diff --git a/.github/workflows/flake8.yaml b/.github/workflows/flake8.yaml
index c71678e4..011af0d8 100644
--- a/.github/workflows/flake8.yaml
+++ b/.github/workflows/flake8.yaml
@@ -12,14 +12,14 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8]
+        python-version: [3.12]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
       with:
         fetch-depth: 0  # fetch all branches, needed so we can diff against the target branch
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
     - name: Install flake8
diff --git a/.github/workflows/nbval.yaml b/.github/workflows/nbval.yaml
index 761c6da0..a0ac5201 100644
--- a/.github/workflows/nbval.yaml
+++ b/.github/workflows/nbval.yaml
@@ -17,11 +17,11 @@ jobs:
         ]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
-        python-version: "3.10"
+        python-version: "3.12"
     - name: Install notebook environment
       run: |
         python -m pip install --upgrade pip wheel
@@ -36,7 +36,7 @@ jobs:
         mkdir docs/artifacts
         jupyter nbconvert --to html --execute --ExecutePreprocessor.timeout=600 --allow-errors --output artifacts/${{ matrix.notebook-file }}.html docs/${{ matrix.notebook-file }}
     - name: Upload artifacts
-      uses: actions/upload-artifact@v2
+      uses: actions/upload-artifact@v4
       with:
-        name: executed_notebooks
+        name: executed_notebook_${{ matrix.notebook-file }}
         path: docs/artifacts
diff --git a/.github/workflows/pytest.yaml b/.github/workflows/pytest.yaml
index 391d58f1..fc277b09 100644
--- a/.github/workflows/pytest.yaml
+++ b/.github/workflows/pytest.yaml
@@ -14,28 +14,27 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.7", "3.8", "3.9", "3.10"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
         env: [
           '-r requirements.txt .[test]',
           '-r requirements-min.txt .[test]',
           '--upgrade --upgrade-strategy=eager .[test]'
         ]
         exclude:
-          - python-version: 3.8
+          - python-version: "3.9"
+            env: "-r requirements.txt .[test]"
+          - python-version: "3.10"
             env: '-r requirements-min.txt .[test]'
-          - python-version: 3.9
+          - python-version: "3.11"
             env: '-r requirements-min.txt .[test]'
-          - python-version: "3.10"
+          - python-version: "3.12"
             env: '-r requirements-min.txt .[test]'
-          # required numpy is not available on python 3.7, so exclude:
-          - python-version: 3.7
-            env: '-r requirements.txt .[test]'
       fail-fast: false
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
     - name: Install ${{ matrix.env }}
diff --git a/.github/workflows/requirements.yaml b/.github/workflows/requirements.yaml
index 2bcae12b..cb1d8b00 100644
--- a/.github/workflows/requirements.yaml
+++ b/.github/workflows/requirements.yaml
@@ -18,11 +18,11 @@ jobs:
     runs-on: ${{ matrix.os }}
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
-        python-version: "3.10"
+        python-version: "3.12"
     - name: Install notebook environment
       run: |
         python -m pip install --upgrade pip wheel
diff --git a/.readthedocs.yml b/.readthedocs.yml
index a75f7f27..13ab9fa4 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,9 +1,9 @@
 version: 2
 
 build:
-  os: "ubuntu-22.04"
+  os: "ubuntu-24.04"
   tools:
-    python: "3.7"
+    python: "3.12"
 
 python:
     install:
diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example_pvdaq4.ipynb
index 54ae0844..6538bfab 100644
--- a/docs/TrendAnalysis_example_pvdaq4.ipynb
+++ b/docs/TrendAnalysis_example_pvdaq4.ipynb
@@ -80,10 +80,11 @@
    "outputs": [],
    "source": [
     "# Import the example data\n",
-    "file_url = ('https://datahub.duramat.org/dataset/a49bb656-7b36-'\n",
-    "            '437a-8089-1870a40c2a7d/resource/5059bc22-640d-4dd4'\n",
-    "            '-b7b1-1e71da15be24/download/pvdaq_system_4_2010-2016'\n",
-    "            '_subset_soilsignal.csv')\n",
+    "file_url = ('https://datahub.duramat.org/dataset/'\n",
+    "            'a49bb656-7b36-437a-8089-1870a40c2a7d/'\n",
+    "            'resource/d2c3fcf4-4f5f-47ad-8743-fc29'\n",
+    "            'f1356835/download/pvdaq_system_4_2010'\n",
+    "            '-2016_subset_soil_signal.csv')\n",
     "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
     "\n",
     "try:\n",
@@ -140,7 +141,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -227,7 +228,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/Documents/GitHub/rdtools/rdtools/soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -283,8 +284,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-1.33\n",
-      "[-1.653 -0.954]\n"
+      "-1.158\n",
+      "[-1.807 -0.687]\n"
      ]
     }
    ],
@@ -330,7 +331,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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WugNOLGWkWc5iXzPXzVjqFZxaHNDLLFjDYl8zu5yxkmraSUAzDogUFNpgkFihKKxkdsXVzvXzUibM8TwrL7MRKaekgnShVcSqRUSgXK87zwT1n6vjYo2EbMnDm5mZYXZ2ds33b775Zq644ootD2qCCc41LnVyysWIjXqf9Ul4o9v731v1Rsb1l6vT8gvtjFK/gGZo0UZiTEkKKUsB8kKjrdOkBOhnmpV+ysogJ8s17UQwKCAQLrwphUXZAl0oFpZzrFBIAYG0tJUkUpaVzOXoDJKmKhhoSawsgyImUrCSFqwMcjqJQpuw8kJ9XrERCoQUVU2eE5weMndlJWVmkUKuOveLybPz2JKH98xnPpM/+ZM/YWFh4bT3vvWtb/Gnf/qnPOc5zznbsU0wwTnDpU5OORvs5FyaKifnegPSM2E9b6R+ruudt79P6rJeMPQ4fQ1dKJ0R8jm3NNcMcrOKtVgUBfPLfY6eWubE4oBQWuJQuX3kGcu9FCUscRQQxQG5hv6gQApLr1+wMtCcXOhzbLHA6pzuQLvyhDBm/0wTZOA8zTyjmzrjpkXoupabMiQrHUFGSOXYnUqt8kir61OyNL0XeLFjS0orR44c4XGPexzWWp797GfzJ3/yJ7zsZS9Da82HPvQhrrzySm688cYdX6Zwoav+J9g4ttsjO9P+LmcPcFQ5ZKddi42MZ6NjLrQZu93oeQOneXhV2UAp5iyFo/MXRUGmqdiLUJJGspyFlYxBbsjznOUBxEoTRDGdyHJyyXl60hqsr7/DYGWALTK0VWidkRvIjaYTRbTaTfa0AwoR0Q4NyIDlXkqgJHPLKYG0DDLDlbsbRIFkULhyhulmCDIYLh6kBGtAuFKHQDlfaFTObPRabvbeuNBz7pZCmldddRU33XQTv/Ebv8Hf/u3fYq3lL//yL+l0Orz0pS/lv//3/77jjd0EOxfjCna3O0l+ppDM+U7K7ySjMlpDtdMIChsZz1bG7M9bYNFmaNzq18KxE1f/738CJYmtJc0FEo02EoEzImmWM7+Sc2Kuj5SQZzlSBRglSZTh0KmCQX+ZrjYoDe1mXMoxFmgGKCuQSqO1624ggdwKksCJPkdBQZppMqNJ05RFrYilJrUR+2YUrWbDXQ+hnVyZFSSlYoozZK7GT6Cr8/V5vLW6HYzr3LDTsSUPbxQnT57EGMO+ffs2pLO5U3ChVxsTjIdfUWpjK2JAfRI+lwZhPXWMc4mdrBu5E4zxOG/Lj2ecEPNWe8vB8LvwBs/n4Pyx/WuWoV6wD2vm2pJnKceXcpRwhd6FNpxcyjBFRrefoY2kkwg6Ux0SZZjrGbrLy5zsDVDaEseKQChyrcm0xQJRoBAiYHczIM1tafQMUZTQabk6um4/RxvAFARhUIVKG3HITCsiDhW9zKCkqF4XDEssQiVIiyEDNQ7VuuUGleKKHcqNnQkXes7dknW6/vrr+dKXvlT9v2/fPg4cOFAZuxtvvJHrr79+e0Y4wWWH0YJdPxmdj1qfKlfD+a1F28mst51QRLxewbyxq3/g7MbsPDw38fuuBFUdXWlc01xXLXz8/wu9gt4g4/BCzmJ3wKETXe4+2ePwyWUWl/ucXOwjbGm8pKqYlKIYsJBZWsKi4giMABEQKIUFtM7RuqAdWqwIaMeWtDDMrfTo9lO63T7ziz2KdICiIFCu5EAFIUkcEYQRUgWoIKTdiGgmEc3YBfcGuRl2NRfSsT5L77bQjnm6Vrd0/1yuZ+x2Wj54SyHN97znPTztaU/jcY973Nj377jjDt773vdO1FYm2BKG4cbzP8FeKEmki5X1dr4wGm6se2RSnC7EvJ6HV39vNPRp7dCbMxZ0UZYRCEEUSLSBLHc1bwBZOmC+p8nSgWuiiiISOfNLBsiJI0l3kNIdaITIMTYgUAW9DAaZIZCWU72cGI0NEvY2I5Z6KYM8BQwNJSFqYI1mYANim3K8B0potJDk1jDQipmGBBkz3QxoxYpeDu0IrFAkYWmwtcsthkpgVLCqI7kPy1opScIaOUc46bB4jGs07p4dve47LRx+Vlqaa+HIkSM0Go1zsesJJjinuFwNz2bDluPCiOd6XK5/m3u9PoGOyzOtN9HWO4R7MeV6qNSF+SgLt8EYJ6pc9AecXM5Z6fXp9jMWuwOOLCyRWYPR0EkiGlGEEjCVNLBWkqaOhKIU5JklEzl2YNGmYNb2aEYhoc05oSUHGhK06zQupKAZJBQIAizdoqDoL3PLfMGBVshAK9qh64fXigRKKWbaEZ1EEYYhjdiglKIZSQoryxIFTV6SdMLAomTJehUuojG83oKoJLPUQ7kbweh1v1ALyLWwYYP3kY98hI985CPV/3/yJ3/CDTfccNp2CwsL3HDDDfzAD/zA9oxwggkuQ2w1b7bVz51pJT5u5V6FD8/h6n0zE6jPoY2GItfDUEFlWG5gEQTSGT2J4dTCIt87ssgdJ05grCSQgrDRZtDvc2hxkYXegKaAQkAjjrn3TING1EAJQa5zlgcFWg+Y7+UYnbE06LGQWva1Ina1W/RyQSgMJ0yDbt4jCQPyPCeXAkxO14QoW3C8lzNI+8yqDveaaRJECUVhCKKQTiN0heihIgoVlqAKNcYl01IJS1EUaCHQoSBQIWEgy/fKkG0ZytdlXk7Kzbc9qn8/O20BuWGDd/PNN/OBD3wAcCfxpS99iZtuumnVNkIIWq0WP/RDP8Qf/uEfbu9IJ5jgMsJWQ0Fb/dyZVuLjDM9oGHE9jBrMjRrmzUyguR6yBuv6lRK76hj1fY4WlHtjN8gtRZ4x18346q2H+LfDsywczVBtaIbwwAMaawydQDJQ0B1A2oN+I0UZTRIvkOc5i1nKyVNLLFkIc+gZWJp3pXLLyxnXHpBMJxFzfUMzW+TkYoZSDa6cSlBJg2UDsTT08oCQPlmYMB2F7N3VwgqFNa7PnZKCTEOjvA6RsoAqRaBd+QTC6WcinMJKYJyX5xvNhtJJp/lrCGLTBKqdZuBGseWO5+973/v4yZ/8yXMxpvOGC80YmmCCtXC+Pbxzvd9RFup2s1KtdcQRz+yNQ7WqUNofwzc8rb9mrMtvFdaplGSF4dRSn7uOznOiO+CWg3dzcK7g1AmYmYFOAnt3N9jdlKSZ5Y75HukS9HNoRDC1GwILi11Y6kK/ByaDBWAGyIFGG67cC1fvSzBCEWHoF5qFLCMSIVe0G7SbLUQxYMWG3GMqciosQcTuRsg9rthNI3KsS+/Zdhqha9hadknvNMLSWxNOHFqpqtZOCkiioCL31FGvTfT1eNsVwr7Qc+6WcnhrsXYmmGCC7cFWV8rnaoV9tvsd9dTGeZRbMap1Dy1QEimHFHnJcJI2ZnUZwbCJqUFbQZ47ea4VrVle6fMf3zvOv991kH6uKVYABfunQIawsgJ92+fYLIjQhXQzC522YzgunIK7TsBxIAIKHP0qxRm7aWDXFCRxSYoRFhmGCAqkFuTkFLqBwLCkQ1oR9E3I7qZChU3iyHlkg9wMpcKUJIkCtHHeqdYGqSyNEBACgVencTqagXSvb3St4TtEVIzpHezFrYctGbzl5WUWFha4+uqrq9eOHDnCH//xH5OmKc9//vN57GMfu22DnGCCCXY+6jWM3rvy3sBGJslCO3muQOJCbxs41qi2ZSiH+4JhXq/QhiiQVQ2dNoAnpeicU8up21+RcvuxLnfMn+LEskZb6EQwHcHxPphlOLUIS0CCM2h72yAUpArmZuFEAXeX44yBsNwuw024021oNaATB2TasNDLCYOUyEAcQT8DEWjS3LArFgxMQEMKoighbkQI4wSm26EhihOE0LSS0BkvYZG2QAhLJA2BVASBrMK81XVDEKxh7ZQUWG1KNqypys2qsPIYpuzFgi0ZvFe84hXccccdfPGLXwScm/r4xz+eQ4cOIaXkj/7oj/jEJz7BD//wD2/nWCeY4JLDWoXuWymAv9AF4t7IFbUAkChzaKPj8sYqN1StZ+p5wo0ey6MeZvMsTD+WwlDVlCk0gwKakSQ1hkzDYrfPwnKPEwtdTi4tcnh2njsPQ25gdwe0guOH4ODK0JDVsbcL+4GVRTgB9Gvvpbi8mgLuhTN+vdR5iUYXdFfAAHEMU23odiFpgDAhB6baCBUwY3IKBDrPELEiLzSR0hTa0hAWIV0HBCEEaQ4FAZ1EEMdOQFophRLuPip8+yIDStqx94nPZbqSBEtA6dmpYV7UX2chLi7DtyWD97nPfY5XvvKV1f/ve9/7OHLkCF/4whd48IMfzI/+6I/yu7/7uxODN8GGcaEn6wuF+sSs5JAUUlHnrSMW1A2Dx6hRrEthredNnatr7SfDQA7Pa1ytm3890z686HrEhUpUHt5ayir+77oXOXoeUoDBeXVYSyhdLbfWmvl+gcSwuOLCnZE0HDy+xKH5Zea6SxxZ7HL7XS4E2QpgbhmWluEuYHGN854tf9bCArAbaOE8Q5U7w9ZLIe1DlkGcuO+33YQ97SatRkgjCgkDxXIKwlqWMwMDSEKBRhEGFiucB2eQNANYSaEROKJKKC2U90Vh3TUOlFxVgzhuMQLuO6iXJNgagUXWrr37/i4ew7clgzc7O8s97nGP6v9/+Id/4MlPfjKPf/zjAfiZn/kZ3vjGN27PCCe4LLDTClQ3Cq+S75t3bhZ1I2E5nfFYz3WNXptRY+mNhFOoOd0wbrQYeKsGsS4YIBnvva7atqyB84QIKVxT1Hoj1aIWGjX1cyo9kPp51IkV1roO36LsBlcYHHEDzVK/oNDu7++eXGZ+ZZml/gpLaZ+leZhN4TA492wbIHHGzoc054CwByqAlWxoXOMI9sQRnSRmKo5LNqVr0TMoNNoWxJlEErK/YwkDhbQFhREIqxEyYldLsJIFtCJBEARVSDeUFm0EgRyShqy1aMvYRZKUkmjMwqP+Pfs2Qv56j1uU1VH/fi4UtiQtNjMzw7FjxwDo9/t89rOf5RnPeEb1fhAE9Hq9Te+32+3y27/921x33XXs3r0bIQTvec97TtvuZ3/2Z6u8QP3nAQ94wFZOZ4JziI1KC+0Eaa2tyCD58F0xwuPa6L78xC+lXBWW89fBt8MRYwgG/n8vweb35b29utYhrPa66r9HsZnQ4nqoJsM1ZNp8E9V6mNP/lmIoceXb1mBN1UTVmLIlT1HQT3P6ab6qJU8/c9v0BhnHF1P6g5ReVpI8Cs38qRN8+fbD3Hrwe3z77pPcdqzH0nHL7MnS2G0jDHAS5+kdKf/PDCxnkEQu3BkEMBiAEQqjBZmBbn9AVhSESpDEMVNJkzCMaTZjtHWtfSyCKAxWefityN1PwmpHNMFU19KUBs7/eKx1L6wn0ebfqxfvr3fPXGBbB2zRw3viE5/IO97xDh7wgAfwiU98gsFgwE/8xE9U7996662rPMCNYnZ2lje96U1cc801PPzhD+fTn/70mtvGccyf/dmfrXptenp608ec4Nxio57bTmB+bcXL9KGfYGTpWFfzWEttfj04I+G9vvHXZlSCza+4R8OIG6llq6/kt0sd40z7GfUU6oZYl56qyzUNi6GFKF8r85z93BeMm1XH9efUzzSDQcqxbk4zFiwt9zjZTbl7bpmiyPjeHNx5CHrAobM73XUxAI7ivqkAmAeaQJGBrxbIMljK+whlCPqg4watOCZuNNgVS7JcUxQarTVp5vJ2VggaZahSSlnqehbkxpAEEEchWeH68Y0TY98OlRynp3nme+ZCLmY9tmTw3vKWt/CMZzyD5z//+QC8/vWv58EPfjDg4uQf+MAHuO666za93yuvvJKjR49yxRVX8JWvfGVdtZYgCHjZy162leFPcB6xmcnzQufxtjLR+9DPThhL3ZAJOwy1CiHPaMBXGXu5PYuPtRYx4/JzvkB6WCS+mumppECUJJNQOsunLSg0vdwSCFdnZnEsTIQkzzMWlnt879gpuv2MqWbEcq/PocUuR4/0mV+GUytw69mf6obgTXJY/r2CK1kINQwWIBLQaMKehqDAspL1mVsRXNsU5EUM1mCRFEbSKnvbzTRKQhOWPM8pDCz3cxASa5z35xdjPmReD8MLsT0370YWrONq/s43tmTw7nvf+/Kd73yHm2++menpaa699trqvV6vx9vf/nYe/vCHb3q/cRxzxRVXbHh7rTUrKyuTovEdhFGjtRnPbbvzeJs1oNvpZSopEHa18v56Isaj753tWOoe4kauw3Z5deu18fEYFzIdJe34960xDAw0QlGdkynDxIGETAZ0Gm4usAiwpgzlFsz3NL1UM7uSsZINWOguMd8bcMchw8FFuOPsTnXTCACNY232gQ7O4FlgRsL0NLQ6Cm0F1hiMDFFhxFKqUAq0hlYzoBkHhIFECMOgkK4uTyhSbSrjN8g1SVnaEQaKrDBV7s6TUQojzslibSdjy+LRYRiONWqdTmdVePNcodfrMTU1Ra/XY9euXbz0pS/lLW95C+12e83PpGlKmg4z0UtLS+d8nJcbRo3WZozOdk26a42ljnPtTXqDNU7seK3xbeeYRskua41hbCiz1NFfbyynEWFKr0GUHppnYHqyySpCxMj3PGR2esJJSXQpVVGUEgxyO5ywtUFJU+lDGiRJKBFSsbzSZ6FvSPsrLKxkHDoxy2Bljvluxuwc9PvwtWVYPquruzUU5e8TuIk3xhm9XQ1oTMOeBjRlSCMImEmaBFHErkaIQLvtY8m+qZjdnYTC4HrbCZeTtLaUA5OSKAyQCpRyIc5AlR0SbFlmIEFbQbx+qSNw4aMu240tG7ylpSXe8Y538C//8i+cOHGCd77znTz2sY9lbm6O97znPTznOc/hvve973aOtcKVV17Jf/2v/5VHPepRGGP4xCc+wTve8Q6+/vWv8+lPf5ogGH9ab37zmyfs0XOMcZOZ/72hkMc2PlOjY1mvLcy5wnpG3LMHlbBoIzdcVgBnZofWr2Wden7afuyQYTfK4vTvjxtLRSQBokCS6yEjU9YOZCxVMfi4sfnxaTPMMRnrJmQpSuINhjgQwFC9Py2cSoqU0tH0jWG5u8Idx5bIBgMOLqxgjeZUr8+J5YxDR+G7S440cqGQ4HJ5nrW5W8GuGZhuwPfds40UiiSOsAbazQZXzDRRYUwcuPOOwoBmEpFEQdVw1iIJlNPRVFIQS9e4NTBOfcUX2yspHFtTOe8/CTaWuztfz8n5wpYM3qFDh3jKU57CwYMHud/97sctt9xCt9sFYPfu3bzzne/krrvu4o/+6I+2dbAeb37zm1f9/5KXvIT73//+/H//3//HBz/4QV7ykpeM/dyv//qv87rXva76f2lpaZVazARnj9Mms2322tbCuJXo6FjWI3KM7me7Op6vZ8R9iM6RMIavb+Ra1dmhZwpLrTcGKaiM3ejxR6/PWuHK+m8lXase79lupAO5sUPDmxWu87bE0i+sm7ClIlA4DUxrUUqQCMtKajG6oFcYTiwOOHxymZPzs9wyO0+eFSwvQ57B3SfhljNf0nOGGCcnJoC9OMO3Pxrqae6ejomDBCkyisIw00rY024gVOiKyyNFLF0JQZrlrARqFRs3zR17tZAKJSRxFBIGrn+fF9EeEkuGbN+1Qu11nK/n93xhSwbvv/yX/8Ly8jL//u//zv79+9m/f/+q95/73Ofy0Y9+dFsGuFG89rWv5Td/8ze54YYb1jR4cRwTx/F5HdfljvPFvtzISrT+8K41Lr+fcTml7YYfj6/B2wxjbi126GbhJ0LvrdUnQH/eozJefltHehBVGDNUw3MYZaZ61qqpdS6Qgopk4piZqyWr4gC0kRUDMC80mXb6k5mRYFxD0/nlPncfneOWo4e59WDKiROu1m2W1aonFwIJLme3G2gKaHWcwHRjGnZFEDZbBEIiJFgiWklCJ4nQBBitkUFIYaARSrSGfm5JioKVwjLICqSUtJOAOAoBqkVaoCSBkqvup/o9X2mMrhHmrgtFX2iiyXZiSwbvn//5n3nta1/Lgx70IE6dOnXa+/e5z304ePDgWQ9uM2g0GuzZs4e5ubnzetwJdgbqxmwtb+JMxtfaYd3cWoXgZ4O1CT2bP4iUklCcrie51XGMFnHXUQ9xelTjL/NqonbdhTWnece2NGb1kGddoSNQkkIbrDWk+VD30qn1u0L0NNcMcsPxXoa0BSfmB+R5ymJvhe+dmOeuYyl3nnCqKNmmr+j2I6IkDVEWl3dg715QISSRohFH7G833OJKSSIE7SREiYB2IuinliR0hB2AQVbQCAW5DgiUa/XjFxLTiSO7eNSNVN2A1RcZa/UL9B43cE57HV4IbMng9ft99u3bt+b7y8vnPyW8vLzM7OzsuuOa4NLFRlev68HY4QQtt3lV69VDpKAicWy1R9xa+9vIGLyBhNVyZeuFrkZrtqwdXmNbfsbn9KRw4/Kegff0nHF0E//QuFoK37+uvB4+N2WMWZXTCyQsdXscOTUgTbssZYKVlXm+c3KBI3dabuu5OrcxtvmCIcOdb6P8rULn3e1rREzN7GIqksRhk9wWKBQISyNMaEWwkglasQQh6GeavNAURqCSyOXolCQsr20YKIRUNNSwFZCxgLEEanWzXvc9rpYKg9PJS5vpdXgxYUsG70EPehD/+q//ukpPs47/+3//L4985CPPamBrYTAYkOc5nU5n1eu/8zu/g7V2S/V/E+w8nE2rmLVWr2fap5/Yz4UafD3P5Ukco2HYzRAExu0P1j/HUTJKZcjWCfHC6e/VPULnpQ1DlGlRMietoE4CHJZpDD0MjcAYTWGduLP3Gi2CXmbIC9ffLhv0ODqXcuzUCZYKQGsaseIr35vnmwfhzvUv1QVDjJtg9+IWFlFQfl+NhP2tFlPNGBkE9AcZEoGSllwbFvsw00zppQGCAQaFxBDGcSUNFgaKZhxUudxKrUcIjHGLCW1BClOxXv3CZlzkYrVBPD0kfalgSwbvV37lV3j5y1/Owx72MF74whcCjjX23e9+lze+8Y3827/9Gx/60Ie2NKC3v/3tLCwscOSI41P94z/+I4cOOQ2EV7/61czPz/PIRz6Sl770pZWU2Cc/+Uk+9rGPcd11152XkogJzj22wg7znxldvW50nxspJdgqvCcWSlYZiLpXtZGwLKwOvXrZsY2cY91TU5wdGaHOdK0f2+t4Bur078BaS1F6gT7/WCesBMppPWJBC8ugyDk+3+PWQ8c41lvh6PEVZAy6B1kKt53cucYOXHF5BHRimIlBRtAbQD/NWMpyZhqSNFNEgaLVSjAWlrsDAmHpZZYkFgwyg5SOyTsduTCmlE4A2iJoRLL6Tr0xU1Jgq1q7oWe+Xi7uUiOnrIUtdTwH+G//7b/xhje8oWqi6HstSSn53d/9XX7t135tSwO69tprueuuu8a+d8cddzAzM8OrX/1qvvjFL3LkyBG01tz3vvflp37qp/jVX/1VwjDc8LEudPfdCdbGKCNwXLfltUKCazEsN+o17oTao7oIsoc/99Fu4Rsp9vbYSOfqzYZW/bb1UgXfebveycEbtrzQztMpjaIXdkZIdJHTzcBkPW49tMgdJ0/x9dtPcPg4nMgcpb+Hq2XbqfBC0Un5930bsGsv7Jl27XmarSb7mw1aScuxMYViph2Qa+j1BhRGMygsu5oRQgZESUwrEoRRTDuWNGLXRSEJJUqp6nvyncpFvY4SQ2Fl1Saojgtxn1/oOXfLBg/g7rvv5kMf+hDf/e53Mcbwfd/3fTzvec/jPve5z3aO8ZzhQl/8CTaG+kRaZ42NTvz17ce9vhMM2UZRNxD+dPy5j57Hmc63vgAwljUZeN4Y5oVTLQlLjUYvQl33EsYtLHyhuIf/rJKuMN1/pp/psgGpq+ErjJuYs8JwdL6PzlO+d2yJO08c4Zt3rXD7ETiIq2Hb6QiBNq6zeQfYA9z3PrB/ShI1pmjbHBHEZMaypxGRNNrsacVYK8gKCxgKq2gEhsyE3Gt/TLuZVKHjZhyQRAFhWZpQF26ut5Ty97cvPdDGlXiM9g30OF9MzAs952658Bzgmmuu4bWvfe12jWWCCcZirST6WmGYtV7fSph0KzhTOHIjRrcurOwH7s9no7WO/nxdsbYrLg/k6hBqfVxZYUolE8ekdBOoe80Y54HFZcFyPQzp2ZaVZ2HM0EhaTTeTxMoShiHaWEJl6GUGXWhWBqWxNJrZpQGHj81zcGGZhaVTfOtwzpHjcNumv4ELhxznge7GGb6rD7jWP/2BwZolciOZ3hXTDgAVEgoIAsUg1RTG0E4CZtohSwPY31I0GwnTrbgSwvYLhdFFn/9uhaPLlqFjpzs6KCjzqkDtu7K1hdTlgrMyeOBu7sXFxbFtUHbv3n22u59ggrF1Xf719bsIbF8XgM14h3XDOtpgc7NGd61zHx3PuH35860387SM3189HycxFBqcuImq3vc5N6+MIqwmNa7fXBiokiQB/cJWx861K3zuZYbYuuaraW5Is4JcW7TWLK0MODHX5cTiHLefPMXsomXxFBxZgdvPfIl2HLx44T2nIG5DXjIju1qQRAGDNKOPYL/KiVotlIQkiWhJy0wrIokjplsaVMRUQ1VamEI4Yo+2wulyjnjexjoG7FBz1N0bSTj09Dx8bg92frRjO7Elg5fnOW95y1v48z//cw4ePOhWf2OgtT6rwZ0vnEVUd4IdinoftUrPUW69CH4zhqpuWEc/N2p0z2RI18pTriVDNt4Qiqpmb5yx9yQYgS1DpopYSrQxBLhcWxyoSivTMVgF2rq8faadWDO4iTSUTt9SCmiG0MuHRldrSz8zdAcFRZ4xO7/CnbOnuPPESe48apmdh2Xjisa7m/mCdhD2A/eOnZJKKGBQAAV0Ek0TBQqmo5CBlEgpaDVimklEP7fEkaCwEoEgwjDX1UT9jCgMKsMmMfQzqoVGnV0Mq0PW4O6DKFiteHMu6kwvBmzJ4L3yla/kve99L49//ON57nOfe9H3oRtlm02ws7ERb8uz//zfo3qOG92Px5m8w7U8Lu/h1Usd6iEkP8Z6EfZ6rMvRe3VcWNK/XpeVGvUC6+QVa0tiCS5nJ3CU9lAJlHJGzbkOBb3clR1EYUAcCHqZkwLznbOFsGWhtUVrgxGOmaqNKGv0Crq9lJNzSxw6Ncdtx+c4cjzjxJwjpRxlKLJ8MeI+wL13wZ790A6F8+5yi1K48GSnQ1MphJREQUgjidjTiemmxoV/ewXaCrIso5daolChAkWn1WBfJ6QZB6Vo9rBXILgFiO8rWDd09ftp9T16mbVJKLElg/eBD3yAn/7pnx7bjfxixOW2yrnYsRFvy5UBuMk3kOMN2uh+zqZdz1pjOlOpwyi9f9z7o0Xeno3nisblqs/Wf4tSFDpUw9frRJfVxnFYtxgGihCq3J0reoYsLyo6fBxapFREyvWoi5UzkrpkbaeFrZT5LQIlnEmdWx5w15FZvnrnIb5zKGX2pOsGnuHkwC5mHADufwVMz8CuZkSoIloRLA8sSysrdNMBban4vnvdA6VCkkbMdDMgjGISm5NpWOznSAlpJim0pjCWtrLEgauziwJZXd84WE0iGi03WasOc1yo/XLBlgxes9nk8Y9//HaP5YLhcvrCdwrOhjG5kVycEG6CKMu6NrSfrZJa6nVxaxEA1hpznZwy6gmOlf2SJd1fnC4c7fOUUHYLH2Hv+WLvQNoq/6O1RltBIzQEQVB9PitMpXzSz1wZgbCGVAuSwBlLi1Pg1wZyIYhDBYVmJbWkaUqmXZ4PIcnygtm5ZQ7OLXP7iWPccbjge7NOBuxihoLqHmsCWQGxBEHIVBTQLyAKcro5xEpAIFBBSLsRkCQhjRBW+inpoM9yzxLJAm0lcWBpJwHTrZh2EhCEIUkZplBKEYuSIDRyT43z5CtGbS0UXnZvWqW2czlgSwbvpS99KR/96Ef5xV/8xe0ezwSXCc4UylsPGxWkPpNh3K7ODp4c4Pe5kc4Na41lnCc46uWNE46uJjYhCMoTCOWwqFsKyLWb3IaEBVnKk1mWBoaphgFkFRr1Nba+bi4JIA6Gk6UxhkHumo6iFFprFlYyiqJgcSUlNwJduO7bc3OL3HTwEHcfSzl+DO42cLoK78WHpPw9BewCOm0okHRiycog58TyCktdMBqiRDDTbCAQpAWY/oC5BYMn4saRIreKZhJU5JVOI6zUZ0YZsfVSExgfqfB5bF+W4D4jVoW0teGSVVYZxZYM3v/4H/+D66+/nh//8R/n+uuv5+qrrz6tqBHgUY961FkPcIJLE2cK5W0HNiIWXTdMW+3s4PvaeZWRrXqKcGa1Ffd/qUtZ2/e43J4Qrs2ON1CRgqJkVSJceExiWOhbQqHpZZJWZMtedKXwcSVHJTBOo6pqzqpLgko/t0QKBlpQFAUnljKWF7sspQUrvR6agu8dO8mtd1tml+B77Axx5+3ASvl7BpABrMw7Oa9TYoW4FZEGMJAw3YFr93RoRzHLgz6qDz1twBqCIGJXM3Yha+k85SAIaCdBLWJgEVB6/7askxx+x2tFKrzmqhK2YmraWp7vcuMvbMngpWmKMYaPf/zjfPzjHz/t/cptvkhYmpczzkcx9noejw/lXYg86tkYpjo8DdzPHVv1FOvhJ2PFKibmOOZnoU1VlyVrBeg+LEppmLziiUFgrUFbUGVLHisUUwl004BYucaroRLkZUPRKHAq/UXh6uYQsgrfJqFkULgxLfUy+rml1+vRXc44udJnOR1wanmFk0td7r4bvtOD+a1f5h0NDYQRiAZ0MyiMwZwYcHgO9rZg1+6QfXGT1AhWVvpIC2EQoIKA3a2Ifbta7n4RrmN5p+HUVOokFC/LlhuIArEqF+fvGWFNVV9XL0uB4XM37HQB4gI9excKWzJ4119/PX//93/PS17yEh73uMdd9CzNixHbZai2a9Lf6jG26lVtBzbLvNyIlBls7pzGdWH3vfjq4xzH/DQlebIoJ0BReoVpYcsJ0P3vW/i4sKYvPYBBbivvtB1LDE6CyhvwuueaF5p+mlf76ueW3a0AJSX9TLO4kmGM4djsCvO9FeaWl5jv9zh0vODuI/DNrX1FFwWmcQoriYKiD6lxxec2hKldzggemG5jVIDOM3qFpRMq9rQbJHFEqxHSiEN37WVIM4RmHLjFjHCC0uDvkdp9hi3VWRyUhEGuEcItWqyQSGEprKiIW3XG8mafvYtJqWgtbMngffKTn+TVr341//N//s/tHs8EG8R2GaqteiM77Riw+Qdys8zLtf5fS6x6I+NbxZyrrcgtq8NOstY41Y9bIFbl8qSATJdGrPT+lLCurUxpGAWWvDDklH8bQSAMfRPQji1KBa7Ral7Qz7QzdtqNWykF1rEyA5mz2HPECqwhz1IOza6wtLLM7Moyd5xY4a7vwdfOeFUuXjRxiir3jMGo8vuLXF5PGJAWRAD32ytoJC2aUUKoAtpCMZ2E7NvToRGHFNqQG4GUgukkqBYalISfVV3jjWMea2OxYsikrXvyQjrPMBCgy9AnuPumLl6+WZyPxfG5xpYM3tTUFPe97323eywTbALbZUTOh4d1vry4rTyQ63lxo9d4XIlA/f0zGdxx5II6u7NeKO6xXm8/KSWRHPaR82M05ed97i0OBMYKAgxp4cqThRAUxqIkpIUgxLDUN8SBppcWrKQuHeE7Z7ciQS+19FJNJxKs5IKG0Bw71eP43Aonl5c4tbTEqZU+R47BXXPw3Y19BRctNK4bwiCHhoRTA2gVYAPYtwvutb/Bnqlp9rVbtOKQKI4JpJNYayYRu5qK1CiKPCMIJa3QeecBBblxi5W4VEkRDJvqFsaFpG15j2alEICru3PeeVViosS2eWXna+F6LrElg/cLv/AL/PVf/zW/+Iu/OJasMsG5x4UMBa6HCxn22MoDua4XJ9fuAzfu/Uq8VzjW22jIczT0OcruHIU3iD6XZ+3ahtSHL40xbkIUIKSsQlneIwyk08qMlECFjrUXKVhJNVlh6GdDr1JgKfIMYwJMkdPNBKYoONkHq3O6QrHUXeGOU3N859A8J0/AXX1XPH65YBFIDKz0XVjTZrB3D7QSkFHIVNzgnvtn2NVp0MtLpmsU0ooVy30XIlZxzHQzpJsakkCQF9KFrY2h0O77cJ67r78USKGq8HJQLnpCJSsmJoy/R88GO3XO2Qy23AD2Ix/5CI961KN4+ctfviZL83nPe95ZD3CCiwsXMuyxlQdynBe3ntHcjFGt5+Sk8OolNU/SDCewOnmnHu4cklZWy4hV0mlaV90GnCSVRUkJZThTG7DWVMXmUkqSMkForKO4R4GklxnH3rSWRqRoRk7oebEHg7Tg5FyPotS+DAJFL9Nk6TJ3npzlP77T47tLcPfmLv1Fj7T88eUVAtcdYUZDHIdcOz3FrulpGrFTSFHKGaek7GEXKsGggFbk6hljZcnyooouSCmr1klau2LzJJRIOdQ3rRZDCMe6Ldu0Xeye2LnClgzei1/84urvX/3VXx27zYSlufOxXd7Ydgk0bxfGndda5zpqJNcSnh5XT3eanJgUq1hv/looUSOSGCffBVQF5K5fnPtM3aj5XI7EoI1cxbYz1nmU3dRUx2nFopKbCpUgK9wkiTUopQhquaCsMOTaVn3rklBiCWlGkiRyBejL/ZxI5cwupswvLjPb62GLjGYzwaQZt8zOcecd8OXexdG651zD4jokNKfg2plporDJVFPSiFS1eNGlBy4wBEqitHZEFOvypxiNKD0343sJGl3mYYdC0XW2pbXD+spInnnhdymQT7aKLRm8f/mXf9nucVzS2Kk32Fa9sdHzWS8MuNl9bQfGnddWznUVoWSMFNPoPoelFsOaJyVFGZZy9VBCgBDDeihX0yarfFt9oeDZkoV2htFYJxfmVVKsdfVvXtqrMNAIZdUR25EZ3NgiVY7XGtfpAFeb5cKbYJBMN1xDUa+8H4eKQEK/l3JieZFvn5in0DAdw/wifP3Q5efVrYdrgYddCY+41y5mpqaZaicIFWIRVU4UwFJULZQ8fM9Ahaaf2qrW0QqFsBqpAqSUNOOAKJBl+NwVk0ecLkSwHi4F8slWsSWD95SnPGW7x3FJY6feYFv1xkbPZ9x+zkTpX2tfm8W4/Y4bz1bOdbT2zXcG8I0319rnqKF0pAP3YjBCCc+1l6Y6vRlrlZMrjynLhqpOHWVIKElqqhkVocHaMpdnq15qXpZMSSe7ppSosS6dx1gYXY1xkOYcmR8wt7zALSfmOXgHHMoc5X5h45fxksMVuFDmAu672wM8aAZ+4P4Nrj5wBXump4hDSRyFJJFy979x4cpAwnzfqdcMCphuhkwpWbb/sWXo2pJr58vHkZPHU0q6hrwSR2yR7vuX5T0TbdDYwfB+HpWxuxxw1v3wJjgzdkKYbxy2moQePZ9x+/GTvpdCWqudzVrXZjQPsZYXOM5gjhvPRs911ICu6nZQOyffdqjeQXq4E2dEvOcksKUXBla4iUsIUYkr65ItWSel+BBYYep5PFciMNRFrJ2bLx/Qmsx3TSi1L+NAgHAmNw5KhZYyNJYVrotBoZ1MmDOwjua+uJJycnae75xYYvYYfC1zDU4vZ0jA4CbOA8C9GvDA+4Y89tqrkEGTqaZippPQjmV1PXXh1FTSzLKUCqzW9DOLKFs2CatZHliSAKLQhZPjQBApQRAIAqkQUhEFkrz0ztMCmpGlzujdKM4kaH4pY0MG76lPfSpSSj75yU8SBAE/8iM/csbPCCH41Kc+ddYDvBRwKbCb6tjI+XhD5lHvw1V/SNfaV91gVl4Wp297psXEZkOma7E2vZSTNqtLBTCna4Fq6wyQtq7INy3DTZmGOPS1dm5/Th1j9WKgXq7gdTOFD4mWhteftwsjA6WXVxSaQW5Kj0HQimVZiOyYo1Eg0dZ5doUpWwBJwcpA0+/3OTw3AGsQpuDQfJfvHLybW26HL1zmSTqFK0NQOKPfAq6IXL7unp0my5nkylZApxkipWQlF1gDqYbFlZRWA4Q1NKOQolDEobundrVCMl0Sl4BGpHA+uqiIK/WFVYjzDL1AwNlgpy7EzyU2ZPB8aMXDGHPGyWPSVPXyxmldAMoaofXuinHkFxj+Pa6n3WaLx88EKYbtd0QptOvHVAnuWlPLtw09Mh++9O+H5QG9kRptU7SWvJq/XuBa9djClGxLWzayHY7Fy4rl2hnJ3iBjaWBIAmglYSkPJgkDF1ob5MNcUlTW5xnjCs3vOrrAXfPL2KLHfG/Awdk+3/oefOfMl+2SQ4uhTmaC63NncC2MujjvTmvY3QJEwP52SJRE5AaUBUXBUj9zNY7KIlVAMwxoxCHYEKWUY+kiaakCK0NakSAKg1Vtm/zzUv0tJEl48dTg7jRsyOB9+tOfXvf/CSZYC+tpZq5FfnFh0NKgjMgh+XyYNzhnWnitt4pdi4XpPadcW+JQVpOCZzZaC3Eoqx5yfh/1HnO+w3RexkGFcGr3fhw+xDtuPFiDLuWgoFbCgC9hEKVkmMv+pVnOUr8o5aQUjUigraCVhAipyAtNWhSu04EZHtuHLue7KaeW+hyaX+Q7R49y7CTMn4Cbcbmqyw17cZ6cN3gh0Ard31nuis0V0NdwqgupHTA93SIMXffxQBj6haSZRLRVQKwszUSRhJIwDCv2rTGiDFMHLucXSgxDFi9Q5Yp9aQucvWLK5Ywt5fD+9V//lQc+8IHs27dv7Puzs7PcfPPN/NAP/dBZDW6CC4NzwZxcL883Sn6pv19nfa4iZsjVXttGyw7WO77HqJH03pQxTsPEK1mM5vlGoxo+9+cYdKUgtFndqqdu6J1xdPm0QElnnMp9+fBVYUBKJwKd5trJUpVGdVDATEOynIoqTygFlRE2xjEvvd7iSi9jdmnAibkVFlcWuf3IUb5xs+tRtzT+kl0WmAVioIMzbPcGmi2wOQQ59HE/PSCZg+MLK1ijkTKmEQoKK9nTlqS5JgoDdrVCkjiqvisphDNuxrE3/WLQ4EpPssJ564GSFWNWYMg1ZSPYMqpQljgE0oU+JzgztmTwnvrUp/KXf/mX/ORP/uTY9z/1qU/xkz/5k5M6vIsU54tVuhb5Za0OCt54KOGS9fX3tzLmtdilPudV17I0tsyniKExGT22EIIoELV9O0OYhLIkn5TizhoiZcm1JFRD79AYU4UmRZkYVNK16HEGE9ewtdzWlt6fxKCtpRVJVBAwpYa5T98VwRvfNNcsdvss9nLmF1c4Or/A3XPzHJ5Nue0g3LrRL+8SRMzQo01xbMx7BNDa48gqQQPSAKIl950lBqZ2w65Gm4KAVhKirWBPQxIEAS1jQEhEWQxesXWtJfdGTbo8LngNVceg1caWLZnK+6PMIdfzduU65rRGwBOsjS0ZvDPl59I0nUiOXcTYSJnBRrHe59byvtZ63delMUaseStjXsvrHJX7coQZJ9o7mocbp4cJQ3aqKrePvcEyjilZmGGDVvc5Z1CFMdU5BBIojag2LgSZ5mCtLo9XliZEgRuDkBjrism9+PBiHwLhwp/WGI7MLvLdowvMryzT7Q04vLjM3XfDTb1Lp0fdRtEuf0/h8nIhQ4OngCtiiGKQEpIYwgT2hbCrCXECexowMzXD91+5l32d0PWvEy5fp4RFW0uaF0gkSoZgDf3c9RAMAgVYAuUMWzMaqqRYAaLsd+jv3UCWkQIxZGaOawR8JuzUmuDzhQ0bvLvvvps777yz+v+WW27hX//1X0/bbmFhgXe+853c61732pYBTnD+MU5NZK2ygjNhI57XRh/C9fJx9dCi7yyw3rE32uqn2h5H38+1RRpdhQuLWh1Tfex+rEMv0RnrqqhbjrQUKoOXrkmrKFmZIIUmL/N6g8JNboPClRp4A+s8RMfMjJTruB1IQW+g6acFvbSgnQTkec5tRxa57egR7jo5oLcERxYvP68uwhm53cDeAHqugoM+rpFrE0dKiVtlu58VCAVcNRPQmkmIopj9nTbNKKbdStjVSZhqJSjp+ggGwpIZ9/0ZYxkUEAZmyK4s7zPnsTkWbd1zq6upeIz2XAQq8fDN4HxFb3YqhN0gnfKNb3wjb3zjGzfEzlRK8c53vpPrr79+WwZ5rrC0tMT09DSLi4tMTU1d6OFsG7ZzFTfsDjAkkmx0nxWrkZFWNyP7GFWc2Ow5jBplf0v7/8fVyvmwYGEouwkMx+aNkjdGvhzAG7d6bi5SQK22bty4x13D+rUYPYbrc2YqtqgvaYiUm+TiQFQte/wq3+fzXNjVHWe5l7LUy5hf7JPlGScWF7jl4AluuxuODlyu7nJCDOwCDkjYuxuUgpUU0j6kqROC1sABAe1paJcuoAxgb1ty/ysPEKiE/VMNds+0mGoEFAQEwoUuc21phIIgCIjKsHJaWOe9leSVVDux7igMqvslLzS59jqZsrpvRoUI6s/SVp/r7drPVnGh59wNe3gvetGLeMhDHoK1lhe96EW85jWv4Qd/8AdXbSOEoNVq8YhHPIIDBw5s+2An2Bjqq7hxklibQd1T2eznR8ODa7W6Gee5jVuJruWVjWM8us8LBN7g2FXnIAWkJdnDd/ced+yqYwFDwyhLJQxvbKJg9LjDcddDnqPbWOu6V0vhi4ltNVEW2pDlBRaBFi50aawgCSRRqECYqgBelmoqaa6JAhcSK6xEFzlHZpc5MnuSO+ZOcfAozJ5yHt3lFL5McCHKfeXfnY57PY4g68Ny6gxdB5hpgIzhHgdgqpEwlQg0Ec1I0YgT9k212berxe5OgtEFi/2CXlFUKZy+lbSlQAQBgRKoss4xCQW5kcSB8+y18R4elbhApiGR1BZsq+9zGJKczhSxWAsuEuH+vhy9vA0bvPvf//488IEPBODd7343P/RDP8S9733vczawCbaOugE52xDG2dTqjBqytUKS444xbtvR9jtmtR2pNcqkOnEvseUngroaS6iG9WulWS6PN+z0baHyyqR0Mk9ufLqU5Fod6h0dd93o171Dl8/z3cd9fsYwyN2YnfizdC1fSs/Oe3G+bMEaDTgpqiiQWCMcIUYUpKnmzmNdjhw/xhdvW+DmE3Boa1/jRQuvhjJT/l/gDN6gB2EMfeNeixNoCMfEnGnBVAv2z0yzu9WglcTkWtCMQmbaCdPtBGMM/TSnl7nvQcgApWRJWnLtebqDAm0s082QKHBKKbH0YepSpq5w906kqMpQfHQBTlcp8hgX0t/Mc75eauBSx4YN3p49e7juuut41rOexTOf+cw1SxImuPCoT+x1D+98ob7arHtO6xnP0RXqZtRcRr1PX/MGrojc1y9hDVkhKhp3oCS2ZDHqcj+W4Qq72rcdTlLVtRSSKBhuW9clrJ9zfXLxecZcu7EU2mJtGSbGlRX4jzohaIEoQ5gGSWjL8GVhSUJBL3cGNy80RVFwajmlyDNOLfaYXVrm7tnjfPsOyzcXHdX+csIUZfgyAhmCLsBo6LQgt5AHECTQtpA0oRHCPXcpgqRFO1IEgWChn5Fry1QUEQUtGnGAlSHWGhb6hkAYlJS0YkUcqmpBpouclVwQK8ugCGklomzEKoiFk53zix4BhEoR12rv/DM7ivWiLJsxYpdjwbnHhg3e7/zO7/Cxj32MV77ylWRZxqMf/Wie9axn8axnPYtHP/rR53KMFwyXAqPpfN7coyFGv0LdyPXbyApV1VzWKj93hnOrEzt8vVphIBTDHJhFEAgXtvTGz1pbGUFvwOoh2VFjmxeGXDuGZRyqVaHc0SaxfnXva+TqjV59IY+UEllS2oVw5QW6DH0KCk4tWyJRsFgIsrzg5Kkl7ppbYm55mWOnFvnOnXBXBifXvzyXHNo4MkqMm9yKAqZbkLRc2DLPnDdnNMgCrtgLV3baqDh2QtxBQG4sB0/NsdAv2NdKiPftY3eoyI0gwbXvaSgIgohGpEiiAGNdHlWUi5JO4vKurUis8ua1FWUImlW1kr67Rn2x58tzNpJOuJyN2GawYdKKR7/f54YbbuDjH/84H/vYx7j77ru54ooruO666/jxH/9xnv70p9PxQfIdjjMlUMeRKSZYG6PkjHoo5kzXb6OLi81+J3X2pV+B+x5w/r3Rujprhx0JPOlldF/1DuYCyyA31aQWl4ob47b1TV+11qt60jn9zZL5qU01ATbjgEKvLjDupQXdfubCZnnK8VPLfPvoCY7NL3FyFm6Zg8NnvDKXBgSunGAPLk/XwBk712EAmm2Xs4si91qUQFsFFEazklraDcX+Tof9nTbH5+c5PL/C/DwsL4NRsGc3/OAD93Pl3gNMt0KSJGGqEVRSbTA0SMaUCjnCoFE0Q1dMDsPOFnXSSBTIVbltv69xuBQW33ARkVY8Go0Gz372s3n2s58NwDe/+U3+6Z/+iY9//OO85CUvQQjBk5/8ZJ75zGfyrGc9iwc84AHbPujzhcs51r0VjHo99QLyM7HDNrpCXe87GTcp+LnEqbO4HJwQji7uDVShXRG3Nyi+8Hz0OH6MXmXeK754EWZwv/2K3Xu7SkKmHUnBGEM/twjrmnqGSpQ6tQJHe5DVQiEKXD1drl3Ycik3NEJBXmhWBjndlT7H5ha57fhJ7j7S4+hJOJZfHsZuFy43FwJtAY3EKdfI0LEq8wLygXutEcLejiDXkpnEaVie7FpOzkG/qZHFAsdPLvCdu+G21BnGELh2Cg7sD0mSDkIGZahcOj3LKKhaNWljiULXzQBAG0mjXFTVY5MuFC6qhVBe3hMbmWfONhc/gcOmPbz1sLi4yCc/+Uk+9rGP8YlPfIKTJ0/ye7/3e/zar/3adh1iW3GhVxvnE2utEM/XytEzCmF1mHA7MI6tOc4rq+dF6h5ooU31v//cemEkr4gisGXokcqL8+Oo64F6j64ww5zfSqqJAzeBeoML0E6CYclE6elhDSuZxRpNbgSmyJhdHDC72OXm732PG78NX7dO3PhSRwe4j4SpdlmTVoAR0GzCgT0wlUQsFEVZkS2YDmNm2gkUgl7eY25QMOhruitw9LgLXx/YBafmHXu1Vx7nGuCx3wdPut+VHNizh6lOi0BJdncSQiVIooC80M4zF5YwUNViz0cPvJceKFkZQ38v+vITLzK+kdKbC1lOsF240HPutvbDm56e5kUvehEvetGLAPjyl7+8nbuf4CwwboVojKmaSSLlpleOmzGWUjh2pf97OzGa4PceZb2OzYqyzaoYhhWdRyfAOg9MCad3CTiiyholHRZP7a57ka4DtV/x+0lMScizgm7qisKVFI50ErimnoGSYA3LqaEZUmko5kazktmq23U7Niz0DP3eCncem+fowjIn5k5x483wje29nDsWHRzrclcZolSBM1gI16Zn33SLdrNFZzAgLwpCCZkuWFruUZic2a7rI9dbgpXMfTZQ0C9ggAuHauDBAh76QPjBB34/V1+xi+lmiEbRjkAGoWuqW2ZTAyVLRRxX/zjsbWiQZTg8LBnFVai/lAnzjE1jQdj1dTEv93KC7cJZG7xut8v8/PxYubEf+IEfONvdT7BNGBc28XT9wkByBiW49cKFG3kA68zJM+13o8cfPbd6cbun+kNZtB1Q5ViUsCglVwkzK+nMlxCr9znu/ETZUVyWRs+HL7GGvChzecI1fu1mrtM1FnLt8nthMKSeu+4HiljlpAUoWZDEEZkGaQtmlzNmGjkDY1lY6nHz3ce55dhxDh/msmBfSpyRa+EUUAJcSUGYuHKCfe0IayS72zGxFCRKkTRDTi5aZtMeswsaEYA0LtzZiiCOodGDu3vu3lA9uGYKrm7ArjY84l57+b6r9hM3WkSB61weR2G1iPFEIy8JJ4Rw4s7GNW1VSpEXw/swK0wVFQiVIAwUsuxgro1Fa9fDUAoopKQRjffgJimWs8eWDN5gMOCNb3wj73rXuzh16tSa203Eo3cOxuXIXOG0IFZbY1FuxwPoJ4XcDLsHeNSN3HrGtX5udQJAUGpVeq1BW2pw+rXZaG5RlqFWU3u/noOsh6NWy3rZKqwppURKJ/W1kjlhZ/e6IAmdR1evy/Nhy1w7r6GfW5TSCKtZGhhMkXHnCUu3u8i3Dh/jP27rc3gJvrf1S77jsQ/HthzgCChNYP80LrFm3G8FHGgEXDE1xe5GRCpClns95rpdbj+xTD+FbheSxBFXWjHsbjcJpZP+ulX32dOGIoLdbbjmqhnuu6vNFfv2sn86IYkjd+8oWTVhdQIEglBaetmwDZSSgkFuh90vauFo7+WnBUghyI0gKBdJXiwgzV0/wsJKdrcCjFWb0pidYOPYksH7pV/6Jd773vfy3Oc+lx/8wR9k165d2z2uCbaAzebjNqPFN864bccDKAXklZyWXdXduW7kxh1/VV1cuV29l5xUahjaNMaFLMuciW+xUuhh5ssbu6EBHuYafXhUa11pYEaBa+FTz8VI4ejp/UwTSFdQ3IxkZWy9Moo3nv3cYrSb9IQQNBJJWliMAZ2n3HVimVOLc9x8dI5bboPbuHR71M0A1+JsWlb+RMDV0yDa0G44qv50SxBIRRzHrBSGdGWAtinLy12OpxmD1IUpW6Wx2zeTMBUYBjYi1QNU1OL+V0bMT/dQQtCKY+5/xT6mp1rs29WhnQSu8F9DM5LEzpJhy8VWPy8XKtY1dy10aeAKjUFWeTtHhHLfeyui9PQ0WW6r/S+vDJjvaUJpmWkn1ecnODfYksH78Ic/zM///M/zzne+c7vHM8FZ4Fwyuc7V6tIzIl0j7tIQ2NNVS8Ydv36+Hp7eb2vbFJVNE1UfPVErnfBGzxksURnges+6+jFlGcqyCAqtSQtLHABCIcrCYpezVEw3HJkhKwxGWwJpWcmHTWwDYVjoFeRZhkYRByFJkPHdo0vcdewkdxw7yjfvMHxnCU5s/+XfEVDAA8HlMCOIrSOi7AmgmUDchMi6nNv+BMIoIS8sC4MUlRkCCYGVrGjNtLDQgmkBSSLZFUcYFTPf76GCnABFoxmzrznDffeDCptcMQVBY4pmCFOtqOxFaIlCRzZRUlRtqbLCYnTByiBHSokJA6xQKClYSR2zNnerIBqhC2967x/hBL4L4/K9UkCqBY3IbZNEAc1IbmixOsHWsCWDJ4TgUY961HaPZYKzxGYp+zsF3uh5Z8uP/0xG1ocT/d8WURIHSqKKLwsQw84E3jjWSSk+/+d0MU8nFCgxVFxRoaw8SOGvN4Z+BlhHArJGg5C0Y+c+rwxyjHV98ZyCvvM4QyXo5U4/czGHQucMBgOWezkHT5zg3249wfcOwbfP0XXfCdiLy89NNZxnt2sawtC15VEWkK6soJu77+yUhZnc0AgVVktiJWhHChHGTJsIKxQHioyFfkpW5Mz3BkSxZKYR0Ug67GkE7OpMsWuqQTOJCAJX59hKwirkjJAEypb6mEMhb98hfpC7G1VKdy80QkGmBbubThwaKYhCWZGS/D0qcPm6fpo7+bhAMR1b+lox05A0G+GOezYvNWzJ4P3ET/wEN9xwA6985Su3ezwTnAXWMxBn4/1tp7Fca19rkVrWQ525ZqEMGTq2qWUovutX2Y7iv7pcwLPohHBGzHdQqJh41mLM0GAKqfD8Ht/AM83dZNZNbVWaEAcul7OSWdJsKC4shff+fLGyZpAVFNmAxW5Bt7/E7bNzfP2WHl9dcn3aLiUE5c9+XErOizZ3djn25XQzQduCZqAYaIOxBiUCpE6ZHbiO4yookDJifytBypBGqAilQBvIdc6KSAi1xUQJgbAcaHeYbsTs7TRJkoi9002acYCSTvMykJAXuowMGMJADPO+1tJPcxb7uuxjF1SdyIOSeCKlpBUIhAiIcfuql6D4e883ddXWGUiDJQgiZlpqVSH7BOcOGzJ4c3Nzq/7/zd/8TV70ohfxile8gle+8pVcc801Yxu+7t69e1OD6Xa7/P7v/z5f+tKXuPHGG5mfn+fd7343P/uzP3vatt/+9rd57Wtfy+c+9zmiKOJZz3oWf/iHfzjR+FwDdW9oVIV9LUN2tr3wxuXYNrOvcbVHo/usa1lmhUBiMMiqUWs9/+dlm6r/sSBEJQXmV+9SuA7TPn+Xa+NCmIJVRlmbkglqDb1Mk2UZhZUkAUiZUJSceU9f9zk8n9/rF4a0gEFWsLA84I6Tc3zrzlm+dxC+yereZxc7Wji2ZQPHmE1CECG0Iwia0FBw5UxCJ2wilGC2m7KSdZmfgyjRRLhOBtqACBWBEkRBSCRdSNFgCcMQbaEVQqgzkAEzScBVB3Zz5e4WRkaVELcrLXH1dOCK+63RLGeadqwJkqhiMKdFWYQgXD7Wf5c+L+ufnbo8mCojAPVOB1V3C+uawgpraYbBKmLVdmInR3UuFDZk8Pbu3XvaBbPW8rWvfY13vetda35usyzN2dlZ3vSmN3HNNdfw8Ic/nE9/+tNjtzt06BA/9EM/xPT0NL/3e79Ht9vlD/7gD/jGN77BjTfeSBRFmzru5YBxdTxn8vrG1bdtBnUCSF1iyxudjXy+ovyzukNCFZqsJhv3f25cHsXiWHHjRLTr+6jf1trYSgQ6CcUwZCmGxqde3+fLE7LCMMgNvdQgS/moMLIEwhAGAWGiEAL6ma40M9MCer0+c8spB48f49tHT3LLd+BrxaXVuicCrsYZOoOj/Xc6jqg0lbh6ur2dgAGKVtJEW5fDKrIei4swtwBSQTOC2EAzhkGqScKAThyjhGB2pUeuCw5MTzHTTAhkiJ3q0GlGiCDmmr0JzdKAwfD7d+2YnOFqhJbZZdfhYMkYgiCoZOVasSJQkkYoiKNwlZSYk6CzQ499hGDlnwFtLHme0+1rstywZ6rU7ozDsbV3a7XC2ozxOpc5/YsVGzJ4v/Vbv3VeVghXXnklR48e5YorruArX/nKmnV8v/d7v8fKygo33XQT11xzDQCPfexjefrTn8573vMeXvGKV5zzse5EnOmhGM3xnamsoB7224gSxOgD6h90VYabwAk0B7Vt1lOPqHJ5pRFSctgk1Xtw1eeFHYYia4op9XHVPbt6h2lT5vM8jTwqQ5yeOl6NxRqW+4a80K68AEcr7/azssWQy8fFqlzsSVFKTAX0UjeZWqMxxjC/uMyth05x9/wpvn1nn4MnL73O4/txXQs6lN3EWzAzDfv2RszEgiCeYk8zYn5lQG9xgVtPzLE3CWjEDbpGkDQgiCAIobCwpyWIhGRmqs0V7YhABQzyjJXcEiCQIuKqvW1UEKKLnIUVw5VTAoR0tW/CkZoi4eTdFAWD3LXnKURAEkq6GUjhDFmgXNulJAoIg+HqzxsQL0Dg/PhaHzuGnTekgEFZerDQK8g0hEqSG8F0UxGs4dqNGqutGK9J3d7p2JDBe8Mb3nCOh+EQxzFXXHHFGbf70Ic+xI//+I9Xxg7gaU97Gve///35u7/7u8vW4J3poRjN8a2X89vsirIetvGhnGFoxxFB6h3D/UM8jkTij+n0JCVZSbOs1zV5D47qMy4HOFx1D0Oa/rPVw1+u3I2xFMbVyg2MI7wghqFH3ytPSddINi+cN9dPC6e5ad0kNsgKWknI3qkEoUIUmuWBrgxmI1IMssJNfoMBR+b6fPN7d/H17y3xnROu8/ilIgsW4ib/K3FF4x3hjNWuBrSbsHca9jcbhFHI3kZIP9fML55ibuBq7jIboAvLgXZML7fMtAYoYnY3JINCYIRhl3J9/8I8Y5BqphohkQjYPdVk/642YaDopobdU5owiplK3Hfaz1x940KpelMYdx/1c0uMIQ4VSVRKzClRhS2lFBhb1ksW2n33ZXNhL0CgpKzuMR/FcPlcdw+6yIOr0WzFiplWQBCsPf2OpiC2YrxGn2+fn15LzeVywIZJKzfccANPeMITaLVa53I8Z8Thw4c5ceIEj3nMY05777GPfSwf+9jH1vxsmqak6bCKaWlp6ZyM8UJhO1d0o8bzTCGWeqiwjqHnJqqWPN5jE9hVXlzFjGR1o9Z6fVx9v3X493LtDFSuLQG2qstzx3L7CeWwIwJAVopAaytIgiGZpCjlxqz1DAZfbOwm0Pmu8+7AMTAbcVipbATKQnltlvs5C92UwWDAweOzfOG7R/jGd+G7wKUizdDG6U9mOOMdAVPSSX4JCft2w0wnYW8rRosEJQqOrWRoa0i1QIUgjWWmERBISRgkHJiJiFVQNk8VLGaaPE1ZNILdSqJFSLsZsauVMN1JHBkliUhCiZQaawRKDY2HsJq5nutjl6Jcw1XhDIqSgkYUOOalGWpgjuaK3fMgKi3M1YtCWz4XFmOcNxeVx08CSIKoVNoZElTG5bnrEYh6mPRs4ctzCsOG628vNWzY4D3jGc8gCAIe9rCH8eQnP7n62YhHtp04evQo4MKfo7jyyiuZm5sjTVPiOD7t/Te/+c288Y1vPOdjvFDYzlq5UeNZz8f5TgL+dSWGx16vh9dotwFH5qgn/G1lkOrwJQGebOP3VX/PmGF/O8rVtTNqbrxe93I0j1P/TCSH+TljfFjU99JzNVQY7eTDhOtQ7j3AJJRYo1nKLLHICaWgyHOW04Ijs11OdvvMLi5y03fm+dTJS8fQgcvR7VXQbMCgDz0Nu1uwZxeETZiJIQgSGspwZGmRiBXiSJFbhQCksuyNG3SUZbo9RZ4XBEGAkgorFEkQYKxkJpGctHDPECIVoFTIdDti11SL/dMJKghdNwkjiENY6luktWhraUSgUXRiy6BszuqjB6bslFEvIfACCP4ZUFJgSsFw35E+zV3NJYoqZJq7dU7VzHdQOI8uCoNVYXZvVEdz0jDswuExut1Wn/Gg7OyxFkHmciC5bNjg/dmf/Rlf+MIX+NznPsfb3vY23va2tyGE4N73vvcqA3iu2wH1+32AsQYtSZJqm3Hv//qv/zqve93rqv+Xlpa4+uqrz9FILy6MW2nWb3wpHNFgNCE/uvLciNGt5+HqhsggCD27slYegJBVKLLuIVaMOAHWuhAluBwclF6epKqfcpOFZVAyKZWUKFw41JUgQFHOLN4rVcJ5gl4UemGAo8BbyIzLDYWBwiJY6BsKXTCXGzqJYjkTzM/3+fJ37+C7JwacOAj/waVj7K7C1dG5ImvnKU+1YU8EUzNwxVRCJ1Gs6ACp+xxZLsgKiBNDOzNonQOGWEh2t5o0ZMSeRotukGFyTWYk06FCqohYWaQMuXcjIkoSZloRoRLM913eNC0srcBicR3iV7TLzXnWLWW9XKFC2g33fWeFIdMZxlr3+QRMeT/5HK6xjp3rSV9C+BZAZc4Xt4DL8qIKvSspSAIXMWioYQTEo268xi0sAznMA1bPH/asPb0zKStdDiSXDRu866+/nuuvvx5wbMovfOELfPazn+ULX/gCf/M3f8Nf/MVfIIRgz549PPGJT+QHf/AHef3rX7/tA240GgCrQpMeg8Fg1TajiON4rCG8mLHR0oIzrdrGrTTrN77Pw9X3tdWHwtW0lUbPa03WSCWSMcLPpddY9xDr4VYPn3+DYS4FLJl2/w+0JQocSzKJ6r3r3Oo9kMPu1FI4DURjDLooWO4XxMJgrERiKIoCazRRWZLTDOH4wJJIzanFASdmF/jm4UN89msZtxtY3trl2lGYxi1RduFydK0pkAUkM9AuIOlAaKHTDNnTTEhNQGgHzPYNgTGs9CAvDHEC09MdMgOhEIRBwj2mGgRRRDtRrGQGJSGQiumpmKlGQDdz32GrEbO/E7DQN0w3NBoXYswKU7VrCpVARspN8oETChdCEkh383iCURJKMu3qJjPtjY2o+iRq40KysrrP3L01KCy6KFjqF+6+UdKFXsuQZRyuLtOqe3V1Izf6HLm/T3+wzoeO5uVActlS4fnevXt5znOew3Oe8xzAGZ8vf/nLfP7zn+cjH/kI//AP/8A//uM/nhOD50OZPrRZx9GjR9m9e/clZ9TWw5lWZWfKxXmMW2nWb/w6o5J1DKvPP6zlKfpjeW/Rh298yNSvqANZ5uOE6w3n8oZUZADvIVpLRVKp08U9Qcafs1M/ETRLxp8X+B0aPFbV7gljSI2r68u1pZu6McggohMrFldSBkU5OSoF1tDPDSE5i90Bh2eX+cbBg3zp6wX/seVvd2fhnrh6ugJHTmlJmGm6MoN2LFnKDJEEFUg6geRQt08iLUsrGcSCKIA9+xSBkMw0m7SDEKRFILmq02Bq2jEsjYWWdb3mJIbpdsPVNir3Pcw0JEYEtKKcpYEkloY4cPdXqFz7JRd+FzQjF+LEmipcHZV9CAWWlhAk5QLHi43LUq3HGbgy5G5d+N0JETimbi91IU1jBaF1AtWwOmQ4tpZVbt54nY9w4+UgTn3W7YFuv/12Pv/5z/O5z32Oz3/+89xyyy1IKXnIQx6yHeM7Dfe4xz3Yt28fX/nKV05778Ybb+QRj3jEOTnuTsVGSgvqbK+1DKQQYlXYZJQUMsqoXEvXMte2KtL2D+a4YwWyXkZAOT43wVhr0Zaqr5wzoGKV9ycFVRjSn2N9yHLkeEKqquGqNJa8sAyyAnDn6ouRvffYy5wxTMtwqCOZl0oquqCf6bLI3SlxpBn00oLjs6f49vE5Dh1e5t8POwbmxY5dwPcpCNoQSxhkTvqrHcEVeyUdaTiVG5TjCCGtZUXDdDOksBFNMSAJImgKrmpHLBeCXY2YXc0mjUZElmuCQFW5sSSUJFFMVhiWB9otcKyi0wzY1QaD6z2Xoeg0VMmqdN+vv7d6mfuucuPb8EiyvMBYKDCEKqxaSDmGr6v/s8aQVzk0X1ju7l/f9DcvtAuXC0NSzqBTDYUKQtfoVQwtXj1iUpUt2M0brcsh3Hg+sCmDp7Xmpptu4vOf/3z1c+LECTqdDo973ON40YtexBOf+EQe//jH0+l0ztWYef7zn8973/teDh48WOXgPvWpT3Hrrbfy2te+9pwddydirVXZWv3rRg1gnXE5TgXFe3a+aaoL9Z1+wLrhtbXXPDXfmCHjUghRhTW1FSO5QlF5beA8wDjwZQjD/RXGVqt0vxrXFrworz+OZ9JFanh8gEKIqiShMJJmZAmkqNq19PoDVnJBKxIkcUS74drFKDRHF3OEzl1Nl3K5wqWFRe6YXeDz/3GCW+fg7u37ii8IBK5NