this,n=e||{},s=n.copiedCellStyleLayerKey||\"copy-manager\",u=n.copiedCellStyle||\"copied\",c=0,d=n.bodyElement||document.body,f=n.onCopyInit||null,h=n.onCopySuccess||null;function C(e){if(n.headerColumnValueExtractor){var t=n.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,l){if(n.dataItemColumnValueExtractor){var r=n.dataItemColumnValueExtractor(e,o);if(r)return r}var i=\"\";if(o.editor){var s={container:a(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:l},u=new o.editor(s);u.loadValue(e),i=u.serializeValue(),u.destroy()}else i=e[o.field];return i}function g(e,o,l){if(o.denyPaste)return null;if(n.dataItemColumnValueSetter)return n.dataItemColumnValueSetter(e,o,l);if(o.editor){var r={container:a(\"body\"),column:o,position:{top:0,left:0},grid:t},i=new o.editor(r);i.loadValue(e),i.applyValue(e,l),i.destroy()}else e[o.field]=l}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,a){var r;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==i.ESC&&o&&(e.preventDefault(),w(),l.onCopyCancelled.notify({ranges:o}),o=null),(e.which===i.C||e.which===i.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(r=t.getSelectionModel().getSelectedRanges()).length)){o=r,v(r),l.onCopyCells.notify({ranges:r});for(var s=t.getColumns(),u=\"\",c=0;c<r.length;c++){for(var y=r[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&n.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===r.length?r[0].toRow+1-r[0].fromRow:r.length,h.call(this,I)}return!1}if(!n.readOnlyMode&&(e.which===i.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===i.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),a=t.value.split(/[\\n\\f\\r]/);\"\"===a[a.length-1]&&a.pop();var r=[],i=0;d.removeChild(t);for(var s=0;s<a.length;s++)\"\"!==a[s]?r[i++]=a[s].split(\"\\t\"):r[i++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=r.length,y=r.length?r[0].length:0;1==r.length&&1==r[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&n.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(n.newRowCreator&&R){var x=h+p-e.getDataLength();n.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:r,oldValues:[],cellExternalCopyManager:l,_options:n,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var i=e.getDataItem(n);this.oldValues[t][l]=i[o[a].field],m?this.setDataItemValueForColumn(i,o[a],r[0][0]):this.setDataItemValueForColumn(i,o[a],r[t]?r[t][l]:\"\"),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};n.clipboardCommandHandler?n.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),n={},a=0;a<e.length;a++)for(var r=e[a].fromRow;r<=e[a].toRow;r++){n[r]={};for(var i=e[a].fromCell;i<=e[a].toCell&&i<o.length;i++)n[r][o[i].id]=u}t.setCellCssStyles(s,n),clearTimeout(c),c=setTimeout((function(){l.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}a.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new r.Event,onCopyCancelled:new r.Event,onPasteCells:new r.Event,setIncludeHeaderWhenCopying:function(e){n.includeHeaderWhenCopying=e}})}}},\n      503: function _(r,t,o,_,e){var p=r(1);p.__exportStar(r(500),t.exports),p.__exportStar(r(504),t.exports),p.__exportStar(r(507),t.exports),p.__exportStar(r(508),t.exports),p.__exportStar(r(509),t.exports),p.__exportStar(r(510),t.exports),p.__exportStar(r(511),t.exports)},\n      504: function _(require,module,exports,__esModule,__esExport){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.4\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(498),Slick=require(500),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(505),$.fn.drop||require(506);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)||trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){if(!Array.isArray(e)||!Array.isArray(o))return!0;const t=new Set(e),n=new Set(o);if(t.size!=n.size)return!1;for(const e of t)if(!n.has(e))return!1;return!0}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      505: function _(t,e,a,n,r){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(498);o.fn.drag=function(t,e,a){var n=\"string\"==typeof t?t:\"\",r=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drag\")&&(n=\"drag\"+n),a=(t==r?e:a)||{},r?this.on(n,a,r):this.trigger(n)};var i=o.event,d=i.special,s=d.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=o.data(this,s.datakey),a=t.data||{};e.related+=1,o.each(s.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){o.data(this,s.datakey).related-=1},setup:function(){if(!o.data(this,s.datakey)){var t=o.extend({related:0},s.defaults);o.data(this,s.datakey,t),i.add(this,\"touchstart mousedown\",s.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",s.dontstart)}},teardown:function(){(o.data(this,s.datakey)||{}).related||(o.removeData(this,s.datakey),i.remove(this,\"touchstart mousedown\",s.init),s.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",s.dontstart))},init:function(t){if(!s.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var n=o(t.target).attr(\"class\")||\"\";if(!o(t.target).is(a.not)&&n&&-1!==n.toString().indexOf(\"slick\")&&(!a.handle||o(t.target).closest(a.handle,t.currentTarget).length)&&(s.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[s.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=s.hijack(t,\"draginit\",a),a.propagates))return(e=s.flatten(e))&&e.length&&(a.interactions=[],o.each(e,(function(){a.interactions.push(s.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&d.drop&&d.drop.handler(t,a),s.textselect(!1),s.touched?i.add(s.touched,\"touchmove touchend\",s.handler,a):i.add(document,\"mousemove mouseup\",s.handler,a),!(!s.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&o(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new s.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,s.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(s.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&d.drop&&d.drop.handler(t,e);break}t.type=\"mouseup\"}default:s.touched?i.remove(s.touched,\"touchmove touchend\",s.handler):i.remove(document,\"mousemove mouseup\",s.handler),e.dragging&&(!1!==e.drop&&d.drop&&d.drop.handler(t,e),s.hijack(t,\"dragend\",e)),s.textselect(!0),!1===e.click&&e.dragging&&o.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=s.touched=!1}},hijack:function(t,e,a,n,r){if(a){var d,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=n||0,h=isNaN(n)?a.interactions.length:n;t.type=e;var f=function(){};t.originalEvent=new o.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=s.properties(t,a,c),c.results=[],o(r||c[u]||a.droppable).each((function(n,r){if(l.target=r,t.isPropagationStopped=function(){return!1},!1===(d=r?i.dispatch.call(r,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][n]=null)):\"dropinit\"==e&&c.droppable.push(s.element(d)||r),\"dragstart\"==e&&(c.proxy=o(s.element(d)||c.drag)[0]),c.results.push(d),delete t.result,\"dropinit\"!==e)return d})),a.results[g]=s.flatten(c.results),\"dropinit\"==e&&(c.droppable=s.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,s.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=s.flatten((a.drop||[]).slice()),n.available=s.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return o.map(t,(function(t){return t&&t.jquery?o.makeArray(t):t&&t.length?s.flatten(t):t}))},textselect:function(t){o(document)[t?\"off\":\"on\"](\"selectstart\",s.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};s.callback.prototype={update:function(){d.drop&&this.available.length&&o.each(this.available,(function(t){d.drop.locate(this,t)}))}};var c=i.dispatch;i.dispatch=function(t){if(!(o.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return c.apply(this,arguments);o.removeData(this,\"suppress.\"+t.type)},d.draginit=d.dragstart=d.dragend=s},\n      506: function _(t,e,a,n,i){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(498);o.fn.drop=function(t,e,a){var n=\"string\"==typeof t?t:\"\",i=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drop\")&&(n=\"drop\"+n),a=(t==i?e:a)||{},i?this.on(n,a,i):this.trigger(n)},o.drop=function(t){t=t||{},d.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?d.multi:t.multi,d.delay=t.delay||d.delay,d.tolerance=o.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:d.tolerance,d.mode=t.mode||d.mode||\"intersect\"};var r=o.event.special,d=o.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){o.data(this,d.datakey).related+=1},remove:function(){o.data(this,d.datakey).related-=1},setup:function(){if(!o.data(this,d.datakey)){o.data(this,d.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),d.targets.push(this)}},teardown:function(){if(!(o.data(this,d.datakey)||{}).related){o.removeData(this,d.datakey);var t=this;d.targets=o.grep(d.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=o(d.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=o.data(this,d.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,r.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":d.event=t,d.timer||d.tolerate(e);break;case\"mouseup\":case\"touchend\":d.timer=clearTimeout(d.timer),e.propagates&&(r.drag.hijack(t,\"drop\",e),r.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=o.data(t,d.datakey),n=o(t),i=n.length&&!n.is(document)?n.offset():{},r=n.outerHeight(),l=n.outerWidth(),c={elem:t,width:l,height:r,top:i.top,left:i.left,right:i.left+l,bottom:i.top+r};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return 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n=o.mapIdsToRows(a);t||s(o.mapRowsToIds(n)),e.setSelectedRows(n),r=!1}})),u},syncGridCellCssStyles:function(e,t){var n,r;function o(e){for(var t in n={},e){var r=c[t][s];n[r]=e[t]}}function i(){if(n){r=!0,q();var o={};for(var i in n){var l=h[i];null!=l&&(o[l]=n[i])}e.setCellCssStyles(t,o),r=!1}}o(e.getCellCssStyles(t)),e.onCellCssStylesChanged.subscribe((function(n,l){r||t==l.key&&(l.hash?o(l.hash):(e.onCellCssStylesChanged.unsubscribe(),u.onRowsOrCountChanged.unsubscribe(i)))})),this.onRowsOrCountChanged.subscribe(i)},getLength:function(){return c.length},getItem:function(e){var t=c[e];if(t&&t.__group&&t.totals&&!t.totals.initialized){var n=I[t.level];n.displayTotalsRow||(Y(t.totals),t.title=n.formatter?n.formatter(t):t.value)}else t&&t.__groupTotals&&!t.initialized&&Y(t);return t},getItemMetadata:function(t){var n=c[t];return void 0===n?null:n.__group?e.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?e.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onSetItemsCalled:F,onRowCountChanged:A,onRowsChanged:N,onRowsOrCountChanged:G,onBeforePagingInfoChanged:T,onPagingInfoChanged:O,onGroupExpanded:P,onGroupCollapsed:D})},Aggregators:a,Data:{Aggregators:a}}},\n      508: function _(e,t,i,n,o){var l=e(498),a=e(500);function s(e){var t,i;function n(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=s.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(o){i=o[e.column.field];var l=n();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());s.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=n();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function u(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===a.keyCode.LEFT&&t>0||e.keyCode===a.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function c(e){e.keyCode!==a.keyCode.LEFT&&e.keyCode!==a.keyCode.RIGHT||e.stopImmediatePropagation()}s.DefaultDecimalPlaces=null,s.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:s,Date:function(e){var t,i,n=!1;this.init=function(){(t=l(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){n=!0},onClose:function(){n=!1}}),t.width(t.width()-18)},this.destroy=function(){l.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){n&&l.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){n&&l.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){n&&l.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=l(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=l(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,n;this.init=function(){(t=l(\"<INPUT type=text class='editor-percentcomplete' />\")).width(l(e.container).innerWidth()-25),t.appendTo(e.container),(i=l(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:n,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(l(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",l(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&(parseInt(t.val(),10)||0)!=n},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,n,o=this;this.init=function(){var n=l(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=l(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(n),t=l(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),l(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),o.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==a.keyCode.ENTER&&t.ctrlKey)o.save();else if(t.which==a.keyCode.ESCAPE)t.preventDefault(),o.cancel();else if(t.which==a.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==a.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==a.keyCode.LEFT||t.which==a.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===a.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===a.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(n),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&t.val()!=n},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      509: function _(e,n,r,t,c){e(500);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      510: function _(t,o,r,e,n){var a=t(498),l=t(500);o.exports={RemoteModel:function(){var t=50,o={length:0},r=\"\",e=null,n=1,i=null,s=null,u=new l.Event,f=new l.Event;function c(){for(var t in o)delete o[t];o.length=0}function h(l,c){if(s){s.abort();for(var h=s.fromPage;h<=s.toPage;h++)o[h*t]=void 0}l<0&&(l=0),o.length>0&&(c=Math.min(c,o.length-1));for(var v=Math.floor(l/t),m=Math.floor(c/t);void 0!==o[v*t]&&v<m;)v++;for(;void 0!==o[m*t]&&v<m;)m--;if(v>m||v==m&&void 0!==o[v*t])f.notify({from:l,to:c});else{var g=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+r+\"&start=\"+v*t+\"&limit=\"+((m-v)*t+t);null!=e&&(g+=\"&sortby=\"+e+(n>0?\"+asc\":\"+desc\")),null!=i&&clearTimeout(i),i=setTimeout((function(){for(var r=v;r<=m;r++)o[r*t]=null;u.notify({from:l,to:c}),s=a.jsonp({url:g,callbackParameter:\"callback\",cache:!0,success:d,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(v,m)}}),s.fromPage=v,s.toPage=m}),50)}}function d(t){var r=t.request.start,e=r+t.results.length;o.length=Math.min(parseInt(t.hits),1e3);for(var n=0;n<t.results.length;n++){var a=t.results[n].item;o[r+n]=a,o[r+n].index=r+n}s=null,f.notify({from:r,to:e})}return{data:o,clear:c,isDataLoaded:function(t,r){for(var e=t;e<=r;e++)if(null==o[e]||null==o[e])return!1;return!0},ensureData:h,reloadData:function(t,r){for(var e=t;e<=r;e++)delete o[e];h(t,r)},setSort:function(t,o){e=t,n=o,c()},setSearch:function(t){r=t,c()},onDataLoading:u,onDataLoaded:f}}}},\n      511: function _(e,s,t,o,l){var a=e(498),r=e(500);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,l,a,r){if(!o.enableExpandCollapse)return a.title;var c=15*a.level+\"px\";return(o.checkboxSelect?'<span class=\"'+o.checkboxSelectCssClass+\" \"+(a.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+o.toggleCssClass+\" \"+(a.collapsed?o.toggleCollapsedCssClass:o.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+o.groupTitleCssClass+\"' level='\"+a.level+\"'>\"+a.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},o=a.extend(!0,{},t,e);function l(e,t){var l=a(e.target),c=this.getDataItem(t.row);if(c&&c instanceof r.Group&&l.hasClass(o.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof r.Group&&l.hasClass(o.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,l.removeClass(c.selectChecked?\"unchecked\":\"checked\"),l.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?o.checkboxSelectPlugin.selectRows:o.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(o.enableExpandCollapse&&e.which==r.keyCode.SPACE){var l=this.getActiveCell();if(l){var a=this.getDataItem(l.row);if(a&&a instanceof r.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),a.collapsed?this.getData().expandGroup(a.groupingKey):this.getData().collapseGroup(a.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:o.groupFocusable,cssClasses:o.groupCssClass+\" slick-group-level-\"+s,formatter:o.includeHeaderTotals&&o.totalsFormatter,columns:{0:{colspan:o.includeHeaderTotals?\"1\":\"*\",formatter:o.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:o.totalsFocusable,cssClasses:o.totalsCssClass+\" slick-group-level-\"+s,formatter:o.totalsFormatter,editor:null}},getOptions:function(){return o},setOptions:function(e){a.extend(!0,o,e)}}}}},\n      512: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n      513: function _(e,i,t,s,n){var u;s();const c=e(512),o=e(75),a=e(190);class r extends c.Widget{constructor(e){super(e)}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=r,u=r,r.__name__=\"TableWidget\",u.define((({Ref:e})=>({source:[e(o.ColumnDataSource),()=>new o.ColumnDataSource],view:[e(a.CDSView),()=>new a.CDSView]})))},\n      514: function _(t,e,i,r,o){var l;r();const d=t(493),n=t(490),a=t(34),s=t(20),u=t(53);class f extends u.Model{constructor(t){super(t)}toColumn(){var t;return{id:(0,a.uniqueId)(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=f,l=f,f.__name__=\"TableColumn\",l.define((({Boolean:t,Number:e,String:i,Nullable:r,Ref:o})=>({field:[i],title:[r(i),null],width:[e,300],formatter:[o(d.StringFormatter),()=>new d.StringFormatter],editor:[o(n.StringEditor),()=>new n.StringEditor],sortable:[t,!0],default_sort:[s.Sort,\"ascending\"],visible:[t,!0]})))},\n      515: function _(A,o,e,r,i){r(),e.root=\"bk-root\",e.default='.bk-root{}.bk-root .slick-header.ui-state-default,.bk-root .slick-headerrow.ui-state-default,.bk-root .slick-footerrow.ui-state-default,.bk-root .slick-top-panel-scroller.ui-state-default,.bk-root .slick-group-header.ui-state-default{width:100%;overflow:auto;position:relative;border-left:0px !important;}.bk-root .slick-header.ui-state-default{overflow:inherit;}.bk-root .slick-header::-webkit-scrollbar,.bk-root .slick-headerrow::-webkit-scrollbar,.bk-root .slick-footerrow::-webkit-scrollbar{display:none;}.bk-root .slick-header-columns,.bk-root .slick-headerrow-columns,.bk-root .slick-footerrow-columns,.bk-root .slick-group-header-columns{position:relative;white-space:nowrap;cursor:default;overflow:hidden;}.bk-root .slick-header-column.ui-state-default,.bk-root .slick-group-header-column.ui-state-default{position:relative;display:inline-block;box-sizing:content-box !important;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;height:16px;line-height:16px;margin:0;padding:4px;border-right:1px solid silver;border-left:0px !important;border-top:0px !important;border-bottom:0px !important;float:left;}.bk-root .slick-footerrow-column.ui-state-default{-o-text-overflow:ellipsis;text-overflow:ellipsis;margin:0;padding:4px;border-right:1px solid silver;border-left:0px;border-top:0px;border-bottom:0px;float:left;line-height:20px;vertical-align:middle;}.bk-root .slick-headerrow-column.ui-state-default,.bk-root .slick-footerrow-column.ui-state-default{padding:4px;}.bk-root .slick-header-column-sorted{font-style:italic;}.bk-root .slick-sort-indicator{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:6px;float:left;}.bk-root .slick-sort-indicator-numbered{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:0;line-height:20px;float:left;font-family:Arial;font-style:normal;font-weight:bold;color:#6190CD;}.bk-root .slick-sort-indicator-desc{background:url(images/sort-desc.gif);}.bk-root .slick-sort-indicator-asc{background:url(images/sort-asc.gif);}.bk-root .slick-resizable-handle{position:absolute;font-size:0.1px;display:block;cursor:col-resize;width:9px;right:-5px;top:0;height:100%;z-index:1;}.bk-root .slick-sortable-placeholder{background:silver;}.bk-root .grid-canvas{position:relative;outline:0;}.bk-root .slick-row.ui-widget-content,.bk-root .slick-row.ui-state-active{position:absolute;border:0px;width:100%;}.bk-root .slick-cell,.bk-root .slick-headerrow-column,.bk-root .slick-footerrow-column{position:absolute;border:1px solid transparent;border-right:1px dotted silver;border-bottom-color:silver;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;vertical-align:middle;z-index:1;padding:1px 2px 2px 1px;margin:0;white-space:nowrap;cursor:default;}.bk-root .slick-cell,.bk-root .slick-headerrow-column{border-bottom-color:silver;}.bk-root .slick-footerrow-column{border-top-color:silver;}.bk-root .slick-group-toggle{display:inline-block;}.bk-root .slick-cell.highlighted{background:lightskyblue;background:rgba(0, 0, 255, 0.2);-webkit-transition:all 0.5s;-moz-transition:all 0.5s;-o-transition:all 0.5s;transition:all 0.5s;}.bk-root .slick-cell.flashing{border:1px solid red !important;}.bk-root .slick-cell.editable{z-index:11;overflow:visible;background:white;border-color:black;border-style:solid;}.bk-root .slick-cell:focus{outline:none;}.bk-root .slick-reorder-proxy{display:inline-block;background:blue;opacity:0.15;cursor:move;}.bk-root .slick-reorder-guide{display:inline-block;height:2px;background:blue;opacity:0.7;}.bk-root .slick-selection{z-index:10;position:absolute;border:2px dashed black;}.bk-root .slick-pane{position:absolute;outline:0;overflow:hidden;width:100%;}.bk-root .slick-pane-header{display:block;}.bk-root .slick-header{overflow:hidden;position:relative;}.bk-root .slick-headerrow{overflow:hidden;position:relative;}.bk-root .slick-top-panel-scroller{overflow:hidden;position:relative;}.bk-root .slick-top-panel{width:10000px;}.bk-root 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above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.4.3\");\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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e.getProperty(\"color\")&&(r.mathcolor=e.getProperty(\"color\")),this.Push(this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.CLOSE}),this.create(\"token\",\"mo\",r,e.getProperty(\"delim\")),this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.OPEN})),this.env={},[[this],!0]}return t.prototype.checkItem.call(this,e)},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"ExtraLeftMissingRight\",\"Extra \\\\left or missing \\\\right\"]}),e}(y.BaseItem);r.LeftItem=O;var k=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"middle\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.Middle=k;var j=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"right\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.RightItem=j;var E=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"begin\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"end\")){if(e.getName()!==this.getName())throw new f.default(\"EnvBadEnd\",\"\\\\begin{%1} ended with \\\\end{%2}\",this.getName(),e.getName());return this.getProperty(\"end\")?y.BaseItem.fail:[[this.factory.create(\"mml\",this.toMml())],!0]}if(e.isKind(\"stop\"))throw new f.default(\"EnvMissingEnd\",\"Missing 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n=e.First;if(!e.isKind(\"mml\")||!n)return[[r,e],!0];if(d.default.isType(n,\"mstyle\")&&n.childNodes.length&&d.default.isType(n.childNodes[0].childNodes[0],\"mspace\")||d.default.isType(n,\"mspace\"))return[[r,e],!0];d.default.isEmbellished(n)&&(n=d.default.getCoreMO(n));var i=d.default.getForm(n);if(null!=i&&[0,0,1,1,0,1,1,0,0,0][i[2]])return[[r,e],!0]}var o=this.create(\"token\",\"mo\",{texClass:p.TEXCLASS.NONE},c.entities.ApplyFunction);return[[r,o,e],!0]}return t.prototype.checkItem.apply(this,arguments)},e}(y.BaseItem);r.FnItem=A;var S=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.remap=l.MapHandler.getMap(\"not_remap\"),e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"not\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){var e,r,n;if(t.isKind(\"open\")||t.isKind(\"left\"))return 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e=t.First;if(e.isKind(\"mstyle\")&&e.notParent&&(e=d.default.getChildren(d.default.getChildren(e)[0])[0]),e.isKind(\"mspace\")){if(e!==t.First){var r=this.create(\"node\",\"mrow\",[t.Pop()]);t.Push(r)}this.factory.configuration.addNode(\"nonscript\",t.First)}}return[[t],!0]},e}(y.BaseItem);r.NonscriptItem=K;var F=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"dots\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"open\")||t.isKind(\"left\"))return y.BaseItem.success;var e=this.getProperty(\"ldots\"),r=t.First;if(t.isKind(\"mml\")&&d.default.isEmbellished(r)){var n=d.default.getTexClass(d.default.getCoreMO(r));n!==p.TEXCLASS.BIN&&n!==p.TEXCLASS.REL||(e=this.getProperty(\"cdots\"))}return[[e,t],!0]},e}(y.BaseItem);r.DotsItem=F;var N=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return 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t=this.arraydef.scriptlevel;delete this.arraydef.scriptlevel;var e=this.create(\"node\",\"mtable\",this.table,this.arraydef);return t&&e.setProperty(\"scriptlevel\",t),4===this.frame.length?d.default.setAttribute(e,\"frame\",this.dashed?\"dashed\":\"solid\"):this.frame.length&&(this.arraydef.rowlines&&(this.arraydef.rowlines=this.arraydef.rowlines.replace(/none( none)+$/,\"none\")),d.default.setAttribute(e,\"frame\",\"\"),e=this.create(\"node\",\"menclose\",[e],{notation:this.frame.join(\" \")}),\"none\"===(this.arraydef.columnlines||\"none\")&&\"none\"===(this.arraydef.rowlines||\"none\")||d.default.setAttribute(e,\"data-padding\",0)),(this.getProperty(\"open\")||this.getProperty(\"close\"))&&(e=h.default.fenced(this.factory.configuration,this.getProperty(\"open\"),e,this.getProperty(\"close\"))),e},e.prototype.EndEntry=function(){var t=this.create(\"node\",\"mtd\",this.nodes);this.hfill.length&&(0===this.hfill[0]&&d.default.setAttribute(t,\"columnalign\",\"right\"),this.hfill[this.hfill.length-1]===this.Size()&&d.default.setAttribute(t,\"columnalign\",d.default.getAttribute(t,\"columnalign\")?\"center\":\"left\")),this.row.push(t),this.Clear(),this.hfill=[]},e.prototype.EndRow=function(){var t;this.getProperty(\"isNumbered\")&&3===this.row.length?(this.row.unshift(this.row.pop()),t=this.create(\"node\",\"mlabeledtr\",this.row)):t=this.create(\"node\",\"mtr\",this.row),this.table.push(t),this.row=[]},e.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},e.prototype.checkLines=function(){if(this.arraydef.rowlines){var t=this.arraydef.rowlines.split(/ /);t.length===this.table.length?(this.frame.push(\"bottom\"),t.pop(),this.arraydef.rowlines=t.join(\" \")):t.length<this.table.length-1&&(this.arraydef.rowlines+=\" 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s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"eqnarray\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.row.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create(\"node\",\"mtd\",this.nodes);this.row.push(t),this.Clear()},e.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t=\"mtr\",e=this.factory.configuration.tags.getTag();e&&(this.row=[e].concat(this.row),t=\"mlabeledtr\"),this.factory.configuration.tags.clearTag();var r=this.create(\"node\",t,this.row);this.table.push(r),this.row=[]},e.prototype.EndTable=function(){t.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray(\"columnalign\",this.maxrow),this.extendArray(\"columnwidth\",this.maxrow),this.extendArray(\"columnspacing\",this.maxrow-1)},e.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ 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e,r,a=this.adaptor,i=!1,o=a.kind(t).replace(/^.*:/,\"\"),l=a.getAttribute(t,\"data-mjx-texclass\")||\"\";l&&(l=this.filterAttribute(\"data-mjx-texclass\",l)||\"\");var c=l&&\"mrow\"===o?\"TeXAtom\":o;try{for(var h=s(this.filterClassList(a.allClasses(t))),d=h.next();!d.done;d=h.next()){var u=d.value;u.match(/^MJX-TeXAtom-/)?(l=u.substr(12),c=\"TeXAtom\"):\"MJX-fixedlimits\"===u&&(i=!0)}}catch(t){e={error:t}}finally{try{d&&!d.done&&(r=h.return)&&r.call(h)}finally{if(e)throw e.error}}this.factory.getNodeClass(c)||this.error('Unknown node type \"'+c+'\"');var p=this.factory.create(c);return\"TeXAtom\"!==c||\"OP\"!==l||i||(p.setProperty(\"movesupsub\",!0),p.attributes.setInherited(\"movablelimits\",!0)),l&&(p.texClass=n.TEXCLASS[l],p.setProperty(\"texClass\",p.texClass)),this.addAttributes(p,t),this.checkClass(p,t),this.addChildren(p,t),p},t.prototype.addAttributes=function(t,e){var r,a,i=!1;try{for(var o=s(this.adaptor.allAttributes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=l.name,h=this.filterAttribute(c,l.value);if(null!==h&&\"xmlns\"!==c)if(\"data-mjx-\"===c.substr(0,9))\"data-mjx-alternate\"===c?t.setProperty(\"variantForm\",!0):\"data-mjx-variant\"===c?(t.attributes.set(\"mathvariant\",h),i=!0):\"data-mjx-smallmatrix\"===c?(t.setProperty(\"scriptlevel\",1),t.setProperty(\"useHeight\",!1)):\"data-mjx-accent\"===c?t.setProperty(\"mathaccent\",\"true\"===h):\"data-mjx-auto-op\"===c&&t.setProperty(\"autoOP\",\"true\"===h);else if(\"class\"!==c){var d=h.toLowerCase();\"true\"===d||\"false\"===d?t.attributes.set(c,\"true\"===d):i&&\"mathvariant\"===c||t.attributes.set(c,h)}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}},t.prototype.filterAttribute=function(t,e){return e},t.prototype.filterClassList=function(t){return t},t.prototype.addChildren=function(t,e){var r,a;if(0!==t.arity){var i=this.adaptor;try{for(var o=s(i.childNodes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=i.kind(l);if(\"#comment\"!==c)if(\"#text\"===c)this.addText(t,l);else if(t.isKind(\"annotation-xml\"))t.appendChild(this.factory.create(\"XML\").setXML(l,i));else{var h=t.appendChild(this.makeNode(l));0===h.arity&&i.childNodes(l).length&&(this.options.fixMisplacedChildren?this.addChildren(t,l):h.mError(\"There should not be children for \"+h.kind+\" nodes\",this.options.verify,!0))}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}}},t.prototype.addText=function(t,e){var r=this.adaptor.value(e);(t.isToken||t.getProperty(\"isChars\"))&&t.arity?(t.isToken&&(r=c.translate(r),r=this.trimSpace(r)),t.appendChild(this.factory.create(\"text\").setText(r))):r.match(/\\S/)&&this.error('Unexpected text node \"'+r+'\"')},t.prototype.checkClass=function(t,e){var r,a,i=[];try{for(var o=s(this.filterClassList(this.adaptor.allClasses(e))),n=o.next();!n.done;n=o.next()){var l=n.value;\"MJX-\"===l.substr(0,4)?\"MJX-variant\"===l?t.setProperty(\"variantForm\",!0):\"MJX-TeXAtom\"!==l.substr(0,11)&&t.attributes.set(\"mathvariant\",this.fixCalligraphic(l.substr(3))):i.push(l)}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}i.length&&t.attributes.set(\"class\",i.join(\" \"))},t.prototype.fixCalligraphic=function(t){return t.replace(/caligraphic/,\"calligraphic\")},t.prototype.markMrows=function(t){if(t.isKind(\"mrow\")&&!t.isInferred&&t.childNodes.length>=2){var e=t.childNodes[0],r=t.childNodes[t.childNodes.length-1];e.isKind(\"mo\")&&e.attributes.get(\"fence\")&&e.attributes.get(\"stretchy\")&&r.isKind(\"mo\")&&r.attributes.get(\"fence\")&&r.attributes.get(\"stretchy\")&&(e.childNodes.length&&t.setProperty(\"open\",e.getText()),r.childNodes.length&&t.setProperty(\"close\",r.getText()))}},t.prototype.trimSpace=function(t){return t.replace(/[\\t\\n\\r]/g,\" \").replace(/^ +/,\"\").replace(/ +$/,\"\").replace(/  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i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,n,r=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=r.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(i=r.return)&&i.call(r)}finally{if(n)throw n.error}}return s};o();var c=t(566),l=t(570),p=t(661),f=t(713),u=t(530),d=t(560);i.SVGNS=\"http://www.w3.org/2000/svg\",i.XLINKNS=\"http://www.w3.org/1999/xlink\";var y=function(t){function e(e){void 0===e&&(e=null);var i=t.call(this,e,l.SVGWrapperFactory,p.TeXFont)||this;return i.minwidth=0,i.shift=0,i.container=null,i.svgStyles=null,i.fontCache=new f.FontCache(i),i}return 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n=o.getAttribute(this.container,\"justify\")||\"center\";this.setIndent(e,n,this.shift)}},e.prototype.setIndent=function(t,e,i){\"center\"!==e&&\"left\"!==e||this.adaptor.setStyle(t,\"margin-left\",this.ex(i)),\"center\"!==e&&\"right\"!==e||this.adaptor.setStyle(t,\"margin-right\",this.ex(-i))},e.prototype.ex=function(t){return t/=this.font.params.x_height,Math.abs(t)<.001?\"0\":t.toFixed(3).replace(/\\.?0+$/,\"\")+\"ex\"},e.prototype.svg=function(t,e,o){return void 0===e&&(e={}),void 0===o&&(o=[]),this.html(t,e,o,i.SVGNS)},e.prototype.unknownText=function(t,e){var i=this.math.metrics,o=this.font.params.x_height/i.ex*i.em*1e3,n=this.svg(\"text\",{\"data-variant\":e,transform:\"scale(1,-1)\",\"font-size\":this.fixed(o,1)+\"px\"},[this.text(t)]),r=this.adaptor;if(\"-explicitFont\"!==e){var s=u.unicodeChars(t);if(1!==s.length||s[0]<119808||s[0]>120831){var a=h(this.font.getCssFont(e),3),c=a[0],l=a[1],p=a[2];r.setAttribute(n,\"font-family\",c),l&&r.setAttribute(n,\"font-style\",\"italic\"),p&&r.setAttribute(n,\"font-weight\",\"bold\")}}return n},e.prototype.measureTextNode=function(t){var e=this.adaptor;t=e.clone(t),e.removeAttribute(t,\"transform\");var i=this.fixed(1e3*this.font.params.x_height,1),o=this.svg(\"svg\",{position:\"absolute\",visibility:\"hidden\",width:\"1ex\",height:\"1ex\",viewBox:[0,0,i,i].join(\" \")},[t]);e.append(e.body(e.document),o);var n=e.nodeSize(t,1e3,!0)[0];return e.remove(o),{w:n,h:.75,d:.2}},e.NAME=\"SVG\",e.OPTIONS=a(a({},c.CommonOutputJax.OPTIONS),{internalSpeechTitles:!0,titleID:0,fontCache:\"local\",localID:null}),e.commonStyles={'mjx-container[jax=\"SVG\"]':{direction:\"ltr\"},'mjx-container[jax=\"SVG\"] > svg':{overflow:\"visible\",\"min-height\":\"1px\",\"min-width\":\"1px\"},'mjx-container[jax=\"SVG\"] > svg 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i=h(t.math),s=i.next();!s.done;s=i.next()){var a=s.value,l=n.parent(a.start.node);if(a.state()<p.STATE.METRICS&&l){var c=r[a.display?1:0].get(l),y=c.em,u=c.ex,d=c.containerWidth,f=c.lineWidth,m=c.scale,x=c.family;a.setMetrics(y,u,d,f,m),this.options.mtextInheritFont&&(a.outputData.mtextFamily=x),this.options.merrorInheritFont&&(a.outputData.merrorFamily=x),a.state(p.STATE.METRICS)}}}catch(t){e={error:t}}finally{try{s&&!s.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}},e.prototype.getMetricsFor=function(t,e){var o=this.options.mtextInheritFont||this.options.merrorInheritFont,n=this.getTestElement(t,e),r=this.measureMetrics(n,o);return this.adaptor.remove(n),r},e.prototype.getMetricMaps=function(t){var e,o,n,r,i,s,a,l,c,y,u=this.adaptor,d=[new Map,new Map];try{for(var f=h(t.math),m=f.next();!m.done;m=f.next()){var x=m.value;if((C=u.parent(x.start.node))&&x.state()<p.STATE.METRICS){var v=d[x.display?1:0];v.has(C)||v.set(C,this.getTestElement(C,x.display))}}}catch(t){e={error:t}}finally{try{m&&!m.done&&(o=f.return)&&o.call(f)}finally{if(e)throw e.error}}var S=this.options.mtextInheritFont||this.options.merrorInheritFont,g=[new Map,new Map];try{for(var w=h(g.keys()),b=w.next();!b.done;b=w.next()){var M=b.value;try{for(var F=(i=void 0,h(d[M].keys())),T=F.next();!T.done;T=F.next()){var C=T.value;g[M].set(C,this.measureMetrics(d[M].get(C),S))}}catch(t){i={error:t}}finally{try{T&&!T.done&&(s=F.return)&&s.call(F)}finally{if(i)throw i.error}}}}catch(t){n={error:t}}finally{try{b&&!b.done&&(r=w.return)&&r.call(w)}finally{if(n)throw n.error}}try{for(var O=h(g.keys()),I=O.next();!I.done;I=O.next()){M=I.value;try{for(var _=(c=void 0,h(d[M].values())),j=_.next();!j.done;j=_.next()){C=j.value;u.remove(C)}}catch(t){c={error:t}}finally{try{j&&!j.done&&(y=_.return)&&y.call(_)}finally{if(c)throw c.error}}}}catch(t){a={error:t}}finally{try{I&&!I.done&&(l=O.return)&&l.call(O)}finally{if(a)throw a.error}}return g},e.prototype.getTestElement=function(t,e){var o=this.adaptor;if(!this.testInline){this.testInline=this.html(\"mjx-test\",{style:{display:\"inline-block\",width:\"100%\",\"font-style\":\"normal\",\"font-weight\":\"normal\",\"font-size\":\"100%\",\"font-size-adjust\":\"none\",\"text-indent\":0,\"text-transform\":\"none\",\"letter-spacing\":\"normal\",\"word-spacing\":\"normal\",overflow:\"hidden\",height:\"1px\",\"margin-right\":\"-1px\"}},[this.html(\"mjx-left-box\",{style:{display:\"inline-block\",width:0,float:\"left\"}}),this.html(\"mjx-ex-box\",{style:{position:\"absolute\",overflow:\"hidden\",width:\"1px\",height:\"60ex\"}}),this.html(\"mjx-right-box\",{style:{display:\"inline-block\",width:0,float:\"right\"}})]),this.testDisplay=o.clone(this.testInline),o.setStyle(this.testDisplay,\"display\",\"table\"),o.setStyle(this.testDisplay,\"margin-right\",\"\"),o.setStyle(o.firstChild(this.testDisplay),\"display\",\"none\");var n=o.lastChild(this.testDisplay);o.setStyle(n,\"display\",\"table-cell\"),o.setStyle(n,\"width\",\"10000em\"),o.setStyle(n,\"float\",\"\")}return o.append(t,o.clone(e?this.testDisplay:this.testInline))},e.prototype.measureMetrics=function(t,e){var o=this.adaptor,n=e?o.fontFamily(t):\"\",r=o.fontSize(t),i=l(o.nodeSize(o.childNode(t,1)),2),s=i[0],a=i[1],h=s?a/60:r*this.options.exFactor;return{em:r,ex:h,containerWidth:s?\"table\"===o.getStyle(t,\"display\")?o.nodeSize(o.lastChild(t))[0]-1:o.nodeBBox(o.lastChild(t)).left-o.nodeBBox(o.firstChild(t)).left-2:1e6,lineWidth:1e6,scale:Math.max(this.options.minScale,this.options.matchFontHeight?h/this.font.params.x_height/r:1),family:n}},e.prototype.styleSheet=function(t){var e,o;if(this.setDocument(t),this.cssStyles.clear(),this.cssStyles.addStyles(this.constructor.commonStyles),\"getStyles\"in t)try{for(var n=h(t.getStyles()),r=n.next();!r.done;r=n.next()){var 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e=this.adaptor,o=this.html(\"mjx-xml-block\",{style:{display:\"inline-block\"}},[e.clone(t)]),n=this.html(\"mjx-baseline\",{style:{display:\"inline-block\",width:0,height:0}}),r=this.html(\"mjx-measure-xml\",{style:{position:\"absolute\",display:\"inline-block\",\"font-family\":\"initial\",\"line-height\":\"normal\"}},[n,o]);e.append(e.parent(this.math.start.node),this.container),e.append(this.container,r);var i=this.math.metrics.em*this.math.metrics.scale,s=e.nodeBBox(o),a=s.left,l=s.right,h=s.bottom,c=s.top,p=(l-a)/i,y=(e.nodeBBox(n).top-c)/i,u=(h-c)/i-y;return e.remove(this.container),e.remove(r),{w:p,h:y,d:u}},e.prototype.cssFontStyles=function(t,e){void 0===e&&(e={});var o=l(t,3),n=o[0],r=o[1],i=o[2];return e[\"font-family\"]=this.font.getFamily(n),r&&(e[\"font-style\"]=\"italic\"),i&&(e[\"font-weight\"]=\"bold\"),e},e.prototype.getFontData=function(t){return t||(t=new 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f=t(577),l=t(530),y=t(578);r.DirectionVH=((s={})[1]=\"v\",s[2]=\"h\",s),r.CommonMoMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var i=t.apply(this,u([],c(e)))||this;return i.size=null,i.isAccent=i.node.isAccent,i}return a(e,t),e.prototype.computeBBox=function(t,e){if(void 0===e&&(e=!1),this.protoBBox(t),this.node.attributes.get(\"symmetric\")&&2!==this.stretch.dir){var r=this.getCenterOffset(t);t.h+=r,t.d-=r}this.node.getProperty(\"mathaccent\")&&(0===this.stretch.dir||this.size>=0)&&(t.w=0)},e.prototype.protoBBox=function(e){var r=0!==this.stretch.dir;r&&null===this.size&&this.getStretchedVariant([0]),r&&this.size<0||(t.prototype.computeBBox.call(this,e),this.copySkewIC(e))},e.prototype.getAccentOffset=function(){var t=f.BBox.empty();return this.protoBBox(t),-t.w/2},e.prototype.getCenterOffset=function(e){return void 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n=t.apply(this,l([],a(e)))||this;if(n.bevel=null,n.pad=n.node.getProperty(\"withDelims\")?0:n.font.params.nulldelimiterspace,n.node.attributes.get(\"bevelled\")){var i=n.getBevelData(n.isDisplay()).H,r=n.bevel=n.createMo(\"/\");r.node.attributes.set(\"symmetric\",!0),r.canStretch(1),r.getStretchedVariant([i],!0)}return n}return s(e,t),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.empty();var o=this.node.attributes.getList(\"linethickness\",\"bevelled\"),n=o.linethickness,i=o.bevelled,r=this.isDisplay(),s=null;if(i)this.getBevelledBBox(t,r);else{var a=this.length2em(String(n),.06);s=-2*this.pad,0===a?this.getAtopBBox(t,r):(this.getFractionBBox(t,r,a),s-=.2),s+=t.w}t.clean(),this.setChildPWidths(e,s)},e.prototype.getFractionBBox=function(t,e,o){var n=this.childNodes[0].getBBox(),i=this.childNodes[1].getBBox(),r=this.font.params.axis_height,s=this.getTUV(e,o),a=s.T,l=s.u,h=s.v;t.combine(n,0,r+a+Math.max(n.d*n.rscale,l)),t.combine(i,0,r-a-Math.max(i.h*i.rscale,h)),t.w+=2*this.pad+.2},e.prototype.getTUV=function(t,e){var o=this.font.params,n=o.axis_height,i=(t?3.5:1.5)*e;return{T:(t?3.5:1.5)*e,u:(t?o.num1:o.num2)-n-i,v:(t?o.denom1:o.denom2)+n-i}},e.prototype.getAtopBBox=function(t,e){var o=this.getUVQ(e),n=o.u,i=o.v,r=o.nbox,s=o.dbox;t.combine(r,0,n),t.combine(s,0,-i),t.w+=2*this.pad},e.prototype.getUVQ=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=this.font.params,i=a(t?[n.num1,n.denom1]:[n.num3,n.denom2],2),r=i[0],s=i[1],l=(t?7:3)*n.rule_thickness,h=r-e.d*e.scale-(o.h*o.scale-s);return h<l&&(r+=(l-h)/2,s+=(l-h)/2,h=l),{u:r,v:s,q:h,nbox:e,dbox:o}},e.prototype.getBevelledBBox=function(t,e){var o=this.getBevelData(e),n=o.u,i=o.v,r=o.delta,s=o.nbox,a=o.dbox,l=this.bevel.getBBox();t.combine(s,0,n),t.combine(l,t.w-r/2,0),t.combine(a,t.w-r/2,i)},e.prototype.getBevelData=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=t?.4:.15,i=Math.max(e.scale*(e.h+e.d),o.scale*(o.h+o.d))+2*n,r=this.font.params.axis_height;return{H:i,delta:n,u:e.scale*(e.d-e.h)/2+r+n,v:o.scale*(o.d-o.h)/2+r-n,nbox:e,dbox:o}},e.prototype.canStretch=function(t){return!1},e.prototype.isDisplay=function(){var t=this.node.attributes.getList(\"displaystyle\",\"scriptlevel\"),e=t.displaystyle,o=t.scriptlevel;return e&&0===o},e.prototype.getWrapWidth=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?this.childNodes[t].getBBox().w:this.getBBox().w-(this.length2em(e.get(\"linethickness\"))?.2:0)-2*this.pad},e.prototype.getChildAlign=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?\"left\":e.get([\"numalign\",\"denomalign\"][t])},e}(t)}},\n      611: function _(t,e,r,n,o){var i,l=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},u=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var a=t(533),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfrac\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=u(this.childNodes),o=n.next();!o.done;o=n.next()){o.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){(!e||r>0)&&r++,this.childNodes[0].setInheritedAttributes(t,!1,r,n),this.childNodes[1].setInheritedAttributes(t,!1,r,!0)},e.defaults=s(s({},a.AbstractMmlBaseNode.defaults),{linethickness:\"medium\",numalign:\"center\",denomalign:\"center\",bevelled:!1}),e}(a.AbstractMmlBaseNode);r.MmlMfrac=c},\n      612: function _(t,o,i,s,n){var e,r=this&&this.__extends||(e=function(t,o){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var i in o)Object.prototype.hasOwnProperty.call(o,i)&&(t[i]=o[i])},e(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function i(){this.constructor=t}e(t,o),t.prototype=null===o?Object.create(o):(i.prototype=o.prototype,new i)});s();var h=t(574),p=t(613),a=t(614),d=function(t){function o(){var o=null!==t&&t.apply(this,arguments)||this;return o.dx=0,o}return r(o,t),o.prototype.toSVG=function(t){var o=this.childNodes[this.surd],i=this.childNodes[this.base],s=this.root?this.childNodes[this.root]:null,n=this.getBBox(),e=o.getBBox(),r=i.getBBox(),h=this.getPQ(e)[1],p=this.font.params.rule_thickness*this.bbox.scale,a=r.h+h+p,d=this.standardSVGnode(t),c=this.adaptor.append(d,this.svg(\"g\"));this.addRoot(d,s,e,a),o.toSVG(d),o.place(this.dx,n.h-e.h-p),i.toSVG(c),i.place(this.dx+e.w,0),this.adaptor.append(d,this.svg(\"rect\",{width:this.fixed(r.w),height:this.fixed(p),x:this.fixed(this.dx+e.w),y:this.fixed(n.h-2*p)}))},o.prototype.addRoot=function(t,o,i,s){},o.kind=a.MmlMsqrt.prototype.kind,o}(p.CommonMsqrtMixin(h.SVGWrapper));i.SVGmsqrt=d},\n      613: function _(t,e,r,o,n){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return s},a=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var c=t(577);r.CommonMsqrtMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,a([],u(e)))||this,n=o.createMo(\"\\u221a\");n.canStretch(1);var i=o.childNodes[o.base].getBBox(),s=i.h,c=i.d,h=o.font.params.rule_thickness,p=o.node.attributes.get(\"displaystyle\")?o.font.params.x_height:h;return o.surdH=s+c+2*h+p/4,n.getStretchedVariant([o.surdH-c,c],!0),o}return s(e,t),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"surd\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return null},enumerable:!1,configurable:!0}),e.prototype.createMo=function(e){var r=t.prototype.createMo.call(this,e);return this.childNodes.push(r),r},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r=this.childNodes[this.surd].getBBox(),o=new c.BBox(this.childNodes[this.base].getBBox()),n=this.getPQ(r)[1],i=this.font.params.rule_thickness,s=o.h+n+i,a=u(this.getRootDimens(r,s),1)[0];t.h=s+i,this.combineRootBBox(t,r,s),t.combine(r,a,s-r.h),t.combine(o,a+r.w,0),t.clean(),this.setChildPWidths(e)},e.prototype.combineRootBBox=function(t,e,r){},e.prototype.getPQ=function(t){var e=this.font.params.rule_thickness,r=this.node.attributes.get(\"displaystyle\")?this.font.params.x_height:e;return[r,t.h+t.d>this.surdH?(t.h+t.d-(this.surdH-2*e-r/2))/2:e+r/4]},e.prototype.getRootDimens=function(t,e){return[0,0,0,0]},e}(t)}},\n      614: function _(t,e,r,n,o){var i,s=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__assign||function(){return u=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},u.apply(this,arguments)};n();var c=t(533),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.ORD,e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msqrt\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0)},e.defaults=u({},c.AbstractMmlNode.defaults),e}(c.AbstractMmlNode);r.MmlMsqrt=l},\n      615: function _(t,o,r,n,e){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var r in o)Object.prototype.hasOwnProperty.call(o,r)&&(t[r]=o[r])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(r.prototype=o.prototype,new r)}),l=this&&this.__read||function(t,o){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,e,i=r.call(t),c=[];try{for(;(void 0===o||o-- 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e(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(e.prototype=o.prototype,new e)});r(),e.CommonMrootMixin=function(t){return function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),Object.defineProperty(o.prototype,\"surd\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(o.prototype,\"root\",{get:function(){return 1},enumerable:!1,configurable:!0}),o.prototype.combineRootBBox=function(t,o,e){var r=this.childNodes[this.root].getBBox(),n=this.getRootDimens(o,e)[1];t.combine(r,0,n)},o.prototype.getRootDimens=function(t,o){var e=this.childNodes[this.surd],r=this.childNodes[this.root].getBBox(),n=(e.size<0?.5:.6)*t.w,i=r.w,c=r.rscale,u=Math.max(i,n/c),s=Math.max(0,u-i);return[u*c-n,this.rootHeight(r,t,e.size,o),s]},o.prototype.rootHeight=function(t,o,e,r){var n=o.h+o.d;return(e<0?1.9:.55*n)-(n-r)+Math.max(0,t.d*t.rscale)},o}(t)}},\n      617: function _(t,e,r,n,o){var s,i=this&&this.__extends||(s=function(t,e){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},s(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}s(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},c.apply(this,arguments)};n();var u=t(533),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mroot\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this.childNodes[1].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0),this.childNodes[1].setInheritedAttributes(t,!1,r+2,n)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMroot=l},\n      618: function _(t,n,r,e,o){var i,l=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(t[r]=n[r])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a 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i=l(this.childNodes.slice(1)),s=i.next();!s.done;s=i.next()){var a=s.value;this.addMo(o.separators[n++]),e.childNodes.push(a)}}catch(r){t={error:r}}finally{try{s&&!s.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}this.addMo(o.close),e.stretchChildren()},r.prototype.addMo=function(t){if(t){var r=this.wrap(t);this.mrow.childNodes.push(r),r.parent=this.mrow}},r.prototype.computeBBox=function(t,r){void 0===r&&(r=!1),t.updateFrom(this.mrow.getBBox()),this.setChildPWidths(r)},r}(t)}},\n      620: function _(t,e,r,o,s){var n,i=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var s in e=arguments[r])Object.prototype.hasOwnProperty.call(e,s)&&(t[s]=e[s]);return t},a.apply(this,arguments)},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],o=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var c=t(533),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.INNER,e.separators=[],e.open=null,e.close=null,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfenced\"},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){this.getPrevClass(t),this.open&&(t=this.open.setTeXclass(t)),this.childNodes[0]&&(t=this.childNodes[0].setTeXclass(t));for(var e=1,r=this.childNodes.length;e<r;e++)this.separators[e-1]&&(t=this.separators[e-1].setTeXclass(t)),this.childNodes[e]&&(t=this.childNodes[e].setTeXclass(t));return this.close&&(t=this.close.setTeXclass(t)),this.updateTeXclass(this.open),t},e.prototype.setChildInheritedAttributes=function(e,r,o,s){var n,i;this.addFakeNodes();try{for(var a=l([this.open,this.close].concat(this.separators)),c=a.next();!c.done;c=a.next()){var h=c.value;h&&h.setInheritedAttributes(e,r,o,s)}}catch(t){n={error:t}}finally{try{c&&!c.done&&(i=a.return)&&i.call(a)}finally{if(n)throw n.error}}t.prototype.setChildInheritedAttributes.call(this,e,r,o,s)},e.prototype.addFakeNodes=function(){var t,e,r=this.attributes.getList(\"open\",\"close\",\"separators\"),o=r.open,s=r.close,n=r.separators;if(o=o.replace(/[ \\t\\n\\r]/g,\"\"),s=s.replace(/[ \\t\\n\\r]/g,\"\"),n=n.replace(/[ \\t\\n\\r]/g,\"\"),o&&(this.open=this.fakeNode(o,{fence:!0,form:\"prefix\"},c.TEXCLASS.OPEN)),n){for(;n.length<this.childNodes.length-1;)n+=n.charAt(n.length-1);var i=0;try{for(var a=l(this.childNodes.slice(1)),h=a.next();!h.done;h=a.next()){h.value&&this.separators.push(this.fakeNode(n.charAt(i++)))}}catch(e){t={error:e}}finally{try{h&&!h.done&&(e=a.return)&&e.call(a)}finally{if(t)throw t.error}}}s&&(this.close=this.fakeNode(s,{fence:!0,form:\"postfix\"},c.TEXCLASS.CLOSE))},e.prototype.fakeNode=function(t,e,r){void 0===e&&(e={}),void 0===r&&(r=null);var o=this.factory.create(\"text\").setText(t),s=this.factory.create(\"mo\",e,[o]);return s.texClass=r,s.parent=this,s},e.defaults=a(a({},c.AbstractMmlNode.defaults),{open:\"(\",close:\")\",separators:\",\"}),e}(c.AbstractMmlNode);r.MmlMfenced=h},\n      621: function _(t,n,o,r,i){var e,s=this&&this.__extends||(e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},e(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)}),u=this&&this.__read||function(t,n){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var r,i,e=o.call(t),s=[];try{for(;(void 0===n||n-- >0)&&!(r=e.next()).done;)s.push(r.value)}catch(t){i={error:t}}finally{try{r&&!r.done&&(o=e.return)&&o.call(e)}finally{if(i)throw i.error}}return s};r();var p=t(622),l=t(624),a=t(624),c=t(624),f=t(625),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsub.prototype.kind,n}(l.CommonMsubMixin(p.SVGscriptbase));o.SVGmsub=h;var y=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsup.prototype.kind,n}(a.CommonMsupMixin(p.SVGscriptbase));o.SVGmsup=y;var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t),o=u([this.baseChild,this.supChild,this.subChild],3),r=o[0],i=o[1],e=o[2],s=this.getBaseWidth(),p=this.getAdjustedIc(),l=u(this.getUVQ(),2),a=l[0],c=l[1];r.toSVG(n),i.toSVG(n),e.toSVG(n),e.place(s,c),i.place(s+p,a)},n.kind=f.MmlMsubsup.prototype.kind,n}(c.CommonMsubsupMixin(p.SVGscriptbase));o.SVGmsubsup=d},\n      622: function _(t,r,o,n,e){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),a=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,e,i=o.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}return s};n();var c=t(574),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),o=this.getBaseWidth(),n=a(this.getOffset(),2),e=n[0],i=n[1];this.baseChild.toSVG(r),this.scriptChild.toSVG(r),this.scriptChild.place(o+e,i)},r.kind=\"scriptbase\",r}(t(623).CommonScriptbaseMixin(c.SVGWrapper));o.SVGscriptbase=l},\n      623: function _(e,t,r,i,n){var s,o=this&&this.__extends||(s=function(e,t){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},s(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}s(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var i,n,s=r.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(i=s.next()).done;)o.push(i.value)}catch(e){n={error:e}}finally{try{i&&!i.done&&(r=s.return)&&r.call(s)}finally{if(n)throw n.error}}return o},c=this&&this.__spreadArray||function(e,t){for(var r=0,i=t.length,n=e.length;r<i;r++,n++)e[n]=t[r];return e},h=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],i=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&i>=e.length&&(e=void 0),{value:e&&e[i++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i(),r.CommonScriptbaseMixin=function(e){var t;return t=function(e){function t(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var i=e.apply(this,c([],a(t)))||this;i.baseScale=1,i.baseIc=0,i.baseRemoveIc=!1,i.baseIsChar=!1,i.baseHasAccentOver=null,i.baseHasAccentUnder=null,i.isLineAbove=!1,i.isLineBelow=!1,i.isMathAccent=!1;var n=i.baseCore=i.getBaseCore();return n?(i.setBaseAccentsFor(n),i.baseScale=i.getBaseScale(),i.baseIc=i.getBaseIc(),i.baseIsChar=i.isCharBase(),i.isMathAccent=i.baseIsChar&&i.scriptChild&&!!i.scriptChild.coreMO().node.getProperty(\"mathaccent\"),i.checkLineAccents(),i.baseRemoveIc=!i.isLineAbove&&!i.isLineBelow&&(!i.constructor.useIC||i.isMathAccent),i):i}return o(t,e),Object.defineProperty(t.prototype,\"baseChild\",{get:function(){return this.childNodes[this.node.base]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"scriptChild\",{get:function(){return this.childNodes[1]},enumerable:!1,configurable:!0}),t.prototype.getBaseCore=function(){for(var e=this.getSemanticBase()||this.childNodes[0];e&&(1===e.childNodes.length&&(e.node.isKind(\"mrow\")||e.node.isKind(\"TeXAtom\")||e.node.isKind(\"mstyle\")||e.node.isKind(\"mpadded\")||e.node.isKind(\"mphantom\")||e.node.isKind(\"semantics\"))||e.node.isKind(\"munderover\")&&e.isMathAccent);)this.setBaseAccentsFor(e),e=e.childNodes[0];return e||(this.baseHasAccentOver=this.baseHasAccentUnder=!1),e||this.childNodes[0]},t.prototype.setBaseAccentsFor=function(e){e.node.isKind(\"munderover\")&&(null===this.baseHasAccentOver&&(this.baseHasAccentOver=!!e.node.attributes.get(\"accent\")),null===this.baseHasAccentUnder&&(this.baseHasAccentUnder=!!e.node.attributes.get(\"accentunder\")))},t.prototype.getSemanticBase=function(){var e=this.node.attributes.getExplicit(\"data-semantic-fencepointer\");return this.getBaseFence(this.baseChild,e)},t.prototype.getBaseFence=function(e,t){var r,i;if(!e||!e.node.attributes||!t)return null;if(e.node.attributes.getExplicit(\"data-semantic-id\")===t)return e;try{for(var n=h(e.childNodes),s=n.next();!s.done;s=n.next()){var o=s.value,a=this.getBaseFence(o,t);if(a)return a}}catch(e){r={error:e}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return null},t.prototype.getBaseScale=function(){for(var e=this.baseCore,t=1;e&&e!==this;){t*=e.getBBox().rscale,e=e.parent}return t},t.prototype.getBaseIc=function(){return this.baseCore.getBBox().ic*this.baseScale},t.prototype.getAdjustedIc=function(){var e=this.baseCore.getBBox();return(e.ic?1.05*e.ic+.05:0)*this.baseScale},t.prototype.isCharBase=function(){var e=this.baseCore;return(e.node.isKind(\"mo\")&&null===e.size||e.node.isKind(\"mi\")||e.node.isKind(\"mn\"))&&1===e.bbox.rscale&&1===Array.from(e.getText()).length},t.prototype.checkLineAccents=function(){if(this.node.isKind(\"munderover\"))if(this.node.isKind(\"mover\"))this.isLineAbove=this.isLineAccent(this.scriptChild);else if(this.node.isKind(\"munder\"))this.isLineBelow=this.isLineAccent(this.scriptChild);else{this.isLineAbove=this.isLineAccent(this.overChild),this.isLineBelow=this.isLineAccent(this.underChild)}},t.prototype.isLineAccent=function(e){var t=e.coreMO().node;return t.isToken&&\"\\u2015\"===t.getText()},t.prototype.getBaseWidth=function(){var e=this.baseChild.getBBox();return e.w*e.rscale-(this.baseRemoveIc?this.baseIc:0)+this.font.params.extra_ic},t.prototype.computeBBox=function(e,t){void 0===t&&(t=!1);var r=this.getBaseWidth(),i=a(this.getOffset(),2),n=i[0],s=i[1];e.append(this.baseChild.getBBox()),e.combine(this.scriptChild.getBBox(),r+n,s),e.w+=this.font.params.scriptspace,e.clean(),this.setChildPWidths(t)},t.prototype.getOffset=function(){return[0,0]},t.prototype.baseCharZero=function(e){var t=!!this.baseCore.node.attributes.get(\"largeop\"),r=this.baseScale;return this.baseIsChar&&!t&&1===r?0:e},t.prototype.getV=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub1);return Math.max(this.baseCharZero(e.d*this.baseScale+r.sub_drop*t.rscale),i,t.h*t.rscale-.8*r.x_height)},t.prototype.getU=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.node.attributes.getList(\"displaystyle\",\"superscriptshift\"),n=this.node.getProperty(\"texprimestyle\")?r.sup3:i.displaystyle?r.sup1:r.sup2,s=this.length2em(i.superscriptshift,n);return Math.max(this.baseCharZero(e.h*this.baseScale-r.sup_drop*t.rscale),s,t.d*t.rscale+1/4*r.x_height)},t.prototype.hasMovableLimits=function(){var e=this.node.attributes.get(\"displaystyle\"),t=this.baseChild.coreMO().node;return!e&&!!t.attributes.get(\"movablelimits\")},t.prototype.getOverKU=function(e,t){var r=this.node.attributes.get(\"accent\"),i=this.font.params,n=t.d*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentOver?s:0,a=this.isLineAbove?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing1,i.big_op_spacing3-Math.max(0,n)))-o;return[c,e.h*e.rscale+c+n]},t.prototype.getUnderKV=function(e,t){var r=this.node.attributes.get(\"accentunder\"),i=this.font.params,n=t.h*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentUnder?s:0,a=this.isLineBelow?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing2,i.big_op_spacing4-n))-o;return[c,-(e.d*e.rscale+c+n)]},t.prototype.getDeltaW=function(e,t){var r,i,n,s;void 0===t&&(t=[0,0,0]);var o=this.node.attributes.get(\"align\"),l=e.map((function(e){return e.w*e.rscale}));l[0]-=this.baseRemoveIc&&!this.baseCore.node.attributes.get(\"largeop\")?this.baseIc:0;var u=Math.max.apply(Math,c([],a(l))),d=[],p=0;try{for(var f=h(l.keys()),b=f.next();!b.done;b=f.next()){var y=b.value;d[y]=(\"center\"===o?(u-l[y])/2:\"right\"===o?u-l[y]:0)+t[y],d[y]<p&&(p=-d[y])}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}if(p)try{for(var g=h(d.keys()),v=g.next();!v.done;v=g.next()){y=v.value;d[y]+=p}}catch(e){n={error:e}}finally{try{v&&!v.done&&(s=g.return)&&s.call(g)}finally{if(n)throw n.error}}return[1,2].map((function(t){return d[t]+=e[t]?e[t].dx*e[0].scale:0})),d},t.prototype.getDelta=function(e){void 0===e&&(e=!1);var t=this.node.attributes.get(\"accent\"),r=this.baseCore.getBBox(),i=r.sk,n=r.ic;return((t&&!e?i:0)+this.font.skewIcFactor*n)*this.baseScale},t.prototype.stretchChildren=function(){var e,t,r,i,n,s,o=[];try{for(var a=h(this.childNodes),c=a.next();!c.done;c=a.next()){(C=c.value).canStretch(2)&&o.push(C)}}catch(t){e={error:t}}finally{try{c&&!c.done&&(t=a.return)&&t.call(a)}finally{if(e)throw e.error}}var l=o.length,u=this.childNodes.length;if(l&&u>1){var d=0,p=l>1&&l===u;try{for(var f=h(this.childNodes),b=f.next();!b.done;b=f.next()){var y=0===(C=b.value).stretch.dir;if(p||y){var g=C.getBBox(y),v=g.w,m=g.rscale;v*m>d&&(d=v*m)}}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}try{for(var B=h(o),x=B.next();!x.done;x=B.next()){var C;(C=x.value).coreMO().getStretchedVariant([d/C.bbox.rscale])}}catch(e){n={error:e}}finally{try{x&&!x.done&&(s=B.return)&&s.call(B)}finally{if(n)throw n.error}}}},t}(e),t.useIC=!0,t}},\n      624: function _(t,e,i,r,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),u=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,n,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(r=o.next()).done;)s.push(r.value)}catch(t){n={error:t}}finally{try{r&&!r.done&&(i=o.return)&&i.call(o)}finally{if(n)throw n.error}}return s};r(),i.CommonMsubMixin=function(t){var e;return e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[0,-this.getV()]},e}(t),e.useIC=!1,e},i.CommonMsupMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[this.getAdjustedIc()-(this.baseRemoveIc?0:this.baseIc),this.getU()]},e}(t)},i.CommonMsubsupMixin=function(t){var e;return e=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.UVQ=null,e}return s(e,t),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i=this.baseChild.getBBox(),r=u([this.subChild.getBBox(),this.supChild.getBBox()],2),n=r[0],o=r[1];t.empty(),t.append(i);var s=this.getBaseWidth(),h=this.getAdjustedIc(),c=u(this.getUVQ(),2),a=c[0],l=c[1];t.combine(n,s,l),t.combine(o,s+h,a),t.w+=this.font.params.scriptspace,t.clean(),this.setChildPWidths(e)},e.prototype.getUVQ=function(t,e){void 0===t&&(t=this.subChild.getBBox()),void 0===e&&(e=this.supChild.getBBox());var i=this.baseCore.getBBox();if(this.UVQ)return this.UVQ;var r=this.font.params,n=3*r.rule_thickness,o=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub2),s=this.baseCharZero(i.d*this.baseScale+r.sub_drop*t.rscale),h=u([this.getU(),Math.max(s,o)],2),c=h[0],a=h[1],l=c-e.d*e.rscale-(t.h*t.rscale-a);if(l<n){a+=n-l;var p=.8*r.x_height-(c-e.d*e.rscale);p>0&&(c+=p,a-=p)}return c=Math.max(this.length2em(this.node.attributes.get(\"superscriptshift\"),c),c),a=Math.max(this.length2em(this.node.attributes.get(\"subscriptshift\"),a),a),l=c-e.d*e.rscale-(t.h*t.rscale-a),this.UVQ=[c,-a,l],this.UVQ},e}(t),e.useIC=!1,e}},\n      625: function _(t,e,r,n,o){var u,i=this&&this.__extends||(u=function(t,e){return u=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},u(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}u(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};n();var p=t(533),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msubsup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,n){var o=this.childNodes;o[0].setInheritedAttributes(t,e,r,n),o[1].setInheritedAttributes(t,!1,r+1,n||1===this.sub),o[2]&&o[2].setInheritedAttributes(t,!1,r+1,n||2===this.sub)},e.defaults=s(s({},p.AbstractMmlBaseNode.defaults),{subscriptshift:\"\",superscriptshift:\"\"}),e}(p.AbstractMmlBaseNode);r.MmlMsubsup=c;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msub\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsub=f;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsup=a},\n      626: function _(t,e,o,i,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),l=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var i,r,n=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(i=n.next()).done;)s.push(i.value)}catch(t){r={error:t}}finally{try{i&&!i.done&&(o=n.return)&&o.call(n)}finally{if(r)throw r.error}}return s};i();var a=t(621),h=t(627),p=t(627),u=t(627),c=t(628),d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineBelow?0:this.getDelta(!0),u=this.getUnderKV(a,h)[1],c=l(this.getDeltaW([a,h],[0,-p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMunder.prototype.kind,e}(h.CommonMunderMixin(a.SVGmsub));o.SVGmunder=d;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineAbove?0:this.getDelta(),u=this.getOverKU(a,h)[1],c=l(this.getDeltaW([a,h],[0,p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMover.prototype.kind,e}(p.CommonMoverMixin(a.SVGmsup));o.SVGmover=f;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.overChild,this.underChild],3),r=i[0],n=i[1],s=i[2],a=l([r.getBBox(),n.getBBox(),s.getBBox()],3),h=a[0],p=a[1],u=a[2];r.toSVG(o),s.toSVG(o),n.toSVG(o);var c=this.getDelta(),d=this.getOverKU(h,p)[1],f=this.getUnderKV(h,u)[1],v=l(this.getDeltaW([h,u,p],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),y=v[0],S=v[1],V=v[2];r.place(y,0),s.place(S,f),n.place(V,d)}},e.kind=c.MmlMunderover.prototype.kind,e}(u.CommonMunderoverMixin(a.SVGmsubsup));o.SVGmunderover=v},\n      627: function _(t,e,i,o,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,r,n=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){r={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return s},c=this&&this.__spreadArray||function(t,e){for(var i=0,o=e.length,r=t.length;i<o;i++,r++)t[r]=e[i];return t};o(),i.CommonMunderMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e,i){if(void 0===i&&(i=!1),this.hasMovableLimits())t.prototype.computeBBox.call(this,e,i);else{e.empty();var o=this.baseChild.getBBox(),r=this.scriptChild.getBBox(),n=this.getUnderKV(o,r)[1],s=this.isLineBelow?0:this.getDelta(!0),c=h(this.getDeltaW([o,r],[0,-s]),2),l=c[0],u=c[1];e.combine(o,l,0),e.combine(r,u,n),e.d+=this.font.params.big_op_spacing5,e.clean(),this.setChildPWidths(i)}},e}(t)},i.CommonMoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.baseChild.getBBox(),o=this.scriptChild.getBBox(),r=this.getOverKU(i,o)[1],n=this.isLineAbove?0:this.getDelta(),s=h(this.getDeltaW([i,o],[0,n]),2),c=s[0],l=s[1];e.combine(i,c,0),e.combine(o,l,r),e.h+=this.font.params.big_op_spacing5,e.clean()}},e}(t)},i.CommonMunderoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"underChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"overChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.underChild},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.overChild},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.overChild.getBBox(),o=this.baseChild.getBBox(),r=this.underChild.getBBox(),n=this.getOverKU(o,i)[1],s=this.getUnderKV(o,r)[1],c=this.getDelta(),l=h(this.getDeltaW([o,r,i],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),u=l[0],a=l[1],p=l[2];e.combine(o,u,0),e.combine(i,p,n),e.combine(r,a,s);var f=this.font.params.big_op_spacing5;e.h+=f,e.d+=f,e.clean()}},e}(t)}},\n      628: function _(e,t,r,n,i){var o,u=this&&this.__extends||(o=function(e,t){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},o(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}o(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(e){for(var t,r=1,n=arguments.length;r<n;r++)for(var i in t=arguments[r])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e},c.apply(this,arguments)};n();var a=e(533),l=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munderover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),t.prototype.setChildInheritedAttributes=function(e,t,r,n){var i=this.childNodes;i[0].setInheritedAttributes(e,t,r,n||!!i[this.over]);var o=!(t||!i[0].coreMO().attributes.get(\"movablelimits\")),u=this.constructor.ACCENTS;i[1].setInheritedAttributes(e,!1,this.getScriptlevel(u[1],o,r),n||1===this.under),this.setInheritedAccent(1,u[1],t,r,n,o),i[2]&&(i[2].setInheritedAttributes(e,!1,this.getScriptlevel(u[2],o,r),n||2===this.under),this.setInheritedAccent(2,u[2],t,r,n,o))},t.prototype.getScriptlevel=function(e,t,r){return!t&&this.attributes.get(e)||r++,r},t.prototype.setInheritedAccent=function(e,t,r,n,i,o){var u=this.childNodes[e];if(null==this.attributes.getExplicit(t)&&u.isEmbellished){var c=u.coreMO().attributes.get(\"accent\");this.attributes.setInherited(t,c),c!==this.attributes.getDefault(t)&&u.setInheritedAttributes({},r,this.getScriptlevel(t,o,n),i)}},t.defaults=c(c({},a.AbstractMmlBaseNode.defaults),{accent:!1,accentunder:!1,align:\"center\"}),t.ACCENTS=[\"\",\"accentunder\",\"accent\"],t}(a.AbstractMmlBaseNode);r.MmlMunderover=l;var s=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munder\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t}(l);r.MmlMunder=s;var p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"mover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t.ACCENTS=[\"\",\"accent\",\"accentunder\"],t}(l);r.MmlMover=p},\n      629: function _(t,r,i,o,e){var n,s=this&&this.__extends||(n=function(t,r){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var i in r)Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i])},n(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,r),t.prototype=null===r?Object.create(r):(i.prototype=r.prototype,new i)}),p=this&&this.__read||function(t,r){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,e,n=i.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){e={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return s};o();var c=t(621),a=t(630),u=t(631),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),i=this.scriptData,o=this.combinePrePost(i.sub,i.psub),e=this.combinePrePost(i.sup,i.psup),n=p(this.getUVQ(o,e),2),s=n[0],c=n[1],a=0;i.numPrescripts&&(a=this.addScripts(.05,s,c,!0,this.firstPrescript,i.numPrescripts));var u=this.baseChild;u.toSVG(r),u.place(a,0),a+=u.getBBox().w,i.numScripts&&this.addScripts(a,s,c,!1,1,i.numScripts)},r.prototype.addScripts=function(t,r,i,o,e,n){var s=this.adaptor,c=s.append(this.element,this.svg(\"g\")),a=s.append(this.element,this.svg(\"g\"));this.place(t,r,c),this.place(t,i,a);for(var u=e+2*n,l=0;e<u;){var h=p([this.childNodes[e++],this.childNodes[e++]],2),f=h[0],d=h[1],y=p([f.getBBox(),d.getBBox()],2),m=y[0],v=y[1],S=p([m.rscale,v.rscale],2),_=S[0],b=S[1],w=Math.max(m.w*_,v.w*b);f.toSVG(a),d.toSVG(c),f.place(l+(o?w-m.w*_:0),0),d.place(l+(o?w-v.w*b:0),0),l+=w}return t+l},r.kind=u.MmlMmultiscripts.prototype.kind,r}(a.CommonMmultiscriptsMixin(c.SVGmsubsup));i.SVGmmultiscripts=l},\n      630: function _(t,s,i,r,e){var n,o=this&&this.__extends||(n=function(t,s){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,s){t.__proto__=s}||function(t,s){for(var i in s)Object.prototype.hasOwnProperty.call(s,i)&&(t[i]=s[i])},n(t,s)},function(t,s){if(\"function\"!=typeof s&&null!==s)throw new TypeError(\"Class extends value \"+String(s)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,s),t.prototype=null===s?Object.create(s):(i.prototype=s.prototype,new i)}),p=this&&this.__read||function(t,s){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,e,n=i.call(t),o=[];try{for(;(void 0===s||s-- >0)&&!(r=n.next()).done;)o.push(r.value)}catch(t){e={error:t}}finally{try{r&&!r.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return o},u=this&&this.__spreadArray||function(t,s){for(var i=0,r=s.length,e=t.length;i<r;i++,e++)t[e]=s[i];return t},a=this&&this.__values||function(t){var s=\"function\"==typeof Symbol&&Symbol.iterator,i=s&&t[s],r=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(s?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var c=t(577);i.NextScript={base:\"subList\",subList:\"supList\",supList:\"subList\",psubList:\"psupList\",psupList:\"psubList\"},i.ScriptNames=[\"sup\",\"sup\",\"psup\",\"psub\"],i.CommonMmultiscriptsMixin=function(t){return function(t){function s(){for(var s=[],i=0;i<arguments.length;i++)s[i]=arguments[i];var r=t.apply(this,u([],p(s)))||this;return r.scriptData=null,r.firstPrescript=0,r.getScriptData(),r}return o(s,t),s.prototype.combinePrePost=function(t,s){var i=new c.BBox(t);return i.combine(s,0,0),i},s.prototype.computeBBox=function(t,s){void 0===s&&(s=!1);var i=this.font.params.scriptspace,r=this.scriptData,e=this.combinePrePost(r.sub,r.psub),n=this.combinePrePost(r.sup,r.psup),o=p(this.getUVQ(e,n),2),u=o[0],a=o[1];if(t.empty(),r.numPrescripts&&(t.combine(r.psup,i,u),t.combine(r.psub,i,a)),t.append(r.base),r.numScripts){var c=t.w;t.combine(r.sup,c,u),t.combine(r.sub,c,a),t.w+=i}t.clean(),this.setChildPWidths(s)},s.prototype.getScriptData=function(){var t=this.scriptData={base:null,sub:c.BBox.empty(),sup:c.BBox.empty(),psub:c.BBox.empty(),psup:c.BBox.empty(),numPrescripts:0,numScripts:0},s=this.getScriptBBoxLists();this.combineBBoxLists(t.sub,t.sup,s.subList,s.supList),this.combineBBoxLists(t.psub,t.psup,s.psubList,s.psupList),t.base=s.base[0],t.numPrescripts=s.psubList.length,t.numScripts=s.subList.length},s.prototype.getScriptBBoxLists=function(){var t,s,r={base:[],subList:[],supList:[],psubList:[],psupList:[]},e=\"base\";try{for(var n=a(this.childNodes),o=n.next();!o.done;o=n.next()){var p=o.value;p.node.isKind(\"mprescripts\")?e=\"psubList\":(r[e].push(p.getBBox()),e=i.NextScript[e])}}catch(s){t={error:s}}finally{try{o&&!o.done&&(s=n.return)&&s.call(n)}finally{if(t)throw t.error}}return this.firstPrescript=r.subList.length+r.supList.length+2,this.padLists(r.subList,r.supList),this.padLists(r.psubList,r.psupList),r},s.prototype.padLists=function(t,s){t.length>s.length&&s.push(c.BBox.empty())},s.prototype.combineBBoxLists=function(t,s,i,r){for(var e=0;e<i.length;e++){var n=p(this.getScaledWHD(i[e]),3),o=n[0],u=n[1],a=n[2],c=p(this.getScaledWHD(r[e]),3),h=c[0],l=c[1],b=c[2],f=Math.max(o,h);t.w+=f,s.w+=f,u>t.h&&(t.h=u),a>t.d&&(t.d=a),l>s.h&&(s.h=l),b>s.d&&(s.d=b)}},s.prototype.getScaledWHD=function(t){var s=t.w,i=t.h,r=t.d,e=t.rscale;return[s*e,i*e,r*e]},s.prototype.getUVQ=function(s,i){var r;if(!this.UVQ){var e=p([0,0,0],3),n=e[0],o=e[1],u=e[2];0===s.h&&0===s.d?n=this.getU():0===i.h&&0===i.d?n=-this.getV():(n=(r=p(t.prototype.getUVQ.call(this,s,i),3))[0],o=r[1],u=r[2]),this.UVQ=[n,o,u]}return this.UVQ},s}(t)}},\n      631: function _(t,e,r,i,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},c.apply(this,arguments)};i();var u=t(533),l=t(625),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mmultiscripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,i){this.childNodes[0].setInheritedAttributes(t,e,r,i);for(var n=!1,o=1,s=0;o<this.childNodes.length;o++){var c=this.childNodes[o];if(c.isKind(\"mprescripts\")){if(!n&&(n=!0,o%2==0)){var u=this.factory.create(\"mrow\");this.childNodes.splice(o,0,u),u.parent=this,o++}}else{var l=i||s%2==0;c.setInheritedAttributes(t,!1,r+1,l),s++}}this.childNodes.length%2==(n?1:0)&&(this.appendChild(this.factory.create(\"mrow\")),this.childNodes[this.childNodes.length-1].setInheritedAttributes(t,!1,r+1,i))},e.prototype.verifyChildren=function(e){for(var r=!1,i=e.fixMmultiscripts,n=0;n<this.childNodes.length;n++){var o=this.childNodes[n];o.isKind(\"mprescripts\")&&(r?o.mError(o.kind+\" can only appear once in \"+this.kind,e,!0):(r=!0,n%2!=0||i||this.mError(\"There must be an equal number of prescripts of each type\",e)))}this.childNodes.length%2!=(r?1:0)||i||this.mError(\"There must be an equal number of scripts of each type\",e),t.prototype.verifyChildren.call(this,e)},e.defaults=c({},l.MmlMsubsup.defaults),e}(l.MmlMsubsup);r.MmlMmultiscripts=p;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mprescripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMprescripts=a;var h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"none\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlNone=h},\n      632: function _(t,e,i,s,a){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var s,a,n=i.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(s=n.next()).done;)o.push(s.value)}catch(t){a={error:t}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(a)throw a.error}}return o},r=this&&this.__spreadArray||function(t,e){for(var i=0,s=e.length,a=t.length;i<s;i++,a++)t[a]=e[i];return t};s();var l=t(574),d=t(633),p=t(635),f=function(t){function e(e,i,s){void 0===s&&(s=null);var a=t.call(this,e,i,s)||this,n={\"data-labels\":!0};return a.isTop&&(n.transform=\"matrix(1 0 0 -1 0 0)\"),a.labels=a.svg(\"g\",n),a}return o(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeRows(e),this.handleColumnLines(e),this.handleRowLines(e),this.handleFrame(e);var i=this.handlePWidth(e);this.handleLabels(e,t,i)},e.prototype.placeRows=function(t){for(var e,i,s,a=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),o=n.H,l=n.D,d=this.getEqualRowHeight(),p=this.getRowHalfSpacing(),f=r(r([this.fLine],h(this.rLines)),[this.fLine]),c=this.getBBox().h-f[0],g=0;g<this.numRows;g++){var u=this.childNodes[g];e=h(this.getRowHD(a,d,o[g],l[g]),2),u.H=e[0],u.D=e[1],i=h([p[g],p[g+1]],2),u.tSpace=i[0],u.bSpace=i[1],s=h([f[g],f[g+1]],2),u.tLine=s[0],u.bLine=s[1],u.toSVG(t),u.place(0,c-p[g]-u.H),c-=p[g]+u.H+u.D+p[g+1]+f[g+1]}},e.prototype.getRowHD=function(t,e,i,s){return t?[(e+i-s)/2,(e-i+s)/2]:[i,s]},e.prototype.handleColor=function(){t.prototype.handleColor.call(this);var e=this.firstChild();e&&this.adaptor.setAttribute(e,\"width\",this.fixed(this.getWidth()))},e.prototype.handleColumnLines=function(t){if(\"none\"!==this.node.attributes.get(\"columnlines\")){var e=this.getColumnAttributes(\"columnlines\");if(e)for(var i=this.getColumnHalfSpacing(),s=this.cLines,a=this.getComputedWidths(),n=this.fLine,o=0;o<e.length;o++)n+=i[o]+a[o]+i[o+1],\"none\"!==e[o]&&this.adaptor.append(t,this.makeVLine(n,e[o],s[o])),n+=s[o]}},e.prototype.handleRowLines=function(t){if(\"none\"!==this.node.attributes.get(\"rowlines\")){var e=this.getRowAttributes(\"rowlines\");if(e)for(var i=this.node.attributes.get(\"equalrows\"),s=this.getTableData(),a=s.H,n=s.D,o=this.getEqualRowHeight(),r=this.getRowHalfSpacing(),l=this.rLines,d=this.getBBox().h-this.fLine,p=0;p<e.length;p++){var f=h(this.getRowHD(i,o,a[p],n[p]),2),c=f[0],g=f[1];d-=r[p]+c+g+r[p+1],\"none\"!==e[p]&&this.adaptor.append(t,this.makeHLine(d,e[p],l[p])),d-=l[p]}}},e.prototype.handleFrame=function(t){if(this.frame&&this.fLine){var e=this.getBBox(),i=e.h,s=e.d,a=e.w,n=this.node.attributes.get(\"frame\");this.adaptor.append(t,this.makeFrame(a,i,s,n))}},e.prototype.handlePWidth=function(t){if(!this.pWidth)return 0;var e=this.getBBox(),i=e.w,s=e.L,a=e.R,n=s+this.pWidth+a,o=this.getAlignShift()[0],h=Math.max(this.isTop?n:0,this.container.getWrapWidth(this.containerI))-s-a,r=i-(this.pWidth>h?h:this.pWidth),l=\"left\"===o?0:\"right\"===o?r:r/2;if(l){var d=this.svg(\"g\",{},this.adaptor.childNodes(t));this.place(l,0,d),this.adaptor.append(t,d)}return l},e.prototype.lineClass=function(t){return\"mjx-\"+t},e.prototype.makeFrame=function(t,e,i,s){var a=this.fLine;return this.svg(\"rect\",this.setLineThickness(a,s,{\"data-frame\":!0,class:this.lineClass(s),width:this.fixed(t-a),height:this.fixed(e+i-a),x:this.fixed(a/2),y:this.fixed(a/2-i)}))},e.prototype.makeVLine=function(t,e,i){var s=this.getBBox(),a=s.h,n=s.d,o=\"dotted\"===e?i/2:0,h=this.fixed(t+i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"v\",class:this.lineClass(e),x1:h,y1:this.fixed(o-n),x2:h,y2:this.fixed(a-o)}))},e.prototype.makeHLine=function(t,e,i){var s=this.getBBox().w,a=\"dotted\"===e?i/2:0,n=this.fixed(t-i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"h\",class:this.lineClass(e),x1:this.fixed(a),y1:n,x2:this.fixed(s-a),y2:n}))},e.prototype.setLineThickness=function(t,e,i){return.07!==t&&(i[\"stroke-thickness\"]=this.fixed(t),\"solid\"!==e&&(i[\"stroke-dasharray\"]=(\"dotted\"===e?\"0,\":\"\")+this.fixed(2*t))),i},e.prototype.handleLabels=function(t,e,i){if(this.hasLabels){var s=this.labels,a=this.node.attributes.get(\"side\");this.spaceLabels(),this.isTop?this.topTable(t,s,a):this.subTable(t,s,a,i)}},e.prototype.spaceLabels=function(){for(var t=this.adaptor,e=this.getBBox().h,i=this.getTableData().L,s=this.getRowHalfSpacing(),a=e-this.fLine,n=t.firstChild(this.labels),o=0;o<this.numRows;o++){var h=this.childNodes[o];if(h.node.isKind(\"mlabeledtr\")){var r=h.childNodes[0];a-=s[o]+h.H,h.placeCell(r,{x:0,y:a,w:i,lSpace:0,rSpace:0,lLine:0,rLine:0}),a-=h.D+s[o+1]+this.rLines[o],n=t.next(n)}else a-=s[o]+h.H+h.D+s[o+1]+this.rLines[o]}},e.prototype.topTable=function(t,e,i){var s=this.adaptor,a=this.getBBox(),n=a.h,o=a.d,r=a.w,l=a.L,d=a.R,p=l+(this.pWidth||r)+d,f=this.getTableData().L,c=h(this.getPadAlignShift(i),3),g=c[1],u=c[2]+(\"right\"===g?-p:\"center\"===g?-p/2:0)+l,x=\"matrix(1 0 0 -1 0 0)\",m=\"scale(\"+this.jax.fixed(1e3*this.font.params.x_height/this.metrics.ex,2)+\")\",v=\"translate(0 \"+this.fixed(n)+\") \"+x+\" \"+m,b=this.svg(\"svg\",{\"data-table\":!0,preserveAspectRatio:\"left\"===g?\"xMinYMid\":\"right\"===g?\"xMaxYMid\":\"xMidYMid\",viewBox:[this.fixed(-u),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[this.svg(\"g\",{transform:x},s.childNodes(t))]);e=this.svg(\"svg\",{\"data-labels\":!0,preserveAspectRatio:\"left\"===i?\"xMinYMid\":\"xMaxYMid\",viewBox:[\"left\"===i?0:this.fixed(f),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[e]),s.append(t,this.svg(\"g\",{transform:v},[b,e])),this.place(-l,0,t)},e.prototype.subTable=function(t,e,i,s){var a=this.adaptor,n=this.getBBox(),o=n.w,h=n.L,r=n.R,l=h+(this.pWidth||o)+r,d=this.getTableData().L,p=this.getAlignShift()[0],f=Math.max(l,this.container.getWrapWidth(this.containerI));this.place(\"left\"===i?(\"left\"===p?0:\"right\"===p?l-f+s:(l-f)/2+s)-h:(\"left\"===p?f:\"right\"===p?l+s:(f+l)/2+s)-h-d,0,e),a.append(t,e)},e.kind=p.MmlMtable.prototype.kind,e.styles={'g[data-mml-node=\"mtable\"] > line[data-line], svg[data-table] > g > line[data-line]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > rect[data-frame], svg[data-table] > g > rect[data-frame]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > .mjx-dashed, svg[data-table] > g > .mjx-dashed':{\"stroke-dasharray\":\"140\"},'g[data-mml-node=\"mtable\"] > .mjx-dotted, svg[data-table] > g > .mjx-dotted':{\"stroke-linecap\":\"round\",\"stroke-dasharray\":\"0,140\"},'g[data-mml-node=\"mtable\"] > g > svg':{overflow:\"visible\"}},e}(d.CommonMtableMixin(l.SVGWrapper));i.SVGmtable=f},\n      633: function _(t,e,i,n,r){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var n,r,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(i=o.return)&&i.call(o)}finally{if(r)throw r.error}}return s},h=this&&this.__spreadArray||function(t,e){for(var i=0,n=e.length,r=t.length;i<n;i++,r++)t[r]=e[i];return t},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,i=e&&t[e],n=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(577),c=t(530),f=t(634);i.CommonMtableMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var n=t.apply(this,h([],a(e)))||this;n.numCols=0,n.numRows=0,n.data=null,n.pwidthCells=[],n.pWidth=0,n.numCols=f.max(n.tableRows.map((function(t){return t.numCells}))),n.numRows=n.childNodes.length,n.hasLabels=n.childNodes.reduce((function(t,e){return t||e.node.isKind(\"mlabeledtr\")}),!1),n.findContainer(),n.isTop=!n.container||n.container.node.isKind(\"math\")&&!n.container.parent,n.isTop&&(n.jax.table=n),n.getPercentageWidth();var r=n.node.attributes;return n.frame=\"none\"!==r.get(\"frame\"),n.fLine=n.frame&&r.get(\"frame\")?.07:0,n.fSpace=n.frame?n.convertLengths(n.getAttributeArray(\"framespacing\")):[0,0],n.cSpace=n.convertLengths(n.getColumnAttributes(\"columnspacing\")),n.rSpace=n.convertLengths(n.getRowAttributes(\"rowspacing\")),n.cLines=n.getColumnAttributes(\"columnlines\").map((function(t){return\"none\"===t?0:.07})),n.rLines=n.getRowAttributes(\"rowlines\").map((function(t){return\"none\"===t?0:.07})),n.cWidths=n.getColumnWidths(),n.stretchRows(),n.stretchColumns(),n}return s(e,t),Object.defineProperty(e.prototype,\"tableRows\",{get:function(){return this.childNodes},enumerable:!1,configurable:!0}),e.prototype.findContainer=function(){for(var t=this,e=t.parent;e&&(e.node.notParent||e.node.isKind(\"mrow\"));)t=e,e=e.parent;this.container=e,this.containerI=t.node.childPosition()},e.prototype.getPercentageWidth=function(){if(this.hasLabels)this.bbox.pwidth=u.BBox.fullWidth;else{var t=this.node.attributes.get(\"width\");c.isPercent(t)&&(this.bbox.pwidth=t)}},e.prototype.stretchRows=function(){for(var t=this.node.attributes.get(\"equalrows\"),e=t?this.getEqualRowHeight():0,i=t?this.getTableData():{H:[0],D:[0]},n=i.H,r=i.D,o=this.tableRows,s=0;s<this.numRows;s++){var a=t?[(e+n[s]-r[s])/2,(e-n[s]+r[s])/2]:null;o[s].stretchChildren(a)}},e.prototype.stretchColumns=function(){for(var t=0;t<this.numCols;t++){var e=\"number\"==typeof this.cWidths[t]?this.cWidths[t]:null;this.stretchColumn(t,e)}},e.prototype.stretchColumn=function(t,e){var i,n,r,o,s,a,h=[];try{for(var u=l(this.tableRows),c=u.next();!c.done;c=u.next()){if(y=c.value.getChild(t))0===(C=y.childNodes[0]).stretch.dir&&C.canStretch(2)&&h.push(C)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(n=u.return)&&n.call(u)}finally{if(i)throw i.error}}var f=h.length,p=this.childNodes.length;if(f&&p>1){if(null===e){e=0;var d=f>1&&f===p;try{for(var g=l(this.tableRows),m=g.next();!m.done;m=g.next()){var y;if(y=m.value.getChild(t)){var v=0===(C=y.childNodes[0]).stretch.dir;if(d||v){var b=C.getBBox(v).w;b>e&&(e=b)}}}}catch(t){r={error:t}}finally{try{m&&!m.done&&(o=g.return)&&o.call(g)}finally{if(r)throw r.error}}}try{for(var w=l(h),x=w.next();!x.done;x=w.next()){var C;(C=x.value).coreMO().getStretchedVariant([e])}}catch(t){s={error:t}}finally{try{x&&!x.done&&(a=w.return)&&a.call(w)}finally{if(s)throw s.error}}}},e.prototype.getTableData=function(){if(this.data)return this.data;for(var t=new Array(this.numRows).fill(0),e=new Array(this.numRows).fill(0),i=new Array(this.numCols).fill(0),n=new Array(this.numRows),r=new Array(this.numRows),o=[0],s=this.tableRows,a=0;a<s.length;a++){for(var h=0,l=s[a],u=l.node.attributes.get(\"rowalign\"),c=0;c<l.numCells;c++){var f=l.getChild(c);h=this.updateHDW(f,c,a,u,t,e,i,h),this.recordPWidthCell(f,c)}n[a]=t[a],r[a]=e[a],l.labeled&&(h=this.updateHDW(l.childNodes[0],0,a,u,t,e,o,h)),this.extendHD(a,t,e,h),this.extendHD(a,n,r,h)}var p=o[0];return this.data={H:t,D:e,W:i,NH:n,ND:r,L:p},this.data},e.prototype.updateHDW=function(t,e,i,n,r,o,s,a){var h=t.getBBox(),l=h.h,u=h.d,c=h.w,f=t.parent.bbox.rscale;1!==t.parent.bbox.rscale&&(l*=f,u*=f,c*=f),this.node.getProperty(\"useHeight\")&&(l<.75&&(l=.75),u<.25&&(u=.25));var p=0;return\"baseline\"!==(n=t.node.attributes.get(\"rowalign\")||n)&&\"axis\"!==n&&(p=l+u,l=u=0),l>r[i]&&(r[i]=l),u>o[i]&&(o[i]=u),p>a&&(a=p),s&&c>s[e]&&(s[e]=c),a},e.prototype.extendHD=function(t,e,i,n){var r=(n-(e[t]+i[t]))/2;r<1e-5||(e[t]+=r,i[t]+=r)},e.prototype.recordPWidthCell=function(t,e){t.childNodes[0]&&t.childNodes[0].getBBox().pwidth&&this.pwidthCells.push([t,e])},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i,n,r=this.getTableData(),o=r.H,s=r.D;if(this.node.attributes.get(\"equalrows\")){var h=this.getEqualRowHeight();i=f.sum([].concat(this.rLines,this.rSpace))+h*this.numRows}else i=f.sum(o.concat(s,this.rLines,this.rSpace));i+=2*(this.fLine+this.fSpace[1]);var l=this.getComputedWidths();n=f.sum(l.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]);var u=this.node.attributes.get(\"width\");\"auto\"!==u&&(n=Math.max(this.length2em(u,0)+2*this.fLine,n));var p=a(this.getBBoxHD(i),2),d=p[0],g=p[1];t.h=d,t.d=g,t.w=n;var m=a(this.getBBoxLR(),2),y=m[0],v=m[1];t.L=y,t.R=v,c.isPercent(u)||this.setColumnPWidths()},e.prototype.setChildPWidths=function(t,e,i){var n=this.node.attributes.get(\"width\");if(!c.isPercent(n))return!1;this.hasLabels||(this.bbox.pwidth=\"\",this.container.bbox.pwidth=\"\");var r=this.bbox,o=r.w,s=r.L,a=r.R,h=this.node.attributes.get(\"data-width-includes-label\"),l=Math.max(o,this.length2em(n,Math.max(e,s+o+a)))-(h?s+a:0),u=this.node.attributes.get(\"equalcolumns\")?Array(this.numCols).fill(this.percent(1/Math.max(1,this.numCols))):this.getColumnAttributes(\"columnwidth\",0);this.cWidths=this.getColumnWidthsFixed(u,l);var p=this.getComputedWidths();return this.pWidth=f.sum(p.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]),this.isTop&&(this.bbox.w=this.pWidth),this.setColumnPWidths(),this.pWidth!==o&&this.parent.invalidateBBox(),this.pWidth!==o},e.prototype.setColumnPWidths=function(){var t,e,i=this.cWidths;try{for(var n=l(this.pwidthCells),r=n.next();!r.done;r=n.next()){var o=a(r.value,2),s=o[0],h=o[1];s.setChildPWidths(!1,i[h])&&(s.invalidateBBox(),s.getBBox())}}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},e.prototype.getBBoxHD=function(t){var e=a(this.getAlignmentRow(),2),i=e[0],n=e[1];if(null===n){var r=this.font.params.axis_height,o=t/2;return{top:[0,t],center:[o,o],bottom:[t,0],baseline:[o,o],axis:[o+r,o-r]}[i]||[o,o]}var s=this.getVerticalPosition(n,i);return[s,t-s]},e.prototype.getBBoxLR=function(){if(this.hasLabels){var t=this.node.attributes,e=t.get(\"side\"),i=a(this.getPadAlignShift(e),2),n=i[0],r=i[1],o=this.hasLabels&&!!t.get(\"data-width-includes-label\");return o&&this.frame&&this.fSpace[0]&&(n-=this.fSpace[0]),\"center\"!==r||o?\"left\"===e?[n,0]:[0,n]:[n,n]}return[0,0]},e.prototype.getPadAlignShift=function(t){var e=this.getTableData().L+this.length2em(this.node.attributes.get(\"minlabelspacing\")),i=a(null==this.styles?[\"\",\"\"]:[this.styles.get(\"padding-left\"),this.styles.get(\"padding-right\")],2),n=i[0],r=i[1];(n||r)&&(e=Math.max(e,this.length2em(n||\"0\"),this.length2em(r||\"0\")));var o=a(this.getAlignShift(),2),s=o[0],h=o[1];return s===t&&(h=\"left\"===t?Math.max(e,h)-e:Math.min(-e,h)+e),[e,s,h]},e.prototype.getAlignShift=function(){return this.isTop?t.prototype.getAlignShift.call(this):[this.container.getChildAlign(this.containerI),0]},e.prototype.getWidth=function(){return this.pWidth||this.getBBox().w},e.prototype.getEqualRowHeight=function(){var t=this.getTableData(),e=t.H,i=t.D,n=Array.from(e.keys()).map((function(t){return e[t]+i[t]}));return Math.max.apply(Math,n)},e.prototype.getComputedWidths=function(){var t=this,e=this.getTableData().W,i=Array.from(e.keys()).map((function(i){return\"number\"==typeof t.cWidths[i]?t.cWidths[i]:e[i]}));return this.node.attributes.get(\"equalcolumns\")&&(i=Array(i.length).fill(f.max(i))),i},e.prototype.getColumnWidths=function(){var t=this.node.attributes.get(\"width\");if(this.node.attributes.get(\"equalcolumns\"))return this.getEqualColumns(t);var e=this.getColumnAttributes(\"columnwidth\",0);return\"auto\"===t?this.getColumnWidthsAuto(e):c.isPercent(t)?this.getColumnWidthsPercent(e):this.getColumnWidthsFixed(e,this.length2em(t))},e.prototype.getEqualColumns=function(t){var e,i=Math.max(1,this.numCols);if(\"auto\"===t){var n=this.getTableData().W;e=f.max(n)}else if(c.isPercent(t))e=this.percent(1/i);else{var r=f.sum([].concat(this.cLines,this.cSpace))+2*this.fSpace[0];e=Math.max(0,this.length2em(t)-r)/i}return Array(this.numCols).fill(e)},e.prototype.getColumnWidthsAuto=function(t){var e=this;return t.map((function(t){return\"auto\"===t||\"fit\"===t?null:c.isPercent(t)?t:e.length2em(t)}))},e.prototype.getColumnWidthsPercent=function(t){var e=this,i=t.indexOf(\"fit\")>=0,n=(i?this.getTableData():{W:null}).W;return Array.from(t.keys()).map((function(r){var o=t[r];return\"fit\"===o?null:\"auto\"===o?i?n[r]:null:c.isPercent(o)?o:e.length2em(o)}))},e.prototype.getColumnWidthsFixed=function(t,e){var i=this,n=Array.from(t.keys()),r=n.filter((function(e){return\"fit\"===t[e]})),o=n.filter((function(e){return\"auto\"===t[e]})),s=r.length||o.length,a=(s?this.getTableData():{W:null}).W,h=e-f.sum([].concat(this.cLines,this.cSpace))-2*this.fSpace[0],l=h;n.forEach((function(e){var n=t[e];l-=\"fit\"===n||\"auto\"===n?a[e]:i.length2em(n,h)}));var u=s&&l>0?l/s:0;return n.map((function(e){var n=t[e];return\"fit\"===n?a[e]+u:\"auto\"===n?a[e]+(0===r.length?u:0):i.length2em(n,h)}))},e.prototype.getVerticalPosition=function(t,e){for(var i=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),r=n.H,o=n.D,s=i?this.getEqualRowHeight():0,h=this.getRowHalfSpacing(),l=this.fLine,u=0;u<t;u++)l+=h[u]+(i?s:r[u]+o[u])+h[u+1]+this.rLines[u];var c=a(i?[(s+r[t]-o[t])/2,(s-r[t]+o[t])/2]:[r[t],o[t]],2),f=c[0],p=c[1];return l+={top:0,center:h[t]+(f+p)/2,bottom:h[t]+f+p+h[t+1],baseline:h[t]+f,axis:h[t]+f-.25}[e]||0},e.prototype.getEmHalfSpacing=function(t,e,i){void 0===i&&(i=1);var n=this.em(t*i),r=this.addEm(e,2/i);return r.unshift(n),r.push(n),r},e.prototype.getRowHalfSpacing=function(){var t=this.rSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[1]),t.push(this.fSpace[1]),t},e.prototype.getColumnHalfSpacing=function(){var t=this.cSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[0]),t.push(this.fSpace[0]),t},e.prototype.getAlignmentRow=function(){var t=a(c.split(this.node.attributes.get(\"align\")),2),e=t[0],i=t[1];if(null==i)return[e,null];var n=parseInt(i);return n<0&&(n+=this.numRows+1),[e,n<1||n>this.numRows?null:n-1]},e.prototype.getColumnAttributes=function(t,e){void 0===e&&(e=1);var i=this.numCols-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getRowAttributes=function(t,e){void 0===e&&(e=1);var i=this.numRows-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getAttributeArray=function(t){var e=this.node.attributes.get(t);return e?c.split(e):[this.node.attributes.getDefault(t)]},e.prototype.addEm=function(t,e){var i=this;return void 0===e&&(e=1),t?t.map((function(t){return i.em(t/e)})):null},e.prototype.convertLengths=function(t){var e=this;return t?t.map((function(t){return e.length2em(t)})):null},e}(t)}},\n      634: function _(n,u,r,t,e){t(),r.sum=function(n){return n.reduce((function(n,u){return n+u}),0)},r.max=function(n){return n.reduce((function(n,u){return Math.max(n,u)}),0)}},\n      635: function _(t,e,r,n,i){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(533),c=t(530),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.properties={useHeight:!0},e.texclass=u.TEXCLASS.ORD,e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mtable\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setInheritedAttributes=function(e,r,n,i){var o,l;try{for(var a=s(u.indentAttributes),c=a.next();!c.done;c=a.next()){var h=c.value;e[h]&&this.attributes.setInherited(h,e[h][1]),void 0!==this.attributes.getExplicit(h)&&delete this.attributes.getAllAttributes()[h]}}catch(t){o={error:t}}finally{try{c&&!c.done&&(l=a.return)&&l.call(a)}finally{if(o)throw o.error}}t.prototype.setInheritedAttributes.call(this,e,r,n,i)},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o,l,a;try{for(var u=s(this.childNodes),h=u.next();!h.done;h=u.next()){(b=h.value).isKind(\"mtr\")||this.replaceChild(this.factory.create(\"mtr\"),b).appendChild(b)}}catch(t){i={error:t}}finally{try{h&&!h.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}r=this.getProperty(\"scriptlevel\")||r,e=!(!this.attributes.getExplicit(\"displaystyle\")&&!this.attributes.getDefault(\"displaystyle\")),t=this.addInheritedAttributes(t,{columnalign:this.attributes.get(\"columnalign\"),rowalign:\"center\"});var f=this.attributes.getExplicit(\"data-cramped\"),p=c.split(this.attributes.get(\"rowalign\"));try{for(var d=s(this.childNodes),y=d.next();!y.done;y=d.next()){var b=y.value;t.rowalign[1]=p.shift()||t.rowalign[1],b.setInheritedAttributes(t,e,r,!!f)}}catch(t){l={error:t}}finally{try{y&&!y.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},e.prototype.verifyChildren=function(e){var r,n;if(!e.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){o.value.isKind(\"mtr\")||this.mError(\"Children of \"+this.kind+\" must be mtr or mlabeledtr\",e)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}t.prototype.verifyChildren.call(this,e)},e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.defaults=a(a({},u.AbstractMmlNode.defaults),{align:\"axis\",rowalign:\"baseline\",columnalign:\"center\",groupalign:\"{left}\",alignmentscope:!0,columnwidth:\"auto\",width:\"auto\",rowspacing:\"1ex\",columnspacing:\".8em\",rowlines:\"none\",columnlines:\"none\",frame:\"none\",framespacing:\"0.4em 0.5ex\",equalrows:!1,equalcolumns:!1,displaystyle:!1,side:\"right\",minlabelspacing:\"0.8em\"}),e}(u.AbstractMmlNode);r.MmlMtable=h},\n      636: function _(t,e,r,i,n){var o,l=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,n,o=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(i=o.next()).done;)l.push(i.value)}catch(t){n={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(n)throw n.error}}return l},s=this&&this.__spreadArray||function(t,e){for(var r=0,i=e.length,n=t.length;r<i;r++,n++)t[n]=e[r];return t};i();var p=t(574),h=t(637),c=t(637),u=t(638),f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeCells(e),this.placeColor()},e.prototype.placeCells=function(t){for(var e=this.parent.getColumnHalfSpacing(),r=s(s([this.parent.fLine],a(this.parent.cLines)),[this.parent.fLine]),i=this.parent.getComputedWidths(),n=1/this.getBBox().rscale,o=r[0],l=0;l<this.numCells;l++){var p=this.getChild(l);p.toSVG(t),o+=this.placeCell(p,{x:o,y:0,lSpace:e[l]*n,rSpace:e[l+1]*n,w:i[l]*n,lLine:r[l]*n,rLine:r[l+1]*n})}},e.prototype.placeCell=function(t,e){var r=e.x,i=e.y,n=e.lSpace,o=e.w,l=e.rSpace,s=e.lLine,p=e.rLine,h=1/this.getBBox().rscale,c=a([this.H*h,this.D*h],2),u=c[0],f=c[1],d=a([this.tSpace*h,this.bSpace*h],2),y=d[0],S=d[1],b=a(t.placeCell(r+n,i,o,u,f),2),v=b[0],C=b[1],_=n+o+l;return t.placeColor(-(v+n+s/2),-(f+S+C),_+(s+p)/2,u+f+y+S),_+p},e.prototype.placeColor=function(){var t=1/this.getBBox().rscale,e=this.adaptor,r=this.firstChild();if(r&&\"rect\"===e.kind(r)&&e.getAttribute(r,\"data-bgcolor\")){var i=a([this.tLine/2*t,this.bLine/2*t],2),n=i[0],o=i[1],l=a([this.tSpace*t,this.bSpace*t],2),s=l[0],p=l[1],h=a([this.H*t,this.D*t],2),c=h[0],u=h[1];e.setAttribute(r,\"y\",this.fixed(-(u+p+o))),e.setAttribute(r,\"width\",this.fixed(this.parent.getWidth()*t)),e.setAttribute(r,\"height\",this.fixed(n+s+c+u+p+o))}},e.kind=u.MmlMtr.prototype.kind,e}(h.CommonMtrMixin(p.SVGWrapper));r.SVGmtr=f;var d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(e){t.prototype.toSVG.call(this,e);var r=this.childNodes[0];r&&r.toSVG(this.parent.labels)},e.kind=u.MmlMlabeledtr.prototype.kind,e}(c.CommonMlabeledtrMixin(f));r.SVGmlabeledtr=d},\n      637: function _(e,t,r,n,o){var i,l=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),u=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n(),r.CommonMtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return 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x=j.getBBox(m),O=x.h,N=x.d;O>p&&(p=O),N>y&&(y=N)}}}catch(e){n={error:e}}finally{try{v&&!v.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}e=[p,y]}try{for(var _=u(c),C=_.next();!C.done;C=_.next()){var j;(j=C.value).coreMO().getStretchedVariant(e)}}catch(e){i={error:e}}finally{try{C&&!C.done&&(l=_.return)&&l.call(_)}finally{if(i)throw i.error}}}},t}(e)},r.CommonMlabeledtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return Math.max(0,this.childNodes.length-1)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"labeled\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"tableCells\",{get:function(){return this.childNodes.slice(1)},enumerable:!1,configurable:!0}),t.prototype.getChild=function(e){return this.childNodes[e+1]},t.prototype.getChildBBoxes=function(){return this.childNodes.slice(1).map((function(e){return e.getBBox()}))},t}(e)}},\n      638: function _(t,r,e,n,i){var o,l=this&&this.__extends||(o=function(t,r){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},o(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}o(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var r,e=1,n=arguments.length;e<n;e++)for(var i in r=arguments[e])Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],n=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(533),c=t(534),f=t(530),h=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),r.prototype.setChildInheritedAttributes=function(t,r,e,n){var i,o,l,a;try{for(var u=s(this.childNodes),c=u.next();!c.done;c=u.next()){(y=c.value).isKind(\"mtd\")||this.replaceChild(this.factory.create(\"mtd\"),y).appendChild(y)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}var h=f.split(this.attributes.get(\"columnalign\"));1===this.arity&&h.unshift(this.parent.attributes.get(\"side\")),t=this.addInheritedAttributes(t,{rowalign:this.attributes.get(\"rowalign\"),columnalign:\"center\"});try{for(var d=s(this.childNodes),p=d.next();!p.done;p=d.next()){var y=p.value;t.columnalign[1]=h.shift()||t.columnalign[1],y.setInheritedAttributes(t,r,e,n)}}catch(t){l={error:t}}finally{try{p&&!p.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},r.prototype.verifyChildren=function(r){var e,n;if(!this.parent||this.parent.isKind(\"mtable\")){if(!r.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){var l=o.value;if(!l.isKind(\"mtd\"))this.replaceChild(this.factory.create(\"mtr\"),l).mError(\"Children of \"+this.kind+\" must be mtd\",r,!0)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(e)throw e.error}}t.prototype.verifyChildren.call(this,r)}else this.mError(this.kind+\" can only be a child of an mtable\",r,!0)},r.prototype.setTeXclass=function(t){var r,e;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){r={error:t}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(r)throw r.error}}return this},r.defaults=a(a({},u.AbstractMmlNode.defaults),{rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),r}(u.AbstractMmlNode);e.MmlMtr=h;var d=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mlabeledtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),r}(h);e.MmlMlabeledtr=d},\n      639: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)});o();var a=t(574),u=t(640),p=t(641),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.placeCell=function(t,e,i,o,n){var r=this.getBBox(),s=Math.max(r.h,.75),a=Math.max(r.d,.25),u=this.node.attributes.get(\"columnalign\"),p=this.node.attributes.get(\"rowalign\"),c=this.getAlignX(i,r,u),l=this.getAlignY(o,n,s,a,p);return this.place(t+c,e+l),[c,l]},e.prototype.placeColor=function(t,e,i,o){var n=this.adaptor,r=this.firstChild();r&&\"rect\"===n.kind(r)&&n.getAttribute(r,\"data-bgcolor\")&&(n.setAttribute(r,\"x\",this.fixed(t)),n.setAttribute(r,\"y\",this.fixed(e)),n.setAttribute(r,\"width\",this.fixed(i)),n.setAttribute(r,\"height\",this.fixed(o)))},e.kind=p.MmlMtd.prototype.kind,e}(u.CommonMtdMixin(a.SVGWrapper));i.SVGmtd=c},\n      640: function _(t,n,o,e,r){var i,u=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});e(),o.CommonMtdMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return u(n,t),Object.defineProperty(n.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),n.prototype.invalidateBBox=function(){this.bboxComputed=!1},n.prototype.getWrapWidth=function(t){var n=this.parent.parent,o=this.parent,e=this.node.childPosition()-(o.labeled?1:0);return\"number\"==typeof n.cWidths[e]?n.cWidths[e]:n.getTableData().W[e]},n.prototype.getChildAlign=function(t){return this.node.attributes.get(\"columnalign\")},n}(t)}},\n      641: function _(t,e,n,r,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new 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this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.defaults=s(s({},l.AbstractMmlBaseNode.defaults),{rowspan:1,columnspan:1,rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),e}(l.AbstractMmlBaseNode);n.MmlMtd=u},\n      642: function _(t,e,o,n,i){var a,s=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)});n();var r=t(574),l=t(643),d=t(643),p=t(644),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t),o=this.selected,n=o.getBBox(),i=n.h,a=n.d,s=n.w;this.adaptor.append(this.element,this.svg(\"rect\",{width:this.fixed(s),height:this.fixed(i+a),y:this.fixed(-a),fill:\"none\",\"pointer-events\":\"all\"})),o.toSVG(e),this.action(this,this.data)},e.prototype.setEventHandler=function(t,e){this.element.addEventListener(t,e)},e.kind=p.MmlMaction.prototype.kind,e.styles={'[jax=\"SVG\"] mjx-tool':{display:\"inline-block\",position:\"relative\",width:0,height:0},'[jax=\"SVG\"] mjx-tool > mjx-tip':{position:\"absolute\",top:0,left:0},\"mjx-tool > mjx-tip\":{display:\"inline-block\",padding:\".2em\",border:\"1px solid #888\",\"font-size\":\"70%\",\"background-color\":\"#F8F8F8\",color:\"black\",\"box-shadow\":\"2px 2px 5px #AAAAAA\"},'g[data-mml-node=\"maction\"][data-toggle]':{cursor:\"pointer\"},\"mjx-status\":{display:\"block\",position:\"fixed\",left:\"1em\",bottom:\"1em\",\"min-width\":\"25%\",padding:\".2em .4em\",border:\"1px solid #888\",\"font-size\":\"90%\",\"background-color\":\"#F8F8F8\",color:\"black\"}},e.actions=new Map([[\"toggle\",[function(t,e){t.adaptor.setAttribute(t.element,\"data-toggle\",t.node.attributes.get(\"selection\"));var o=t.factory.jax.math,n=t.factory.jax.document,i=t.node;t.setEventHandler(\"click\",(function(t){o.end.node||(o.start.node=o.end.node=o.typesetRoot,o.start.n=o.end.n=0),i.nextToggleSelection(),o.rerender(n),t.stopPropagation()}))},{}]],[\"tooltip\",[function(t,e){var o=t.childNodes[1];if(o){var n=t.firstChild();if(o.node.isKind(\"mtext\")){var i=o.node.getText();t.adaptor.insert(t.svg(\"title\",{},[t.text(i)]),n)}else{var a=t.adaptor,s=t.jax.container,r=t.node.factory.create(\"math\",{},[t.childNodes[1].node]),l=t.html(\"mjx-tool\",{},[t.html(\"mjx-tip\")]),d=a.append(n,t.svg(\"foreignObject\",{style:{display:\"none\"}},[l]));t.jax.processMath(r,a.firstChild(l)),t.childNodes[1].node.parent=t.node,t.setEventHandler(\"mouseover\",(function(o){e.stopTimers(t,e),e.hoverTimer.set(t,setTimeout((function(){a.setStyle(l,\"left\",\"0\"),a.setStyle(l,\"top\",\"0\"),a.append(s,l);var e=a.nodeBBox(l),o=a.nodeBBox(t.element),n=(o.right-e.left)/t.metrics.em+t.dx,i=(o.bottom-e.bottom)/t.metrics.em+t.dy;a.setStyle(l,\"left\",t.px(n)),a.setStyle(l,\"top\",t.px(i))}),e.postDelay)),o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(o){e.stopTimers(t,e);var n=setTimeout((function(){return a.append(d,l)}),e.clearDelay);e.clearTimer.set(t,n),o.stopPropagation()}))}}},d.TooltipData]],[\"statusline\",[function(t,e){var o=t.childNodes[1];if(o&&o.node.isKind(\"mtext\")){var n=t.adaptor,i=o.node.getText();n.setAttribute(t.element,\"data-statusline\",i),t.setEventHandler(\"mouseover\",(function(o){if(null===e.status){var a=n.body(n.document);e.status=n.append(a,t.html(\"mjx-status\",{},[t.text(i)]))}o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(t){e.status&&(n.remove(e.status),e.status=null),t.stopPropagation()}))}},{status:null}]]]),e}(l.CommonMactionMixin(r.SVGWrapper));o.SVGmaction=c},\n      643: function _(t,e,r,o,n){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return a},c=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var l=t(530);r.TooltipData={dx:\".2em\",dy:\".1em\",postDelay:600,clearDelay:100,hoverTimer:new Map,clearTimer:new Map,stopTimers:function(t,e){e.clearTimer.has(t)&&(clearTimeout(e.clearTimer.get(t)),e.clearTimer.delete(t)),e.hoverTimer.has(t)&&(clearTimeout(e.hoverTimer.get(t)),e.hoverTimer.delete(t))}},r.CommonMactionMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,c([],s(e)))||this,n=o.constructor.actions,i=o.node.attributes.get(\"actiontype\"),a=s(n.get(i)||[function(t,e){},{}],2),l=a[0],u=a[1];return o.action=l,o.data=u,o.getParameters(),o}return a(e,t),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.node.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.wrap(this.node.selected)},enumerable:!1,configurable:!0}),e.prototype.getParameters=function(){var t=this.node.attributes.get(\"data-offsets\"),e=s(l.split(t||\"\"),2),o=e[0],n=e[1];this.dx=this.length2em(o||r.TooltipData.dx),this.dy=this.length2em(n||r.TooltipData.dy)},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.updateFrom(this.selected.getBBox()),this.selected.setChildPWidths(e)},e}(t)}},\n      644: function _(t,e,o,r,i){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,o=1,r=arguments.length;o<r;o++)for(var i in e=arguments[o])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},c.apply(this,arguments)};r();var l=t(533),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"maction\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.factory.create(\"mrow\")},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.selected.isEmbellished},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return this.selected.isSpacelike},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.selected.core()},e.prototype.coreMO=function(){return this.selected.coreMO()},e.prototype.verifyAttributes=function(e){(t.prototype.verifyAttributes.call(this,e),\"toggle\"!==this.attributes.get(\"actiontype\")&&void 0!==this.attributes.getExplicit(\"selection\"))&&delete this.attributes.getAllAttributes().selection},e.prototype.setTeXclass=function(t){\"tooltip\"===this.attributes.get(\"actiontype\")&&this.childNodes[1]&&this.childNodes[1].setTeXclass(null);var e=this.selected;return t=e.setTeXclass(t),this.updateTeXclass(e),t},e.prototype.nextToggleSelection=function(){var t=Math.max(1,this.attributes.get(\"selection\")+1);t>this.childNodes.length&&(t=1),this.attributes.set(\"selection\",t)},e.defaults=c(c({},l.AbstractMmlNode.defaults),{actiontype:\"toggle\",selection:1}),e}(l.AbstractMmlNode);o.MmlMaction=u},\n      645: function _(t,r,e,o,n){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 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l=h.value,f=this.notations[l];!f.renderChild&&f.renderer(this,o)}}catch(t){r={error:t}}finally{try{h&&!h.done&&(e=d.return)&&e.call(d)}finally{if(r)throw r.error}}},r.prototype.arrow=function(t,r,e,o,n){void 0===o&&(o=\"\"),void 0===n&&(n=0);var i=this.getBBox(),s=i.w,a=(t-s)/2,h=(i.h-i.d)/2,l=this.thickness,f=l/2,u=d([l*this.arrowhead.x,l*this.arrowhead.y,l*this.arrowhead.dx],3),p=u[0],c=u[1],x=u[2],g=e?this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",p-a,h+f,\"l\",x,c-f,\"l\",-(p+x),-c,\"l\",p+x,-c,\"l\",-x,c-f,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"):this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",-a,h+f,\"l\",0,-l,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"),v=[];if(n&&v.push(\"X\"===o?\"translate(\"+this.fixed(-n)+\" 0)\":\"translate(0 \"+this.fixed(n)+\")\"),r){var w=this.jax.fixed(180*-r/Math.PI);v.push(\"rotate(\"+w+\" \"+this.fixed(s/2)+\" \"+this.fixed(h)+\")\")}return v.length&&this.adaptor.setAttribute(g,\"transform\",v.join(\" \")),g},r.prototype.line=function(t){var r=d(t,4),e=r[0],o=r[1],n=r[2],i=r[3];return this.svg(\"line\",{x1:this.fixed(e),y1:this.fixed(o),x2:this.fixed(n),y2:this.fixed(i),\"stroke-width\":this.fixed(this.thickness)})},r.prototype.box=function(t,r,e,o){void 0===o&&(o=0);var n=this.thickness,i={x:this.fixed(n/2),y:this.fixed(n/2-e),width:this.fixed(t-n),height:this.fixed(r+e-n),fill:\"none\",\"stroke-width\":this.fixed(n)};return o&&(i.rx=this.fixed(o)),this.svg(\"rect\",i)},r.prototype.ellipse=function(t,r,e){var o=this.thickness;return this.svg(\"ellipse\",{rx:this.fixed((t-o)/2),ry:this.fixed((r+e-o)/2),cx:this.fixed(t/2),cy:this.fixed((r-e)/2),fill:\"none\",\"stroke-width\":this.fixed(o)})},r.prototype.path=function(t){for(var r=this,e=[],o=1;o<arguments.length;o++)e[o-1]=arguments[o];return this.svg(\"path\",{d:e.map((function(t){return\"string\"==typeof t?t:r.fixed(t)})).join(\" 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bottom\"}],[\"roundedbox\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness+t.padding;t.adaptor.append(t.element,t.box(o,n,i,s))},bbox:f.fullBBox}],[\"circle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d;t.adaptor.append(t.element,t.ellipse(o,n,i))},bbox:f.fullBBox}],[\"phasorangle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.getArgMod(1.75*t.padding,n+i)[0],a=t.thickness/2,d=n+i,h=Math.cos(s);t.adaptor.append(t.element,t.path(\"mitre\",\"M\",o,a-i,\"L\",a+h*a,a-i,\"L\",h*d+a,d-i-a))},bbox:function(t){var r=t.padding/2,e=t.thickness;return[2*r,r,r+e,3*r+e]},border:function(t){return[0,0,t.thickness,0]},remove:\"bottom\"}],f.Arrow(\"up\"),f.Arrow(\"down\"),f.Arrow(\"left\"),f.Arrow(\"right\"),f.Arrow(\"updown\"),f.Arrow(\"leftright\"),f.DiagonalArrow(\"updiagonal\"),f.DiagonalArrow(\"northeast\"),f.DiagonalArrow(\"southeast\"),f.DiagonalArrow(\"northwest\"),f.DiagonalArrow(\"southwest\"),f.DiagonalArrow(\"northeastsouthwest\"),f.DiagonalArrow(\"northwestsoutheast\"),[\"longdiv\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness/2,a=t.padding;t.adaptor.append(t.element,t.path(\"round\",\"M\",s,s-i,\"a\",a-s/2,(n+i)/2-4*s,0,\"0,1\",0,n+i-2*s,\"L\",o-s,n-s))},bbox:function(t){var r=t.padding,e=t.thickness;return[r+e,r,r,2*r+e/2]}}],[\"radical\",{renderer:function(t,r){t.msqrt.toSVG(r);var e=t.sqrtTRBL()[3];t.place(-e,0,r)},init:function(t){t.msqrt=t.createMsqrt(t.childNodes[0])},bbox:function(t){return t.sqrtTRBL()},renderChild:!0}]]),r}(l.CommonMencloseMixin(h.SVGWrapper));e.SVGmenclose=p},\n      646: function _(t,r,e,o,n){var i,a=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return a},h=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var d=t(647),c=t(530);e.CommonMencloseMixin=function(t){return function(t){function r(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];var o=t.apply(this,h([],s(r)))||this;return o.notations={},o.renderChild=null,o.msqrt=null,o.padding=d.PADDING,o.thickness=d.THICKNESS,o.arrowhead={x:d.ARROWX,y:d.ARROWY,dx:d.ARROWDX},o.TRBL=[0,0,0,0],o.getParameters(),o.getNotations(),o.removeRedundantNotations(),o.initializeNotations(),o.TRBL=o.getBBoxExtenders(),o}return a(r,t),r.prototype.getParameters=function(){var t=this.node.attributes,r=t.get(\"data-padding\");void 0!==r&&(this.padding=this.length2em(r,d.PADDING));var e=t.get(\"data-thickness\");void 0!==e&&(this.thickness=this.length2em(e,d.THICKNESS));var o=t.get(\"data-arrowhead\");if(void 0!==o){var n=s(c.split(o),3),i=n[0],a=n[1],h=n[2];this.arrowhead={x:i?parseFloat(i):d.ARROWX,y:a?parseFloat(a):d.ARROWY,dx:h?parseFloat(h):d.ARROWDX}}},r.prototype.getNotations=function(){var t,r,e=this.constructor.notations;try{for(var o=l(c.split(this.node.attributes.get(\"notation\"))),n=o.next();!n.done;n=o.next()){var i=n.value,a=e.get(i);a&&(this.notations[i]=a,a.renderChild&&(this.renderChild=a.renderer))}}catch(r){t={error:r}}finally{try{n&&!n.done&&(r=o.return)&&r.call(o)}finally{if(t)throw t.error}}},r.prototype.removeRedundantNotations=function(){var t,r,e,o;try{for(var n=l(Object.keys(this.notations)),i=n.next();!i.done;i=n.next()){var a=i.value;if(this.notations[a]){var s=this.notations[a].remove||\"\";try{for(var h=(e=void 0,l(s.split(/ /))),d=h.next();!d.done;d=h.next()){var c=d.value;delete 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t=s([this.padding,this.thickness],2),r=t[0],e=t[1]*(this.arrowhead.x+Math.max(1,this.arrowhead.dx)),o=this.childNodes[0].getBBox(),n=o.h,i=o.d,a=o.w,h=n+i,l=Math.sqrt(h*h+a*a),d=Math.max(r,e*a/l),c=Math.max(r,e*h/l),u=s(this.getArgMod(a+2*d,h+2*c),2);return{a:u[0],W:u[1],x:d,y:c}},r.prototype.arrowAW=function(){var t=this.childNodes[0].getBBox(),r=t.h,e=t.d,o=t.w,n=s(this.TRBL,4),i=n[0],a=n[1],h=n[2],l=n[3];return this.getArgMod(l+o+a,i+r+e+h)},r.prototype.createMsqrt=function(t){var r=this.node.factory.create(\"msqrt\");r.inheritAttributesFrom(this.node),r.childNodes[0]=t.node;var e=this.wrap(r);return e.parent=this,e},r.prototype.sqrtTRBL=function(){var t=this.msqrt.getBBox(),r=this.msqrt.childNodes[0].getBBox();return[t.h-r.h,0,t.d-r.d,t.w-r.w]},r}(t)}},\n      647: function _(r,o,n,t,a){var e=this&&this.__read||function(r,o){var n=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!n)return r;var t,a,e=n.call(r),i=[];try{for(;(void 0===o||o-- 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o},n.arrowDef={up:[-Math.PI/2,!1,!0,\"verticalstrike\"],down:[Math.PI/2,!1,!0,\"verticakstrike\"],right:[0,!1,!1,\"horizontalstrike\"],left:[Math.PI,!1,!1,\"horizontalstrike\"],updown:[Math.PI/2,!0,!0,\"verticalstrike uparrow downarrow\"],leftright:[0,!0,!1,\"horizontalstrike leftarrow rightarrow\"]},n.diagonalArrowDef={updiagonal:[-1,0,!1,\"updiagonalstrike northeastarrow\"],northeast:[-1,0,!1,\"updiagonalstrike updiagonalarrow\"],southeast:[1,0,!1,\"downdiagonalstrike\"],northwest:[1,Math.PI,!1,\"downdiagonalstrike\"],southwest:[-1,Math.PI,!1,\"updiagonalstrike\"],northeastsouthwest:[-1,0,!0,\"updiagonalstrike northeastarrow updiagonalarrow southwestarrow\"],northwestsoutheast:[1,0,!0,\"downdiagonalstrike northwestarrow southeastarrow\"]},n.arrowBBox={up:function(r){return n.arrowBBoxW(r,[n.arrowHead(r),0,r.padding,0])},down:function(r){return n.arrowBBoxW(r,[r.padding,0,n.arrowHead(r),0])},right:function(r){return 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r)Object.prototype.hasOwnProperty.call(r,n)&&(t[n]=r[n])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}),l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,n=r&&t[r],e=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},s=this&&this.__read||function(t,r){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var e,o,i=n.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(t){o={error:t}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__spreadArray||function(t,r){for(var n=0,e=r.length,o=t.length;n<e;n++,o++)t[o]=r[n];return t};e();var f=function(){function t(){this.bits=0}return t.allocate=function(){for(var r,n,e=[],o=0;o<arguments.length;o++)e[o]=arguments[o];try{for(var i=l(e),a=i.next();!a.done;a=i.next()){var s=a.value;if(this.has(s))throw new Error(\"Bit already allocated for \"+s);if(this.next===t.MAXBIT)throw new Error(\"Maximum number of bits already allocated\");this.names.set(s,this.next),this.next<<=1}}catch(t){r={error:t}}finally{try{a&&!a.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}},t.has=function(t){return this.names.has(t)},t.prototype.set=function(t){this.bits|=this.getBit(t)},t.prototype.clear=function(t){this.bits&=~this.getBit(t)},t.prototype.isSet=function(t){return!!(this.bits&this.getBit(t))},t.prototype.reset=function(){this.bits=0},t.prototype.getBit=function(t){var r=this.constructor.names.get(t);if(!r)throw new Error(\"Unknown bit-field name: \"+t);return r},t.MAXBIT=1<<31,t.next=1,t.names=new 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t},s.apply(this,arguments)},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)a.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var h=t(720),c=t(526),d=t(732),p=t(733),f=t(734),y=t(531),m=function(t){function e(e,r,n){var o=this,i=l(c.separateOptions(n,f.HTMLDomStrings.OPTIONS),2),a=i[0],s=i[1];return(o=t.call(this,e,r,a)||this).domStrings=o.options.DomStrings||new f.HTMLDomStrings(s),o.domStrings.adaptor=r,o.styles=[],o}return a(e,t),e.prototype.findPosition=function(t,e,r,n){var o,i,a=this.adaptor;try{for(var s=u(n[t]),h=s.next();!h.done;h=s.next()){var c=h.value,d=l(c,2),p=d[0],f=d[1];if(e<=f&&\"#text\"===a.kind(p))return{node:p,n:Math.max(e,0),delim:r};e-=f}}catch(t){o={error:t}}finally{try{h&&!h.done&&(i=s.return)&&i.call(s)}finally{if(o)throw o.error}}return{node:null,n:0,delim:r}},e.prototype.mathItem=function(t,e,r){var n=t.math,o=this.findPosition(t.n,t.start.n,t.open,r),i=this.findPosition(t.n,t.end.n,t.close,r);return new this.options.MathItem(n,e,t.display,o,i)},e.prototype.findMath=function(t){var e,r,n,o,i,a,s,h,d;if(!this.processed.isSet(\"findMath\")){this.adaptor.document=this.document,t=c.userOptions({elements:this.options.elements||[this.adaptor.body(this.document)]},t);try{for(var p=u(this.adaptor.getElements(t.elements,this.document)),f=p.next();!f.done;f=p.next()){var y=f.value,m=l([null,null],2),v=m[0],S=m[1];try{for(var g=(n=void 0,u(this.inputJax)),x=g.next();!x.done;x=g.next()){var M=x.value,T=new this.options.MathList;if(M.processStrings){null===v&&(v=(i=l(this.domStrings.find(y),2))[0],S=i[1]);try{for(var b=(a=void 0,u(M.findMath(v))),w=b.next();!w.done;w=b.next()){var O=w.value;T.push(this.mathItem(O,M,S))}}catch(t){a={error:t}}finally{try{w&&!w.done&&(s=b.return)&&s.call(b)}finally{if(a)throw a.error}}}else try{for(var D=(h=void 0,u(M.findMath(y))),E=D.next();!E.done;E=D.next()){O=E.value;var _=new this.options.MathItem(O.math,M,O.display,O.start,O.end);T.push(_)}}catch(t){h={error:t}}finally{try{E&&!E.done&&(d=D.return)&&d.call(D)}finally{if(h)throw h.error}}this.math.merge(T)}}catch(t){n={error:t}}finally{try{x&&!x.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}}}catch(t){e={error:t}}finally{try{f&&!f.done&&(r=p.return)&&r.call(p)}finally{if(e)throw e.error}}this.processed.set(\"findMath\")}return this},e.prototype.updateDocument=function(){return this.processed.isSet(\"updateDocument\")||(this.addPageElements(),this.addStyleSheet(),t.prototype.updateDocument.call(this),this.processed.set(\"updateDocument\")),this},e.prototype.addPageElements=function(){var t=this.adaptor.body(this.document),e=this.documentPageElements();e&&this.adaptor.append(t,e)},e.prototype.addStyleSheet=function(){var t=this.documentStyleSheet(),e=this.adaptor;if(t&&!e.parent(t)){var r=e.head(this.document),n=this.findSheet(r,e.getAttribute(t,\"id\"));n?e.replace(t,n):e.append(r,t)}},e.prototype.findSheet=function(t,e){var r,n;if(e)try{for(var o=u(this.adaptor.tags(t,\"style\")),i=o.next();!i.done;i=o.next()){var a=i.value;if(this.adaptor.getAttribute(a,\"id\")===e)return a}}catch(t){r={error:t}}finally{try{i&&!i.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}return null},e.prototype.removeFromDocument=function(t){var e,r;if(void 0===t&&(t=!1),this.processed.isSet(\"updateDocument\"))try{for(var n=u(this.math),o=n.next();!o.done;o=n.next()){var 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e=this.start.node;if(e===this.end.node)this.end.n&&this.end.n<this.adaptor.value(this.end.node).length&&this.adaptor.split(this.end.node,this.end.n),this.start.n&&(e=this.adaptor.split(this.start.node,this.start.n)),this.adaptor.replace(this.typesetRoot,e);else{for(this.start.n&&(e=this.adaptor.split(e,this.start.n));e!==this.end.node;){var n=this.adaptor.next(e);this.adaptor.remove(e),e=n}this.adaptor.insert(this.typesetRoot,e),this.end.n<this.adaptor.value(e).length&&this.adaptor.split(e,this.end.n),this.adaptor.remove(e)}}else this.adaptor.replace(this.typesetRoot,this.start.node);this.start.node=this.end.node=this.typesetRoot,this.start.n=this.end.n=0,this.state(a.STATE.INSERTED)}},e.prototype.updateStyleSheet=function(t){t.addStyleSheet()},e.prototype.removeFromDocument=function(t){if(void 0===t&&(t=!1),this.state()>=a.STATE.TYPESET){var e=this.adaptor,n=this.start.node,s=e.text(\"\");if(t){var 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i=this.adaptor.getAttribute(t,\"class\")||\"\",n=this.adaptor.kind(t)||\"\",r=this.processHtmlClass.exec(i),e=t;return!this.adaptor.firstChild(t)||this.adaptor.getAttribute(t,\"data-MJX\")||!r&&this.skipHtmlTags.exec(n)?e=this.adaptor.next(t):(this.adaptor.next(t)&&this.stack.push([this.adaptor.next(t),s]),e=this.adaptor.firstChild(t),s=(s||this.ignoreHtmlClass.exec(i))&&!r),[e,s]},t.prototype.handleOther=function(t,s){return this.pushString(),this.adaptor.next(t)},t.prototype.find=function(t){var s,i;this.init();for(var n=this.adaptor.next(t),r=!1,o=this.options.includeHtmlTags;t&&t!==n;){var a=this.adaptor.kind(t);\"#text\"===a?t=this.handleText(t,r):o.hasOwnProperty(a)?t=this.handleTag(t,r):a?(t=(s=e(this.handleContainer(t,r),2))[0],r=s[1]):t=this.handleOther(t,r),!t&&this.stack.length&&(this.pushString(),t=(i=e(this.stack.pop(),2))[0],r=i[1])}this.pushString();var h=[this.strings,this.nodes];return this.init(),h},t.OPTIONS={skipHtmlTags:[\"script\",\"noscript\",\"style\",\"textarea\",\"pre\",\"code\",\"annotation\",\"annotation-xml\"],includeHtmlTags:{br:\"\\n\",wbr:\"\",\"#comment\":\"\"},ignoreHtmlClass:\"mathjax_ignore\",processHtmlClass:\"mathjax_process\"},t}();i.HTMLDomStrings=a},\n      735: function _(e,t,o,x,a){x(),e(553),e(736),e(737),e(741),e(744),e(745),e(746),e(750),e(755),e(757),e(759),e(760),e(764),e(765),e(766),e(770),e(756),e(771),e(774),e(775),e(777),e(783),e(772),e(785),e(786),e(787),e(791),e(792),e(793),e(797),e(799),e(800),e(801),\"undefined\"!=typeof MathJax&&MathJax.loader&&MathJax.loader.preLoad(\"[tex]/action\",\"[tex]/ams\",\"[tex]/amscd\",\"[tex]/bbox\",\"[tex]/boldsymbol\",\"[tex]/braket\",\"[tex]/bussproofs\",\"[tex]/cancel\",\"[tex]/cases\",\"[tex]/centernot\",\"[tex]/color\",\"[tex]/colorv2\",\"[tex]/colortbl\",\"[tex]/empheq\",\"[tex]/enclose\",\"[tex]/extpfeil\",\"[tex]/gensymb\",\"[tex]/html\",\"[tex]/mathtools\",\"[tex]/mhchem\",\"[tex]/newcommand\",\"[tex]/noerrors\",\"[tex]/noundefined\",\"[tex]/physics\",\"[tex]/upgreek\",\"[tex]/unicode\",\"[tex]/verb\",\"[tex]/configmacros\",\"[tex]/tagformat\",\"[tex]/textcomp\",\"[tex]/textmacros\",\"[tex]/setoptions\"),o.AllPackages=[\"base\",\"action\",\"ams\",\"amscd\",\"bbox\",\"boldsymbol\",\"braket\",\"bussproofs\",\"cancel\",\"cases\",\"centernot\",\"color\",\"colortbl\",\"empheq\",\"enclose\",\"extpfeil\",\"gensymb\",\"html\",\"mathtools\",\"mhchem\",\"newcommand\",\"noerrors\",\"noundefined\",\"upgreek\",\"unicode\",\"verb\",\"configmacros\",\"tagformat\",\"textcomp\",\"textmacros\"]},\n      736: function _(t,o,a,n,e){n();var i=t(551),c=t(539),r=t(554),g=t(559);a.ActionMethods={},a.ActionMethods.Macro=g.default.Macro,a.ActionMethods.Toggle=function(t,o){for(var a,n=[];\"\\\\endtoggle\"!==(a=t.GetArgument(o));)n.push(new c.default(a,t.stack.env,t.configuration).mml());t.Push(t.create(\"node\",\"maction\",n,{actiontype:\"toggle\"}))},a.ActionMethods.Mathtip=function(t,o){var a=t.ParseArg(o),n=t.ParseArg(o);t.Push(t.create(\"node\",\"maction\",[a,n],{actiontype:\"tooltip\"}))},new r.CommandMap(\"action-macros\",{toggle:\"Toggle\",mathtip:\"Mathtip\",texttip:[\"Macro\",\"\\\\mathtip{#1}{\\\\text{#2}}\",2]},a.ActionMethods),a.ActionConfiguration=i.Configuration.create(\"action\",{handler:{macro:[\"action-macros\"]}})},\n      737: function _(t,n,o,i,e){var r,a,s=this&&this.__extends||(r=function(t,n){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},r(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});i();var l=t(551),m=t(738),p=t(550),u=t(739);t(740);var c=t(554),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n}(p.AbstractTags);o.AmsTags=h;o.AmsConfiguration=l.Configuration.create(\"ams\",{handler:{delimiter:[\"AMSsymbols-delimiter\",\"AMSmath-delimiter\"],macro:[\"AMSsymbols-mathchar0mi\",\"AMSsymbols-mathchar0mo\",\"AMSsymbols-delimiter\",\"AMSsymbols-macros\",\"AMSmath-mathchar0mo\",\"AMSmath-macros\",\"AMSmath-delimiter\"],environment:[\"AMSmath-environment\"]},items:(a={},a[m.MultlineItem.prototype.kind]=m.MultlineItem,a[m.FlalignItem.prototype.kind]=m.FlalignItem,a),tags:{ams:h},init:function(t){new c.CommandMap(u.NEW_OPS,{},{}),t.append(l.Configuration.local({handler:{macro:[u.NEW_OPS]},priority:-1}))},config:function(t,n){n.parseOptions.options.multlineWidth&&(n.parseOptions.options.ams.multlineWidth=n.parseOptions.options.multlineWidth),delete n.parseOptions.options.multlineWidth},options:{multlineWidth:\"\",ams:{multlineWidth:\"100%\",multlineIndent:\"1em\"}}})},\n      738: function _(t,e,n,r,i){var o,a=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},l.apply(this,arguments)};r();var s=t(556),h=t(540),u=t(536),d=t(541),c=t(558),f=function(t){function e(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];var i=t.call(this,e)||this;return i.factory.configuration.tags.start(\"multline\",!0,n[0]),i}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"multline\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.table.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.getProperty(\"shove\"),e=this.create(\"node\",\"mtd\",this.nodes,t?{columnalign:t}:{});this.setProperty(\"shove\",null),this.row.push(e),this.Clear()},e.prototype.EndRow=function(){if(1!==this.row.length)throw new d.default(\"MultlineRowsOneCol\",\"The rows within the %1 environment must have exactly one column\",\"multline\");var t=this.create(\"node\",\"mtr\",this.row);this.table.push(t),this.row=[]},e.prototype.EndTable=function(){if(t.prototype.EndTable.call(this),this.table.length){var e=this.table.length-1,n=-1;u.default.getAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\",c.TexConstant.Align.LEFT),u.default.getAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\",c.TexConstant.Align.RIGHT);var r=this.factory.configuration.tags.getTag();if(r){n=this.arraydef.side===c.TexConstant.Align.LEFT?0:this.table.length-1;var i=this.table[n],o=this.create(\"node\",\"mlabeledtr\",[r].concat(u.default.getChildren(i)));u.default.copyAttributes(i,o),this.table[n]=o}}this.factory.configuration.tags.end()},e}(s.ArrayItem);n.MultlineItem=f;var p=function(t){function e(e,n,r,i,o){var a=t.call(this,e)||this;return a.name=n,a.numbered=r,a.padded=i,a.center=o,a.factory.configuration.tags.start(n,r,r),a}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"flalign\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){t.prototype.EndEntry.call(this);var e=this.getProperty(\"xalignat\");if(e&&this.row.length>e)throw new d.default(\"XalignOverflow\",\"Extra %1 in row of %2\",\"&\",this.name)},e.prototype.EndRow=function(){for(var e,n=this.row,r=this.getProperty(\"xalignat\");n.length<r;)n.push(this.create(\"node\",\"mtd\"));for(this.row=[],this.padded&&this.row.push(this.create(\"node\",\"mtd\"));e=n.shift();)this.row.push(e),(e=n.shift())&&this.row.push(e),(n.length||this.padded)&&this.row.push(this.create(\"node\",\"mtd\"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),t.prototype.EndRow.call(this);var i=this.table[this.table.length-1];if(this.getProperty(\"zeroWidthLabel\")&&i.isKind(\"mlabeledtr\")){var o=u.default.getChildren(i)[0],a=this.factory.configuration.options.tagSide,s=l({width:0},\"right\"===a?{lspace:\"-1width\"}:{}),h=this.create(\"node\",\"mpadded\",u.default.getChildren(o),s);o.setChildren([h])}},e.prototype.EndTable=function(){(t.prototype.EndTable.call(this),this.center)&&(this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign))},e}(s.EqnArrayItem);n.FlalignItem=p},\n      739: function _(e,t,a,n,r){n();var i=e(540),s=e(536),l=e(558),o=e(539),d=e(541),m=e(555),u=e(559),c=e(533);a.AmsMethods={},a.AmsMethods.AmsEqnArray=function(e,t,a,n,r,s,l){var o=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\"),d=u.default.EqnArray(e,t,a,n,r,s,l);return i.default.setArrayAlign(d,o)},a.AmsMethods.AlignAt=function(e,t,n,r){var s,l,o=t.getName(),m=\"\",u=[];if(r||(l=e.GetBrackets(\"\\\\begin{\"+o+\"}\")),(s=e.GetArgument(\"\\\\begin{\"+o+\"}\")).match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+o+\"}\");for(var c=parseInt(s,10);c>0;)m+=\"rl\",u.push(\"0em 0em\"),c--;var f=u.join(\" \");if(r)return a.AmsMethods.EqnArray(e,t,n,r,m,f);var g=a.AmsMethods.EqnArray(e,t,n,r,m,f);return i.default.setArrayAlign(g,l)},a.AmsMethods.Multline=function(e,t,a){e.Push(t),i.default.checkEqnEnv(e);var n=e.itemFactory.create(\"multline\",a,e.stack);return n.arraydef={displaystyle:!0,rowspacing:\".5em\",columnspacing:\"100%\",width:e.options.ams.multlineWidth,side:e.options.tagSide,minlabelspacing:e.options.tagIndent,framespacing:e.options.ams.multlineIndent+\" 0\",frame:\"\",\"data-width-includes-label\":!0},n},a.AmsMethods.XalignAt=function(e,t,n,r){var i=e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\");if(i.match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+t.getName()+\"}\");var s=r?\"crl\":\"rlc\",l=r?\"fit auto auto\":\"auto auto fit\",o=a.AmsMethods.FlalignArray(e,t,n,r,!1,s,l,!0);return o.setProperty(\"xalignat\",2*parseInt(i)),o},a.AmsMethods.FlalignArray=function(e,t,a,n,r,s,l,o){void 0===o&&(o=!1),e.Push(t),i.default.checkEqnEnv(e),s=s.split(\"\").join(\" \").replace(/r/g,\"right\").replace(/l/g,\"left\").replace(/c/g,\"center\");var d=e.itemFactory.create(\"flalign\",t.getName(),a,n,r,e.stack);return d.arraydef={width:\"100%\",displaystyle:!0,columnalign:s,columnspacing:\"0em\",columnwidth:l,rowspacing:\"3pt\",side:e.options.tagSide,minlabelspacing:o?\"0\":e.options.tagIndent,\"data-width-includes-label\":!0},d.setProperty(\"zeroWidthLabel\",o),d},a.NEW_OPS=\"ams-declare-ops\",a.AmsMethods.HandleDeclareOp=function(e,t){var n=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",r=i.default.trimSpaces(e.GetArgument(t));\"\\\\\"===r.charAt(0)&&(r=r.substr(1));var s=e.GetArgument(t);s.match(/\\\\text/)||(s=s.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.configuration.handlers.retrieve(a.NEW_OPS).add(r,new m.Macro(r,a.AmsMethods.Macro,[\"\\\\mathop{\\\\rm \"+s+\"}\"+n]))},a.AmsMethods.HandleOperatorName=function(e,t){var a=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",n=i.default.trimSpaces(e.GetArgument(t));n.match(/\\\\text/)||(n=n.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.string=\"\\\\mathop{\\\\rm \"+n+\"}\"+a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.SkipLimits=function(e,t){var a=e.GetNext(),n=e.i;\"\\\\\"===a&&++e.i&&\"limits\"!==e.GetCS()&&(e.i=n)},a.AmsMethods.MultiIntegral=function(e,t,a){var n=e.GetNext();if(\"\\\\\"===n){var r=e.i;n=e.GetArgument(t),e.i=r,\"\\\\limits\"===n&&(a=\"\\\\idotsint\"===t?\"\\\\!\\\\!\\\\mathop{\\\\,\\\\,\"+a+\"}\":\"\\\\!\\\\!\\\\!\\\\mathop{\\\\,\\\\,\\\\,\"+a+\"}\")}e.string=a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.xArrow=function(e,t,a,n,r){var l={width:\"+\"+i.default.Em((n+r)/18),lspace:i.default.Em(n/18)},d=e.GetBrackets(t),m=e.ParseArg(t),u=e.create(\"node\",\"mspace\",[],{depth:\".25em\"}),f=e.create(\"token\",\"mo\",{stretchy:!0,texClass:c.TEXCLASS.REL},String.fromCodePoint(a));f=e.create(\"node\",\"mstyle\",[f],{scriptlevel:0});var g=e.create(\"node\",\"munderover\",[f]),A=e.create(\"node\",\"mpadded\",[m,u],l);if(s.default.setAttribute(A,\"voffset\",\"-.2em\"),s.default.setAttribute(A,\"height\",\"-.2em\"),s.default.setChild(g,g.over,A),d){var h=new o.default(d,e.stack.env,e.configuration).mml(),p=e.create(\"node\",\"mspace\",[],{height:\".75em\"});A=e.create(\"node\",\"mpadded\",[h,p],l),s.default.setAttribute(A,\"voffset\",\".15em\"),s.default.setAttribute(A,\"depth\",\"-.15em\"),s.default.setChild(g,g.under,A)}s.default.setProperty(g,\"subsupOK\",!0),e.Push(g)},a.AmsMethods.HandleShove=function(e,t,a){var n=e.stack.Top();if(\"multline\"!==n.kind)throw new d.default(\"CommandOnlyAllowedInEnv\",\"%1 only allowed in %2 environment\",e.currentCS,\"multline\");if(n.Size())throw new d.default(\"CommandAtTheBeginingOfLine\",\"%1 must come at the beginning of the line\",e.currentCS);n.setProperty(\"shove\",a)},a.AmsMethods.CFrac=function(e,t){var a=i.default.trimSpaces(e.GetBrackets(t,\"\")),n=e.GetArgument(t),r=e.GetArgument(t),m={l:l.TexConstant.Align.LEFT,r:l.TexConstant.Align.RIGHT,\"\":\"\"},u=new o.default(\"\\\\strut\\\\textstyle{\"+n+\"}\",e.stack.env,e.configuration).mml(),c=new o.default(\"\\\\strut\\\\textstyle{\"+r+\"}\",e.stack.env,e.configuration).mml(),f=e.create(\"node\",\"mfrac\",[u,c]);if(null==(a=m[a]))throw new d.default(\"IllegalAlign\",\"Illegal alignment specified in %1\",e.currentCS);a&&s.default.setProperties(f,{numalign:a,denomalign:a}),e.Push(f)},a.AmsMethods.Genfrac=function(e,t,a,n,r,l){null==a&&(a=e.GetDelimiterArg(t)),null==n&&(n=e.GetDelimiterArg(t)),null==r&&(r=e.GetArgument(t)),null==l&&(l=i.default.trimSpaces(e.GetArgument(t)));var o=e.ParseArg(t),m=e.ParseArg(t),u=e.create(\"node\",\"mfrac\",[o,m]);if(\"\"!==r&&s.default.setAttribute(u,\"linethickness\",r),(a||n)&&(s.default.setProperty(u,\"withDelims\",!0),u=i.default.fixedFence(e.configuration,a,u,n)),\"\"!==l){var c=parseInt(l,10),f=[\"D\",\"T\",\"S\",\"SS\"][c];if(null==f)throw new d.default(\"BadMathStyleFor\",\"Bad math style for %1\",e.currentCS);u=e.create(\"node\",\"mstyle\",[u]),\"D\"===f?s.default.setProperties(u,{displaystyle:!0,scriptlevel:0}):s.default.setProperties(u,{displaystyle:!1,scriptlevel:c-1})}e.Push(u)},a.AmsMethods.HandleTag=function(e,t){if(!e.tags.currentTag.taggable&&e.tags.env)throw new d.default(\"CommandNotAllowedInEnv\",\"%1 not allowed in %2 environment\",e.currentCS,e.tags.env);if(e.tags.currentTag.tag)throw new d.default(\"MultipleCommand\",\"Multiple %1\",e.currentCS);var a=e.GetStar(),n=i.default.trimSpaces(e.GetArgument(t));e.tags.tag(n,a)},a.AmsMethods.HandleNoTag=u.default.HandleNoTag,a.AmsMethods.HandleRef=u.default.HandleRef,a.AmsMethods.Macro=u.default.Macro,a.AmsMethods.Accent=u.default.Accent,a.AmsMethods.Tilde=u.default.Tilde,a.AmsMethods.Array=u.default.Array,a.AmsMethods.Spacer=u.default.Spacer,a.AmsMethods.NamedOp=u.default.NamedOp,a.AmsMethods.EqnArray=u.default.EqnArray,a.AmsMethods.Equation=u.default.Equation},\n      740: function _(a,r,t,e,n){e();var l=a(739),i=a(554),o=a(558),s=a(561),m=a(540),c=a(533),h=a(560);new i.CharacterMap(\"AMSmath-mathchar0mo\",s.default.mathchar0mo,{iiiint:[\"\\u2a0c\",{texClass:c.TEXCLASS.OP}]}),new i.CommandMap(\"AMSmath-macros\",{mathring:[\"Accent\",\"02DA\"],nobreakspace:\"Tilde\",negmedspace:[\"Spacer\",h.MATHSPACE.negativemediummathspace],negthickspace:[\"Spacer\",h.MATHSPACE.negativethickmathspace],idotsint:[\"MultiIntegral\",\"\\\\int\\\\cdots\\\\int\"],dddot:[\"Accent\",\"20DB\"],ddddot:[\"Accent\",\"20DC\"],sideset:[\"Macro\",\"\\\\mathop{\\\\mathop{\\\\rlap{\\\\phantom{#3}}}\\\\nolimits#1\\\\!\\\\mathop{#3}\\\\nolimits#2}\",3],boxed:[\"Macro\",\"\\\\fbox{$\\\\displaystyle{#1}$}\",1],tag:\"HandleTag\",notag:\"HandleNoTag\",eqref:[\"HandleRef\",!0],substack:[\"Macro\",\"\\\\begin{subarray}{c}#1\\\\end{subarray}\",1],injlim:[\"NamedOp\",\"inj&thinsp;lim\"],projlim:[\"NamedOp\",\"proj&thinsp;lim\"],varliminf:[\"Macro\",\"\\\\mathop{\\\\underline{\\\\mmlToken{mi}{lim}}}\"],varlimsup:[\"Macro\",\"\\\\mathop{\\\\overline{\\\\mmlToken{mi}{lim}}}\"],varinjlim:[\"Macro\",\"\\\\mathop{\\\\underrightarrow{\\\\mmlToken{mi}{lim}}}\"],varprojlim:[\"Macro\",\"\\\\mathop{\\\\underleftarrow{\\\\mmlToken{mi}{lim}}}\"],DeclareMathOperator:\"HandleDeclareOp\",operatorname:\"HandleOperatorName\",SkipLimits:\"SkipLimits\",genfrac:\"Genfrac\",frac:[\"Genfrac\",\"\",\"\",\"\",\"\"],tfrac:[\"Genfrac\",\"\",\"\",\"\",\"1\"],dfrac:[\"Genfrac\",\"\",\"\",\"\",\"0\"],binom:[\"Genfrac\",\"(\",\")\",\"0\",\"\"],tbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"1\"],dbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"0\"],cfrac:\"CFrac\",shoveleft:[\"HandleShove\",o.TexConstant.Align.LEFT],shoveright:[\"HandleShove\",o.TexConstant.Align.RIGHT],xrightarrow:[\"xArrow\",8594,5,10],xleftarrow:[\"xArrow\",8592,10,5]},l.AmsMethods),new i.EnvironmentMap(\"AMSmath-environment\",s.default.environment,{\"equation*\":[\"Equation\",null,!1],\"eqnarray*\":[\"EqnArray\",null,!1,!0,\"rcl\",m.default.cols(0,h.MATHSPACE.thickmathspace),\".5em\"],align:[\"EqnArray\",null,!0,!0,\"rl\",m.default.cols(0,2)],\"align*\":[\"EqnArray\",null,!1,!0,\"rl\",m.default.cols(0,2)],multline:[\"Multline\",null,!0],\"multline*\":[\"Multline\",null,!1],split:[\"EqnArray\",null,!1,!1,\"rl\",m.default.cols(0)],gather:[\"EqnArray\",null,!0,!0,\"c\"],\"gather*\":[\"EqnArray\",null,!1,!0,\"c\"],alignat:[\"AlignAt\",null,!0,!0],\"alignat*\":[\"AlignAt\",null,!1,!0],alignedat:[\"AlignAt\",null,!1,!1],aligned:[\"AmsEqnArray\",null,null,null,\"rl\",m.default.cols(0,2),\".5em\",\"D\"],gathered:[\"AmsEqnArray\",null,null,null,\"c\",null,\".5em\",\"D\"],xalignat:[\"XalignAt\",null,!0,!0],\"xalignat*\":[\"XalignAt\",null,!1,!0],xxalignat:[\"XalignAt\",null,!1,!1],flalign:[\"FlalignArray\",null,!0,!1,!0,\"rlc\",\"auto auto fit\"],\"flalign*\":[\"FlalignArray\",null,!1,!1,!0,\"rlc\",\"auto auto fit\"],subarray:[\"Array\",null,null,null,null,m.default.cols(0),\"0.1em\",\"S\",1],smallmatrix:[\"Array\",null,null,null,\"c\",m.default.cols(1/3),\".2em\",\"S\",1],matrix:[\"Array\",null,null,null,\"c\"],pmatrix:[\"Array\",null,\"(\",\")\",\"c\"],bmatrix:[\"Array\",null,\"[\",\"]\",\"c\"],Bmatrix:[\"Array\",null,\"\\\\{\",\"\\\\}\",\"c\"],vmatrix:[\"Array\",null,\"\\\\vert\",\"\\\\vert\",\"c\"],Vmatrix:[\"Array\",null,\"\\\\Vert\",\"\\\\Vert\",\"c\"],cases:[\"Array\",null,\"\\\\{\",\".\",\"ll\",null,\".2em\",\"T\"]},l.AmsMethods),new i.DelimiterMap(\"AMSmath-delimiter\",s.default.delimiter,{\"\\\\lvert\":[\"|\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rvert\":[\"|\",{texClass:c.TEXCLASS.CLOSE}],\"\\\\lVert\":[\"\\u2016\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rVert\":[\"\\u2016\",{texClass:c.TEXCLASS.CLOSE}]}),new i.CharacterMap(\"AMSsymbols-mathchar0mi\",s.default.mathchar0mi,{digamma:\"\\u03dd\",varkappa:\"\\u03f0\",varGamma:[\"\\u0393\",{mathvariant:o.TexConstant.Variant.ITALIC}],varDelta:[\"\\u0394\",{mathvariant:o.TexConstant.Variant.ITALIC}],varTheta:[\"\\u0398\",{mathvariant:o.TexConstant.Variant.ITALIC}],varLambda:[\"\\u039b\",{mathvariant:o.TexConstant.Variant.ITALIC}],varXi:[\"\\u039e\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPi:[\"\\u03a0\",{mathvariant:o.TexConstant.Variant.ITALIC}],varSigma:[\"\\u03a3\",{mathvariant:o.TexConstant.Variant.ITALIC}],varUpsilon:[\"\\u03a5\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPhi:[\"\\u03a6\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPsi:[\"\\u03a8\",{mathvariant:o.TexConstant.Variant.ITALIC}],varOmega:[\"\\u03a9\",{mathvariant:o.TexConstant.Variant.ITALIC}],beth:\"\\u2136\",gimel:\"\\u2137\",daleth:\"\\u2138\",backprime:[\"\\u2035\",{variantForm:!0}],hslash:\"\\u210f\",varnothing:[\"\\u2205\",{variantForm:!0}],blacktriangle:\"\\u25b4\",triangledown:[\"\\u25bd\",{variantForm:!0}],blacktriangledown:\"\\u25be\",square:\"\\u25fb\",Box:\"\\u25fb\",blacksquare:\"\\u25fc\",lozenge:\"\\u25ca\",Diamond:\"\\u25ca\",blacklozenge:\"\\u29eb\",circledS:[\"\\u24c8\",{mathvariant:o.TexConstant.Variant.NORMAL}],bigstar:\"\\u2605\",sphericalangle:\"\\u2222\",measuredangle:\"\\u2221\",nexists:\"\\u2204\",complement:\"\\u2201\",mho:\"\\u2127\",eth:[\"\\xf0\",{mathvariant:o.TexConstant.Variant.NORMAL}],Finv:\"\\u2132\",diagup:\"\\u2571\",Game:\"\\u2141\",diagdown:\"\\u2572\",Bbbk:[\"k\",{mathvariant:o.TexConstant.Variant.DOUBLESTRUCK}],yen:\"\\xa5\",circledR:\"\\xae\",checkmark:\"\\u2713\",maltese:\"\\u2720\"}),new i.CharacterMap(\"AMSsymbols-mathchar0mo\",s.default.mathchar0mo,{dotplus:\"\\u2214\",ltimes:\"\\u22c9\",smallsetminus:[\"\\u2216\",{variantForm:!0}],rtimes:\"\\u22ca\",Cap:\"\\u22d2\",doublecap:\"\\u22d2\",leftthreetimes:\"\\u22cb\",Cup:\"\\u22d3\",doublecup:\"\\u22d3\",rightthreetimes:\"\\u22cc\",barwedge:\"\\u22bc\",curlywedge:\"\\u22cf\",veebar:\"\\u22bb\",curlyvee:\"\\u22ce\",doublebarwedge:\"\\u2a5e\",boxminus:\"\\u229f\",circleddash:\"\\u229d\",boxtimes:\"\\u22a0\",circledast:\"\\u229b\",boxdot:\"\\u22a1\",circledcirc:\"\\u229a\",boxplus:\"\\u229e\",centerdot:[\"\\u22c5\",{variantForm:!0}],divideontimes:\"\\u22c7\",intercal:\"\\u22ba\",leqq:\"\\u2266\",geqq:\"\\u2267\",leqslant:\"\\u2a7d\",geqslant:\"\\u2a7e\",eqslantless:\"\\u2a95\",eqslantgtr:\"\\u2a96\",lesssim:\"\\u2272\",gtrsim:\"\\u2273\",lessapprox:\"\\u2a85\",gtrapprox:\"\\u2a86\",approxeq:\"\\u224a\",lessdot:\"\\u22d6\",gtrdot:\"\\u22d7\",lll:\"\\u22d8\",llless:\"\\u22d8\",ggg:\"\\u22d9\",gggtr:\"\\u22d9\",lessgtr:\"\\u2276\",gtrless:\"\\u2277\",lesseqgtr:\"\\u22da\",gtreqless:\"\\u22db\",lesseqqgtr:\"\\u2a8b\",gtreqqless:\"\\u2a8c\",doteqdot:\"\\u2251\",Doteq:\"\\u2251\",eqcirc:\"\\u2256\",risingdotseq:\"\\u2253\",circeq:\"\\u2257\",fallingdotseq:\"\\u2252\",triangleq:\"\\u225c\",backsim:\"\\u223d\",thicksim:[\"\\u223c\",{variantForm:!0}],backsimeq:\"\\u22cd\",thickapprox:[\"\\u2248\",{variantForm:!0}],subseteqq:\"\\u2ac5\",supseteqq:\"\\u2ac6\",Subset:\"\\u22d0\",Supset:\"\\u22d1\",sqsubset:\"\\u228f\",sqsupset:\"\\u2290\",preccurlyeq:\"\\u227c\",succcurlyeq:\"\\u227d\",curlyeqprec:\"\\u22de\",curlyeqsucc:\"\\u22df\",precsim:\"\\u227e\",succsim:\"\\u227f\",precapprox:\"\\u2ab7\",succapprox:\"\\u2ab8\",vartriangleleft:\"\\u22b2\",lhd:\"\\u22b2\",vartriangleright:\"\\u22b3\",rhd:\"\\u22b3\",trianglelefteq:\"\\u22b4\",unlhd:\"\\u22b4\",trianglerighteq:\"\\u22b5\",unrhd:\"\\u22b5\",vDash:[\"\\u22a8\",{variantForm:!0}],Vdash:\"\\u22a9\",Vvdash:\"\\u22aa\",smallsmile:[\"\\u2323\",{variantForm:!0}],shortmid:[\"\\u2223\",{variantForm:!0}],smallfrown:[\"\\u2322\",{variantForm:!0}],shortparallel:[\"\\u2225\",{variantForm:!0}],bumpeq:\"\\u224f\",between:\"\\u226c\",Bumpeq:\"\\u224e\",pitchfork:\"\\u22d4\",varpropto:[\"\\u221d\",{variantForm:!0}],backepsilon:\"\\u220d\",blacktriangleleft:\"\\u25c2\",blacktriangleright:\"\\u25b8\",therefore:\"\\u2234\",because:\"\\u2235\",eqsim:\"\\u2242\",vartriangle:[\"\\u25b3\",{variantForm:!0}],Join:\"\\u22c8\",nless:\"\\u226e\",ngtr:\"\\u226f\",nleq:\"\\u2270\",ngeq:\"\\u2271\",nleqslant:[\"\\u2a87\",{variantForm:!0}],ngeqslant:[\"\\u2a88\",{variantForm:!0}],nleqq:[\"\\u2270\",{variantForm:!0}],ngeqq:[\"\\u2271\",{variantForm:!0}],lneq:\"\\u2a87\",gneq:\"\\u2a88\",lneqq:\"\\u2268\",gneqq:\"\\u2269\",lvertneqq:[\"\\u2268\",{variantForm:!0}],gvertneqq:[\"\\u2269\",{variantForm:!0}],lnsim:\"\\u22e6\",gnsim:\"\\u22e7\",lnapprox:\"\\u2a89\",gnapprox:\"\\u2a8a\",nprec:\"\\u2280\",nsucc:\"\\u2281\",npreceq:[\"\\u22e0\",{variantForm:!0}],nsucceq:[\"\\u22e1\",{variantForm:!0}],precneqq:\"\\u2ab5\",succneqq:\"\\u2ab6\",precnsim:\"\\u22e8\",succnsim:\"\\u22e9\",precnapprox:\"\\u2ab9\",succnapprox:\"\\u2aba\",nsim:\"\\u2241\",ncong:\"\\u2247\",nshortmid:[\"\\u2224\",{variantForm:!0}],nshortparallel:[\"\\u2226\",{variantForm:!0}],nmid:\"\\u2224\",nparallel:\"\\u2226\",nvdash:\"\\u22ac\",nvDash:\"\\u22ad\",nVdash:\"\\u22ae\",nVDash:\"\\u22af\",ntriangleleft:\"\\u22ea\",ntriangleright:\"\\u22eb\",ntrianglelefteq:\"\\u22ec\",ntrianglerighteq:\"\\u22ed\",nsubseteq:\"\\u2288\",nsupseteq:\"\\u2289\",nsubseteqq:[\"\\u2288\",{variantForm:!0}],nsupseteqq:[\"\\u2289\",{variantForm:!0}],subsetneq:\"\\u228a\",supsetneq:\"\\u228b\",varsubsetneq:[\"\\u228a\",{variantForm:!0}],varsupsetneq:[\"\\u228b\",{variantForm:!0}],subsetneqq:\"\\u2acb\",supsetneqq:\"\\u2acc\",varsubsetneqq:[\"\\u2acb\",{variantForm:!0}],varsupsetneqq:[\"\\u2acc\",{variantForm:!0}],leftleftarrows:\"\\u21c7\",rightrightarrows:\"\\u21c9\",leftrightarrows:\"\\u21c6\",rightleftarrows:\"\\u21c4\",Lleftarrow:\"\\u21da\",Rrightarrow:\"\\u21db\",twoheadleftarrow:\"\\u219e\",twoheadrightarrow:\"\\u21a0\",leftarrowtail:\"\\u21a2\",rightarrowtail:\"\\u21a3\",looparrowleft:\"\\u21ab\",looparrowright:\"\\u21ac\",leftrightharpoons:\"\\u21cb\",rightleftharpoons:[\"\\u21cc\",{variantForm:!0}],curvearrowleft:\"\\u21b6\",curvearrowright:\"\\u21b7\",circlearrowleft:\"\\u21ba\",circlearrowright:\"\\u21bb\",Lsh:\"\\u21b0\",Rsh:\"\\u21b1\",upuparrows:\"\\u21c8\",downdownarrows:\"\\u21ca\",upharpoonleft:\"\\u21bf\",upharpoonright:\"\\u21be\",downharpoonleft:\"\\u21c3\",restriction:\"\\u21be\",multimap:\"\\u22b8\",downharpoonright:\"\\u21c2\",leftrightsquigarrow:\"\\u21ad\",rightsquigarrow:\"\\u21dd\",leadsto:\"\\u21dd\",dashrightarrow:\"\\u21e2\",dashleftarrow:\"\\u21e0\",nleftarrow:\"\\u219a\",nrightarrow:\"\\u219b\",nLeftarrow:\"\\u21cd\",nRightarrow:\"\\u21cf\",nleftrightarrow:\"\\u21ae\",nLeftrightarrow:\"\\u21ce\"}),new i.DelimiterMap(\"AMSsymbols-delimiter\",s.default.delimiter,{\"\\\\ulcorner\":\"\\u231c\",\"\\\\urcorner\":\"\\u231d\",\"\\\\llcorner\":\"\\u231e\",\"\\\\lrcorner\":\"\\u231f\"}),new i.CommandMap(\"AMSsymbols-macros\",{implies:[\"Macro\",\"\\\\;\\\\Longrightarrow\\\\;\"],impliedby:[\"Macro\",\"\\\\;\\\\Longleftarrow\\\\;\"]},l.AmsMethods)},\n      741: function _(a,e,o,r,c){r();var n=a(551);a(742),o.AmsCdConfiguration=n.Configuration.create(\"amscd\",{handler:{character:[\"amscd_special\"],macro:[\"amscd_macros\"],environment:[\"amscd_environment\"]},options:{amscd:{colspace:\"5pt\",rowspace:\"5pt\",harrowsize:\"2.75em\",varrowsize:\"1.75em\",hideHorizontalLabels:!1}}})},\n      742: function _(a,n,r,e,i){e();var m=a(554),o=a(561),t=a(743);new m.EnvironmentMap(\"amscd_environment\",o.default.environment,{CD:\"CD\"},t.default),new m.CommandMap(\"amscd_macros\",{minCDarrowwidth:\"minCDarrowwidth\",minCDarrowheight:\"minCDarrowheight\"},t.default),new m.MacroMap(\"amscd_special\",{\"@\":\"arrow\"},t.default)},\n      743: function _(e,t,a,r,n){r();var i=e(539),o=e(553),c=e(533),s=e(536),l={CD:function(e,t){e.Push(t);var a=e.itemFactory.create(\"array\"),r=e.configuration.options.amscd;return a.setProperties({minw:e.stack.env.CD_minw||r.harrowsize,minh:e.stack.env.CD_minh||r.varrowsize}),a.arraydef={columnalign:\"center\",columnspacing:r.colspace,rowspacing:r.rowspace,displaystyle:!0},a},arrow:function(e,t){var a=e.string.charAt(e.i);if(!a.match(/[><VA.|=]/))return o.Other(e,t);e.i++;var r=e.stack.Top();r.isKind(\"array\")&&!r.Size()||(l.cell(e,t),r=e.stack.Top());for(var n,d=r,m=d.table.length%2==1,p=(d.row.length+(m?0:1))%2;p;)l.cell(e,t),p--;var f={minsize:d.getProperty(\"minw\"),stretchy:!0},h={minsize:d.getProperty(\"minh\"),stretchy:!0,symmetric:!0,lspace:0,rspace:0};if(\".\"===a);else if(\"|\"===a)n=e.create(\"token\",\"mo\",h,\"\\u2225\");else if(\"=\"===a)n=e.create(\"token\",\"mo\",f,\"=\");else{var 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function _(t,o,a,e,n){var r=this&&this.__values||function(t){var o=\"function\"==typeof Symbol&&Symbol.iterator,a=o&&t[o],e=0;if(a)return a.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(o?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var l=t(551),i=t(536),s=t(558),d=t(554),b=t(549),f={};function u(t,o,a,e){var n=b.NodeFactory.createToken(t,o,a,e);return\"mtext\"!==o&&t.configuration.parser.stack.env.boldsymbol&&(i.default.setProperty(n,\"fixBold\",!0),t.configuration.addNode(\"fixBold\",n)),n}function y(t){var o,a;try{for(var e=r(t.data.getList(\"fixBold\")),n=e.next();!n.done;n=e.next()){var l=n.value;if(i.default.getProperty(l,\"fixBold\")){var 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n={fence:!0,stretchy:!1,symmetric:!0,texClass:a.TEXCLASS.OPEN},i=this.create(\"token\",\"mo\",n,r);n.texClass=a.TEXCLASS.CLOSE;var c=this.create(\"token\",\"mo\",n,o);return this.create(\"node\",\"mrow\",[i,e,c],{open:r,close:o,texClass:a.TEXCLASS.INNER})},e}(s.BaseItem);r.BraketItem=p},\n      748: function _(r,e,a,t,l){t();var n=r(554),g=r(749);new n.CommandMap(\"Braket-macros\",{bra:[\"Macro\",\"{\\\\langle {#1} \\\\vert}\",1],ket:[\"Macro\",\"{\\\\vert {#1} \\\\rangle}\",1],braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!1,1/0],set:[\"Braket\",\"{\",\"}\",!1,1],Bra:[\"Macro\",\"{\\\\left\\\\langle {#1} \\\\right\\\\vert}\",1],Ket:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle}\",1],Braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!0,1/0],Set:[\"Braket\",\"{\",\"}\",!0,1],ketbra:[\"Macro\",\"{\\\\vert {#1} \\\\rangle\\\\langle {#2} \\\\vert}\",2],Ketbra:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle\\\\left\\\\langle {#2} \\\\right\\\\vert}\",2],\"|\":\"Bar\"},g.default),new 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0===e&&(e=null),t.toString()+(null===e?\"\":String.fromCharCode(96+e))},e}(m.AmsTags);r.CasesTags=d,r.CasesMethods={NumCases:function(t,e){if(t.stack.env.closing===e.getName()){delete t.stack.env.closing,t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName()));var r=t.stack.Top(),n=r.Last,s=l.default.copyNode(n,t),a=r.getProperty(\"left\");return y.EmpheqUtil.left(n,s,a+\"\\\\empheqlbrace\\\\,\",t,\"numcases-left\"),t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName())),null}a=t.GetArgument(\"\\\\begin{\"+e.getName()+\"}\");e.setProperty(\"left\",a);var o=p.default.EqnArray(t,e,!0,!0,\"ll\");return o.arraydef.displaystyle=!1,o.arraydef.rowspacing=\".2em\",o.setProperty(\"numCases\",!0),t.Push(e),o},Entry:function(t,e){if(!t.stack.Top().getProperty(\"numCases\"))return p.default.Entry(t,e);t.Push(t.itemFactory.create(\"cell\").setProperties({isEntry:!0,name:e}));for(var r=t.string,n=0,s=t.i,a=r.length;s<a;){var o=r.charAt(s);if(\"{\"===o)n++,s++;else if(\"}\"===o){if(0===n)break;n--,s++}else{if(\"&\"===o&&0===n)throw new f.default(\"ExtraCasesAlignTab\",\"Extra alignment tab in text for numcase environment\");if(\"\\\\\"===o&&0===n){var i=(r.slice(s+1).match(/^[a-z]+|./i)||[])[0];if(\"\\\\\"===i||\"cr\"===i||\"end\"===i||\"label\"===i)break;s+=i.length}else s++}}var u=r.substr(t.i,s-t.i).replace(/^\\s*/,\"\");t.PushAll(l.default.internalMath(t,u,0)),t.i=s}},new c.EnvironmentMap(\"cases-env\",y.EmpheqUtil.environment,{numcases:[\"NumCases\",\"cases\"],subnumcases:[\"NumCases\",\"cases\"]},r.CasesMethods),new c.MacroMap(\"cases-macros\",{\"&\":\"Entry\"},r.CasesMethods),r.CasesConfiguration=u.Configuration.create(\"cases\",{handler:{environment:[\"cases-env\"],character:[\"cases-macros\"]},items:(o={},o[g.prototype.kind]=g,o),tags:{cases:d}})},\n      758: function _(e,t,n,r,i){var l=this&&this.__read||function(e,t){var n=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!n)return e;var r,i,l=n.call(e),o=[];try{for(;(void 0===t||t-- 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o=l.value,d=o.childNodes.length-(o.isKind(\"mlabeledtr\")?1:0);d>r&&(r=d)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(n=i.return)&&n.call(i)}finally{if(t)throw t.error}}return r},cellBlock:function(e,t,n,r){var i,l,o=n.create(\"node\",\"mpadded\",[],{height:0,depth:0,voffset:\"-1height\"}),d=new c.default(e,n.stack.env,n.configuration),s=d.mml();r&&d.configuration.tags.label&&(d.configuration.tags.currentTag.env=r,d.configuration.tags.getTag(!0));try{for(var u=a(s.isInferred?s.childNodes:[s]),h=u.next();!h.done;h=u.next()){var f=h.value;o.appendChild(f)}}catch(e){i={error:e}}finally{try{h&&!h.done&&(l=u.return)&&l.call(u)}finally{if(i)throw i.error}}return o.appendChild(n.create(\"node\",\"mphantom\",[n.create(\"node\",\"mpadded\",[t],{width:0})])),o},topRowTable:function(e,t){var n=d.default.copyNode(e,t);return n.setChildren(n.childNodes.slice(0,1)),n.attributes.set(\"align\",\"baseline 1\"),e.factory.create(\"mphantom\",{},[t.create(\"node\",\"mpadded\",[n],{width:0})])},rowspanCell:function(e,t,n,r,i){e.appendChild(r.create(\"node\",\"mpadded\",[this.cellBlock(t,d.default.copyNode(n,r),r,i),this.topRowTable(n,r)],{height:0,depth:0,voffset:\"height\"}))},left:function(e,t,n,r,i){var l,o,d;void 0===i&&(i=\"\"),e.attributes.set(\"columnalign\",\"right \"+(e.attributes.get(\"columnalign\")||\"\")),e.attributes.set(\"columnspacing\",\"0em \"+(e.attributes.get(\"columnspacing\")||\"\"));try{for(var c=a(e.childNodes.slice(0).reverse()),s=c.next();!s.done;s=c.next()){var u=s.value;d=r.create(\"node\",\"mtd\"),u.childNodes.unshift(d),u.replaceChild(d,d),u.isKind(\"mlabeledtr\")&&(u.childNodes[0]=u.childNodes[1],u.childNodes[1]=d)}}catch(e){l={error:e}}finally{try{s&&!s.done&&(o=c.return)&&o.call(c)}finally{if(l)throw l.error}}this.rowspanCell(d,n,t,r,i)},right:function(e,t,r,i,l){void 0===l&&(l=\"\"),0===e.childNodes.length&&e.appendChild(i.create(\"node\",\"mtr\"));for(var o=n.EmpheqUtil.columnCount(e),a=e.childNodes[0];a.childNodes.length<o;)a.appendChild(i.create(\"node\",\"mtd\"));var d=a.appendChild(i.create(\"node\",\"mtd\"));n.EmpheqUtil.rowspanCell(d,r,t,i,l),e.attributes.set(\"columnalign\",(e.attributes.get(\"columnalign\")||\"\").split(/ /).slice(0,o).join(\" \")+\" left\"),e.attributes.set(\"columnspacing\",(e.attributes.get(\"columnspacing\")||\"\").split(/ /).slice(0,o-1).join(\" \")+\" 0em\")},adjustTable:function(e,t){var n=e.getProperty(\"left\"),r=e.getProperty(\"right\");if(n||r){var i=e.Last,l=d.default.copyNode(i,t);n&&this.left(i,l,n,t),r&&this.right(i,l,r,t)}},allowEnv:{equation:!0,align:!0,gather:!0,flalign:!0,alignat:!0,multline:!0},checkEnv:function(e){return this.allowEnv.hasOwnProperty(e.replace(/\\*$/,\"\"))||!1}}},\n      759: function _(e,t,r,n,a){var o=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var i=e(551),c=e(539),d=e(536),l=e(554),u=e(559);function f(e){var t,r,n=e.data;try{for(var a=o(n.getList(\"centerOver\")),i=a.next();!i.done;i=a.next()){var c=i.value,l=d.default.getTexClass(c.childNodes[0].childNodes[0]);null!==l&&d.default.setProperties(c.parent.parent.parent.parent.parent.parent,{texClass:l})}}catch(e){t={error:e}}finally{try{i&&!i.done&&(r=a.return)&&r.call(a)}finally{if(t)throw t.error}}}new l.CommandMap(\"centernot\",{centerOver:\"CenterOver\",centernot:[\"Macro\",\"\\\\centerOver{#1}{{\\u29f8}}\",1]},{CenterOver:function(e,t){var r=\"{\"+e.GetArgument(t)+\"}\",n=e.ParseArg(t),a=new c.default(r,e.stack.env,e.configuration).mml(),o=e.create(\"node\",\"TeXAtom\",[new c.default(r,e.stack.env,e.configuration).mml(),e.create(\"node\",\"mpadded\",[e.create(\"node\",\"mpadded\",[n],{width:0,lspace:\"-.5width\"}),e.create(\"node\",\"mphantom\",[a])],{width:0,lspace:\"-.5width\"})]);e.configuration.addNode(\"centerOver\",a),e.Push(o)},Macro:u.default.Macro}),r.filterCenterOver=f,r.CenternotConfiguration=i.Configuration.create(\"centernot\",{handler:{macro:[\"centernot\"]},postprocessors:[f]})},\n      760: function _(o,r,l,e,n){e();var c=o(554),a=o(551),t=o(761),i=o(762);new c.CommandMap(\"color\",{color:\"Color\",textcolor:\"TextColor\",definecolor:\"DefineColor\",colorbox:\"ColorBox\",fcolorbox:\"FColorBox\"},t.ColorMethods);l.ColorConfiguration=a.Configuration.create(\"color\",{handler:{macro:[\"color\"]},options:{color:{padding:\"5px\",borderWidth:\"2px\"}},config:function(o,r){r.parseOptions.packageData.set(\"color\",{model:new i.ColorModel})}})},\n      761: function _(e,o,t,r,a){r();var n=e(536),l=e(540);function c(e){var o=\"+\"+e,t=e.replace(/^.*?([a-z]*)$/,\"$1\");return{width:\"+\"+2*parseFloat(o)+t,height:o,depth:o,lspace:e}}t.ColorMethods={},t.ColorMethods.Color=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.itemFactory.create(\"style\").setProperties({styles:{mathcolor:a}});e.stack.env.color=a,e.Push(n)},t.ColorMethods.TextColor=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.stack.env.color;e.stack.env.color=a;var l=e.ParseArg(o);n?e.stack.env.color=n:delete e.stack.env.color;var c=e.create(\"node\",\"mstyle\",[l],{mathcolor:a});e.Push(c)},t.ColorMethods.DefineColor=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=e.GetArgument(o);e.configuration.packageData.get(\"color\").model.defineColor(r,t,a)},t.ColorMethods.ColorBox=function(e,o){var t=e.GetArgument(o),r=l.default.internalMath(e,e.GetArgument(o)),a=e.configuration.packageData.get(\"color\").model,d=e.create(\"node\",\"mpadded\",r,{mathbackground:a.getColor(\"named\",t)});n.default.setProperties(d,c(e.options.color.padding)),e.Push(d)},t.ColorMethods.FColorBox=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=l.default.internalMath(e,e.GetArgument(o)),d=e.options.color,g=e.configuration.packageData.get(\"color\").model,s=e.create(\"node\",\"mpadded\",a,{mathbackground:g.getColor(\"named\",r),style:\"border: \"+d.borderWidth+\" solid \"+g.getColor(\"named\",t)});n.default.setProperties(s,c(d.padding)),e.Push(s)}},\n      762: function _(e,r,t,o,n){var l=this&&this.__values||function(e){var r=\"function\"==typeof Symbol&&Symbol.iterator,t=r&&e[r],o=0;if(t)return t.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&o>=e.length&&(e=void 0),{value:e&&e[o++],done:!e}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var a=e(541),i=e(763),u=new Map,d=function(){function e(){this.userColors=new Map}return e.prototype.normalizeColor=function(e,r){if(!e||\"named\"===e)return r;if(u.has(e))return u.get(e)(r);throw new a.default(\"UndefinedColorModel\",\"Color model '%1' not defined\",e)},e.prototype.getColor=function(e,r){return e&&\"named\"!==e?this.normalizeColor(e,r):this.getColorByName(r)},e.prototype.getColorByName=function(e){return this.userColors.has(e)?this.userColors.get(e):i.COLORS.has(e)?i.COLORS.get(e):e},e.prototype.defineColor=function(e,r,t){var o=this.normalizeColor(e,t);this.userColors.set(r,o)},e}();t.ColorModel=d,u.set(\"rgb\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"rgb\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^(\\d+(\\.\\d*)?|\\.\\d+)$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var f=parseFloat(d);if(f<0||f>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"rgb\",\"0\",\"1\");var s=Math.floor(255*f).toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"RGB\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"RGB\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^\\d+$/))throw new a.default(\"InvalidNumber\",\"Invalid number\");var f=parseInt(d);if(f>255)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"RGB\",\"0\",\"255\");var s=f.toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"gray\",(function(e){if(!e.match(/^\\s*(\\d+(\\.\\d*)?|\\.\\d+)\\s*$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var r=parseFloat(e);if(r<0||r>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"gray\",\"0\",\"1\");var t=Math.floor(255*r).toString(16);return t.length<2&&(t=\"0\"+t),\"#\"+t+t+t}))},\n      763: function _(e,n,r,l,B){l(),r.COLORS=new Map([[\"Apricot\",\"#FBB982\"],[\"Aquamarine\",\"#00B5BE\"],[\"Bittersweet\",\"#C04F17\"],[\"Black\",\"#221E1F\"],[\"Blue\",\"#2D2F92\"],[\"BlueGreen\",\"#00B3B8\"],[\"BlueViolet\",\"#473992\"],[\"BrickRed\",\"#B6321C\"],[\"Brown\",\"#792500\"],[\"BurntOrange\",\"#F7921D\"],[\"CadetBlue\",\"#74729A\"],[\"CarnationPink\",\"#F282B4\"],[\"Cerulean\",\"#00A2E3\"],[\"CornflowerBlue\",\"#41B0E4\"],[\"Cyan\",\"#00AEEF\"],[\"Dandelion\",\"#FDBC42\"],[\"DarkOrchid\",\"#A4538A\"],[\"Emerald\",\"#00A99D\"],[\"ForestGreen\",\"#009B55\"],[\"Fuchsia\",\"#8C368C\"],[\"Goldenrod\",\"#FFDF42\"],[\"Gray\",\"#949698\"],[\"Green\",\"#00A64F\"],[\"GreenYellow\",\"#DFE674\"],[\"JungleGreen\",\"#00A99A\"],[\"Lavender\",\"#F49EC4\"],[\"LimeGreen\",\"#8DC73E\"],[\"Magenta\",\"#EC008C\"],[\"Mahogany\",\"#A9341F\"],[\"Maroon\",\"#AF3235\"],[\"Melon\",\"#F89E7B\"],[\"MidnightBlue\",\"#006795\"],[\"Mulberry\",\"#A93C93\"],[\"NavyBlue\",\"#006EB8\"],[\"OliveGreen\",\"#3C8031\"],[\"Orange\",\"#F58137\"],[\"OrangeRed\",\"#ED135A\"],[\"Orchid\",\"#AF72B0\"],[\"Peach\",\"#F7965A\"],[\"Periwinkle\",\"#7977B8\"],[\"PineGreen\",\"#008B72\"],[\"Plum\",\"#92268F\"],[\"ProcessBlue\",\"#00B0F0\"],[\"Purple\",\"#99479B\"],[\"RawSienna\",\"#974006\"],[\"Red\",\"#ED1B23\"],[\"RedOrange\",\"#F26035\"],[\"RedViolet\",\"#A1246B\"],[\"Rhodamine\",\"#EF559F\"],[\"RoyalBlue\",\"#0071BC\"],[\"RoyalPurple\",\"#613F99\"],[\"RubineRed\",\"#ED017D\"],[\"Salmon\",\"#F69289\"],[\"SeaGreen\",\"#3FBC9D\"],[\"Sepia\",\"#671800\"],[\"SkyBlue\",\"#46C5DD\"],[\"SpringGreen\",\"#C6DC67\"],[\"Tan\",\"#DA9D76\"],[\"TealBlue\",\"#00AEB3\"],[\"Thistle\",\"#D883B7\"],[\"Turquoise\",\"#00B4CE\"],[\"Violet\",\"#58429B\"],[\"VioletRed\",\"#EF58A0\"],[\"White\",\"#FFFFFF\"],[\"WildStrawberry\",\"#EE2967\"],[\"Yellow\",\"#FFF200\"],[\"YellowGreen\",\"#98CC70\"],[\"YellowOrange\",\"#FAA21A\"]])},\n      764: function _(o,r,e,a,c){a();var l=o(554),n=o(551);e.ColorV2Methods={Color:function(o,r){var e=o.GetArgument(r),a=o.stack.env.color;o.stack.env.color=e;var c=o.ParseArg(r);a?o.stack.env.color=a:delete o.stack.env.color;var l=o.create(\"node\",\"mstyle\",[c],{mathcolor:e});o.Push(l)}},new l.CommandMap(\"colorv2\",{color:\"Color\"},e.ColorV2Methods),e.ColorConfiguration=n.Configuration.create(\"colorv2\",{handler:{macro:[\"colorv2\"]}})},\n      765: function _(o,t,r,e,n){var l,c=this&&this.__extends||(l=function(o,t){return l=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(o,t){o.__proto__=t}||function(o,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(o[r]=t[r])},l(o,t)},function(o,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=o}l(o,t),o.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});e();var a=o(556),i=o(551),s=o(554),u=o(541),p=function(o){function t(){var t=null!==o&&o.apply(this,arguments)||this;return t.color={cell:\"\",row:\"\",col:[]},t.hasColor=!1,t}return c(t,o),t.prototype.EndEntry=function(){o.prototype.EndEntry.call(this);var t=this.row[this.row.length-1],r=this.color.cell||this.color.row||this.color.col[this.row.length-1];r&&(t.attributes.set(\"mathbackground\",r),this.color.cell=\"\",this.hasColor=!0)},t.prototype.EndRow=function(){o.prototype.EndRow.call(this),this.color.row=\"\"},t.prototype.createMml=function(){var t=o.prototype.createMml.call(this),r=t.isKind(\"mrow\")?t.childNodes[1]:t;return r.isKind(\"menclose\")&&(r=r.childNodes[0].childNodes[0]),this.hasColor&&\"none\"===r.attributes.get(\"frame\")&&r.attributes.set(\"frame\",\"\"),t},t}(a.ArrayItem);r.ColorArrayItem=p,new s.CommandMap(\"colortbl\",{cellcolor:[\"TableColor\",\"cell\"],rowcolor:[\"TableColor\",\"row\"],columncolor:[\"TableColor\",\"col\"]},{TableColor:function(o,t,r){var 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function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n       */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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d=e(\"tslib\");c(\"AcePlot\",e(\"2e12ebdb23\").AcePlot),c(\"Audio\",e(\"33955cfa6f\").Audio),c(\"Card\",e(\"0972f6e77b\").Card),c(\"CommManager\",e(\"754fbb1f55\").CommManager),c(\"CustomSelect\",e(\"e258e515be\").CustomSelect),c(\"DataTabulator\",e(\"514284d52d\").DataTabulator),c(\"DatetimePicker\",e(\"b843627155\").DatetimePicker),c(\"DeckGLPlot\",e(\"0155f7af4d\").DeckGLPlot),c(\"ECharts\",e(\"9d046c4720\").ECharts),c(\"HTML\",e(\"3d7593ca5a\").HTML),c(\"IDOM\",e(\"7d45bd3bc4\").IDOM),c(\"IPyWidget\",e(\"5ad9f86156\").IPyWidget),c(\"JSON\",e(\"0d30bea0c8\").JSON),c(\"JSONEditor\",e(\"5379466860\").JSONEditor),c(\"FileDownload\",e(\"9c8ebc5d9b\").FileDownload),c(\"KaTeX\",e(\"7b859fb3cf\").KaTeX),c(\"Location\",e(\"aca9ec82ba\").Location),c(\"MathJax\",e(\"0c21036737\").MathJax),c(\"Perspective\",e(\"4ae96bd77b\").Perspective),c(\"Player\",e(\"588a5ae70d\").Player),c(\"PlotlyPlot\",e(\"29668762ee\").PlotlyPlot),c(\"Progress\",e(\"6f9142671f\").Progress),c(\"QuillInput\",e(\"d51a79a0a3\").QuillInput),c(\"ReactiveHTML\",e(\"ad426de39c\").ReactiveHTML),c(\"SingleSelect\",e(\"ab54efe08a\").SingleSelect),c(\"SpeechToText\",e(\"a96be0bcc9\").SpeechToText),c(\"State\",e(\"bfa46a5f19\").State),c(\"Tabs\",e(\"ab17724bd6\").Tabs),c(\"Terminal\",e(\"3ea011fa55\").Terminal),c(\"TextToSpeech\",e(\"33cd2c254e\").TextToSpeech),c(\"TrendIndicator\",e(\"effe070807\").TrendIndicator),c(\"VegaPlot\",e(\"fea356270f\").VegaPlot),c(\"Video\",e(\"1b46fd56a8\").Video),c(\"VideoStream\",e(\"e3e9b8e495\").VideoStream),(0,d.__exportStar)(e(\"c51f25e2a7\"),t)},\n 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d.PanelHTMLBoxView{initialize(){super.initialize(),this._container=(0,a.div)({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\",zIndex:0}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,(()=>this._update_code_from_model())),this.connect(this.model.properties.theme.change,(()=>this._update_theme())),this.connect(this.model.properties.language.change,(()=>this._update_language())),this.connect(this.model.properties.filename.change,(()=>this._update_filename())),this.connect(this.model.properties.print_margin.change,(()=>this._update_print_margin())),this.connect(this.model.properties.annotations.change,(()=>this._add_annotations())),this.connect(this.model.properties.readonly.change,(()=>{this._editor.setReadOnly(this.model.readonly)}))}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=window.ace.edit(this._container.id),this._langTools=window.ace.require(\"ace/ext/language_tools\"),this._modelist=window.ace.require(\"ace/ext/modelist\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._update_theme(),this._update_filename(),this._update_language(),this._editor.setReadOnly(this.model.readonly),this._editor.setShowPrintMargin(this.model.print_margin),this._editor.on(\"change\",(()=>this._update_code_from_editor()))}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_print_margin(){this._editor.setShowPrintMargin(this.model.print_margin)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(`ace/theme/${this.model.theme}`)}_update_filename(){if(this.model.filename){const e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(`ace/mode/${this.model.language}`)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=h,h.__name__=\"AcePlotView\";class _ extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:i,String:o})=>({code:[o,\"\"],filename:[o],language:[o],theme:[o,\"chrome\"],annotations:[t(e),[]],readonly:[i,!1],print_margin:[i,!1]}))),this.override({height:300,width:300})}}i.AcePlot=_,_.__name__=\"AcePlot\",_.__module__=\"panel.models.ace\",_.init_AcePlot()},\n      \"80a6464b1f\": function _(e,s,i,t,h){t();const n=e(\"@bokehjs/core/dom\"),o=e(\"@bokehjs/core/util/color\"),l=e(\"@bokehjs/core/layout/html\"),a=e(\"@bokehjs/core/layout/types\"),_=e(\"@bokehjs/models/widgets/markup\"),c=e(\"@bokehjs/models/layouts/html_box\");function d(e,s){let i=null!=s.width?\"fixed\":\"fit\",t=null!=s.height?\"fixed\":\"fit\";const{sizing_mode:h}=s;if(null!=h)if(\"fixed\"==h)i=t=\"fixed\";else if(\"stretch_both\"==h)i=t=\"max\";else if(\"stretch_width\"==h)i=\"max\";else if(\"stretch_height\"==h)t=\"max\";else switch(h){case\"scale_width\":i=\"max\",t=\"min\";break;case\"scale_height\":i=\"min\",t=\"max\";break;case\"scale_both\":i=\"max\",t=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==i&&s.width?e.style.width=s.width+\"px\":\"max\"==i&&(e.style.width=\"100%\"),null!=s.min_width&&(e.style.minWidth=s.min_width+\"px\"),null!=s.max_width&&(e.style.maxWidth=s.max_width+\"px\"),\"fixed\"==t&&s.height?e.style.height=s.height+\"px\":\"max\"==t&&(e.style.height=\"100%\"),null!=s.min_height&&(e.style.minHeight=s.min_height+\"px\"),null!=s.max_width&&(e.style.maxHeight=s.max_height+\"px\")}i.set_size=d;class r extends l.VariadicBox{constructor(e,s,i){super(e),this.el=e,this.sizing_mode=s,this.changed=i,this._cache=new Map,this._cache_count=new Map}_measure(e){const s=[e.width,e.height,this.sizing_mode].toString(),i=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,t=this._cache.get(s),h=this._cache_count.get(s);if(null!=t&&null!=h&&h>=i)return this._cache_count.set(s,h+1),t;const o=new a.Sizeable(e).bounded_to(this.sizing.size),l=(0,n.sized)(this.el,o,(()=>{const e=new a.Sizeable((0,n.content_size)(this.el)),{border:s,padding:i}=(0,n.extents)(this.el);return e.grow_by(s).grow_by(i).map(Math.ceil)}));return this._cache.set(s,l),this._cache_count.set(s,0),l}invalidate_cache(){}}i.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\";class m extends _.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.markup_el,this.model)}}i.PanelMarkupView=m,m.__name__=\"PanelMarkupView\";class g extends c.HTMLBoxView{connect_signals(){super.connect_signals();const{css_classes:e,background:s}=this.model.properties;this._prev_css_classes=this.model.css_classes,this.on_change([e,s],(()=>{const e=[];let s=!1;for(const i of this.model.css_classes)\"pn-loading\"===i?s=!0:s?s=!1:e.push(i);const i=this._prev_css_classes;if(JSON.stringify(e)===JSON.stringify(i)){const{background:e}=this.model;this.el.style.backgroundColor=null!=e?(0,o.color2css)(e):\"\",(0,n.classes)(this.el).clear().add(...this.css_classes())}else this.invalidate_render();this._prev_css_classes=e}))}on_change(e,s){const i=this.model.properties;2===e.length&&e[0]===i.background&&e[1]===i.css_classes||super.on_change(e,s)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.el,this.model)}}i.PanelHTMLBoxView=g,g.__name__=\"PanelHTMLBoxView\"},\n      \"33955cfa6f\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"80a6464b1f\");class u extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume())),this.connect(this.model.properties.muted.change,(()=>this.set_muted())),this.connect(this.model.properties.autoplay.change,(()=>this.set_autoplay()))}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,this.audioEl.muted=this.model.muted,this.audioEl.autoplay=this.model.autoplay,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_muted(){this.audioEl.muted=this.model.muted}set_autoplay(){this.audioEl.autoplay=this.model.autoplay}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=u,u.__name__=\"AudioView\";class a extends l.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=u,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],muted:[t,!1],autoplay:[t,!1],time:[o,0],throttle:[o,250],value:[e,\"\"],volume:[i]})))}}i.Audio=a,a.__name__=\"Audio\",a.__module__=\"panel.models.widgets\",a.init_Audio()},\n      \"0972f6e77b\": function _(e,l,s,t,o){t();const i=e(\"tslib\"),a=e(\"@bokehjs/models/layouts/column\"),d=e(\"@bokehjs/core/util/bbox\"),c=(0,i.__importStar)(e(\"@bokehjs/core/dom\")),n=e(\"@bokehjs/core/dom\"),h=e(\"@bokehjs/core/layout/grid\"),r=e(\"@bokehjs/core/util/color\");class _ extends a.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,(()=>this._collapse()));const{active_header_background:e,header_background:l,header_color:s,hide_header:t}=this.model.properties;this.on_change([e,l,s,t],(()=>this.render()))}_update_layout(){let e;e=this.model.hide_header?this.child_views.slice(1):this.model.collapsed?this.child_views.slice(0,1):this.child_views;const l=e.map((e=>e.layout));this.layout=new h.Column(l),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}update_position(){if(this.model.collapsible&&!this.model.hide_header){const e=this.child_views[0],l=e.layout.bbox,s=e.layout.inner_bbox;if(0!=l.x1){let t;if(this.model.collapsible){const e=getComputedStyle(this.button_el.children[0]);t=parseFloat(e.width)+parseFloat(e.marginLeft)||0}else t=0;const o=new d.BBox({x0:l.x0,x1:l.x1-t,y0:l.y0,y1:l.y1}),i=new d.BBox({x0:s.x0,x1:s.x1-t,y0:s.y0,y1:s.y1});e.layout.set_geometry(o,i)}}super.update_position()}render(){(0,n.empty)(this.el);const{background:e,button_css_classes:l,header_color:s,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?(0,r.color2css)(e):\"\",(0,n.classes)(this.el).clear().add(...this.css_classes());let i=this.model.header_background;!this.model.collapsed&&this.model.active_header_background&&(i=this.model.active_header_background);const a=this.child_views[0];let d;if(this.model.collapsible){this.button_el=c.createElement(\"button\",{type:\"button\",class:o});const e=c.createElement(\"div\",{class:l});e.innerHTML=this.model.collapsed?\"\\u25ba\":\"\\u25bc\",this.button_el.appendChild(e),this.button_el.style.backgroundColor=null!=i?i:\"\",a.el.style.backgroundColor=null!=i?i:\"\",this.button_el.appendChild(a.el),this.button_el.onclick=()=>this._toggle_button(),d=this.button_el}else d=c.createElement(t,{class:o}),d.style.backgroundColor=null!=i?i:\"\",d.appendChild(a.el);this.model.hide_header||(d.style.color=null!=s?s:\"\",this.el.appendChild(d),a.render());for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return c.createElement(this.model.tag,{class:this.css_classes()})}}s.CardView=_,_.__name__=\"CardView\";class u extends a.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=_,this.define((({Array:e,Boolean:l,Nullable:s,String:t})=>({active_header_background:[s(t),null],button_css_classes:[e(t),[]],collapsed:[l,!0],collapsible:[l,!0],header_background:[s(t),null],header_color:[s(t),null],header_css_classes:[e(t),[]],header_tag:[t,\"div\"],hide_header:[l,!1],tag:[t,\"div\"]})))}}s.Card=u,u.__name__=\"Card\",u.__module__=\"panel.models.layout\",u.init_Card()},\n      \"754fbb1f55\": function _(e,t,s,n,i){n();const o=e(\"@bokehjs/document\"),_=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),h=e(\"@bokehjs/protocol/message\"),l=e(\"@bokehjs/protocol/receiver\");s.comm_settings={debounce:!0};class a extends _.View{renderTo(){}}s.CommManagerView=a,a.__name__=\"CommManagerView\";class d extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new l.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,(e=>{for(const t of this.ns.shared_views.get(this.plot_id))t!==this&&t.msg_handler(e);this.msg_handler(e)})),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,(e=>this.on_ack(e))),null==this.ns.shared_views&&(this.ns.shared_views=new Map),this.ns.shared_views.has(this.plot_id)?this.ns.shared_views.get(this.plot_id).push(this):this.ns.shared_views.set(this.plot_id,[this])):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof o.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),s.comm_settings.debounce?(!this._blocked||Date.now()>this._timeout)&&(setTimeout((()=>this.process_events()),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout):this.process_events()))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=h.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t);for(const t of this.ns.shared_views.get(this.plot_id))t!==this&&null!=t.document&&t.document.apply_json_patch(e,[],this.id)}disconnect_signals(){super.disconnect_signals(),this.ns.shared_views.shared_views.delete(this.plot_id)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,s=e.buffers,n=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=s&&s.length>0?this._receiver.consume(s[0].buffer):this._receiver.consume(n);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=a,this.define((({Int:e,String:t})=>({plot_id:[t],comm_id:[t],client_comm_id:[t],timeout:[e,5e3],debounce:[e,50]})))}}s.CommManager=d,d.__name__=\"CommManager\",d.__module__=\"panel.models.comm_manager\",d.init_CommManager()},\n      \"e258e515be\": function _(e,t,s,o,i){var l;o();const d=e(\"@bokehjs/models/widgets/selectbox\");class n extends d.SelectView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled_options.change,(()=>this._update_disabled_options()))}options_el(){let e=super.options_el();return e.forEach((e=>{this.model.disabled_options.includes(e.value)&&e.setAttribute(\"disabled\",\"true\")})),e}_update_disabled_options(){for(const e of this.input_el.options)this.model.disabled_options.includes(e.value)?e.setAttribute(\"disabled\",\"true\"):e.removeAttribute(\"disabled\")}}s.CustomSelectView=n,n.__name__=\"CustomSelectView\";class _ extends d.Select{constructor(e){super(e)}}s.CustomSelect=_,l=_,_.__name__=\"CustomSelect\",_.__module__=\"panel.models.widgets\",l.prototype.default_view=n,l.define((({Array:e,String:t})=>({disabled_options:[e(t),[]]})))},\n      \"514284d52d\": function _(t,e,i,o,s){o();const l=t(\"@bokehjs/core/dom\"),n=t(\"@bokehjs/core/util/types\"),a=t(\"@bokehjs/models/layouts/html_box\"),r=t(\"@bokehjs/core/build_views\"),d=t(\"@bokehjs/core/bokeh_events\"),h=t(\"@bokehjs/core/dom\"),u=t(\"@bokehjs/core/kinds\"),c=t(\"@bokehjs/models/sources/column_data_source\"),m=t(\"@bokehjs/models/widgets/tables\"),g=t(\"99a25e6992\"),f=t(\"754fbb1f55\"),_=t(\"7f7d9e0c6b\"),p=t(\"80a6464b1f\");class b extends d.ModelEvent{constructor(t,e,i){super(),this.column=t,this.row=e,this.pre=i,this.event_name=\"table-edit\"}_to_json(){return{model:this.origin,column:this.column,row:this.row,pre:this.pre}}}i.TableEditEvent=b,b.__name__=\"TableEditEvent\";class w extends d.ModelEvent{constructor(t,e){super(),this.column=t,this.row=e,this.event_name=\"cell-click\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}function y(t,e,i){for(const o of i)if(o[t]==e)return o;return null}function x(t,e,i,o=0){const s={};if(0==t.length)return s;const l=i[o];for(const a of t){const t=x(a._children,e,i,o+1);for(const e in t)(0,n.isArray)(t[e])?a[e]=t[e].reduce(((t,e)=>t+e),0)/t[e].length:a[e]=t[e];for(const t of e.slice(1)){const e=a[t.field];if(t.field in s){const i=s[t.field];\"min\"===l?s[t.field]=Math.min(e,i):\"max\"===l?s[t.field]=Math.max(e,i):\"sum\"===l?s[t.field]=e+i:\"mean\"===l&&((0,n.isArray)(s[t.field])?s[t.field].push(e):s[t.field]=[i,e])}else s[t.field]=e}}return s}function v(t,e,i,o){const s=[],l=e[0].field;for(const o of t){const t=o[i[0]];let n=y(l,t,s);null==n&&(n={_children:[]},n[l]=t,s.push(n));let a=n;const r={};for(const t of i.slice(1)){a=y(l,o[t],a._children),null==a&&(a={_children:[]},a[l]=o[t],n._children.push(a)),r[t]=n;for(const t of e.slice(1))a[t.field]=o[t];n=a}for(const t of e.slice(1))a[t.field]=o[t.field]}const n=[];for(const t of i)n.push(t in o?o[t]:\"sum\");return x(s,e,n),s}i.CellClickEvent=w,w.__name__=\"CellClickEvent\";const C=function(t,e,i,o,s,l,n){let a;a=0;const r={zone:new window.luxon.IANAZone(\"UTC\")};if(t=\"-9223372036854776\"==String(t)?window.luxon.DateTime.fromISO(\"invalid\"):window.luxon.DateTime.fromMillis(t,r),e=\"-9223372036854776\"==String(e)?window.luxon.DateTime.fromISO(\"invalid\"):window.luxon.DateTime.fromMillis(e,r),t.isValid){if(e.isValid)return t-e;a=1}else a=e.isValid?-1:0;return a*=-1,a},T=function(t,e,i,o){const s=t.getValue(),l={zone:new window.luxon.IANAZone(\"UTC\")};let n;n=\"NaN\"===s||null===s?null:window.luxon.DateTime.fromMillis(s,l).toFormat(\"yyyy-MM-dd\");const a=document.createElement(\"input\");function r(){const t=window.luxon.DateTime.fromFormat(a.value,\"yyyy-MM-dd\",l).toMillis();t!=n?i(t):o()}return a.setAttribute(\"type\",\"date\"),a.style.padding=\"4px\",a.style.width=\"100%\",a.style.boxSizing=\"border-box\",a.value=n,e((()=>{a.focus(),a.style.height=\"100%\"})),a.addEventListener(\"blur\",r),a.addEventListener(\"keydown\",(function(t){13==t.keyCode&&r(),27==t.keyCode&&o()})),a},S=function(t,e,i,o){const s=t.getValue(),l={zone:new window.luxon.IANAZone(\"UTC\")};let n;n=\"NaN\"===s||null===s?null:window.luxon.DateTime.fromMillis(s,l).toFormat(\"yyyy-MM-dd'T'T\");const a=document.createElement(\"input\");function r(){const t=window.luxon.DateTime.fromFormat(a.value,\"yyyy-MM-dd'T'T\",l).toMillis();t!=n?i(t):o()}return a.setAttribute(\"type\",\"datetime-local\"),a.style.padding=\"4px\",a.style.width=\"100%\",a.style.boxSizing=\"border-box\",a.value=n,e((()=>{a.focus(),a.style.height=\"100%\"})),a.addEventListener(\"blur\",r),a.addEventListener(\"keydown\",(function(t){13==t.keyCode&&r(),27==t.keyCode&&o()})),a};class M extends p.PanelHTMLBoxView{constructor(){super(...arguments),this.columns=new Map,this._tabulator_cell_updating=!1,this._updating_page=!0,this._updating_sort=!1,this._relayouting=!1,this._selection_updating=!1,this._lastVerticalScrollbarTopPosition=0,this._applied_styles=!1,this._building=!1}connect_signals(){super.connect_signals();const t=this.model.properties,{configuration:e,layout:i,columns:o,theme:s,groupby:l}=t;this.on_change([e,i,l],(0,g.debounce)((()=>this.invalidate_render()),20,!1)),this.on_change([o],(()=>{this.tabulator.setColumns(this.getColumns()),this.setHidden()})),this.on_change([s],(()=>this.setCSS())),this.connect(t.download.change,(()=>{const t=this.model.filename.endsWith(\".json\")?\"json\":\"csv\";this.tabulator.download(t,this.model.filename)})),this.connect(t.children.change,(()=>this.renderChildren())),this.connect(t.expanded.change,(()=>{for(const t of this.tabulator.rowManager.getRows())t.cells.length>0&&t.cells[0].layoutElement();for(const t of this.tabulator.rowManager.getRows())if(t.cells.length>0){const e=t.data._index,i=this.model.expanded.indexOf(e)<0?\"\\u25ba\":\"\\u25bc\";t.cells[1].element.innerText=i}})),this.connect(t.styles.change,(()=>{this._applied_styles&&this.tabulator.redraw(!0),this.setStyles()})),this.connect(t.hidden_columns.change,(()=>{this.setHidden(),this.tabulator.redraw(!0)})),this.connect(t.page_size.change,(()=>this.setPageSize())),this.connect(t.page.change,(()=>{this._updating_page||this.setPage()})),this.connect(t.max_page.change,(()=>this.setMaxPage())),this.connect(t.frozen_rows.change,(()=>this.setFrozen())),this.connect(t.sorters.change,(()=>this.setSorters())),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.source.streaming,(()=>this.addData())),this.connect(this.model.source.patching,(()=>{const t=this.model.source.selected.indices;this.updateOrAddData(),this.tabulator.rowManager.element.scrollTop=this._lastVerticalScrollbarTopPosition,this.model.source.selected.indices=t})),this.connect(this.model.source.selected.change,(()=>this.setSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.setSelection()))}get sorters(){const t=[];this.model.sorters.length&&t.push({column:\"_index\",dir:\"asc\"});for(const e of this.model.sorters.reverse())void 0===e.column&&(e.column=e.field),t.push(e);return t}invalidate_render(){this.tabulator.destroy(),this.tabulator=null,this.render(),this.relayout()}redraw(){this._building||(null!=this.tabulator.columnManager.element&&this.tabulator.columnManager.redraw(!0),null!=this.tabulator.rowManager.renderer&&(this.tabulator.rowManager.redraw(!0),this.setStyles()))}after_layout(){super.after_layout(),null==this.tabulator||this._relayouting&&!this._initializing||this.redraw()}render(){super.render();if(this.setCSS())return;this._initializing=!0;const t=(0,h.div)({class:\"pnx-tabulator\"});(0,p.set_size)(t,this.model);let e=this.getConfiguration();this.tabulator=new Tabulator(t,e),this.init_callbacks(),this.renderChildren(!0),this.setHidden(),this.el.appendChild(t)}tableInit(){this._building=!0;this.tabulator.modules.ajax.sendRequest=(t,e,i)=>this.requestPage(e.page,e.sort),this.tabulator.modules.page._parseRemoteData=()=>!1}init_callbacks(){this.tabulator.on(\"tableBuilding\",(()=>this.tableInit())),this.tabulator.on(\"tableBuilt\",(()=>this.tableBuilt())),this.tabulator.on(\"dataLoading\",(()=>{this.tabulator.modules.frozenColumns.active=!1})),this.tabulator.on(\"selectableCheck\",(t=>{const e=this.model.selectable_rows;return null==e||e.indexOf(t._row.data._index)>=0})),this.tabulator.on(\"tooltips\",(t=>t.getColumn().getField()+\": \"+t.getValue())),this.tabulator.on(\"scrollVertical\",(0,g.debounce)((()=>{this.setStyles()}),50,!1)),this.tabulator.on(\"rowFormatter\",(t=>this._render_row(t))),this.tabulator.on(\"rowSelectionChanged\",((t,e)=>this.rowSelectionChanged(t,e))),this.tabulator.on(\"rowClick\",((t,e)=>this.rowClicked(t,e))),this.tabulator.on(\"cellEdited\",(t=>this.cellEdited(t))),this.tabulator.on(\"dataFiltering\",(t=>{this.model.filters=t})),this.tabulator.on(\"dataFiltered\",((t,e)=>{this._initializing||(0===e.length&&this.tabulator.rowManager.renderEmptyScroll(),this.updatePage(this.tabulator.getPage()))})),this.tabulator.on(\"pageLoaded\",(t=>{this.updatePage(t)})),this.tabulator.on(\"dataSorting\",(t=>{const e=[];for(const i of t)\"_index\"!==i.field&&e.push({field:i.field,dir:i.dir});\"remote\"!==this.model.pagination&&(this._updating_sort=!0,this.model.sorters=e,this._updating_sort=!1)}))}tableBuilt(){this._building=!1,this.setHidden(),this.setSelection(),this.setMaxPage(),this.tabulator.setPage(this.model.page),this.setStyles(),this.renderChildren(),this.setGroupBy(),this.setFrozen(),this.tabulator.modules.frozenColumns.active=!0,this.tabulator.modules.frozenColumns.layout(),this._initializing=!1}relayout(){if(!this._relayouting){if(this._relayouting=!0,this.tabulator.rowManager.renderer&&this.tabulator.rowManager.adjustTableSize(),this.update_layout(),this.compute_layout(),this.root!==this){this.invalidate_layout();const t=this.root._parent;null!=t&&null!=t.relayout&&t.relayout()}else null!=this._parent&&(null!=this._parent.relayout?this._parent.relayout():this._parent.invalidate_layout());this._relayouting=!1}}requestPage(t,e){return new Promise(((i,o)=>{try{if(null!=t&&null!=e){this._updating_sort=!0;const i=[];for(const t of e)\"_index\"!==t.field&&i.push({field:t.field,dir:t.dir});this.model.sorters=i,this._updating_sort=!1,this._updating_page=!0;try{this.model.page=t||1}finally{this._updating_page=!1}}i([])}catch(t){o(t)}}))}getLayout(){switch(this.model.layout){case\"fit_data\":return\"fitData\";case\"fit_data_fill\":return\"fitDataFill\";case\"fit_data_stretch\":return\"fitDataStretch\";case\"fit_data_table\":return\"fitDataTable\";case\"fit_columns\":return\"fitColumns\"}}getConfiguration(){let t=\"toggle\"===this.model.select_mode||NaN,e=Object.assign(Object.assign({},this.model.configuration),{index:\"_index\",nestedFieldSeparator:!1,movableColumns:!1,selectable:t,columns:this.getColumns(),initialSort:this.sorters,layout:this.getLayout(),pagination:null!=this.model.pagination,paginationMode:this.model.pagination,paginationSize:this.model.page_size,paginationInitialPage:1});\"remote\"===this.model.pagination&&(e.ajaxURL=\"http://panel.pyviz.org\",e.sortMode=\"remote\");const i=this.model.source;let o;return o=null===i||0===i.columns().length?[]:(0,_.transform_cds_to_records)(i,!0),e.dataTree&&(o=v(o,this.model.columns,this.model.indexes,this.model.aggregators)),Object.assign(Object.assign({},e),{data:o})}renderChildren(t=!1){new Promise((async t=>{const e=[];for(const t of this.model.expanded)t in this.model.children&&e.push(this.model.children[t]);await(0,r.build_views)(this._child_views,e,{parent:null}),t(null)})).then((()=>{for(const t of this.model.expanded){const e=this.tabulator.getRow(t);this._render_row(e)}this.model.expanded.length||t||setTimeout((()=>this.relayout()),20)}))}_render_row(t){const e=t._row.data._index;if(this.model.expanded.indexOf(e)<0||!(e in this.model.children))return;const i=this.model.children[e],o=this._child_views.get(i);if(null==o)return;o._parent=this;const s=t.getElement();let l=s.children[s.children.length-1];if(\"bk\"===l.className){if(l.children.length)return}else l=null;if(null==l){const t=getComputedStyle(this.tabulator.element.children[1].children[0]).backgroundColor,e=\"-\"+s.style.paddingLeft;l=(0,h.div)({style:\"background-color: \"+t+\"; margin-left:\"+e})}t.getElement().appendChild(l),o.renderTo(l)}_expand_render(t){const e=t._cell.row.data._index;return\"<i>\"+(this.model.expanded.indexOf(e)<0?\"\\u25ba\":\"\\u25bc\")+\"</i>\"}_update_expand(t){const e=t._cell.row.data._index,i=[...this.model.expanded],o=i.indexOf(e);if(o<0)i.push(e);else{const t=i.splice(o,1)[0];if(t in this.model.children){const e=this.model.children[t],i=this._child_views.get(e);void 0!==i&&null!=i.el&&(0,l.undisplay)(i.el)}}if(this.model.expanded=i,i.indexOf(e)<0)return;let s=!0;for(const t of this.model.expanded)if(!(t in this.model.children)){s=!1;break}s&&this.renderChildren()}getData(){let t=(0,_.transform_cds_to_records)(this.model.source,!0);return this.model.configuration.dataTree&&(t=v(t,this.model.columns,this.model.indexes,this.model.aggregators)),t}getColumns(){var t;this.columns=new Map;const e=null===(t=this.model.configuration)||void 0===t?void 0:t.columns;let i=[];if(i.push({field:\"_index\",frozen:!0}),null!=e)for(const t of e)if(null!=t.columns){const e=[];for(const i of t.columns)e.push(Object.assign({},i));i.push(Object.assign(Object.assign({},t),{columns:e}))}else if(\"expand\"===t.formatter){const t={hozAlign:\"center\",cellClick:(t,e)=>{this._update_expand(e)},formatter:t=>this._expand_render(t),width:40,frozen:!0};i.push(t)}else{const e=Object.assign({},t);\"rowSelection\"===e.formatter&&(e.cellClick=(t,e)=>{e.getRow().toggleSelect()}),i.push(e)}for(const t of this.model.columns){let o=null;if(null!=e)for(const e of i)if(null!=e.columns){for(const i of e.columns)if(t.field===i.field){o=i;break}if(null!=o)break}else if(t.field===e.field){o=e;break}if(null==o&&(o={field:t.field}),this.columns.set(t.field,o),null==o.title&&(o.title=t.title),null==o.width&&null!=t.width&&0!=t.width&&(o.width=t.width),null==o.formatter&&null!=t.formatter){const e=t.formatter.type;o.formatter=\"BooleanFormatter\"===e?\"tickCross\":e=>{const i=t.formatter.doFormat(e.getRow(),e,e.getValue(),null,null);if(\"HTMLTemplateFormatter\"===t.formatter.type)return i;const o=(0,h.div)();o.innerHTML=i;const s=o.children[0];return\"function(){return c.convert(arguments)}\"===s.innerHTML?\"\":s}}\"timestamp\"==o.sorter&&(o.sorter=C);const s=t.editor,l=s.type;null!=o.editor?\"date\"===o.editor?o.editor=T:\"datetime\"===o.editor&&(o.editor=S):\"StringEditor\"===l?s.completions.length>0?(o.editor=\"list\",o.editorParams={values:s.completions,autocomplete:!0,listOnEmpty:!0}):o.editor=\"input\":\"TextEditor\"===l?o.editor=\"textarea\":\"IntEditor\"===l||\"NumberEditor\"===l?(o.editor=\"number\",o.editorParams={step:s.step},o.validator=\"IntEditor\"===l?\"integer\":\"numeric\"):\"CheckboxEditor\"===l?o.editor=\"tickCross\":\"DateEditor\"===l?o.editor=T:\"SelectEditor\"===l?(o.editor=\"list\",o.editorParams={values:s.options}):null!=s&&null!=s.default_view&&(o.editor=(e,i,o,s)=>{this.renderEditor(t,e,i,o,s)}),o.editable=()=>this.model.editable&&null!=s.default_view,o.headerFilter&&\"boolean\"==typeof o.headerFilter&&\"string\"==typeof o.editor&&(o.headerFilter=o.editor,o.headerFilterParams=o.editorParams);for(const t of this.model.sorters)o.field===t.field&&(o.headerSortStartingDir=t.dir);o.cellClick=(e,i)=>{const o=i.getData()._index;this.model.trigger_event(new w(t.field,o))},null==e&&i.push(o)}for(const t in this.model.buttons){const e={formatter:()=>this.model.buttons[t],hozAlign:\"center\",cellClick:(e,i)=>{const o=i.getData()._index;this.model.trigger_event(new w(t,o))}};i.push(e)}return i}renderEditor(t,e,i,o,s){const l=t.editor,n=new l.default_view({column:t,model:l,parent:this,container:e._cell.element});return n.initialize(),n.connect_signals(),i((()=>{n.setValue(e.getValue())})),n.inputEl.addEventListener(\"input\",(()=>{const t=n.serializeValue(),i=e.getValue(),l=n.validate();l.valid||s(l.msg),null!=i&&typeof t!=typeof i?s(\"Mismatching type\"):o(n.serializeValue())})),n.inputEl}setData(){const t=this.getData();null!=this.model.pagination?this.tabulator.rowManager.setData(t,!0,!1):this.tabulator.setData(t),this.postUpdate()}addData(){const t=this.tabulator.rowManager.getRows(),e=t[t.length-1],i=(null==e?void 0:e.data._index)||0;this.setData(),this.postUpdate(),this.model.follow&&e&&this.tabulator.scrollToRow(i,\"top\",!1)}postUpdate(){this.model.pagination||this.setFrozen(),this.setSelection(),null==this.model.height&&null==this.model.pagination&&this.relayout()}updateOrAddData(){if(this._tabulator_cell_updating)return;let t=(0,_.transform_cds_to_records)(this.model.source,!0);this.tabulator.setData(t),this.postUpdate()}setFrozen(){for(const t of this.model.frozen_rows)this.tabulator.getRow(t).freeze()}updatePage(t){\"local\"===this.model.pagination&&this.model.page!==t&&(this._updating_page=!0,this.model.page=t,this._updating_page=!1)}setGroupBy(){if(0==this.model.groupby.length)return void this.tabulator.setGroupBy(!1);const t=t=>{const e=[];for(const i of this.model.groupby){const o=i+\": \"+t[i];e.push(o)}return e.join(\", \")};this.tabulator.setGroupBy(t),this.tabulator.setGroupBy(t)}setSorters(){this._updating_sort||this.tabulator.setSort(this.sorters)}setCSS(){let t,e;\"default\"==this.model.theme?t=\"tabulator\":(e=\"bootstrap\"==this.model.theme?\"bootstrap3\":\"semantic-ui\"==this.model.theme?\"semanticui\":this.model.theme,t=\"tabulator_\"+e);const i=this.model.theme_url+t+\".min.css\";let o=null;const s=document.getElementsByTagName(\"link\"),l=this.model.theme_url.indexOf(\"dist/\"),n=this.model.theme_url.slice(0,l);for(const t of s)if(t.href.indexOf(n)>=0){o=t;break}if(null!=o)return!o.href.endsWith(i)&&(o.href=i,setTimeout((()=>this.render()),100),!0);let a=document.getElementsByTagName(\"head\")[0];const r=document.createElement(\"link\");return r.type=\"text/css\",r.rel=\"stylesheet\",r.media=\"screen\",r.href=i,r.onload=()=>{this._building||(this.render(),this.relayout())},a.appendChild(r),!0}setStyles(){if(null!=this.tabulator&&0!=this.tabulator.getDataCount()){this._applied_styles=!1;for(const t in this.model.styles.data){const e=this.model.styles.data[t],i=this.tabulator.getRow(t);if(!i)continue;const o=i._row.cells;for(const t in e){const i=e[t],s=o[t];if(null==s||!i.length)continue;const l=s.element;for(const t of i){let e,i;if((0,n.isArray)(t))[e,i]=t;else{if(!t.includes(\":\"))continue;[e,i]=t.split(\":\")}l.style.setProperty(e,i.trimLeft()),this._applied_styles=!0}}}}}setHidden(){for(const t of this.tabulator.getColumns()){const e=t._column;\"_index\"==e.field||this.model.hidden_columns.indexOf(e.field)>-1?t.hide():t.show()}}setMaxPage(){this.tabulator.setMaxPage(this.model.max_page),this.tabulator.modules.page.pagesElement&&this.tabulator.modules.page._setPageButtons()}setPage(){this.tabulator.setPage(Math.min(this.model.max_page,this.model.page))}setPageSize(){this.tabulator.setPageSize(this.model.page_size)}setSelection(){if(null==this.tabulator||this._selection_updating)return;const t=this.model.source.selected.indices,e=this.tabulator.getSelectedData().map((t=>t._index));if(JSON.stringify(t)!=JSON.stringify(e)){this._selection_updating=!0,this.tabulator.deselectRow(),this.tabulator.selectRow(t);for(const e of t){this.tabulator.rowManager.findRow(e)&&this.tabulator.scrollToRow(e,\"center\",!1).catch((()=>{}))}this._selection_updating=!1}}rowClicked(t,e){var i;if(this._selection_updating||this._initializing||\"string\"==typeof this.model.select_mode||!1===this.model.select_mode||this.model.configuration.dataTree||\"\\u25ba\"===(null===(i=t.srcElement)||void 0===i?void 0:i.innerText))return;let o=[];const s=this.model.source.selected,l=e._row.data._index;if(t.ctrlKey||t.metaKey)o=this.model.source.selected.indices;else if(t.shiftKey&&s.indices.length){const t=s.indices[s.indices.length-1];if(l>t)for(let e=t;e<l;e++)o.push(e);else for(let e=t;e>l;e--)o.push(e)}if(o.indexOf(l)<0?o.push(l):o.splice(o.indexOf(l),1),\"number\"==typeof this.model.select_mode)for(;o.length>this.model.select_mode;)o.shift();const n=this._filter_selected(o);this.tabulator.deselectRow(),this.tabulator.selectRow(n),this._selection_updating=!0,s.indices=n,this._selection_updating=!1}_filter_selected(t){const e=[];for(const i of t)(null==this.model.selectable_rows||this.model.selectable_rows.indexOf(i)>=0)&&e.push(i);return e}rowSelectionChanged(t,e){if(this._selection_updating||this._initializing||\"boolean\"==typeof this.model.select_mode||\"number\"==typeof this.model.select_mode||this.model.configuration.dataTree)return;const i=t.map((t=>t._index)),o=this._filter_selected(i);this._selection_updating=i.length===o.length,this.model.source.selected.indices=o,this._selection_updating=!1}cellEdited(t){const e=t._cell.column.field,i=this.columns.get(e),o=t.getData()._index,s=t._cell.value;if(\"numeric\"!==i.validator||\"\"!==s){this._tabulator_cell_updating=!0,f.comm_settings.debounce=!1,this.model.trigger_event(new b(e,o,!0));try{this.model.source.patch({[e]:[[o,s]]})}finally{f.comm_settings.debounce=!0,this._tabulator_cell_updating=!1}this.model.trigger_event(new b(e,o,!1)),this.tabulator.scrollToRow(o,\"top\",!1)}else t.setValue(NaN,!0)}}i.DataTabulatorView=M,M.__name__=\"DataTabulatorView\",i.TableLayout=(0,u.Enum)(\"fit_data\",\"fit_data_fill\",\"fit_data_stretch\",\"fit_data_table\",\"fit_columns\");class k extends a.HTMLBox{constructor(t){super(t)}static init_DataTabulator(){this.prototype.default_view=M,this.define((({Any:t,Array:e,Boolean:o,Nullable:s,Number:l,Ref:n,String:a})=>({aggregators:[t,{}],buttons:[t,{}],children:[t,{}],configuration:[t,{}],columns:[e(n(m.TableColumn)),[]],download:[o,!1],editable:[o,!0],expanded:[e(l),[]],filename:[a,\"table.csv\"],filters:[e(t),[]],follow:[o,!0],frozen_rows:[e(l),[]],groupby:[e(a),[]],hidden_columns:[e(a),[]],indexes:[e(a),[]],layout:[i.TableLayout,\"fit_data\"],max_page:[l,0],pagination:[s(a),null],page:[l,0],page_size:[l,0],select_mode:[t,!0],selectable_rows:[s(e(l)),null],source:[n(c.ColumnDataSource)],sorters:[e(t),[]],styles:[t,{}],theme:[a,\"simple\"],theme_url:[a,\"https://unpkg.com/tabulator-tables@5.3.2/dist/css/\"]})))}}i.DataTabulator=k,k.__name__=\"DataTabulator\",k.__module__=\"panel.models.tabulator\",k.init_DataTabulator()},\n      \"99a25e6992\": function _(n,l,u,t,e){function o(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}o.debounce=o,l.exports=o},\n      \"7f7d9e0c6b\": function _(n,t,e,o,r){o(),e.transform_cds_to_records=function(n,t=!1,e=0){const o=[],r=n.columns(),l=n.get_length();if(0===r.length||null===l)return[];for(let c=e;c<l;c++){const e={};for(const t of r){let o=n.get_array(t);const r=null==o[0].shape?null:o[0].shape;null!=r&&r.length>1&&\"number\"==typeof r[0]?e[t]=o.slice(c*r[1],c*r[1]+r[1]):e[t]=o[c]}t&&(e._index=c),o.push(e)}return o},e.dict_to_records=function(n,t=!0){for(let e=0;e<n.index.length;e++){const o={};for(const r of n)(t||\"index\"!==r)&&(o[r]=n[r][e])}return[]}},\n      \"b843627155\": function _(e,t,i,s,n){s();const l=e(\"tslib\"),o=(0,l.__importDefault)(e(\"50d3473f3f\")),a=e(\"@bokehjs/models/widgets/input_widget\"),d=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/enums\"),m=e(\"@bokehjs/core/util/types\"),c=(0,l.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\")),h=(0,l.__importDefault)(e(\"@bokehjs/styles/widgets/flatpickr.css\"));function _(e){const t=[];for(const i of e)if((0,m.isString)(i))t.push(i);else{const[e,s]=i;t.push({from:e,to:s})}return t}class u extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:s,enabled_dates:n,position:l,inline:o,enable_time:a,enable_seconds:d,military_time:r,date_format:m,mode:c}=this.model.properties;this.connect(e.change,(()=>{var e;return this.model.value?null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value):this._clear()})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(o.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableTime\",this.model.enable_time)})),this.connect(d.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableSeconds\",this.model.enable_seconds)})),this.connect(r.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"time_24hr\",this.model.military_time)})),this.connect(c.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"mode\",this.model.mode)})),this.connect(m.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"dateFormat\",this.model.date_format)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),h.default]}render(){null==this._picker&&(super.render(),this.input_el=(0,d.input)({type:\"text\",class:c.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date?new Date(this.model.min_date):void 0,maxDate:this.model.max_date?new Date(this.model.max_date):void 0,inline:this.model.inline,position:this.model.position,disable:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),enableTime:this.model.enable_time,enableSeconds:this.model.enable_seconds,time_24hr:this.model.military_time,dateFormat:this.model.date_format,mode:this.model.mode,onClose:(e,t,i)=>this._on_close(e,t,i)}),this._picker.maxDateHasTime=!0,this._picker.minDateHasTime=!0)}_clear(){var e;null===(e=this._picker)||void 0===e||e.clear(),this.model.value=null}_on_close(e,t,i){(\"range\"!=this.model.mode||t.includes(\"to\"))&&(this.model.value=t,this.change_input())}}i.DatetimePickerView=u,u.__name__=\"DatetimePickerView\";class p extends a.InputWidget{constructor(e){super(e)}static init_DatetimePicker(){this.prototype.default_view=u,this.define((({Boolean:e,String:t,Array:i,Tuple:s,Or:n,Nullable:l})=>{const o=i(n(t,s(t,t)));return{value:[l(t),null],min_date:[l(t),null],max_date:[l(t),null],disabled_dates:[o,[]],enabled_dates:[o,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1],enable_time:[e,!0],enable_seconds:[e,!0],military_time:[e,!0],date_format:[t,\"Y-m-d H:i:S\"],mode:[t,\"single\"]}}))}}i.DatetimePicker=p,p.__name__=\"DatetimePicker\",p.__module__=\"panel.models.datetime_picker\",p.init_DatetimePicker()},\n      \"50d3473f3f\": function _(e,n,t,a,i){\n      /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n      /*! *****************************************************************************\n              Copyright (c) Microsoft Corporation.\n          \n              Permission to use, copy, modify, and/or distribute this software for any\n              purpose with or without fee is hereby granted.\n          \n              THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n              REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n              AND FITNESS. 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a=m(\"cur-year\",{tabindex:\"-1\"}),i=a.getElementsByTagName(\"input\")[0];i.setAttribute(\"aria-label\",w.l10n.yearAriaLabel),w.config.minDate&&i.setAttribute(\"min\",w.config.minDate.getFullYear().toString()),w.config.maxDate&&(i.setAttribute(\"max\",w.config.maxDate.getFullYear().toString()),i.disabled=!!w.config.minDate&&w.config.minDate.getFullYear()===w.config.maxDate.getFullYear());var o=s(\"div\",\"flatpickr-current-month\");return o.appendChild(e),o.appendChild(a),t.appendChild(o),n.appendChild(t),{container:n,yearElement:i,monthElement:e}}function q(){u(w.monthNav),w.monthNav.appendChild(w.prevMonthNav),w.config.showMonths&&(w.yearElements=[],w.monthElements=[]);for(var e=w.config.showMonths;e--;){var n=U();w.yearElements.push(n.yearElement),w.monthElements.push(n.monthElement),w.monthNav.appendChild(n.container)}w.monthNav.appendChild(w.nextMonthNav)}function $(){w.weekdayContainer?u(w.weekdayContainer):w.weekdayContainer=s(\"div\",\"flatpickr-weekdays\");for(var e=w.config.showMonths;e--;){var n=s(\"div\",\"flatpickr-weekdaycontainer\");w.weekdayContainer.appendChild(n)}return z(),w.weekdayContainer}function z(){if(w.weekdayContainer){var e=w.l10n.firstDayOfWeek,t=n(w.l10n.weekdays.shorthand);e>0&&e<t.length&&(t=n(t.splice(e,t.length),t.splice(0,e)));for(var a=w.config.showMonths;a--;)w.weekdayContainer.children[a].innerHTML=\"\\n      <span class='flatpickr-weekday'>\\n        \"+t.join(\"</span><span class='flatpickr-weekday'>\")+\"\\n      </span>\\n      \"}}function G(e,n){void 0===n&&(n=!0);var t=n?e:e-w.currentMonth;t<0&&!0===w._hidePrevMonthArrow||t>0&&!0===w._hideNextMonthArrow||(w.currentMonth+=t,(w.currentMonth<0||w.currentMonth>11)&&(w.currentYear+=w.currentMonth>11?1:-1,w.currentMonth=(w.currentMonth+12)%12,pe(\"onYearChange\"),K()),J(),pe(\"onMonthChange\"),De())}function V(e){return!(!w.config.appendTo||!w.config.appendTo.contains(e))||w.calendarContainer.contains(e)}function Z(e){if(w.isOpen&&!w.config.inline){var n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&e<w.config.minDate.getFullYear()||w.config.maxDate&&e>w.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o<i.length;o++){if(\"function\"==typeof(r=i[o])&&r(t))return a;if(r instanceof Date&&void 0!==t&&r.getTime()===t.getTime())return a;if(\"string\"==typeof r&&void 0!==t){var l=w.parseDate(r,void 0,!0);return l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return w.setDate(w._input.value,!0,n===w.altInput?w.config.altFormat:w.config.dateFormat),n.blur();w.open()}else if(V(n)||i||o){var r=!!w.timeContainer&&w.timeContainer.contains(n);switch(e.keyCode){case 13:r?(e.preventDefault(),T(),se()):ue(e);break;case 27:e.preventDefault(),se();break;case 8:case 46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=y)X(new Date(c),!0)||(o=o||c>a&&c<i,c<t&&(!r||c>r)?r=c:c>t&&(!l||c<l)&&(l=c));for(var d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&c<t&&l.top>t,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return 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         to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let o,r;i();const c={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function s(){return document.createElement(\"div\")}function a(t){if(!t.picked)return null;if(t.object===o)return r;const e={html:u(t.object),style:c};return r=e,o=t.object,e}n.getTooltipDefault=a;const f=new Set([\"position\",\"index\"]);function u(t){const e=s();for(const n in t){if(f.has(n))continue;const i=s();i.className=\"header\",i.textContent=n;const l=s();l.className=\"value\",l.textContent=h(t[n]);const o=s();p(o,i,l),o.appendChild(i),o.appendChild(l),e.appendChild(o)}return 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     \"9d046c4720\": function _(t,e,s,h,i){h();const r=t(\"@bokehjs/models/layouts/html_box\");class n extends r.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>this._plot()));const{width:t,height:e,renderer:s,theme:h}=this.model.properties;this.on_change([t,e],(()=>this._resize())),this.on_change([h,s],(()=>this.render()))}render(){super.render();const t={width:this.model.width,height:this.model.height,renderer:this.model.renderer};null!=this._chart&&window.echarts.dispose(this._chart),this._chart=window.echarts.init(this.el,this.model.theme,t),this._plot()}after_layout(){super.after_layout(),this._chart.resize()}_plot(){null!=window.echarts&&this._chart.setOption(this.model.data)}_resize(){this._chart.resize({width:this.model.width,height:this.model.height})}}s.EChartsView=n,n.__name__=\"EChartsView\";class a extends r.HTMLBox{constructor(t){super(t)}static init_ECharts(){this.prototype.default_view=n,this.define((({Any:t,String:e})=>({data:[t,{}],theme:[e,\"default\"],renderer:[e,\"canvas\"]})))}}s.ECharts=a,a.__name__=\"ECharts\",a.__module__=\"panel.models.echarts\",a.init_ECharts()},\n      \"3d7593ca5a\": function _(e,t,n,s,r){s();const i=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/core/bokeh_events\"),l=e(\"80a6464b1f\"),_=e(\"d92f7d4d2b\");class a extends o.ModelEvent{constructor(e,t){super(),this.node=e,this.data=t,this.event_name=\"dom_event\"}_to_json(){return{model:this.origin,node:this.node,data:this.data}}}function d(e){return(new DOMParser).parseFromString(e,\"text/html\").documentElement.textContent}function c(e){Array.from(e.querySelectorAll(\"script\")).forEach((e=>{const t=document.createElement(\"script\");Array.from(e.attributes).forEach((e=>t.setAttribute(e.name,e.value))),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)}))}n.DOMEvent=a,a.__name__=\"DOMEvent\",n.htmlDecode=d,n.runScripts=c;class h extends l.PanelMarkupView{constructor(){super(...arguments),this._event_listeners={}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()}))}rerender(){this.render(),this.invalidate_layout()}render(){super.render();const e=this.process_tex();e?(this.markup_el.innerHTML=e,c(this.markup_el),this._setup_event_listeners()):this.markup_el.innerHTML=\"\"}process_tex(){const e=d(this.model.text)||this.model.text;if(this.model.disable_math||!this.contains_tex(e))return e;const t=this.provider.MathJax.find_tex(e),n=[];let s=0;for(const r of t)n.push(e.slice(s,r.start.n)),n.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),s=r.end.n;return s<e.length&&n.push(e.slice(s)),n.join(\"\")}contains_tex(e){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(e).length>0}_remove_event_listeners(){for(const e in this._event_listeners){const t=document.getElementById(e);if(null!=t)for(const n in this._event_listeners[e]){const s=this._event_listeners[e][n];t.removeEventListener(n,s)}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}this._event_listeners={}}_setup_event_listeners(){for(const e in this.model.events){const t=document.getElementById(e);if(null!=t)for(const n of this.model.events[e]){const s=t=>{this.model.trigger_event(new a(e,(0,_.serializeEvent)(t)))};t.addEventListener(n,s),e in this._event_listeners||(this._event_listeners[e]={}),this._event_listeners[e][n]=s}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}}}n.HTMLView=h,h.__name__=\"HTMLView\";class u extends i.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=h,this.define((({Any:e})=>({events:[e,{}]})))}}n.HTML=u,u.__name__=\"HTML\",u.__module__=\"panel.models.markup\",u.init_HTML()},\n      \"d92f7d4d2b\": function _(e,t,a,r,n){function i(e){let t=null;return e&&(t=function(e){return{boundingClientRect:Object.assign({},e.getBoundingClientRect())}}(e),e.tagName in l&&l[e.tagName].forEach((a=>Object.assign(t,a(e))))),t}r(),a.serializeEvent=\n      /*\n          The MIT License (MIT)\n          \n          Copyright (c) 2019 Ryan S. Morshead\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in all\n          copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n          SOFTWARE.\n          */\n      function(e){const t={};return void 0!==e.detail&&Object.assign(t,{detail:JSON.parse(JSON.stringify(e.detail))}),e.type in d&&Object.assign(t,d[e.type](e)),t.target=i(e.target),t.currentTarget=e.target===e.currentTarget?t.target:i(e.currentTarget),t.relatedTarget=i(e.relatedTarget),t};const o={hasValue:e=>({value:e.value}),hasCurrentTime:e=>({currentTime:e.currentTime}),hasFiles:e=>\"file\"===(null==e?void 0:e.type)?{files:Array.from(e.files).map((e=>({lastModified:e.lastModified,name:e.name,size:e.size,type:e.type})))}:{}};const s={hasValue:[\"BUTTON\",\"INPUT\",\"OPTION\",\"LI\",\"METER\",\"PROGRESS\",\"PARAM\",\"SELECT\",\"TEXTAREA\"],hasCurrentTime:[\"AUDIO\",\"VIDEO\"],hasFiles:[\"INPUT\"]},l={};Object.keys(s).forEach((e=>{s[e].forEach((t=>{(l[t]||(l[t]=[])).push(o[e])}))}));class c{clipboard(e){return{clipboardData:e.clipboardData}}composition(e){return{data:e.data}}keyboard(e){return{altKey:e.altKey,charCode:e.charCode,ctrlKey:e.ctrlKey,key:e.key,keyCode:e.keyCode,locale:e.locale,location:e.location,metaKey:e.metaKey,repeat:e.repeat,shiftKey:e.shiftKey,which:e.which}}mouse(e){return{altKey:e.altKey,button:e.button,buttons:e.buttons,clientX:e.clientX,clientY:e.clientY,ctrlKey:e.ctrlKey,metaKey:e.metaKey,pageX:e.pageX,pageY:e.pageY,screenX:e.screenX,screenY:e.screenY,shiftKey:e.shiftKey}}pointer(e){return Object.assign(Object.assign({},this.mouse(e)),{pointerId:e.pointerId,width:e.width,height:e.height,pressure:e.pressure,tiltX:e.tiltX,tiltY:e.tiltY,pointerType:e.pointerType,isPrimary:e.isPrimary})}selection(){return{selectedText:window.getSelection().toString()}}touch(e){return{altKey:e.altKey,ctrlKey:e.ctrlKey,metaKey:e.metaKey,shiftKey:e.shiftKey}}ui(e){return{detail:e.detail}}wheel(e){return{deltaMode:e.deltaMode,deltaX:e.deltaX,deltaY:e.deltaY,deltaZ:e.deltaZ}}animation(e){return{animationName:e.animationName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}}transition(e){return{propertyName:e.propertyName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}}}c.__name__=\"EventTransformCategories\";const u={clipboard:[\"copy\",\"cut\",\"paste\"],composition:[\"compositionend\",\"compositionstart\",\"compositionupdate\"],keyboard:[\"keydown\",\"keypress\",\"keyup\"],mouse:[\"click\",\"contextmenu\",\"doubleclick\",\"drag\",\"dragend\",\"dragenter\",\"dragexit\",\"dragleave\",\"dragover\",\"dragstart\",\"drop\",\"mousedown\",\"mouseenter\",\"mouseleave\",\"mousemove\",\"mouseout\",\"mouseover\",\"mouseup\"],pointer:[\"pointerdown\",\"pointermove\",\"pointerup\",\"pointercancel\",\"gotpointercapture\",\"lostpointercapture\",\"pointerenter\",\"pointerleave\",\"pointerover\",\"pointerout\"],selection:[\"select\"],touch:[\"touchcancel\",\"touchend\",\"touchmove\",\"touchstart\"],ui:[\"scroll\"],wheel:[\"wheel\"],animation:[\"animationstart\",\"animationend\",\"animationiteration\"],transition:[\"transitionend\"]},d={},p=new c;Object.keys(u).forEach((e=>{u[e].forEach((t=>{d[t]=p[e]}))}))},\n      \"7d45bd3bc4\": function _(require,module,exports,__esModule,__esExport){__esModule();const preact_1=require(\"6f11f2ef27\"),hooks_1=require(\"4c02a9b43f\"),preact_2=require(\"b3f51db71c\"),fast_json_patch_1=require(\"cbecfde9cd\"),html_box_1=require(\"@bokehjs/models/layouts/html_box\"),layout_1=require(\"80a6464b1f\"),event_to_object_1=require(\"d92f7d4d2b\"),LayoutConfigContext=(0,preact_1.createContext)({});function mountLayout(e,t,o,n){(0,preact_1.render)(preact_2.html`\n            <${Layout}\n              saveUpdateHook=${t}\n              sendEvent=${o}\n              importSourceUrl=${n}\n            />\n          `,e)}function Layout({saveUpdateHook:e,sendEvent:t,importSourceUrl:o}){const[n,r]=useInplaceJsonPatch({});return(0,hooks_1.useEffect)((()=>e(r)),[r]),n.tagName?preact_2.html`\n            <${LayoutConfigContext.Provider}\n              value=${{sendEvent:t,importSourceUrl:o}}\n            >\n              <${Element} model=${n} />\n            <//>\n          `:preact_2.html`<div />`}function Element({model:e}){return e.importSource?preact_2.html`<${ImportedElement} model=${e} />`:preact_2.html`<${StandardElement} model=${e} />`}function ImportedElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=useLazyModule(e.importSource.source,t.importSourceUrl);if(o){const n=getPathProperty(o,e.tagName),r=elementChildren(e),a=elementAttributes(e,t.sendEvent);return preact_2.html`<${n} ...${a}>${r}<//>`}{const t=e.importSource.fallback;if(!t)return preact_2.html`<div />`;switch(typeof t){case\"object\":return preact_2.html`<${Element} model=${t} />`;case\"string\":return preact_2.html`<div>${t}</div>`;default:return null}}}function StandardElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=elementChildren(e),n=elementAttributes(e,t.sendEvent);return e.children&&e.children.length?preact_2.html`<${e.tagName} ...${n}>${o}<//>`:preact_2.html`<${e.tagName} ...${n} />`}function elementChildren(e){return e.children?e.children.map((e=>{switch(typeof e){case\"object\":return preact_2.html`<${Element} model=${e} />`;case\"string\":return e;default:return null}})):[]}function elementAttributes(e,t){const o=Object.assign({},e.attributes);return e.eventHandlers&&Object.keys(e.eventHandlers).forEach((n=>{const r=e.eventHandlers[n];o[n]=eventHandler(t,r)})),o}function eventHandler(e,t){return function(){const o=Array.from(arguments).map((e=>\"object\"==typeof e?(t.preventDefault&&e.preventDefault(),t.stopPropagation&&e.stopPropagation(),(0,event_to_object_1.serializeEvent)(e)):e));return new Promise((n=>{const r={data:o,target:t.target};e(r),n(r)}))}}function useLazyModule(source,sourceUrlBase=\"\"){const[module,setModule]=(0,hooks_1.useState)(null);return module||eval(`import('${joinUrl(sourceUrlBase,source)}')`).then(setModule),module}function getPathProperty(e,t){const o=t.split(\".\");let n=e[o.shift()];for(let e=0;e<o.length;e++)n=n[o[e]];return n}function useInplaceJsonPatch(e){const t=(0,hooks_1.useRef)(e),o=useForceUpdate(),n=(0,hooks_1.useCallback)(((e,n)=>{applyPatchInplace(t.current,e,n),o()}),[t,o]);return[t.current,n]}function applyPatchInplace(e,t,o){t?(0,fast_json_patch_1.applyPatch)(e,[{op:\"replace\",path:t,value:(0,fast_json_patch_1.applyPatch)((0,fast_json_patch_1.getValueByPointer)(e,t),o,!1,!1).newDocument}]):(0,fast_json_patch_1.applyPatch)(e,o)}function useForceUpdate(){const[,e]=(0,hooks_1.useState)({});return(0,hooks_1.useCallback)((()=>e({})),[])}function joinUrl(e,t){return t.startsWith(\"./\")?(e.endsWith(\"/\")?e.slice(0,-1):e)+t.slice(1):t}exports.mountLayout=mountLayout,exports.default=Layout;class IDOMView extends layout_1.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.event.change,(()=>{this._update(...this.model.event),setTimeout((()=>{requestAnimationFrame((()=>this.fix_layout()))}))}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout(),(0,layout_1.set_size)(this.el,this.model)}initialize(){super.initialize(),mountLayout(this.el,(e=>this._save_update(e)),(e=>this._send(e)),this.model.importSourceUrl)}async lazy_initialize(){await super.lazy_initialize(),await new Promise((e=>{const t=()=>{this._update?e(null):setTimeout(t,100)};t()}))}_save_update(e){this._update=e}async render(){super.render(),this._update(...this.model.event),await new Promise((e=>{const t=()=>{this.el.children.length?(this.fix_layout(),e(null)):setTimeout(t,50)};t()}))}_send(e){this.model.msg=e}}exports.IDOMView=IDOMView,IDOMView.__name__=\"IDOMView\";class IDOM extends html_box_1.HTMLBox{constructor(e){super(e)}static init_IDOM(){this.prototype.default_view=IDOMView,this.define((({Any:e,String:t})=>({event:[e,[]],importSourceUrl:[t,\"\"],msg:[e,{}]})))}}exports.IDOM=IDOM,IDOM.__name__=\"IDOM\",IDOM.__module__=\"panel.models.idom\",IDOM.init_IDOM()},\n      \"6f11f2ef27\": function _(e,n,t,_,l){_();var o,r,i,u,s,c,f={},p=[],a=/acit|ex(?:s|g|n|p|$)|rph|grid|ows|mnc|ntw|ine[ch]|zoo|^ord|itera/i;function d(e,n){for(var t in n)e[t]=n[t];return e}function h(e){var n=e.parentNode;n&&n.removeChild(e)}function v(e,n,t){var _,l,o,r=arguments,i={};for(o in n)\"key\"==o?_=n[o]:\"ref\"==o?l=n[o]:i[o]=n[o];if(arguments.length>3)for(t=[t],o=3;o<arguments.length;o++)t.push(r[o]);if(null!=t&&(i.children=t),\"function\"==typeof e&&null!=e.defaultProps)for(o in e.defaultProps)void 0===i[o]&&(i[o]=e.defaultProps[o]);return y(e,i,_,l,null)}function y(e,n,t,_,l){var r={type:e,props:n,key:t,ref:_,__k:null,__:null,__b:0,__e:null,__d:void 0,__c:null,__h:null,constructor:void 0,__v:null==l?++o.__v:l};return 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t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(l(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(l(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(l(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(m).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return e+\":\"+m(t.json[e])})),n=e.length>=this.config.hoverPreviewFieldCount?\"\\u2026\":\"\";return\"{\"+r.join(\", \")+n+\"}\"},t.prototype.render=function(){this.element=d(\"div\",\"row\");var t=this.isObject?d(\"a\",\"toggler-link\"):d(\"span\");if(this.isObject&&!this.useToJSON&&t.appendChild(d(\"span\",\"toggler\")),this.hasKey&&t.appendChild(d(\"span\",\"key\",this.key+\":\")),this.isObject&&!this.useToJSON){var e=d(\"span\",\"value\"),r=d(\"span\"),n=d(\"span\",\"constructor-name\",this.constructorName);if(r.appendChild(n),this.isArray){var o=d(\"span\");o.appendChild(d(\"span\",\"bracket\",\"[\")),o.appendChild(d(\"span\",\"number\",this.json.length)),o.appendChild(d(\"span\",\"bracket\",\"]\")),r.appendChild(o)}e.appendChild(r),t.appendChild(e)}else{(e=this.isUrl?d(\"a\"):d(\"span\")).classList.add(l(this.type)),this.isDate&&e.classList.add(l(\"date\")),this.isUrl&&(e.classList.add(l(\"url\")),e.setAttribute(\"href\",this.json));var i=f(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var s=d(\"span\",\"preview-text\");s.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(s)}var a=d(\"div\",\"children\");return this.isObject&&a.classList.add(l(\"object\")),this.isArray&&a.classList.add(l(\"array\")),this.isEmpty&&a.classList.add(l(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(l(this.config.theme)),this.isOpen&&this.element.classList.add(l(\"open\")),this.element.appendChild(t),this.element.appendChild(a),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+l(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():h(i))};h(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+l(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():h(n))};h(n)}else e&&(e.innerHTML=\"\")},t}();r.default=g},\n      \"5379466860\": function _(e,t,s,o,i){o();const n=e(\"@bokehjs/core/bokeh_events\"),d=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"80a6464b1f\");class h extends n.ModelEvent{constructor(e){super(),this.data=e,this.event_name=\"json_edit\"}_to_json(){return{model:this.origin,data:this.data}}}s.JSONEditEvent=h,h.__name__=\"JSONEditEvent\";class m extends a.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,disabled:t,templates:s,menu:o,mode:i,search:n,schema:d}=this.model.properties;this.on_change([e],(()=>this.editor.update(this.model.data))),this.on_change([s],(()=>{this.editor.options.templates=this.model.templates})),this.on_change([o],(()=>{this.editor.options.menu=this.model.menu})),this.on_change([n],(()=>{this.editor.options.search=this.model.search})),this.on_change([d],(()=>{this.editor.options.schema=this.model.schema})),this.on_change([t,i],(()=>{const e=this.model.disabled?\"view\":this.model.mode;this.editor.setMode(e)}))}remove(){super.remove(),this.editor.destroy()}render(){super.render();const e=this.model.disabled?\"view\":this.model.mode;this.editor=new window.JSONEditor(this.el,{menu:this.model.menu,mode:e,onChangeJSON:e=>{this.model.data=e},onSelectionChange:(e,t)=>{this.model.selection=[e,t]},search:this.model.search,schema:this.model.schema,templates:this.model.templates}),this.editor.set(this.model.data)}}s.JSONEditorView=m,m.__name__=\"JSONEditorView\";class r extends d.HTMLBox{constructor(e){super(e)}static init_JSONEditor(){this.prototype.default_view=m,this.define((({Any:e,Array:t,Boolean:s,String:o})=>({data:[e,{}],mode:[o,\"tree\"],menu:[s,!0],search:[s,!0],selection:[t(e),[]],schema:[e,null],templates:[t(e),[]]})))}}s.JSONEditor=r,r.__name__=\"JSONEditor\",r.__module__=\"panel.models.jsoneditor\",r.init_JSONEditor()},\n      \"9c8ebc5d9b\": function _(e,t,i,s,l){s();const o=e(\"tslib\"),n=e(\"@bokehjs/models/widgets/input_widget\"),a=(0,o.__importStar)(e(\"@bokehjs/styles/buttons.css\")),h=a,d=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/enums\");class r extends n.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._prev_href=\"\",this._prev_download=\"\"}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,(()=>this._update_button_style())),this.connect(this.model.properties.filename.change,(()=>this._update_download())),this.connect(this.model.properties._transfers.change,(()=>this._handle_click())),this.connect(this.model.properties.label.change,(()=>this._update_label())),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()))}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this.model.embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=(0,d.input)({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}styles(){return[...super.styles(),a.default]}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this.model.embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],s=new ArrayBuffer(t.length),l=new Uint8Array(s);for(let e=0;e<t.length;e++)l[e]=t.charCodeAt(e);return new Blob([s],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){const e=h[`btn_${this.model.button_type}`];if(this.anchor_el.hasAttribute(\"class\")){const t=this.anchor_el.classList.item(1);t&&this.anchor_el.classList.replace(t,e)}else this.anchor_el.classList.add(h.btn),this.anchor_el.classList.add(e)}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=r,r.__name__=\"FileDownloadView\";class c extends n.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t,Nullable:i,String:s})=>({auto:[e,!1],clicks:[t,0],data:[i(s),null],embed:[e,!1],label:[s,\"Download\"],filename:[i(s),null],button_type:[_.ButtonType,\"default\"],_transfers:[t,0]}))),this.override({title:\"\"})}}i.FileDownload=c,c.__name__=\"FileDownload\",c.__module__=\"panel.models.widgets\",c.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i,a,n){a();const s=e(\"@bokehjs/models/widgets/markup\"),r=e(\"80a6464b1f\");class l extends r.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=l,l.__name__=\"KaTeXView\";class d extends s.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=l}}i.KaTeX=d,d.__name__=\"KaTeX\",d.__module__=\"panel.models.katex\",d.init_KaTeX()},\n      \"aca9ec82ba\": function _(e,o,t,i,h){i();const a=e(\"@bokehjs/core/view\"),s=e(\"@bokehjs/model\");class n extends a.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port,this._hash_listener=()=>{this.model.hash=window.location.hash},window.addEventListener(\"hashchange\",this._hash_listener),this._has_finished=!0,this.notify_finished()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,(()=>this.update(\"pathname\"))),this.connect(this.model.properties.search.change,(()=>this.update(\"search\"))),this.connect(this.model.properties.hash.change,(()=>this.update(\"hash\"))),this.connect(this.model.properties.reload.change,(()=>this.update(\"reload\")))}remove(){super.remove(),window.removeEventListener(\"hashchange\",this._hash_listener)}update(e){this.model.reload&&\"reload\"!==e?(\"pathname\"==e&&(window.location.pathname=this.model.pathname),\"search\"==e&&(window.location.search=this.model.search),\"hash\"==e&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===e&&window.location.reload())}}t.LocationView=n,n.__name__=\"LocationView\";class d extends s.Model{constructor(e){super(e)}static init_Location(){this.prototype.default_view=n,this.define((({Boolean:e,String:o})=>({href:[o,\"\"],hostname:[o,\"\"],pathname:[o,\"\"],protocol:[o,\"\"],port:[o,\"\"],search:[o,\"\"],hash:[o,\"\"],reload:[e,!1]})))}}t.Location=d,d.__name__=\"Location\",d.__module__=\"panel.models.location\",d.init_Location()},\n      \"0c21036737\": function _(e,t,a,i,s){i();const h=e(\"@bokehjs/models/widgets/markup\"),_=e(\"80a6464b1f\");class n extends _.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=n,n.__name__=\"MathJaxView\";class u extends h.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=n}}a.MathJax=u,u.__name__=\"MathJax\",u.__module__=\"panel.models.mathjax\",u.init_MathJax()},\n      \"4ae96bd77b\": function _(e,t,s,i,n){i();const l=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/sources/column_data_source\"),a=e(\"80a6464b1f\"),c={\"material-dark\":\"Material Dark\",material:\"Material Light\",\"material-dense\":\"Material Light\",\"material-dense-dark\":\"Material Dark\",vaporwave:\"Vaporwave\",solarized:\"Solarized\",\"solarized-dark\":\"Solarized Dark\",monokai:\"Monokai\"},h={datagrid:\"Datagrid\",d3_x_bar:\"X Bar\",d3_y_bar:\"Y Bar\",d3_xy_line:\"X/Y Line\",d3_y_line:\"Y Line\",d3_y_area:\"Y Area\",d3_y_scatter:\"Y Scatter\",d3_xy_scatter:\"X/Y Scatter\",d3_treemap:\"Treemap\",d3_candlestick:\"Candlestick\",d3_sunburst:\"Sunburst\",d3_heatmap:\"Heatmap\",d3_ohlc:\"OHLC\"};function p(e){const t={};return Object.keys(e).forEach((s=>{t[e[s]]=s})),t}const _=p(h),d=p(c);class m extends a.PanelHTMLBoxView{constructor(){super(...arguments),this._updating=!1,this._config_listener=null,this._current_config=null,this._event_listener=null,this._loaded=!1}connect_signals(){super.connect_signals(),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.properties.toggle_config.change,(()=>{this.perspective_element.toggleConfig(),this.fix_layout()})),this.connect(this.model.properties.columns.change,(()=>{this.perspective_element.restore({columns:this.model.columns})})),this.connect(this.model.properties.expressions.change,(()=>{this.perspective_element.restore({expressions:this.model.expressions})})),this.connect(this.model.properties.split_by.change,(()=>{this.perspective_element.restore({split_by:this.model.split_by})})),this.connect(this.model.properties.group_by.change,(()=>{this.perspective_element.restore({group_by:this.model.group_by})})),this.connect(this.model.properties.aggregates.change,(()=>{this.perspective_element.restore({aggregates:this.model.aggregates})})),this.connect(this.model.properties.filters.change,(()=>{this.perspective_element.restore({filter:this.model.filters})})),this.connect(this.model.properties.sort.change,(()=>{this.perspective_element.restore({sort:this.model.sort})})),this.connect(this.model.properties.plugin.change,(()=>{this.perspective_element.restore({plugin:h[this.model.plugin]})})),this.connect(this.model.properties.selectable.change,(()=>{this.perspective_element.restore({plugin_config:Object.assign(Object.assign({},this._current_config),{selectable:this.model.selectable})})})),this.connect(this.model.properties.editable.change,(()=>{this.perspective_element.restore({plugin_config:Object.assign(Object.assign({},this._current_config),{editable:this.model.editable})})})),this.connect(this.model.properties.theme.change,(()=>{this.perspective_element.restore({theme:c[this.model.theme]}).catch((()=>{}))})),null!=this.model.document&&(this._event_listener=e=>this.on_event(e),this.model.document.on_change(this._event_listener))}disconnect_signals(){null!=this._config_listener&&this.perspective_element.removeEventListener(\"perspective-config-update\",this._config_listener),this._config_listener=null,null!=this.model.document&&null!=this._event_listener&&this.model.document.remove_on_change(this._event_listener),this._event_listener=null,super.disconnect_signals()}async render(){super.render(),this.worker=window.perspective.worker(),this.table=await this.worker.table(this.model.schema),this.table.update(this.data);const e=(0,o.div)({class:\"pnx-perspective-viewer\",style:{zIndex:0}});(0,a.set_size)(e,this.model),e.innerHTML=\"<perspective-viewer style='height:100%; width:100%;'></perspective-viewer>\",this.perspective_element=e.children[0],this.perspective_element.resetThemes([...Object.values(c)]).catch((()=>{})),(0,a.set_size)(this.perspective_element,this.model),this.el.appendChild(e),this.perspective_element.load(this.table);const t=Object.assign(Object.assign({},this.model.plugin_config),{editable:this.model.editable,selectable:this.model.selectable});this.perspective_element.restore({aggregates:this.model.aggregates,columns:this.model.columns,expressions:this.model.expressions,filter:this.model.filters,split_by:this.model.split_by,group_by:this.model.group_by,plugin:h[this.model.plugin],plugin_config:t,sort:this.model.sort,theme:c[this.model.theme]}).catch((()=>{})),this._config_listener=()=>this.sync_config(),this._current_config=await this.perspective_element.save(),this.model.toggle_config&&this.perspective_element.toggleConfig(),this.perspective_element.addEventListener(\"perspective-config-update\",this._config_listener),this._loaded=!0,this.fix_layout()}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout()}sync_config(){return this._updating||this.perspective_element.save().then((e=>{this._current_config=e;const t={};for(let s in e){let i=e[s];void 0===i||\"plugin\"==s&&\"debug\"===i||\"settings\"===s||(\"filter\"===s?s=\"filters\":\"plugin\"===s?i=_[i]:\"theme\"===s&&(i=d[i]),t[s]=i)}this._updating=!0,this.model.setv(t),this._updating=!1})),!0}on_event(e){null!=(e=e.hint)&&null!=e.column_source&&e.column_source.id==this.model.source.id&&(void 0!==e.rollover?this.stream(e.data,e.rollover):void 0!==e.patches&&this.patch(e.patches))}get data(){const e={};for(const t of this.model.source.columns())e[t]=this.model.source.get_array(t);return e}stream(e,t){this._loaded&&(null==t?this.table.update(e):this.table.replace(this.data))}patch(e){this.table.replace(this.data)}setData(){this._loaded&&this.table.load(this.data)}}s.PerspectiveView=m,m.__name__=\"PerspectiveView\";class g extends l.HTMLBox{constructor(e){super(e)}static init_Perspective(){this.prototype.default_view=m,this.define((({Any:e,Array:t,Boolean:s,Ref:i,Nullable:n,String:l})=>({aggregates:[e],columns:[t(n(l))],expressions:[n(t(l))],split_by:[n(t(l))],editable:[n(s)],filters:[n(t(e))],group_by:[n(t(l))],plugin:[l],plugin_config:[e],selectable:[n(s)],schema:[e,{}],toggle_config:[s,!0],sort:[n(t(t(l)))],source:[i(r.ColumnDataSource)],theme:[l]})))}}s.Perspective=g,g.__name__=\"Perspective\",g.__module__=\"panel.models.perspective\",g.init_Perspective()},\n      \"588a5ae70d\": function _(e,t,i,s,o){s();const l=e(\"@bokehjs/core/kinds\"),n=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/models/widgets/widget\");function r(e){e.forEach((e=>e.style.borderStyle=\"inset\"))}function d(e){e.forEach((e=>e.style.borderStyle=\"outset\"))}class h extends a.WidgetView{constructor(){super(...arguments),this._changing=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.direction.change,(()=>this.set_direction())),this.connect(this.model.properties.value.change,(()=>this.render())),this.connect(this.model.properties.loop_policy.change,(()=>this.set_loop_state(this.model.loop_policy))),this.connect(this.model.properties.disabled.change,(()=>this.toggle_disable())),this.connect(this.model.properties.show_loop_controls.change,(()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.groupEl.removeChild(this.loop_state)}))}toggle_disable(){this.sliderEl.disabled=this.model.disabled;for(const e of this.buttonEl.children){e.disabled=this.model.disabled}for(const e of this.loop_state.children)if(\"input\"==e.tagName){e.disabled=this.model.disabled}}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=(0,n.div)(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.addEventListener(\"input\",(e=>{this.set_frame(parseInt(e.target.value),!1)})),this.sliderEl.addEventListener(\"change\",(e=>{this.set_frame(parseInt(e.target.value))}));const e=(0,n.div)();this.buttonEl=e,e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",i=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",s=document.createElement(\"button\");s.style.cssText=t,s.appendChild(document.createTextNode(\"\\u2013\")),s.onclick=()=>this.slower(),e.appendChild(s);const o=document.createElement(\"button\");o.style.cssText=i,o.appendChild(document.createTextNode(\"\\u275a\\u25c0\\u25c0\")),o.onclick=()=>this.first_frame(),e.appendChild(o);const l=document.createElement(\"button\");l.style.cssText=i,l.appendChild(document.createTextNode(\"\\u275a\\u25c0\")),l.onclick=()=>this.previous_frame(),e.appendChild(l);const a=document.createElement(\"button\");a.style.cssText=i,a.appendChild(document.createTextNode(\"\\u25c0\")),a.onclick=()=>this.reverse_animation(),e.appendChild(a);const h=document.createElement(\"button\");h.style.cssText=i,h.appendChild(document.createTextNode(\"\\u275a\\u275a\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const c=document.createElement(\"button\");c.style.cssText=i,c.appendChild(document.createTextNode(\"\\u25b6\")),c.onclick=()=>this.play_animation(),e.appendChild(c);const p=document.createElement(\"button\");p.style.cssText=i,p.appendChild(document.createTextNode(\"\\u25b6\\u275a\")),p.onclick=()=>this.next_frame(),e.appendChild(p);const m=document.createElement(\"button\");m.style.cssText=i,m.appendChild(document.createTextNode(\"\\u25b6\\u25b6\\u275a\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{d([h,c]),r([a])},this._toogle_pause=()=>{d([a,c]),r([h])},this._toggle_play=()=>{d([a,h]),r([c])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const E=document.createElement(\"input\");E.setAttribute(\"type\",\"radio\"),E.setAttribute(\"value\",\"reflect\"),E.setAttribute(\"name\",\"state\");const y=document.createElement(\"label\");y.innerHTML=\"Reflect\",y.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:E.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(E),this.loop_state.appendChild(y),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.toggle_disable(),this.el.appendChild(this.groupEl)}set_frame(e,t=!0){this.model.value=e,t&&(this.model.value_throttled=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var i=e[t];if(i.checked)return i.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,i=0;i<t.length;i++){var s=t[i];s.value==e&&(s.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}set_direction(){this._changing||(0===this.model.direction?this.pause_animation():1===this.model.direction?this.play_animation():-1===this.model.direction&&this.reverse_animation())}pause_animation(){this._toogle_pause(),this._changing=!0,this.model.direction=0,this._changing=!1,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this._changing=!0,this.model.direction=1,this._changing=!1,this.timer||(this.timer=setInterval((()=>this.anim_step_forward()),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this._changing=!0,this.model.direction=-1,this._changing=!1,this.timer||(this.timer=setInterval((()=>this.anim_step_reverse()),this.model.interval))}}i.PlayerView=h,h.__name__=\"PlayerView\",i.LoopPolicy=(0,l.Enum)(\"once\",\"loop\",\"reflect\");class c extends a.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t})=>({direction:[t,0],interval:[t,500],start:[t,0],end:[t,10],step:[t,1],loop_policy:[i.LoopPolicy,\"once\"],value:[t,0],value_throttled:[t,0],show_loop_controls:[e,!0]}))),this.override({width:400})}}i.Player=c,c.__name__=\"Player\",c.__module__=\"panel.models.widgets\",c.init_Player()},\n      \"29668762ee\": function _(t,e,o,i,l){i();const s=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/core/util/object\"),a=t(\"@bokehjs/core/util/eq\"),n=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"@bokehjs/models/sources/column_data_source\"),_=t(\"99a25e6992\"),h=t(\"990b5dd5c7\"),u=t(\"80a6464b1f\"),d=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let s={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||(0,h.isPlainObject)(e)||void 0===e||(s[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(s.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(s.pointNumbers=i.pointNumbers)),o[t]=s}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class y extends u.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=(0,_.debounce)((()=>{this._relayouting=!1}),2e3,!1)}initialize(){super.initialize(),this._layout_wrapper=(0,s.div)({style:\"height: 100%; width: 100%;\"})}connect_signals(){super.connect_signals();const{data:t,data_sources:e,layout:o,relayout:i,restyle:l}=this.model.properties;this.on_change([t,e,o],(()=>{const t=this.model._render_count;setTimeout((()=>{this.model._render_count===t&&(this.model._render_count+=1)}),250)})),this.on_change([i],(()=>{null!=this.model.relayout&&(window.Plotly.relayout(this._layout_wrapper,this.model.relayout),this.model.relayout=null)})),this.on_change([l],(()=>{null!=this.model.restyle&&(window.Plotly.restyle(this._layout_wrapper,this.model.restyle.data,this.model.restyle.traces),this.model.restyle=null)})),this.connect(this.model.properties.viewport_update_policy.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties.viewport_update_throttle.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties._render_count.change,(()=>{this.plot()})),this.connect(this.model.properties.frames.change,(()=>{this.plot(!0)})),this.connect(this.model.properties.viewport.change,(()=>this._updateViewportFromProperty())),this.connect(this.model.properties.visibility.change,(()=>{this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\"}))}async render(){super.render(),this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\",this.el.appendChild(this._layout_wrapper),await this.plot(),window.Plotly.relayout(this._layout_wrapper,this.model.relayout)}_trace_data(){const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));return t}_layout_data(){const t=(0,h.deepCopy)(this.model.layout);if(this._relayouting){const{layout:e}=this._layout_wrapper;Object.keys(e).reduce(((e,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in e&&(t[o].range=e.range)}),{})}return t}_install_callbacks(){this._layout_wrapper.on(\"plotly_relayout\",(t=>{!0!==t._update_from_property&&(this.model.relayout_data=d(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())})),this._layout_wrapper.on(\"plotly_relayouting\",(()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())})),this._layout_wrapper.on(\"plotly_restyle\",(t=>{this.model.restyle_data=d(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()})),this._layout_wrapper.on(\"plotly_click\",(t=>{this.model.click_data=d(this._layout_wrapper,t,\"click\")})),this._layout_wrapper.on(\"plotly_hover\",(t=>{this.model.hover_data=d(this._layout_wrapper,t,\"hover\")})),this._layout_wrapper.on(\"plotly_selected\",(t=>{this.model.selected_data=d(this._layout_wrapper,t,\"selected\")})),this._layout_wrapper.on(\"plotly_clickannotation\",(t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t})),this._layout_wrapper.on(\"plotly_deselect\",(()=>{this.model.selected_data=null})),this._layout_wrapper.on(\"plotly_unhover\",(()=>{this.model.hover_data=null}))}async plot(t=!1){if(!window.Plotly)return;const e=this._trace_data(),o=this._layout_data();if(this._reacting=!0,t){const t={data:e,layout:o,config:this.model.config,frames:this.model.frames};await window.Plotly.newPlot(this._layout_wrapper,t)}else await window.Plotly.react(this._layout_wrapper,e,o,this.model.config),null!=this.model.frames&&await window.Plotly.addFrames(this._layout_wrapper,this.model.frames);var i,l;this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized?(i=this._layout_wrapper,(l=window.getComputedStyle(i).display)&&\"none\"!==l&&window.Plotly.Plots.resize(this._layout_wrapper)):this._install_callbacks(),this._reacting=!1,this._plotInitialized=!0}after_layout(){super.after_layout(),(0,u.set_size)(this.el,this.model),window.Plotly&&this._plotInitialized&&window.Plotly.Plots.resize(this._layout_wrapper)}_get_trace(t,e){const o=(0,r.clone)(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let s=t.split(\".\"),r=s[s.length-1],a=o;for(let t of s.slice(0,-1))a=a[t];e&&1==s.length?a[r]=[l]:a[r]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce(((e,o)=>{if((0,a.isEqual)((0,h.get)(t,o),e))return!0;{let t=(0,h.deepCopy)(this.model.viewport);return t._update_from_property=!0,this._settingViewport=!0,window.Plotly.relayout(this.el,t).then((()=>{this._settingViewport=!1})),!1}}),{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=(0,h.deepCopy)(t[o].range))}(0,a.isEqual)(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=(0,h.throttle)((t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}),this.model.viewport_update_throttle)}}o.PlotlyPlotView=y,y.__name__=\"PlotlyPlotView\";class c extends n.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=y,this.define((({Array:t,Any:e,Boolean:o,Ref:i,String:l,Nullable:s,Number:r})=>({data:[t(e),[]],layout:[e,{}],config:[e,{}],frames:[s(t(e)),null],data_sources:[t(i(p.ColumnDataSource)),[]],relayout:[s(e),{}],restyle:[s(e),{}],relayout_data:[e,{}],restyle_data:[t(e),[]],click_data:[e,{}],hover_data:[e,{}],clickannotation_data:[e,{}],selected_data:[e,{}],viewport:[e,{}],viewport_update_policy:[l,\"mouseup\"],viewport_update_throttle:[r,200],visibility:[o,!0],_render_count:[r,0]})))}}o.PlotlyPlot=c,c.__name__=\"PlotlyPlot\",c.__module__=\"panel.models.plotly\",c.init_PlotlyPlot()},\n      \"990b5dd5c7\": function _(t,n,r,e,o){e();r.get=(t,n,r)=>{const e=r=>String.prototype.split.call(n,r).filter(Boolean).reduce(((t,n)=>null!=t?t[n]:t),t),o=e(/[,[\\]]+?/)||e(/[,[\\].]+?/);return void 0===o||o===t?r:o},r.throttle=function(t,n){var r=0;return function(){var e=Number(new Date);e-r>=n&&(t(),r=e)}},r.deepCopy=function t(n){var r;if(null==n||\"object\"!=typeof n)return n;if(n instanceof Array){r=[];for(var e=0,o=n.length;e<o;e++)r[e]=t(n[e]);return r}if(n instanceof Object){const r={};for(const e in n){const o=e;n.hasOwnProperty(o)&&(r[o]=t(n[o]))}return r}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},r.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"6f9142671f\": function _(e,s,t,i,o){i();const l=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"80a6464b1f\");class h extends l.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,(()=>this.setCSS())),this.connect(this.model.properties.bar_color.change,(()=>this.setCSS())),this.connect(this.model.properties.css_classes.change,(()=>this.setCSS())),this.connect(this.model.properties.value.change,(()=>this.setValue())),this.connect(this.model.properties.max.change,(()=>this.setMax()))}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),(0,r.set_size)(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null==this.model.value?this.progressEl.value=0:this.model.value>=0?this.progressEl.value=this.model.value:this.model.value<0&&this.progressEl.removeAttribute(\"value\")}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=h,h.__name__=\"ProgressView\";class n extends l.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=h,this.define((({Any:e,Boolean:s,Number:t,String:i})=>({active:[s,!0],bar_color:[i,\"primary\"],style:[e,{}],max:[t,100],value:[e,null]})))}}t.Progress=n,n.__name__=\"Progress\",n.__module__=\"panel.models.widgets\",n.init_Progress()},\n      \"d51a79a0a3\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/core/dom\"),n=t(\"@bokehjs/models/layouts/html_box\"),h=t(\"80a6464b1f\");class a extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._container=(0,s.div)({})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.quill.enable(!this.model.disabled))),this.connect(this.model.properties.text.change,(()=>{this._editing||(this._editing=!0,this.quill.enable(!1),this.quill.setContents([]),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.enable(!this.model.disabled),this._editing=!1)}));const{mode:t,toolbar:e,placeholder:i}=this.model.properties;this.on_change([i],(()=>{this.quill.root.setAttribute(\"data-placeholder\",this.model.placeholder)})),this.on_change([t,e],(()=>{this.render(),this._layout_toolbar()}))}_layout_toolbar(){if(null==this._toolbar)this.el.style.removeProperty(\"padding-top\");else{const t=this._toolbar.getBoundingClientRect().height+1;this.el.style.paddingTop=t+\"px\",this._toolbar.style.marginTop=-t+\"px\"}}render(){super.render(),this.el.appendChild(this._container);const t=\"bubble\"===this.model.mode?\"bubble\":\"snow\";this.quill=new window.Quill(this._container,{modules:{toolbar:this.model.toolbar},readOnly:!0,placeholder:this.model.placeholder,theme:t}),this._editor=this.el.querySelector(\".ql-editor\"),this._toolbar=this.el.querySelector(\".ql-toolbar\"),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.on(\"text-change\",(()=>{this._editing||(this._editing=!0,this.model.text=this._editor.innerHTML,this._editing=!1)})),this.model.disabled||this.quill.enable(!this.model.disabled)}after_layout(){super.after_layout(),this._layout_toolbar()}}i.QuillInputView=a,a.__name__=\"QuillInputView\";class d extends n.HTMLBox{constructor(t){super(t)}static init_QuillInput(){this.prototype.default_view=a,this.define((({Any:t,String:e})=>({mode:[e,\"toolbar\"],placeholder:[e,\"\"],text:[e,\"\"],toolbar:[t,null]}))),this.override({height:300})}}i.QuillInput=d,d.__name__=\"QuillInput\",d.__module__=\"panel.models.quill\",d.init_QuillInput()},\n      \"ad426de39c\": function _(e,t,n,s,i){s();const o=e(\"6f11f2ef27\"),l=e(\"4c02a9b43f\"),r=e(\"b3f51db71c\"),c=e(\"@bokehjs/core/build_views\"),a=e(\"@bokehjs/core/util/types\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/util/color\"),u=e(\"7f7d9e0c6b\"),p=e(\"d92f7d4d2b\"),m=e(\"3d7593ca5a\"),f=e(\"80a6464b1f\");function v(e,t,n){const s={};for(const e of n)s[`{${e}}`]=\"(.*)\";const i=[];let o=\"^\"+(e.replace(/[-\\/\\\\^$*+?.()|[\\]]/g,\"\\\\$&\")+\"$\");let l,r,c;for(const t in s)if(r=e.indexOf(t),r>-1){for(o=o.replace(t,s[t]),c={index:r,token:t},l=0;l<i.length&&i[l].index<r;l++);l<i.length?i.splice(l,0,c):i.push(c)}o=o.replace(/\\{[^{}]+\\}/g,\".*\");var a=new RegExp(o).exec(t);let d=null;if(a)for(d={},l=0;l<i.length;l++)d[i[l].token.slice(1,-1)]=a[l+1];return d}class g extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._parent=null,this._changing=!1,this._event_listeners={},this._mutation_observers=[],this._script_fns={},this._state={}}initialize(){super.initialize(),this.html=(0,m.htmlDecode)(this.model.html)||this.model.html}_recursive_connect(e,t,n){for(const s in e.properties){let i;i=n.length?`${n}.${s}`:s;const o=e[s];null!=o&&(null!=o.properties&&this._recursive_connect(o,!0,i),this.connect(e.properties[s].change,(()=>{if(t)for(const t in this.model.children)if(this.model.children[t]==s){let n=e[s];return(0,a.isArray)(n)||(n=[n]),this._render_node(t,n),void this.invalidate_layout()}this._changing||(this._update(i),this.invalidate_layout())})))}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(async()=>{this.html=(0,m.htmlDecode)(this.model.html)||this.model.html,await this.rebuild(),this.invalidate_layout()})),this._recursive_connect(this.model.data,!0,\"\"),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()})),this.connect_scripts()}connect_scripts(){const e=this.model.data.id;for(let t in this.model.scripts){const n=this.model.scripts[t];let s,i=this.model.data;if(t.indexOf(\".\")>=0){const e=t.split(\".\");s=e[e.length-1];for(const t of e.slice(0,-1))i=i[t]}else s=t;for(const o of n){const n=(0,m.htmlDecode)(o)||o,l=this._render_script(n,e);this._script_fns[t]=l;const r=i.properties[s];null!=r&&this.connect(r.change,(()=>{this._changing||this.run_script(t)}))}}}run_script(e,t=!1){const n=this._script_fns[e];if(void 0===n)return void(t||console.log(`Script '${e}' could not be found.`));const s={get_records:(e,t)=>this.get_records(e,t)};for(const e in this._script_fns)s[e]=()=>this.run_script(e);return n(this.model,this.model.data,this._state,this,(e=>this.run_script(e)),s)}get_records(e,t=!0){return(0,u.dict_to_records)(this.model.data[e],t)}disconnect_signals(){super.disconnect_signals(),this._remove_event_listeners(),this._remove_mutation_observers(),this.run_script(\"remove\",!0)}get child_models(){const e=[];for(const t in this.model.children)for(const n of this.model.children[t])\"string\"!=typeof n&&e.push(n);return e}async build_child_views(){await(0,c.build_views)(this._child_views,this.child_models,{parent:null})}compute_layout(){this.root!=this?super.compute_layout():(this.update_position(),this.after_layout(),this.notify_finished())}after_layout(){for(const e of this.child_views)e.after_layout();this.run_script(\"after_layout\",!0),this._has_finished=!0}update_layout(){for(const e of this.child_views)this._align_view(e),e.compute_viewport(),e.update_layout(),e.compute_layout();this.root!=this&&this._update_layout()}_align_view(e){const{align:t}=e.model;let n,s;(0,a.isArray)(t)?[n,s]=t:n=s=t,\"center\"===n?(e.el.style.marginLeft=\"auto\",e.el.style.marginRight=\"auto\"):\"end\"===n&&(e.el.style.marginLeft=\"auto\"),\"center\"===s?(e.el.style.marginTop=\"auto\",e.el.style.marginBottom=\"auto\"):\"end\"===s&&(e.el.style.marginTop=\"auto\")}render(){(0,h.empty)(this.el);const{background:e}=this.model;this.el.style.backgroundColor=null!=e?(0,_.color2css)(e):\"\",(0,h.classes)(this.el).clear().add(...this.css_classes()),this._update(),this._render_children(),this._setup_mutation_observers(),this._setup_event_listeners(),this.run_script(\"render\",!0)}_send_event(e,t,n){let s=(0,p.serializeEvent)(n);s.type=t;for(const e in s)void 0===s[e]&&delete s[e];this.model.trigger_event(new m.DOMEvent(e,s))}_render_child(e,t){const n=this._child_views.get(e);null==n?t.innerHTML=(0,m.htmlDecode)(e)||e:(n._parent=this,n.renderTo(t))}resize_layout(){null!=this._parent&&this._parent.resize_layout(),this.root!=this&&super.resize_layout()}invalidate_layout(){null!=this._parent&&this._parent.invalidate_layout(),this.root!=this&&this.root.has_finished()&&super.invalidate_layout()}update_position(){if(this.root!=this)return void super.update_position();this.el.style.display=this.model.visible?\"block\":\"none\",(0,f.set_size)(this.el,this.model);let{margin:e}=this.model,t=null;if(null==e)this.el.style.margin=\"\";else{if((0,a.isNumber)(e))t={top:e,right:e,bottom:e,left:e};else if(2==e.length){const[n,s]=e;t={top:n,right:s,bottom:n,left:s}}else{const[n,s,i,o]=e;t={top:n,right:s,bottom:i,left:o}}const{top:n,right:s,bottom:i,left:o}=t;this.el.style.padding=`${n}px ${s}px ${i}px ${o}px`}for(const e of this.child_views)e.update_position()}_render_node(e,t){const n=this.model.data.id;if(this.model.looped.indexOf(e)>-1)for(let s=0;s<t.length;s++){let i=document.getElementById(`${e}-${s}-${n}`);null!=i?this._render_child(t[s],i):console.warn(`DOM node '${e}-${s}-${n}' could not be found. Cannot render children.`)}else{let s=document.getElementById(`${e}-${n}`);if(null==s)return void console.warn(`DOM node '${e}-${n}' could not be found. Cannot render children.`);for(const e of t)this._render_child(e,s)}}_render_children(){for(const e in this.model.children){let t=this.model.children[e];\"string\"==typeof t&&(t=this.model.data[t],(0,a.isArray)(t)||(t=[t])),this._render_node(e,t)}}_render_html(e,t={}){let n=e,s=\"\";const i=[];for(const e in this.model.callbacks)for(const t of this.model.callbacks[e]){const[o,l]=t;let r;if(n=n.replaceAll(\"${\"+l+\"}\",\"$--{\"+l+\"}\"),l.startsWith(\"script(\")){const e=l.replace(\"('\",\"_\").replace(\"')\",\"\").replace('(\"',\"_\").replace('\")',\"\").replace(\"-\",\"_\"),t=e.replaceAll(\"script_\",\"\");n=n.replaceAll(l,e),r=`\\n          const ${e} = (event) => {\\n            view._state.event = event\\n            view.run_script(\"${t}\")\\n            delete view._state.event\\n          }\\n          `}else r=`\\n          const ${l} = (event) => {\\n            let elname = \"${e}\"\\n            if (RegExp(\"{{.*loop.index.*}}\").test(elname)) {\\n              const pattern = RegExp(elname.replace(/{{(.+?)}}/g, String.fromCharCode(92) + \"d+\"))\\n              for (const p of event.path) {\\n                if (pattern.exec(p.id) != null) {\\n                  elname = p.id.split(\"-\").slice(null, -1).join(\"-\")\\n                  break\\n                }\\n              }\\n            }\\n            view._send_event(elname, \"${o}\", event)\\n          }\\n          `;i.indexOf(l)>-1||(i.push(l),s+=r)}return n=n.replaceAll(\"${model.\",\"$-{model.\").replaceAll(\"${\",\"${data.\").replaceAll(\"$-{model.\",\"${model.\").replaceAll(\"$--{\",\"${\"),new Function(\"view, model, data, state, html, useCallback\",s+\"return html`\"+n+\"`;\")(this,this.model,this.model.data,t,r.html,l.useCallback)}_render_script(e,t){const n=[];for(const s of this.model.nodes){const i=s.replace(\"-\",\"_\");if(-1===e.indexOf(i))continue;const o=`\\n      const ${i} = document.getElementById('${s}-${t}')\\n      if (${i} == null) {\\n        console.warn(\"DOM node '${s}' could not be found. Cannot execute callback.\")\\n        return\\n      }\\n      `;n.push(o)}return n.push(\"\\n    if (state.event !== undefined) {\\n      const event = state.event\\n    }\\n    \"),n.push(e),new Function(\"model, data, state, view, script, self\",n.join(\"\\n\"))}_remove_mutation_observers(){for(const e of this._mutation_observers)e.disconnect();this._mutation_observers=[]}_setup_mutation_observers(){const e=this.model.data.id;for(const t in this.model.attrs){const n=document.getElementById(`${t}-${e}`);if(null==n){console.warn(`DOM node '${t}-${e}' could not be found. Cannot set up MutationObserver.`);continue}const s=new MutationObserver((()=>{this._update_model(n,t)}));s.observe(n,{attributes:!0}),this._mutation_observers.push(s)}}_remove_event_listeners(){const e=this.model.data.id;for(const t in this._event_listeners){const n=document.getElementById(`${t}-${e}`);if(null!=n)for(const e in this._event_listeners[t]){const s=this._event_listeners[t][e];n.removeEventListener(e,s)}}this._event_listeners={}}_setup_event_listeners(){const e=this.model.data.id;for(const t in this.model.events){const n=document.getElementById(`${t}-${e}`);if(null==n){console.warn(`DOM node '${t}-${e}' could not be found. Cannot subscribe to DOM events.`);continue}const s=this.model.events[t];for(const e in s){const i=i=>{this._send_event(t,e,i),t in this.model.attrs&&s[e]&&this._update_model(n,t)};n.addEventListener(e,i),t in this._event_listeners||(this._event_listeners[t]={}),this._event_listeners[t][e]=i}}}_update(e=null){if(null==e||this.html.indexOf(`\\${${e}}`)>-1){const e=this._render_html(this.html);try{this._changing=!0,(0,o.render)(e,this.el)}finally{this._changing=!1}}}_update_model(e,t){if(this._changing)return;const n={};for(const s of this.model.attrs[t]){const[i,o,l]=s;let r=\"children\"===i?e.innerHTML:e[i];if(1===o.length&&`{${o[0]}}`===l)n[o[0]]=r;else if(\"string\"==typeof r)if(r=v(l,r,o),null==r)console.warn(`Could not resolve parameters in ${t} element ${i} attribute value ${r}.`);else for(const e in r)void 0===r[e]?console.warn(`Could not resolve ${e} in ${t} element ${i} attribute value ${r}.`):n[e]=r[e]}try{this._changing=!0,this.model.data.setv(function(e){const t={};for(const n in e){let s=e[n];\"string\"!=typeof s?s=s:\"\"===s||\"NaN\"!==s&&isNaN(Number(s))?\"false\"!==s&&\"true\"!==s||(s=\"true\"===s):s=Number(s),t[n]=s}return t}(n))}catch(e){console.log(\"Could not serialize\",n)}finally{this._changing=!1}}}n.ReactiveHTMLView=g,g.__name__=\"ReactiveHTMLView\";class $ extends d.HTMLBox{constructor(e){super(e)}static init_ReactiveHTML(){this.prototype.default_view=g,this.define((({Array:e,Any:t,String:n})=>({attrs:[t,{}],callbacks:[t,{}],children:[t,{}],data:[t],events:[t,{}],html:[n,\"\"],looped:[e(n),[]],nodes:[e(n),[]],scripts:[t,{}]})))}}n.ReactiveHTML=$,$.__name__=\"ReactiveHTML\",$.__module__=\"panel.models.reactive_html\",$.init_ReactiveHTML()},\n      \"ab54efe08a\": function _(e,t,s,i,n){i();const l=e(\"tslib\"),o=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/util/types\"),r=e(\"@bokehjs/models/widgets/input_widget\"),d=(0,l.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\"));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.disabled_options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,s;(0,c.isString)(e)?t=s=e:[t,s]=e;let i=this.model.disabled_options.includes(t);return(0,o.option)({value:t,disabled:i},s)}));this.select_el=(0,o.select)({multiple:!1,class:d.input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=h,h.__name__=\"SingleSelectView\";class a extends r.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Int:s,String:i})=>({disabled_options:[t(i),[]],options:[t(e),[]],size:[s,4],value:[i,\"\"]})))}}s.SingleSelect=a,a.__name__=\"SingleSelect\",a.__module__=\"panel.models.widgets\",a.init_SingleSelect()},\n      \"a96be0bcc9\": function _(t,e,i,o,n){o();const s=t(\"@bokehjs/models/layouts/html_box\"),r=\"Click to START the speech recognition.\",{webkitSpeechRecognition:h}=window,{webkitSpeechGrammarList:l}=window;class a extends s.HTMLBoxView{initialize(){var t,e;super.initialize(),this.recognition=new h,this.recognition.lang=this.model.lang,this.recognition.continuous=this.model.continuous,this.recognition.interimResults=this.model.interim_results,this.recognition.maxAlternatives=this.model.max_alternatives,this.recognition.serviceURI=this.model.service_uri,this.setGrammars(),this.recognition.onresult=t=>{this.model.results=function(t){const e=[];for(let o of t){let t=[],n={is_final:o.isFinal,alternatives:t};for(let e=0;e<o.length;e++){let n={confidence:(i=o[e].confidence,Math.round(100*(i+Number.EPSILON))/100),transcript:o[e].transcript};t.push(n)}n.alternatives=t,e.push(n)}var i;return e}(t.results)},this.recognition.onerror=t=>{console.log(\"SpeechToText Error\"),console.log(t)},this.recognition.onnomatch=t=>{console.log(\"SpeechToText No Match\"),console.log(t)},this.recognition.onaudiostart=()=>this.model.audio_started=!0,this.recognition.onaudioend=()=>this.model.audio_started=!1,this.recognition.onsoundstart=()=>this.model.sound_started=!0,this.recognition.onsoundend=()=>this.model.sound_started=!1,this.recognition.onspeechstart=()=>this.model.speech_started=!0,this.recognition.onspeechend=()=>this.model.speech_started=!1,this.recognition.onstart=()=>{this.buttonEl.onclick=()=>{this.recognition.stop()},this.buttonEl.innerHTML=this.iconStarted(),this.buttonEl.setAttribute(\"title\",\"Click to STOP the speech recognition.\"),this.model.started=!0},this.recognition.onend=()=>{this.buttonEl.onclick=()=>{this.recognition.start()},this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.setAttribute(\"title\",r),this.model.started=!1},this.buttonEl=(t=`<button class=\"bk bk-btn bk-btn-${this.model.button_type}\" type=\"button\" title=\"${r}\"></button>`,e=document.createElement(\"template\"),t=t.trim(),e.innerHTML=t,e.content.firstChild),this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.onclick=()=>this.recognition.start()}iconStarted(){return\"\"!==this.model.button_started?this.model.button_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic\" viewBox=\"0 0 16 16\">\\n  <path fill-rule=\"evenodd\" d=\"M3.5 6.5A.5.5 0 0 1 4 7v1a4 4 0 0 0 8 0V7a.5.5 0 0 1 1 0v1a5 5 0 0 1-4.5 4.975V15h3a.5.5 0 0 1 0 1h-7a.5.5 0 0 1 0-1h3v-2.025A5 5 0 0 1 3 8V7a.5.5 0 0 1 .5-.5z\"/>\\n  <path fill-rule=\"evenodd\" d=\"M10 8V3a2 2 0 1 0-4 0v5a2 2 0 1 0 4 0zM8 0a3 3 0 0 0-3 3v5a3 3 0 0 0 6 0V3a3 3 0 0 0-3-3z\"/>\\n</svg>'}iconNotStarted(){return\"\"!==this.model.button_not_started?this.model.button_not_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic-mute\" viewBox=\"0 0 16 16\">\\n<path fill-rule=\"evenodd\" d=\"M12.734 9.613A4.995 4.995 0 0 0 13 8V7a.5.5 0 0 0-1 0v1c0 .274-.027.54-.08.799l.814.814zm-2.522 1.72A4 4 0 0 1 4 8V7a.5.5 0 0 0-1 0v1a5 5 0 0 0 4.5 4.975V15h-3a.5.5 0 0 0 0 1h7a.5.5 0 0 0 0-1h-3v-2.025a4.973 4.973 0 0 0 2.43-.923l-.718-.719zM11 7.88V3a3 3 0 0 0-5.842-.963l.845.845A2 2 0 0 1 10 3v3.879l1 1zM8.738 9.86l.748.748A3 3 0 0 1 5 8V6.121l1 1V8a2 2 0 0 0 2.738 1.86zm4.908 3.494l-12-12 .708-.708 12 12-.708.707z\"/>\\n</svg>'}setIcon(){this.model.started?this.buttonEl.innerHTML=this.iconStarted():this.buttonEl.innerHTML=this.iconNotStarted()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.start.change,(()=>{this.model.start=!1,this.recognition.start()})),this.connect(this.model.properties.stop.change,(()=>{this.model.stop=!1,this.recognition.stop()})),this.connect(this.model.properties.abort.change,(()=>{this.model.abort=!1,this.recognition.abort()})),this.connect(this.model.properties.grammars.change,(()=>this.setGrammars())),this.connect(this.model.properties.lang.change,(()=>this.recognition.lang=this.model.lang)),this.connect(this.model.properties.continuous.change,(()=>this.recognition.continuous=this.model.continuous)),this.connect(this.model.properties.interim_results.change,(()=>this.recognition.interimResults=this.model.interim_results)),this.connect(this.model.properties.max_alternatives.change,(()=>this.recognition.maxAlternatives=this.model.max_alternatives)),this.connect(this.model.properties.service_uri.change,(()=>this.recognition.serviceURI=this.model.service_uri)),this.connect(this.model.properties.button_type.change,(()=>this.buttonEl.className=`bk bk-btn bk-btn-${this.model.button_type}`)),this.connect(this.model.properties.button_hide.change,(()=>this.render()));const{button_not_started:t,button_started:e}=this.model.properties;this.on_change([t,e],(()=>this.setIcon()))}setGrammars(){this.recognition.grammars=function(t){if(t){var e=new l;for(let i of t)i.src?e.addFromString(i.src,i.weight):i.uri&&e.addFromURI(i.uri,i.weight);return e}return null}(this.model.grammars)}render(){super.render(),this.model.button_hide||this.el.appendChild(this.buttonEl)}}i.SpeechToTextView=a,a.__name__=\"SpeechToTextView\";class c extends s.HTMLBox{constructor(t){super(t)}static init_SpeechToText(){this.prototype.default_view=a,this.define((({Array:t,Boolean:e,Number:i,String:o})=>({start:[e,!1],stop:[e,!1],abort:[e,!1],grammars:[t(o),[]],lang:[o,\"\"],continuous:[e,!1],interim_results:[e,!1],max_alternatives:[i,1],service_uri:[o],started:[e,!1],audio_started:[e,!1],sound_started:[e,!1],speech_started:[e,!1],button_type:[o,\"light\"],button_hide:[e,!1],button_not_started:[o,\"\"],button_started:[o,\"\"],results:[t(o),[]]})))}}i.SpeechToText=c,c.__name__=\"SpeechToText\",c.__module__=\"panel.models.speech_to_text\",c.init_SpeechToText()},\n      \"bfa46a5f19\": function _(e,t,s,a,i){a();const o=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/core/util/array\"),n=e(\"@bokehjs/model\"),h=e(\"@bokehjs/protocol/receiver\");class _ extends o.View{renderTo(){}}s.StateView=_,_.__name__=\"StateView\";class r extends n.Model{constructor(e){super(e),this._receiver=new h.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let a=this.state;for(const e of this.values)a=a[e];a===t?this.apply_state(s):this._cache[a]&&this.apply_state(this._cache[a])}set_state(e,t){let s=(0,c.copy)(this.values);s[this.widgets[e.id]]=t;let a=this.state;for(const e of s)a=a[e];var i,o,n;this.values=s,this.json?this._cache[a]?this.apply_state(this._cache[a]):(i=a,o=e=>this._receive_json(e,a),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",i,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&o(n.responseText)},n.send(null)):this.apply_state(a)}static init_State(){this.prototype.default_view=_,this.define((({Any:e,Boolean:t})=>({json:[t,!1],state:[e,{}],widgets:[e,{}],values:[e,[]]})))}}s.State=r,r.__name__=\"State\",r.__module__=\"panel.models.state\",r.init_State()},\n      \"ab17724bd6\": function _(e,t,s,i,l){i();const h=e(\"tslib\"),a=e(\"@bokehjs/core/layout\"),o=e(\"@bokehjs/core/dom\"),d=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/models/layouts/tabs\"),r=e(\"@bokehjs/models/layouts/layout_dom\"),n=(0,h.__importStar)(e(\"@bokehjs/styles/tabs.css\")),_=(0,h.__importStar)(e(\"@bokehjs/styles/buttons.css\")),p=(0,h.__importStar)(e(\"@bokehjs/styles/menus.css\"));function b(e){e.style.visibility=\"\",e.style.opacity=\"\"}function m(e){e.style.visibility=\"hidden\",e.style.opacity=\"0\"}class u extends c.TabsView{connect_signals(){super.connect_signals();let e=this;for(;null!=e;)e.model.type.endsWith(\"Tabs\")&&e.connect(e.model.properties.active.change,(()=>this.update_zindex())),e=e.parent||e._parent}get is_visible(){let e=this.parent,t=this;for(;null!=e;){if(e.model.type.endsWith(\"Tabs\")&&e.child_views.indexOf(t)!==e.model.active)return!1;t=e,e=e.parent||e._parent}return!0}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const l=(0,o.size)(s),h=(0,o.children)(i).slice(0,3).map((e=>(0,o.size)(e))),{width:a,height:c}=super._measure(e);if(t){const t=l.width+(0,d.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:c}}{const t=l.height+(0,d.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el);let{width_policy:l,height_policy:h}=this.model;\"auto\"==l&&(l=this._width_policy()),\"auto\"==h&&(h=this._height_policy());const{sizing_mode:c}=this.model;null!=c&&(\"fixed\"==c?l=h=\"fixed\":\"stretch_both\"==c?l=h=\"max\":\"stretch_width\"==c?l=\"max\":\"stretch_height\"==c&&(h=\"max\")),t?this.header.set_sizing({width_policy:l,height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:h});let r=1,n=1;switch(e){case\"above\":r-=1;break;case\"below\":r+=1;break;case\"left\":n-=1;break;case\"right\":n+=1}const _={layout:this.header,row:r,col:n},p=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new a.Grid([_,...p]),this.layout.set_sizing(this.box_sizing())}update_zindex(){const{child_views:e}=this;for(const t of e)null!=t&&null!=t.el&&(t.el.style.zIndex=\"\");if(this.is_visible){const t=e[this.model.active];null!=t&&null!=t.el&&(t.el.style.zIndex=\"1\")}}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,o.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,o.size)(this.scroll_el),i=[...this.headers_el.children];if(t){const e=(0,d.sum)(i.map((e=>(0,o.scroll_size)(e).width))),{width:t}=this.header.bbox;e>t?(this.wrapper_el.style.maxWidth=t-s.width+\"px\",(0,o.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.headers_el.style.left=\"0px\",this.wrapper_el.style.maxWidth=\"\",(0,o.undisplay)(this.scroll_el))}else{const e=(0,d.sum)(i.map((e=>(0,o.scroll_size)(e).height))),{height:t}=this.header.bbox;e>t?(this.wrapper_el.style.maxHeight=t-s.height+\"px\",(0,o.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.headers_el.style.top=\"0px\",this.wrapper_el.style.maxHeight=\"\",(0,o.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)m(e.el),e.el.style.removeProperty(\"zIndex\");const h=l[this.model.active];null!=h&&b(h.el)}render(){r.LayoutDOMView.prototype.render.call(this);let{active:e}=this.model;const t=this.model.tabs.map(((t,s)=>{const i=(0,o.div)({class:[n.tab,s==e?n.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,o.div)({class:n.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,d.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(n.disabled),i}));this.headers_el=(0,o.div)({class:[n.headers]},t),this.wrapper_el=(0,o.div)({class:n.headers_wrapper},this.headers_el),this.left_el=(0,o.div)({class:[_.btn,_.btn_default],disabled:\"\"},(0,o.div)({class:[p.caret,n.left]})),this.right_el=(0,o.div)({class:[_.btn,_.btn_default]},(0,o.div)({class:[p.caret,n.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,o.div)({class:_.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,o.div)({class:[n.tabs_header,n[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el),this.update_zindex(),-1===e&&this.model.tabs.length&&(this.model.active=0)}on_active_change(){const e=this.model.active,t=(0,o.children)(this.headers_el);for(const e of t)e.classList.remove(n.active);t[e].classList.add(n.active);const{child_views:s}=this;for(const e of s)m(e.el);b(s[e].el)}}s.TabsView=u,u.__name__=\"TabsView\";class y extends c.Tabs{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=u,this.define((({})=>({})))}}s.Tabs=y,y.__name__=\"Tabs\",y.__module__=\"panel.models.tabs\",y.init_Tabs()},\n      \"3ea011fa55\": function _(e,t,i,n,s){n();const r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/core/bokeh_events\"),a=e(\"80a6464b1f\");class h extends l.ModelEvent{constructor(e){super(),this.key=e,this.event_name=\"keystroke\"}_to_json(){return{model:this.origin,key:this.key}}}i.KeystrokeEvent=h,h.__name__=\"KeystrokeEvent\";class d extends a.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.output.change,this.write),this.connect(this.model.properties._clears.change,this.clear)}render(){super.render(),this.container=(0,o.div)({class:\"terminal-container\"}),(0,a.set_size)(this.container,this.model),this.term=this.getNewTerminal(),this.term.onData((e=>{this.handleOnData(e)})),this.webLinksAddon=this.getNewWebLinksAddon(),this.term.loadAddon(this.webLinksAddon),this.term.open(this.container),this.term.onRender((()=>{this._rendered||this.fit()})),this.write(),this.el.appendChild(this.container)}getNewTerminal(){const e=window;return e.Terminal?new e.Terminal(this.model.options):new e.xtermjs.Terminal(this.model.options)}getNewWebLinksAddon(){return new window.WebLinksAddon.WebLinksAddon}handleOnData(e){this.model.trigger_event(new h(e))}write(){const e=this.model.output;if(null==e||!e.length)return;const t=e.replace(/\\r?\\n/g,\"\\r\\n\");this.term.write(t)}clear(){this.term.clear()}fit(){const e=this.box_sizing(),t=null==e.margin?0:e.margin.top+e.margin.bottom,i=null==e.margin?0:e.margin.left+e.margin.right,n=(this.layout.inner_bbox.width||this.model.width||0)-i,s=(this.layout.inner_bbox.height||this.model.height||0)-t,r=this.term._core._renderService,o=r.dimensions.actualCellWidth||9,l=r.dimensions.actualCellHeight||18;if(null==n||null==s||n<=0||s<=0)return;const a=Math.max(2,Math.floor(n/o)),h=Math.max(1,Math.floor(s/l));this.term.rows===h&&this.term.cols===a||this.term.resize(a,h),this.model.ncols=a,this.model.nrows=h,this._rendered=!0}after_layout(){super.after_layout(),this.fit()}resize_layout(){super.resize_layout(),this.fit()}}i.TerminalView=d,d.__name__=\"TerminalView\";class m extends r.HTMLBox{constructor(e){super(e)}static init_Terminal(){this.prototype.default_view=d,this.define((({Any:e,Int:t,String:i})=>({_clears:[t,0],options:[e,{}],output:[i],ncols:[t],nrows:[t]})))}}i.Terminal=m,m.__name__=\"Terminal\",m.__module__=\"panel.models.terminal\",m.init_Terminal()},\n      \"33cd2c254e\": function _(e,s,i,t,n){t();const h=e(\"@bokehjs/models/layouts/html_box\");function o(e){var s=[];for(let t of e){var i={default:t.default,lang:t.lang,local_service:t.localService,name:t.name,voice_uri:t.voiceURI};s.push(i)}return s}class c extends h.HTMLBoxView{initialize(){super.initialize(),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending,this.model.speaking=speechSynthesis.speaking,this._callback=window.setInterval((function(){!speechSynthesis.paused&&speechSynthesis.speaking&&window.speechSynthesis.resume()}),1e4);const e=()=>{\"undefined\"!=typeof speechSynthesis&&(this.voices=speechSynthesis.getVoices(),this.voices&&(this.model.voices=o(this.voices)))};e(),\"undefined\"!=typeof speechSynthesis&&void 0!==speechSynthesis.onvoiceschanged&&(speechSynthesis.onvoiceschanged=e)}remove(){null!=this._callback&&clearInterval(this._callback),speechSynthesis.cancel(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.speak.change,(()=>{this.speak()})),this.connect(this.model.properties.pause.change,(()=>{this.model.pause=!1,speechSynthesis.pause()})),this.connect(this.model.properties.resume.change,(()=>{this.model.resume=!1,speechSynthesis.resume()})),this.connect(this.model.properties.cancel.change,(()=>{this.model.cancel=!1,speechSynthesis.cancel()}))}speak(){let e=new SpeechSynthesisUtterance(this.model.speak.text);if(e.pitch=this.model.speak.pitch,e.volume=this.model.speak.volume,e.rate=this.model.speak.rate,this.model.voices)for(let s of this.voices)s.name===this.model.speak.voice&&(e.voice=s);e.onpause=()=>this.model.paused=!0,e.onstart=()=>{this.model.speaking=!0,this.model.paused=!1,this.model.pending=speechSynthesis.pending},e.onresume=()=>this.model.paused=!1,e.onend=()=>{this.model.speaking=!1,this.model.paused=!1,this.model.pending=speechSynthesis.pending},speechSynthesis.speak(e),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending}render(){super.render(),this.model.voices||(this.model.voices=o(this.voices)),null!=this.model.speak&&this.model.speak.text&&this.speak()}}i.TextToSpeechView=c,c.__name__=\"TextToSpeechView\";class p extends h.HTMLBox{constructor(e){super(e)}static init_TextToSpeech(){this.prototype.default_view=c,this.define((({Any:e,Array:s,Boolean:i})=>({paused:[i,!1],pending:[i,!1],speaking:[i,!1],voices:[s(e),[]],cancel:[i,!1],pause:[i,!1],resume:[i,!1],speak:[e,{}]})))}}i.TextToSpeech=p,p.__name__=\"TextToSpeech\",p.__module__=\"panel.models.text_to_speech\",p.init_TextToSpeech()},\n      \"effe070807\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/models/layouts/html_box\"),h=t(\"@bokehjs/core/build_views\"),a=t(\"@bokehjs/models/plots\"),n=t(\"@bokehjs/models/glyphs\"),d=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/models/sources/column_data_source\"),c=t(\"@bokehjs/models/formatters\");class p extends s.HTMLBoxView{initialize(){super.initialize(),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%;\"}),this.titleDiv=(0,d.div)({style:\"font-size: 1em; word-wrap: break-word;\"}),this.valueDiv=(0,d.div)({style:\"font-size: 2em\"}),this.value2Div=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.changeDiv=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.textDiv=(0,d.div)({},this.titleDiv,this.valueDiv,(0,d.div)({},this.changeDiv,this.value2Div)),this.updateTitle(),this.updateValue(),this.updateValue2(),this.updateValueChange(),this.updateTextFontSize(),this.plotDiv=(0,d.div)({}),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%\"},this.textDiv,this.plotDiv),this.updateLayout()}connect_signals(){super.connect_signals();const{pos_color:t,neg_color:e}=this.model.properties;this.on_change([t,e],(()=>this.updateValueChange()));const{plot_color:i,plot_type:l,width:o,height:s,sizing_mode:h}=this.model.properties;this.on_change([i,l,o,s,h],(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.updateTitle(!0))),this.connect(this.model.properties.value.change,(()=>this.updateValue(!0))),this.connect(this.model.properties.value_change.change,(()=>this.updateValue2(!0))),this.connect(this.model.properties.layout.change,(()=>this.updateLayout()))}async render(){super.render(),this.el.appendChild(this.containerDiv),await this.setPlot()}async setPlot(){this.plot=new a.Plot({background_fill_color:null,border_fill_color:null,outline_line_color:null,min_border:0,sizing_mode:\"stretch_both\",toolbar_location:null});var t=this.model.source;if(\"line\"===this.model.plot_type){var e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:4,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else if(\"step\"===this.model.plot_type){var i=new n.Step({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(i,t)}else if(\"area\"===this.model.plot_type){var l=new n.VArea({x:{field:this.model.plot_x},y1:{field:this.model.plot_y},y2:0,fill_color:this.model.plot_color,fill_alpha:.5});this.plot.add_glyph(l,t);e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else{var o=new n.VBar({x:{field:this.model.plot_x},top:{field:this.model.plot_y},width:.9,line_color:null,fill_color:this.model.plot_color});this.plot.add_glyph(o,t)}const s=await(0,h.build_view)(this.plot);this.plotDiv.innerHTML=\"\",s.renderTo(this.plotDiv)}after_layout(){super.after_layout(),this.updateTextFontSize()}updateTextFontSize(){this.updateTextFontSizeColumn()}updateTextFontSizeColumn(){let t=this.containerDiv.clientWidth,e=this.containerDiv.clientHeight;\"column\"===this.model.layout?e=Math.round(e/2):t=Math.round(t/2);const i=t/this.model.title.length*2,l=t/(2*this._value_format.length)*1.8,o=t/(this._value_change_format.length+1)*2,s=e/6,h=Math.min(i,l,o,s);this.textDiv.style.fontSize=Math.trunc(h)+\"px\",this.textDiv.style.lineHeight=\"1.3\"}updateTitle(t=!1){this.titleDiv.innerText=this.model.title,t&&this.updateTextFontSize()}updateValue(t=!1){this._value_format=this.model.formatter.doFormat([this.model.value],{loc:0})[0],this.valueDiv.innerText=this._value_format,t&&this.updateTextFontSize()}updateValue2(t=!1){this._value_change_format=this.model.change_formatter.doFormat([this.model.value_change],{loc:0})[0],this.value2Div.innerText=this._value_change_format,this.updateValueChange(),t&&this.updateTextFontSize()}updateValueChange(){this.model.value_change>0?(this.changeDiv.innerHTML=\"&#9650;\",this.changeDiv.style.color=this.model.pos_color):this.model.value_change<0?(this.changeDiv.innerHTML=\"&#9660;\",this.changeDiv.style.color=this.model.neg_color):(this.changeDiv.innerHTML=\"&nbsp;\",this.changeDiv.style.color=\"inherit\")}updateLayout(){\"column\"===this.model.layout?(this.containerDiv.style.display=\"block\",this.textDiv.style.height=\"50%\",this.textDiv.style.width=\"100%\",this.plotDiv.style.height=\"50%\",this.plotDiv.style.width=\"100%\"):(this.containerDiv.style.display=\"flex\",this.textDiv.style.height=\"100%\",this.textDiv.style.width=\"\",this.plotDiv.style.height=\"100%\",this.plotDiv.style.width=\"\",this.textDiv.style.flex=\"1\",this.plotDiv.style.flex=\"1\"),this._has_finished&&this.invalidate_layout()}}i.TrendIndicatorView=p,p.__name__=\"TrendIndicatorView\";class _ extends s.HTMLBox{constructor(t){super(t)}static init_TrendIndicator(){this.prototype.default_view=p,this.define((({Number:t,String:e,Ref:i})=>({description:[e,\"\"],formatter:[i(c.TickFormatter),()=>new c.BasicTickFormatter],change_formatter:[i(c.TickFormatter),()=>new c.NumeralTickFormatter],layout:[e,\"column\"],source:[i(r.ColumnDataSource)],plot_x:[e,\"x\"],plot_y:[e,\"y\"],plot_color:[e,\"#428bca\"],plot_type:[e,\"bar\"],pos_color:[e,\"#5cb85c\"],neg_color:[e,\"#d9534f\"],title:[e,\"\"],value:[t,0],value_change:[t,0]})))}}i.TrendIndicator=_,_.__name__=\"TrendIndicator\",_.__module__=\"panel.models.trend\",_.init_TrendIndicator()},\n      \"fea356270f\": function _(t,e,s,o,i){o();const a=t(\"@bokehjs/core/bokeh_events\"),n=t(\"@bokehjs/core/util/types\"),h=t(\"@bokehjs/models/layouts/html_box\"),c=t(\"99a25e6992\");class _ extends a.ModelEvent{constructor(t){super(),this.data=t,this.event_name=\"vega_event\"}_to_json(){return{model:this.origin,data:this.data}}}s.VegaEvent=_,_.__name__=\"VegaEvent\";class d extends h.HTMLBoxView{connect_signals(){super.connect_signals();const{data:t,show_actions:e,theme:s}=this.model.properties;this.on_change([t,e,s],(()=>{this._plot()})),this.connect(this.model.properties.data_sources.change,(()=>this._connect_sources())),this.connect(this.model.properties.events.change,(()=>{for(const t of this.model.events){if(this._callbacks.indexOf(t)>-1)continue;this._callbacks.push(t);const e=(t,e)=>this._dispatch_event(t,e),s=this.model.throttle[t]||20;this.vega_view.addSignalListener(t,(0,c.debounce)(e,s,!1))}})),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_dispatch_event(t,e){if(\"vlPoint\"in e&&null!=e.vlPoint.or){const t=[];for(const s of e.vlPoint.or)t.push(s._vgsid_);e=t}this.model.trigger_event(new _({type:t,value:e}))}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],i=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of i)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._callbacks=[],this._plot()}_plot(){const t=this.model.data;if(null==t||!window.vegaEmbed)return;if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=(0,n.isArray)(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}const e={actions:this.model.show_actions,theme:this.model.theme};window.vegaEmbed(this.el,this.model.data,e).then((t=>{this.vega_view=t.view,this.relayout(),(this.vega_view._viewHeight<=0||this.vega_view._viewWidth<=0)&&window.dispatchEvent(new Event(\"resize\"));const e=(t,e)=>this._dispatch_event(t,e);for(const t of this.model.events){this._callbacks.push(t);const s=this.model.throttle[t]||20;this.vega_view.addSignalListener(t,(0,c.debounce)(e,s,!1))}}))}relayout(){this.update_layout(),this.compute_layout(),this.root!==this?this.invalidate_layout():null!=this._parent&&this._parent.invalidate_layout()}box_sizing(){const t=super.box_sizing();return null!=this.vega_view&&(\"fixed\"===t.height_policy&&(t.height=this.vega_view._viewHeight),\"fixed\"===t.width_policy&&(t.width=this.vega_view._viewWidth)),t}}s.VegaPlotView=d,d.__name__=\"VegaPlotView\";class l extends h.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=d,this.define((({Any:t,Array:e,Boolean:s,String:o})=>({data:[t,{}],data_sources:[t,{}],events:[e(o),[]],show_actions:[s,!1],theme:[o],throttle:[t,{}]})))}}s.VegaPlot=l,l.__name__=\"VegaPlot\",l.__module__=\"panel.models.vega\",l.init_VegaPlot()},\n      \"1b46fd56a8\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"80a6464b1f\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.muted.change,(()=>this.set_muted())),this.connect(this.model.properties.autoplay.change,(()=>this.set_autoplay())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,this.videoEl.muted=this.model.muted,this.videoEl.autoplay=this.model.autoplay,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_muted(){this.videoEl.muted=this.model.muted}set_autoplay(){this.videoEl.autoplay=this.model.autoplay}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}i.VideoView=h,h.__name__=\"VideoView\";class m extends l.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=h,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],muted:[t,!1],autoplay:[t,!1],time:[o,0],throttle:[i,250],value:[e,\"\"],volume:[i]})))}}i.Video=m,m.__name__=\"Video\",m.__module__=\"panel.models.widgets\",m.init_Video()},\n      \"e3e9b8e495\": function _(e,t,i,s,o){s();const h=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"80a6464b1f\");class a extends l.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,(()=>this.set_timeout())),this.connect(this.model.properties.snapshot.change,(()=>this.snapshot())),this.connect(this.model.properties.paused.change,(()=>this.pause()))}pause(){this.model.paused?(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()):this.videoEl.play(),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),null!=this.model.timeout&&this.model.timeout>0&&(this.timer=setInterval((()=>this.snapshot()),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then((e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()})).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class n extends h.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define((({Any:e,Boolean:t,Int:i,Nullable:s,String:o})=>({format:[o,\"png\"],paused:[t,!1],snapshot:[t,!1],timeout:[s(i),null],value:[e]}))),this.override({height:240,width:320})}}i.VideoStream=n,n.__name__=\"VideoStream\",n.__module__=\"panel.models.widgets\",n.init_VideoStream()},\n      \"c51f25e2a7\": function _(o,V,l,K,T){K(),T(\"VTKJSPlot\",o(\"b6d9199d03\").VTKJSPlot),T(\"VTKVolumePlot\",o(\"7785475bdd\").VTKVolumePlot),T(\"VTKAxes\",o(\"ab478186ba\").VTKAxes),T(\"VTKSynchronizedPlot\",o(\"0a57062475\").VTKSynchronizedPlot)},\n      \"b6d9199d03\": function _(e,t,n,i,s){i();const a=e(\"e13c143c7d\"),r=e(\"993f3118b2\");class _ extends a.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this.invalidate_render()}))}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=r.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=r.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=window.vtk.macro.debounce((()=>setTimeout((()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()}),100)),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=_,_.__name__=\"VTKJSPlotView\";class o extends a.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=_,this.define((({Boolean:e,Nullable:t,String:n})=>({data:[t(n)],enable_keybindings:[e,!1]})))}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n      \"e13c143c7d\": function _(e,t,i,n,s){n();const a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/util/object\"),_=e(\"@bokehjs/models/mappers/color_mapper\"),d=e(\"@bokehjs/core/kinds\"),h=e(\"80a6464b1f\"),c=e(\"993f3118b2\"),l=e(\"c010237f8b\"),g=e(\"ab478186ba\"),p={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"},m=(0,d.Enum)(\"LowerLeft\",\"LowerRight\",\"UpperLeft\",\"UpperRight\",\"LowerEdge\",\"RightEdge\",\"LeftEdge\",\"UpperEdge\");class v extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\"),i=\"350px\",n=\"30px\";t.classList.add(\"vtk_info\"),(0,c.applyStyle)(t,p),(0,c.applyStyle)(t,{width:i}),this.el.appendChild(t);const s=[];this.model.color_mappers.forEach((e=>{const i=new l.VTKColorBar(t,e);s.push(i)}));const a=document.createElement(\"div\");(0,c.applyStyle)(a,{textAlign:\"center\",fontSize:\"20px\"}),a.innerText=\"...\",t.addEventListener(\"click\",(()=>{t.style.width===n?(t.removeChild(a),(0,c.applyStyle)(t,{height:\"auto\",width:i}),s.forEach((e=>t.appendChild(e.canvas)))):(s.forEach((e=>t.removeChild(e.canvas))),(0,c.applyStyle)(t,{height:n,width:n}),t.appendChild(a))})),t.click()}_init_annotations_container(){this._annotations_container||(this._annotations_container=document.createElement(\"div\"),this._annotations_container.style.position=\"absolute\",this._annotations_container.style.width=\"100%\",this._annotations_container.style.height=\"100%\",this._annotations_container.style.top=\"0\",this._annotations_container.style.left=\"0\",this._annotations_container.style.pointerEvents=\"none\")}_clean_annotations(){if(this._annotations_container)for(;this._annotations_container.firstElementChild;)this._annotations_container.firstElementChild.remove()}_add_annotations(){this._clean_annotations();const{annotations:e}=this.model;if(null!=e)for(let t of e){const{viewport:e,color:i,fontSize:n,fontFamily:s}=t;m.values.forEach((a=>{const r=t[a];if(r){const t=document.createElement(\"div\");t.textContent=r;const{style:o}=t;o.position=\"absolute\",o.color=`rgb(${i.map((e=>255*e)).join(\",\")})`,o.fontSize=`${n}px`,o.padding=\"5px\",o.fontFamily=s,o.width=\"fit-content\",\"UpperLeft\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*e[0]+\"%\"),\"UpperRight\"==a&&(o.top=100*(1-e[3])+\"%\",o.right=100*(1-e[2])+\"%\"),\"LowerLeft\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*e[0]+\"%\"),\"LowerRight\"==a&&(o.bottom=100*e[1]+\"%\",o.right=100*(1-e[2])+\"%\"),\"UpperEdge\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LowerEdge\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LeftEdge\"==a&&(o.left=100*e[0]+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),\"RightEdge\"==a&&(o.right=100*(1-e[2])+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),this._annotations_container.appendChild(t)}}))}}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,(()=>{this._orientation_widget_visibility(this.model.orientation_widget)})),this.on_change(this.model.properties.camera,(()=>this._set_camera_state())),this.on_change(this.model.properties.axes,(()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()})),this.on_change(this.model.properties.color_mappers,(()=>this._add_colorbars())),this.on_change(this.model.properties.annotations,(()=>this._add_annotations()))}render(){super.render(),this._vtk_renwin&&this._vtk_container?((0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=(0,a.div)(),this.init_vtk_renwin(),this._init_annotations_container(),(0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation((()=>this._get_camera_state())),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this._add_annotations(),this.model.renderer_el=this._vtk_renwin),this.el.appendChild(this._annotations_container)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}resize_layout(){this.layout&&super.resize_layout()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),null!=this._orientationWidget&&this._orientationWidget.delete(),this._vtk_renwin.getRenderWindow().getInteractor().delete(),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=(0,o.clone)(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=(0,a.canvas)({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback((()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}}))),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",(()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))})),this.el.addEventListener(\"mouseleave\",(()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}))}_create_orientation_widget(){const e=c.vtkns.AxesActor.newInstance();this._orientationWidget=c.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(c.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=c.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=c.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange((({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),s=t.getViewUp(),a=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*a,i[1]+e[1]*a,i[2]+e[2]*a),e[0]&&t.setViewUp((0,c.majorAxis)(s,1,2)),e[1]&&t.setViewUp((0,c.majorAxis)(s,0,2)),e[2]&&t.setViewUp((0,c.majorAxis)(s,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()}))}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach((e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]))),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},e&&this._vtk_renwin.getRenderer().addActor(e),t&&this._vtk_renwin.getRenderer().addActor(t),i&&this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map((e=>e.unsubscribe()))}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=v,v.__name__=\"AbstractVTKView\";class w extends r.HTMLBox{constructor(e){(0,c.setup_vtkns)(),super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define((({Any:e,Ref:t,Array:i,Boolean:n,Nullable:s})=>({axes:[s(t(g.VTKAxes)),null],camera:[e],color_mappers:[i(t(_.ColorMapper)),[]],orientation_widget:[n,!1],interactive_orientation_widget:[n,!1],annotations:[s(i(e)),null]}))),this.override({height:300,width:300})}}i.AbstractVTKPlot=w,w.__name__=\"AbstractVTKPlot\",w.__module__=\"panel.models.vtk\",w.init_AbstractVTKPlot()},\n      \"993f3118b2\": function _(e,n,t,r,a){r();const o=e(\"@bokehjs/core/util/array\"),i=e(\"@bokehjs/core/kinds\");function s(){if(null!=t.vtkns.Actor)return;const e=window.vtk;t.vtkns.Actor=e.Rendering.Core.vtkActor,t.vtkns.AxesActor=e.Rendering.Core.vtkAxesActor,t.vtkns.Base64=e.Common.Core.vtkBase64,t.vtkns.BoundingBox=e.Common.DataModel.vtkBoundingBox,t.vtkns.Camera=e.Rendering.Core.vtkCamera,t.vtkns.ColorTransferFunction=e.Rendering.Core.vtkColorTransferFunction,t.vtkns.CubeSource=e.Filters.Sources.vtkCubeSource,t.vtkns.DataAccessHelper=e.IO.Core.DataAccessHelper,t.vtkns.DataArray=e.Common.Core.vtkDataArray,t.vtkns.Follower=e.Rendering.Core.vtkFollower,t.vtkns.FullScreenRenderWindow=e.Rendering.Misc.vtkFullScreenRenderWindow,t.vtkns.Glyph3DMapper=e.Rendering.Core.vtkGlyph3DMapper,t.vtkns.HttpSceneLoader=e.IO.Core.vtkHttpSceneLoader,t.vtkns.ImageData=e.Common.DataModel.vtkImageData,t.vtkns.ImageMapper=e.Rendering.Core.vtkImageMapper,t.vtkns.ImageProperty=e.Rendering.Core.vtkImageProperty,t.vtkns.ImageSlice=e.Rendering.Core.vtkImageSlice,t.vtkns.InteractiveOrientationWidget=e.Widgets.Widgets3D.vtkInteractiveOrientationWidget,t.vtkns.InteractorStyleTrackballCamera=e.Interaction.Style.vtkInteractorStyleTrackballCamera,t.vtkns.Light=e.Rendering.Core.vtkLight,t.vtkns.LineSource=e.Filters.Sources.vtkLineSource,t.vtkns.LookupTable=e.Common.Core.vtkLookupTable,t.vtkns.macro=e.macro,t.vtkns.Mapper=e.Rendering.Core.vtkMapper,t.vtkns.OpenGLRenderWindow=e.Rendering.OpenGL.vtkRenderWindow,t.vtkns.OrientationMarkerWidget=e.Interaction.Widgets.vtkOrientationMarkerWidget,t.vtkns.OutlineFilter=e.Filters.General.vtkOutlineFilter,t.vtkns.PiecewiseFunction=e.Common.DataModel.vtkPiecewiseFunction,t.vtkns.PixelSpaceCallbackMapper=e.Rendering.Core.vtkPixelSpaceCallbackMapper,t.vtkns.PlaneSource=e.Filters.Sources.vtkPlaneSource,t.vtkns.PointSource=e.Filters.Sources.vtkPointSource,t.vtkns.PolyData=e.Common.DataModel.vtkPolyData,t.vtkns.Property=e.Rendering.Core.vtkProperty,t.vtkns.Renderer=e.Rendering.Core.vtkRenderer,t.vtkns.RenderWindow=e.Rendering.Core.vtkRenderWindow,t.vtkns.RenderWindowInteractor=e.Rendering.Core.vtkRenderWindowInteractor,t.vtkns.SphereMapper=e.Rendering.Core.vtkSphereMapper,t.vtkns.SynchronizableRenderWindow=e.Rendering.Misc.vtkSynchronizableRenderWindow,t.vtkns.ThirdParty=e.ThirdParty,t.vtkns.Texture=e.Rendering.Core.vtkTexture,t.vtkns.Volume=e.Rendering.Core.vtkVolume,t.vtkns.VolumeController=e.Interaction.UI.vtkVolumeController,t.vtkns.VolumeMapper=e.Rendering.Core.vtkVolumeMapper,t.vtkns.VolumeProperty=e.Rendering.Core.vtkVolumeProperty,t.vtkns.WidgetManager=e.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:n}=t.vtkns.SynchronizableRenderWindow;n.setTypeMapping(\"vtkVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkSmartVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkFollower\",t.vtkns.Follower.newInstance,n.genericUpdater),n.setTypeMapping(\"vtkOpenGLGlyph3DMapper\",t.vtkns.Glyph3DMapper.newInstance,n.genericUpdater)}function k(e){const n=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==n.length?n:\"0\"+n}function c(e,n,t){return\"#\"+k(e)+k(n)+k(t)}function v(e){for(var n=new ArrayBuffer(e.length),t=new Uint8Array(n),r=0,a=e.length;r<a;r++)t[r]=e.charCodeAt(r);return n}t.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},t.vtkns={},t.setup_vtkns=s,window.vtk&&s(),t.Interpolation=(0,i.Enum)(\"fast_linear\",\"linear\",\"nearest\"),t.applyStyle=function(e,n){Object.keys(n).forEach((t=>{e.style[t]=n[t]}))},t.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},t.rgbToHex=c,t.vtkLutToMapper=function(e){const{scale:n,nodes:r}=e.get(\"scale\",\"nodes\");if(n!==t.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const a=r.map((e=>e.x)),i=Math.min(...a),s=Math.max(...a),k=(0,o.linspace)(i,s,255),v=[0,0,0];return{low:i,high:s,palette:k.map((n=>(e.getColor(n,v),c(255*v[0],255*v[1],255*v[2]))))}},t.data2VTKImageData=function(e){const n=t.vtkns.ImageData.newInstance({spacing:e.spacing});n.setDimensions(e.dims),n.setOrigin(null!=e.origin?e.origin:e.dims.map((e=>e/2)));const r=t.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new t.ARRAY_TYPES[e.dtype](v(atob(e.buffer)))});return n.getPointData().setScalars(r),n},t.majorAxis=function(e,n,t){const r=[0,0,0],a=Math.abs(e[n])>Math.abs(e[t])?n:t,o=e[a]>0?1:-1;return r[a]=o,r},t.cartesian_product=function(...e){return e.reduce(((e,n)=>e.flatMap((e=>n.map((n=>[].concat(e,n)))))))}},\n      \"c010237f8b\": function _(t,i,e,s,h){s();const a=t(\"@bokehjs/models/mappers\"),n=t(\"@bokehjs/core/util/array\");class c{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return(0,n.linspace)(t,i,this.options.ticksNum)}get ticks(){return this.values.map((t=>t.toExponential(3)))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach((i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(`${i}`),h=e+s;t<h&&(t=h)})),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),s=t.length;e.width=s,e.height=1;const h=e.getContext(\"2d\"),c=h.getImageData(0,0,s,1),o=new a.LinearColorMapper({palette:t}).rgba_mapper.v_compute((0,n.range)(0,t.length));c.data.set(o),h.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=(0,n.linspace)(0,this.canvas.width,5);r.forEach(((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(`${this.ticks[e]}`,t,2*(i+1))})),this.ctx.restore()}}e.VTKColorBar=c,c.__name__=\"VTKColorBar\"},\n      \"ab478186ba\": function _(t,i,s,e,n){e();const a=t(\"@bokehjs/model\"),c=t(\"2f3fd5db07\"),r=t(\"993f3118b2\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define((({Any:t,Array:i,Boolean:s,Number:e})=>({origin:[i(e)],xticker:[t],yticker:[t],zticker:[t],digits:[e,1],show_grid:[s,!0],grid_opacity:[e,.1],axes_opacity:[e,1],fontsize:[e,12]})))}get xticks(){return this.xticker?this.xticker.ticks:[]}get yticks(){return this.yticker?this.yticker.ticks:[]}get zticks(){return this.zticker?this.zticker.ticks:[]}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map((t=>t.toFixed(this.digits)))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map((t=>t.toFixed(this.digits)))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map((t=>t.toFixed(this.digits)))}_make_grid_lines(t,i,s){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<i-1;t++){const a=n*i+t+s,c=[5,a,n*i+t+1+s,(n+1)*i+t+1+s,(n+1)*i+t+s,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push((0,r.cartesian_product)(this.xticks,this.yticks,[this.origin[2]])),t.push((0,r.cartesian_product)([this.origin[0]],this.yticks,this.zticks)),t.push((0,r.cartesian_product)(this.xticks,[this.origin[1]],this.zticks));const i=[];let s=0;i.push(this._make_grid_lines(this.xticks.length,this.yticks.length,s)),s+=this.xticks.length*this.yticks.length,i.push(this._make_grid_lines(this.yticks.length,this.zticks.length,s)),s+=this.yticks.length*this.zticks.length,i.push(this._make_grid_lines(this.xticks.length,this.zticks.length,s));const e=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:i.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){if(null==this.origin)return{psActor:null,axesActor:null,gridActor:null};const i=[this.xticks,this.yticks,this.zticks].map(((t,i)=>{let s=null;switch(i){case 0:s=(0,r.cartesian_product)(t,[this.origin[1]],[this.origin[2]]);break;case 1:s=(0,r.cartesian_product)([this.origin[0]],t,[this.origin[2]]);break;case 2:s=(0,r.cartesian_product)([this.origin[0]],[this.origin[1]],t)}return s})).flat(2),s=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:i},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(s),e.setUseZValues(!0),e.setCallback(((i,s,n)=>{const a=t.getContext(\"2d\");if(a){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=s.getViewMatrix();c.mat4.transpose(l,l);const o=s.getProjectionMatrix(n,-1,1);c.mat4.transpose(o,o),a.clearRect(0,0,r.width,r.height),i.forEach(((t,i)=>{const s=h.getPoint(i),e=c.vec3.fromValues(s[0],s[1],s[2]);if(c.vec3.transformMat4(e,e,l),e[2]+=.05,c.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let s;a.font=\"30px serif\",a.textAlign=\"center\",a.textBaseline=\"alphabetic\",a.fillText(\".\",t[0],r.height-t[1]+2),a.font=this.fontsize*window.devicePixelRatio+\"px serif\",a.textAlign=\"right\",a.textBaseline=\"top\",s=i<this.xticks.length?this.xlabels[i]:i>=this.xticks.length&&i<this.xticks.length+this.yticks.length?this.ylabels[i-this.xticks.length]:this.zlabels[i-(this.xticks.length+this.yticks.length)],a.fillText(`${s}`,t[0],r.height-t[1])}}))}}));const n=r.vtkns.Actor.newInstance();n.setMapper(e);const a=r.vtkns.Mapper.newInstance();a.setInputData(s);const h=r.vtkns.Actor.newInstance();h.setMapper(a),h.getProperty().setOpacity(this.axes_opacity);return{psActor:n,axesActor:h,gridActor:this._create_grid_axes()}}}s.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function _(t,c,a,o,r){o();const _=t(\"tslib\"),m=(0,_.__importStar)(t(\"68ca94c15c\"));a.glMatrix=m;const i=(0,_.__importStar)(t(\"7c0b8e6048\"));a.mat2=i;const n=(0,_.__importStar)(t(\"dc03f0a621\"));a.mat2d=n;const s=(0,_.__importStar)(t(\"0285c50a7e\"));a.mat3=s;const p=(0,_.__importStar)(t(\"a427635f32\"));a.mat4=p;const S=(0,_.__importStar)(t(\"eb06fc032a\"));a.quat=S;const e=(0,_.__importStar)(t(\"277615c682\"));a.quat2=e;const f=(0,_.__importStar)(t(\"c56d9ff837\"));a.vec2=f;const b=(0,_.__importStar)(t(\"2c5eb22089\"));a.vec3=b;const d=(0,_.__importStar)(t(\"c1aa33d719\"));a.vec4=d},\n      \"68ca94c15c\": function _(t,a,r,n,o){n(),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var h=Math.PI/180;r.toRadian=function(t){return t*h},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var 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t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=c,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],a=t[1],u=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(a-i)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(i))&&Math.abs(u-f)<=e.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(o-s)<=e.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=o,r.sub=c},\n      \"dc03f0a621\": function _(t,n,a,r,u){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function e(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1],f=a[2],M=a[3],b=a[4],l=a[5];return t[0]=r*s+o*h,t[1]=u*s+e*h,t[2]=r*f+o*M,t[3]=u*f+e*M,t[4]=r*b+o*l+c,t[5]=u*b+e*l+i,t}function c(t,n,a){return t[0]=n[0]-a[0],t[1]=n[1]-a[1],t[2]=n[2]-a[2],t[3]=n[3]-a[3],t[4]=n[4]-a[4],t[5]=n[5]-a[5],t}a.create=function(){var t=new o.ARRAY_TYPE(6);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[4]=0,t[5]=0),t[0]=1,t[3]=1,t},a.clone=function(t){var n=new o.ARRAY_TYPE(6);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n[4]=t[4],n[5]=t[5],n},a.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t},a.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t},a.fromValues=function(t,n,a,r,u,e){var c=new o.ARRAY_TYPE(6);return c[0]=t,c[1]=n,c[2]=a,c[3]=r,c[4]=u,c[5]=e,c},a.set=function(t,n,a,r,u,o,e){return t[0]=n,t[1]=a,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t},a.invert=function(t,n){var a=n[0],r=n[1],u=n[2],o=n[3],e=n[4],c=n[5],i=a*o-r*u;return i?(i=1/i,t[0]=o*i,t[1]=-r*i,t[2]=-u*i,t[3]=a*i,t[4]=(u*c-o*e)*i,t[5]=(r*e-a*c)*i,t):null},a.determinant=function(t){return t[0]*t[3]-t[1]*t[2]},a.multiply=e,a.rotate=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=Math.sin(a),h=Math.cos(a);return t[0]=r*h+o*s,t[1]=u*h+e*s,t[2]=r*-s+o*h,t[3]=u*-s+e*h,t[4]=c,t[5]=i,t},a.scale=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1];return t[0]=r*s,t[1]=u*s,t[2]=o*h,t[3]=e*h,t[4]=c,t[5]=i,t},a.translate=function(t,n,a){var r=n[0],u=n[1],o=n[2],e=n[3],c=n[4],i=n[5],s=a[0],h=a[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=r*s+o*h+c,t[5]=u*s+e*h+i,t},a.fromRotation=function(t,n){var a=Math.sin(n),r=Math.cos(n);return t[0]=r,t[1]=a,t[2]=-a,t[3]=r,t[4]=0,t[5]=0,t},a.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t[4]=0,t[5]=0,t},a.fromTranslation=function(t,n){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=n[0],t[5]=n[1],t},a.str=function(t){return\"mat2d(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\")\"},a.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],1)},a.add=function(t,n,a){return t[0]=n[0]+a[0],t[1]=n[1]+a[1],t[2]=n[2]+a[2],t[3]=n[3]+a[3],t[4]=n[4]+a[4],t[5]=n[5]+a[5],t},a.subtract=c,a.multiplyScalar=function(t,n,a){return t[0]=n[0]*a,t[1]=n[1]*a,t[2]=n[2]*a,t[3]=n[3]*a,t[4]=n[4]*a,t[5]=n[5]*a,t},a.multiplyScalarAndAdd=function(t,n,a,r){return t[0]=n[0]+a[0]*r,t[1]=n[1]+a[1]*r,t[2]=n[2]+a[2]*r,t[3]=n[3]+a[3]*r,t[4]=n[4]+a[4]*r,t[5]=n[5]+a[5]*r,t},a.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]&&t[4]===n[4]&&t[5]===n[5]},a.equals=function(t,n){var a=t[0],r=t[1],u=t[2],e=t[3],c=t[4],i=t[5],s=n[0],h=n[1],f=n[2],M=n[3],b=n[4],l=n[5];return Math.abs(a-s)<=o.EPSILON*Math.max(1,Math.abs(a),Math.abs(s))&&Math.abs(r-h)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(h))&&Math.abs(u-f)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(e-M)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(M))&&Math.abs(c-b)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(i-l)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(l))},a.mul=e,a.sub=c},\n      \"0285c50a7e\": function _(t,a,n,r,u){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function e(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],A=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+A*s,t[7]=P*u+S*i+A*M,t[8]=P*o+S*c+A*h,t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new o.ARRAY_TYPE(9);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new o.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,r,u,e,i,c,s){var M=new o.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=r,M[4]=u,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=e,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,A=n*s-o*e,x=r*c-u*i,d=r*s-o*i,I=u*s-o*c,L=M*m-h*l,N=M*v-f*l,O=M*E-b*l,R=h*v-f*m,p=h*E-b*m,Y=f*E-b*v,y=P*Y-S*p+A*R+x*O-d*N+I*L;return y?(y=1/y,t[0]=(i*Y-c*p+s*R)*y,t[1]=(c*O-e*Y-s*N)*y,t[2]=(e*p-i*O+s*L)*y,t[3]=(u*p-r*Y-o*R)*y,t[4]=(n*Y-u*O+o*N)*y,t[5]=(r*O-n*p-o*L)*y,t[6]=(m*I-v*d+E*x)*y,t[7]=(v*A-l*I-E*S)*y,t[8]=(l*d-m*A+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],A=a[8];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-b)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(e-m)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))},n.mul=e,n.sub=i},\n      \"a427635f32\": function _(t,a,n,r,h){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function u(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}function M(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],m=a[12],v=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],L=n[3];return t[0]=S*r+I*M+O*c+L*m,t[1]=S*h+I*s+O*f+L*v,t[2]=S*o+I*e+O*b+L*P,t[3]=S*u+I*i+O*l+L*E,S=n[4],I=n[5],O=n[6],L=n[7],t[4]=S*r+I*M+O*c+L*m,t[5]=S*h+I*s+O*f+L*v,t[6]=S*o+I*e+O*b+L*P,t[7]=S*u+I*i+O*l+L*E,S=n[8],I=n[9],O=n[10],L=n[11],t[8]=S*r+I*M+O*c+L*m,t[9]=S*h+I*s+O*f+L*v,t[10]=S*o+I*e+O*b+L*P,t[11]=S*u+I*i+O*l+L*E,S=n[12],I=n[13],O=n[14],L=n[15],t[12]=S*r+I*M+O*c+L*m,t[13]=S*h+I*s+O*f+L*v,t[14]=S*o+I*e+O*b+L*P,t[15]=S*u+I*i+O*l+L*E,t}function s(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,s=h+h,e=o+o,i=r*M,c=r*s,f=r*e,b=h*s,l=h*e,m=o*e,v=u*M,P=u*s,E=u*e;return t[0]=1-(b+m),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+m),t[6]=l+v,t[7]=0,t[8]=f+P,t[9]=l-v,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function e(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],s=a[8],e=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(s,e,i),t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new o.ARRAY_TYPE(16);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new o.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,r,h,u,M,s,e,i,c,f,b,l,m,v){var P=new o.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=r,P[4]=h,P[5]=u,P[6]=M,P[7]=s,P[8]=e,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=m,P[15]=v,P},n.set=function(t,a,n,r,h,o,u,M,s,e,i,c,f,b,l,m,v){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=s,t[8]=e,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=m,t[15]=v,t},n.identity=u,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15],E=n*M-r*u,S=n*s-h*u,I=n*e-o*u,O=r*s-h*M,L=r*e-o*M,N=h*e-o*s,p=i*m-c*l,R=i*v-f*l,x=i*P-b*l,A=c*v-f*m,y=c*P-b*m,Y=f*P-b*v,g=E*Y-S*y+I*A+O*x-L*R+N*p;return g?(g=1/g,t[0]=(M*Y-s*y+e*A)*g,t[1]=(h*y-r*Y-o*A)*g,t[2]=(m*N-v*L+P*O)*g,t[3]=(f*L-c*N-b*O)*g,t[4]=(s*x-u*Y-e*R)*g,t[5]=(n*Y-h*x+o*R)*g,t[6]=(v*I-l*N-P*S)*g,t[7]=(i*N-f*I+b*S)*g,t[8]=(u*y-M*x+e*p)*g,t[9]=(r*x-n*y-o*p)*g,t[10]=(l*L-m*I+P*E)*g,t[11]=(c*I-i*L-b*E)*g,t[12]=(M*R-u*A-s*p)*g,t[13]=(n*A-r*R+h*p)*g,t[14]=(m*S-l*O-v*E)*g,t[15]=(i*O-c*S+f*E)*g,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15];return t[0]=M*(f*P-b*v)-c*(s*P-e*v)+m*(s*b-e*f),t[1]=-(r*(f*P-b*v)-c*(h*P-o*v)+m*(h*b-o*f)),t[2]=r*(s*P-e*v)-M*(h*P-o*v)+m*(h*e-o*s),t[3]=-(r*(s*b-e*f)-M*(h*b-o*f)+c*(h*e-o*s)),t[4]=-(u*(f*P-b*v)-i*(s*P-e*v)+l*(s*b-e*f)),t[5]=n*(f*P-b*v)-i*(h*P-o*v)+l*(h*b-o*f),t[6]=-(n*(s*P-e*v)-u*(h*P-o*v)+l*(h*e-o*s)),t[7]=n*(s*b-e*f)-u*(h*b-o*f)+i*(h*e-o*s),t[8]=u*(c*P-b*m)-i*(M*P-e*m)+l*(M*b-e*c),t[9]=-(n*(c*P-b*m)-i*(r*P-o*m)+l*(r*b-o*c)),t[10]=n*(M*P-e*m)-u*(r*P-o*m)+l*(r*e-o*M),t[11]=-(n*(M*b-e*c)-u*(r*b-o*c)+i*(r*e-o*M)),t[12]=-(u*(c*v-f*m)-i*(M*v-s*m)+l*(M*f-s*c)),t[13]=n*(c*v-f*m)-i*(r*v-h*m)+l*(r*f-h*c),t[14]=-(n*(M*v-s*m)-u*(r*v-h*m)+l*(r*s-h*M)),t[15]=n*(M*f-s*c)-u*(r*f-h*c)+i*(r*s-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],s=t[7],e=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],m=t[14],v=t[15];return(a*u-n*o)*(c*v-f*m)-(a*M-r*o)*(i*v-f*l)+(a*s-h*o)*(i*m-c*l)+(n*M-r*u)*(e*v-f*b)-(n*s-h*u)*(e*m-c*b)+(r*s-h*M)*(e*l-i*b)},n.multiply=M,n.translate=function(t,a,n){var r,h,o,u,M,s,e,i,c,f,b,l,m=n[0],v=n[1],P=n[2];return a===t?(t[12]=a[0]*m+a[4]*v+a[8]*P+a[12],t[13]=a[1]*m+a[5]*v+a[9]*P+a[13],t[14]=a[2]*m+a[6]*v+a[10]*P+a[14],t[15]=a[3]*m+a[7]*v+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=s,t[6]=e,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*m+M*v+c*P+a[12],t[13]=h*m+s*v+f*P+a[13],t[14]=o*m+e*v+b*P+a[14],t[15]=u*m+i*v+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,r){var h,u,M,s,e,i,c,f,b,l,m,v,P,E,S,I,O,L,N,p,R,x,A,y,Y=r[0],g=r[1],T=r[2],d=Math.hypot(Y,g,T);return d<o.EPSILON?null:(Y*=d=1/d,g*=d,T*=d,h=Math.sin(n),M=1-(u=Math.cos(n)),s=a[0],e=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],m=a[7],v=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=g*Y*M+T*h,L=T*Y*M-g*h,N=Y*g*M-T*h,p=g*g*M+u,R=T*g*M+Y*h,x=Y*T*M+g*h,A=g*T*M-Y*h,y=T*T*M+u,t[0]=s*I+f*O+v*L,t[1]=e*I+b*O+P*L,t[2]=i*I+l*O+E*L,t[3]=c*I+m*O+S*L,t[4]=s*N+f*p+v*R,t[5]=e*N+b*p+P*R,t[6]=i*N+l*p+E*R,t[7]=c*N+m*p+S*R,t[8]=s*x+f*A+v*y,t[9]=e*x+b*A+P*y,t[10]=i*x+l*A+E*y,t[11]=c*x+m*A+S*y,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],s=a[7],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+e*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=s*h+f*r,t[8]=e*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-s*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-e*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=s*h-f*r,t[8]=o*r+e*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=s*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+e*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=s*h+f*r,t[4]=e*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-s*r,t},n.fromTranslation=function(t,a){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]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var r,h,u,M=n[0],s=n[1],e=n[2],i=Math.hypot(M,s,e);return i<o.EPSILON?null:(M*=i=1/i,s*=i,e*=i,r=Math.sin(a),u=1-(h=Math.cos(a)),t[0]=M*M*u+h,t[1]=s*M*u+e*r,t[2]=e*M*u-s*r,t[3]=0,t[4]=M*s*u-e*r,t[5]=s*s*u+h,t[6]=e*s*u+M*r,t[7]=0,t[8]=M*e*u+s*r,t[9]=s*e*u-M*r,t[10]=e*e*u+h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,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},n.fromRotationTranslation=s,n.fromQuat2=function(t,a){var n=new o.ARRAY_TYPE(3),r=-a[0],h=-a[1],u=-a[2],M=a[3],e=a[4],i=a[5],c=a[6],f=a[7],b=r*r+h*h+u*u+M*M;return b>0?(n[0]=2*(e*M+f*r+i*u-c*h)/b,n[1]=2*(i*M+f*h+c*r-e*u)/b,n[2]=2*(c*M+f*u+e*h-i*r)/b):(n[0]=2*(e*M+f*r+i*u-c*h),n[1]=2*(i*M+f*h+c*r-e*u),n[2]=2*(c*M+f*u+e*h-i*r)),s(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=e,n.getRotation=function(t,a){var n=new o.ARRAY_TYPE(3);e(n,a);var r=1/n[0],h=1/n[1],u=1/n[2],M=a[0]*r,s=a[1]*h,i=a[2]*u,c=a[4]*r,f=a[5]*h,b=a[6]*u,l=a[8]*r,m=a[9]*h,v=a[10]*u,P=M+f+v,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-m)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):M>f&&M>v?(E=2*Math.sqrt(1+M-f-v),t[3]=(b-m)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>v?(E=2*Math.sqrt(1+f-M-v),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+m)/E):(E=2*Math.sqrt(1+v-M-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+m)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],s=h+h,e=o+o,i=u+u,c=h*s,f=h*e,b=h*i,l=o*e,m=o*i,v=u*i,P=M*s,E=M*e,S=M*i,I=r[0],O=r[1],L=r[2];return t[0]=(1-(l+v))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+v))*O,t[6]=(m+P)*O,t[7]=0,t[8]=(b+E)*L,t[9]=(m-P)*L,t[10]=(1-(c+l))*L,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var 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n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=s,r.squaredDistance=h,r.length=M,r.squaredLength=l,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*e.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],a=n[1],u=t[0],o=t[1];return Math.abs(r-u)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(u))&&Math.abs(a-o)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(o))},r.len=M,r.sub=c,r.mul=i,r.div=f,r.dist=s,r.sqrDist=h,r.sqrLen=l,r.forEach=(v=o(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)v[0]=n[o],v[1]=n[o+1],u(v,v,e),n[o]=v[0],n[o+1]=v[1];return n})},\n      \"7785475bdd\": function _(e,t,i,s,n){s();const r=e(\"e13c143c7d\"),o=e(\"993f3118b2\");class a extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data),this.invalidate_render()})),this.connect(this.model.properties.colormap.change,(()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)})),this.connect(this.model.properties.shadow.change,(()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)})),this.connect(this.model.properties.sampling.change,(()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)})),this.connect(this.model.properties.edge_gradient.change,(()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)})),this.connect(this.model.properties.rescale.change,(()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.ambient.change,(()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.diffuse.change,(()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular.change,(()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular_power.change,(()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_volume.change,(()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_slices.change,(()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.slice_i.change,(()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_j.change,(()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_k.change,(()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.render_background.change,(()=>{this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.interpolation.change,(()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.controller_expanded.change,(()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})),this.connect(this.model.properties.nan_opacity.change,(()=>{const e=this.image_actor_i.getProperty().getScalarOpacity();e.get([\"nodes\"]).nodes[0].y=this.model.nan_opacity,e.modified(),this._vtk_renwin.getRenderWindow().render()}))}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=o.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=o.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",(()=>this.model.controller_expanded=this._controllerWidget.getExpanded()))}this.colormap_selector.addEventListener(\"change\",(()=>{this.model.colormap=this.colormap_selector.value})),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",(()=>{this.model.shadow=!!Number(this.shadow_selector.value)})),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",(()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)})),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",(()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)})),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=o.vtkns.ImageSlice.newInstance(),i=o.vtkns.ImageSlice.newInstance(),s=o.vtkns.ImageSlice.newInstance(),n=o.vtkns.ImageMapper.newInstance(),r=o.vtkns.ImageMapper.newInstance(),a=o.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),r.setInputData(e),r.setJSlice(this.model.slice_j),i.setMapper(r),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=o.vtkns.PiecewiseFunction.newInstance(),d=this.volume.getProperty().getRGBTransferFunction(0),c=this.volume.getMapper().getInputData().getPointData().getScalars().getRange();l.removeAllPoints(),l.addPoint(c[0]-1,this.model.nan_opacity),l.addPoint(c[0],1),l.addPoint(c[1],1);const _=t.getProperty();i.setProperty(_),s.setProperty(_),_.setRGBTransferFunction(d),_.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=o.vtkns.Volume.newInstance(),i=o.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=o.vtkns.ColorTransferFunction.newInstance();n.onModified((()=>this.model.mapper=(0,o.vtkLutToMapper)(n)));const r=o.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map((e=>e*e)).reduce(((e,t)=>e+t),0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,r),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,o.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this.image_actor_i.setVisibility(e),this.image_actor_j.setVisibility(e),this.image_actor_k.setVisibility(e)}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=a,a.__name__=\"VTKVolumePlotView\";class l extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=a,this.define((({Any:e,Array:t,Boolean:i,Int:s,Number:n,String:r,Struct:a})=>({ambient:[n,.2],colormap:[r],data:[e],diffuse:[n,.7],display_slices:[i,!1],display_volume:[i,!0],edge_gradient:[n,.2],interpolation:[o.Interpolation,\"fast_linear\"],mapper:[a({palette:t(r),low:n,high:n})],nan_opacity:[n,1],render_background:[r,\"#52576e\"],rescale:[i,!1],sampling:[n,.4],shadow:[i,!0],slice_i:[s,0],slice_j:[s,0],slice_k:[s,0],specular:[n,.3],specular_power:[n,8],controller_expanded:[i,!0]})))}}i.VTKVolumePlot=l,l.__name__=\"VTKVolumePlot\",l.init_VTKVolumePlot()},\n      \"0a57062475\": function _(e,t,n,s,i){s();const r=e(\"@bokehjs/core/util/object\"),o=e(\"e13c143c7d\"),_=e(\"877619fe71\"),a=e(\"993f3118b2\"),c=\"panel\";class h extends o.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=a.vtkns.SynchronizableRenderWindow.getSynchronizerContext(c)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,(()=>this._decode_arrays())),this.connect(this.model.properties.scene.change,(()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>{this._on_scene_ready()}))}))}})),this.connect(this.model.properties.one_time_reset.change,(()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()}))}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>this._on_scene_ready())).then((()=>{this._set_camera_state(),this._get_camera_state()}))}))}_decode_arrays(){const e=new a.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,i=this.model;Object.keys(t).forEach((r=>{this._decoded_arrays[r]||(this._decoded_arrays[r]=!0,this._promises.push(function(r){return e.loadAsync(atob(t[r])).then((e=>e.file(\"data/\"+r))).then((e=>e.async(\"arraybuffer\"))).then((e=>n(r,e))).then((()=>{s.push(r),i.properties.arrays_processed.change.emit()}))}(r)))}))}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified((()=>this._vtk_render()))),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction((e=>Promise.resolve(this._arrays[e])));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=h,h.__name__=\"VTKSynchronizedPlotView\";class d extends o.AbstractVTKPlot{constructor(e){super(e),(0,_.initialize_fullscreen_render)(),this.outline=a.vtkns.OutlineFilter.newInstance();const t=a.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=a.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}getActors(e){let t=this.renderer_el.getRenderer().getActors();if(e){const n=this.renderer_el.getSynchronizerContext(c);t=t.filter((t=>{const s=n.getInstanceId(t);return!!s&&s.slice(-16)==e.slice(1,17)}))}return t}static init_VTKSynchronizedPlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:n,String:s})=>({arrays:[e,{}],arrays_processed:[t(s),[]],enable_keybindings:[n,!1],one_time_reset:[n],rebuild:[n,!1],scene:[e,{}]}))),this.override({height:300,width:300})}}n.VTKSynchronizedPlot=d,d.__name__=\"VTKSynchronizedPlot\",d.__module__=\"panel.models.vtk\",d.init_VTKSynchronizedPlot()},\n      \"877619fe71\": function _(e,n,o,t,r){t();const i=e(\"993f3118b2\"),l={containerStyle:null,controlPanelStyle:null,listenWindowResize:!0,resizeCallback:null,controllerVisibility:!0,synchronizerContextName:\"default\"},a={position:\"absolute\",left:\"25px\",top:\"25px\",backgroundColor:\"white\",borderRadius:\"5px\",listStyle:\"none\",padding:\"5px 10px\",margin:\"0\",display:\"block\",border:\"solid 1px black\",maxWidth:\"calc(100vw - 70px)\",maxHeight:\"calc(100vh - 60px)\",overflow:\"auto\"};o.initialize_fullscreen_render=function(){let e={newInstance:window.vtk.macro.newInstance(((e,n,o={})=>{Object.assign(n,l,o),window.vtk.macro.obj(e,n),window.vtk.macro.get(e,n,[\"renderWindow\",\"openGLRenderWindow\",\"interactor\",\"rootContainer\",\"container\",\"controlContainer\",\"synchronizerContext\"]),function(e,n){n.renderWindow=i.vtkns.SynchronizableRenderWindow.newInstance({synchronizerContext:n.synchronizerContext}),n.openGLRenderWindow=i.vtkns.OpenGLRenderWindow.newInstance(),n.openGLRenderWindow.setContainer(n.container),n.renderWindow.addView(n.openGLRenderWindow),n.interactor=i.vtkns.RenderWindowInteractor.newInstance(),n.interactor.setInteractorStyle(i.vtkns.InteractorStyleTrackballCamera.newInstance()),n.interactor.setView(n.openGLRenderWindow),n.interactor.initialize(),n.interactor.bindEvents(n.container),e.getRenderer=()=>n.renderWindow.getRenderers()[0],e.removeController=()=>{const e=n.controlContainer;e&&e.parentNode.removeChild(e)},e.setControllerVisibility=e=>{n.controllerVisibility=e,n.controlContainer&&(n.controlContainer.style.display=e?\"block\":\"none\")},e.toggleControllerVisibility=()=>{e.setControllerVisibility(!n.controllerVisibility)},e.addController=o=>{n.controlContainer=document.createElement(\"div\"),(0,i.applyStyle)(n.controlContainer,n.controlPanelStyle||a),n.rootContainer.appendChild(n.controlContainer),n.controlContainer.innerHTML=o,e.setControllerVisibility(n.controllerVisibility),n.rootContainer.addEventListener(\"keypress\",(n=>{\"c\"===String.fromCharCode(n.charCode)&&e.toggleControllerVisibility()}))},e.delete=window.vtk.macro.chain(e.setContainer,n.openGLRenderWindow.delete,e.delete),e.resize=()=>{const e=n.container.getBoundingClientRect(),o=window.devicePixelRatio||1;n.openGLRenderWindow.setSize(Math.floor(e.width*o),Math.floor(e.height*o)),n.resizeCallback&&n.resizeCallback(e),n.renderWindow.render()},e.setResizeCallback=o=>{n.resizeCallback=o,e.resize()},n.listenWindowResize&&window.addEventListener(\"resize\",e.resize),e.resize()}(e,n)}))};i.vtkns.FullScreenRenderWindowSynchronized=e}},\n      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"5b284469f0\",\"models/ace\":\"2e12ebdb23\",\"models/layout\":\"80a6464b1f\",\"models/audio\":\"33955cfa6f\",\"models/card\":\"0972f6e77b\",\"models/comm_manager\":\"754fbb1f55\",\"models/customselect\":\"e258e515be\",\"models/tabulator\":\"514284d52d\",\"models/data\":\"7f7d9e0c6b\",\"models/datetime_picker\":\"b843627155\",\"models/deckgl\":\"0155f7af4d\",\"models/tooltips\":\"6e04fbe567\",\"models/echarts\":\"9d046c4720\",\"models/html\":\"3d7593ca5a\",\"models/event-to-object\":\"d92f7d4d2b\",\"models/idom\":\"7d45bd3bc4\",\"models/ipywidget\":\"5ad9f86156\",\"models/json\":\"0d30bea0c8\",\"models/jsoneditor\":\"5379466860\",\"models/file_download\":\"9c8ebc5d9b\",\"models/katex\":\"7b859fb3cf\",\"models/location\":\"aca9ec82ba\",\"models/mathjax\":\"0c21036737\",\"models/perspective\":\"4ae96bd77b\",\"models/player\":\"588a5ae70d\",\"models/plotly\":\"29668762ee\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"6f9142671f\",\"models/quill\":\"d51a79a0a3\",\"models/reactive_html\":\"ad426de39c\",\"models/singleselect\":\"ab54efe08a\",\"models/speech_to_text\":\"a96be0bcc9\",\"models/state\":\"bfa46a5f19\",\"models/tabs\":\"ab17724bd6\",\"models/terminal\":\"3ea011fa55\",\"models/text_to_speech\":\"33cd2c254e\",\"models/trend\":\"effe070807\",\"models/vega\":\"fea356270f\",\"models/video\":\"1b46fd56a8\",\"models/videostream\":\"e3e9b8e495\",\"models/vtk/index\":\"c51f25e2a7\",\"models/vtk/vtkjs\":\"b6d9199d03\",\"models/vtk/vtklayout\":\"e13c143c7d\",\"models/vtk/util\":\"993f3118b2\",\"models/vtk/vtkcolorbar\":\"c010237f8b\",\"models/vtk/vtkaxes\":\"ab478186ba\",\"models/vtk/vtkvolume\":\"7785475bdd\",\"models/vtk/vtksynchronized\":\"0a57062475\",\"models/vtk/panel_fullscreen_renwin_sync\":\"877619fe71\"}, {});});\n\n      /* END panel.min.js */\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, js_modules, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
+      "application/vnd.holoviews_load.v0+json": ""
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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(degrees_east)\",\"$x\"],[\"latitude (degrees_north)\",\"$y\"],[\"drought stress coefficient (arbitrary unit)\",\"@image\"]]},\"id\":\"1005\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1054\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1066\",\"type\":\"NoOverlap\"},{\"attributes\":{\"below\":[{\"id\":\"1015\"}],\"center\":[{\"id\":\"1018\"},{\"id\":\"1022\"}],\"left\":[{\"id\":\"1019\"}],\"margin\":[5,5,5,5],\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"min_border_top\":10,\"renderers\":[{\"id\":\"1046\"}],\"right\":[{\"id\":\"1049\"}],\"sizing_mode\":\"fixed\",\"title\":{\"id\":\"1007\"},\"toolbar\":{\"id\":\"1029\"},\"x_range\":{\"id\":\"1003\"},\"x_scale\":{\"id\":\"1011\"},\"y_range\":{\"id\":\"1004\"},\"y_scale\":{\"id\":\"1013\"}},\"id\":\"1006\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1038\",\"type\":\"Selection\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"spatial_ref = 0\",\"text_color\":\"black\",\"text_font_size\":\"12pt\"},\"id\":\"1007\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1056\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1036\"},\"dh\":{\"field\":\"dh\"},\"dw\":{\"field\":\"dw\"},\"image\":{\"field\":\"image\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1040\",\"type\":\"Image\"},{\"attributes\":{},\"id\":\"1057\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1011\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"longitude (degrees_east)\",\"coordinates\":null,\"formatter\":{\"id\":\"1053\"},\"group\":null,\"major_label_policy\":{\"id\":\"1054\"},\"ticker\":{\"id\":\"1016\"}},\"id\":\"1015\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"1002\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
+       "    var render_items = [{\"docid\":\"59ff7606-4245-4603-8fa6-45d411a6a5e6\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"1cf95769-f7cd-404f-adcc-534355f8aacd\"}}];\n",
        "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
@@ -6481,13 +6509,13 @@
        "})(window);</script>"
       ],
       "text/plain": [
-       ":Image   [x,y]   (rdtPot)"
+       ":Image   [x,y]   (cstr)"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 16,
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
-       "id": "1129"
+       "id": "1002"
       }
      },
      "output_type": "execute_result"
@@ -6497,13 +6525,6 @@
     "import hvplot.xarray\n",
     "data[variable][-1,:,:].hvplot(height=600, width=600)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {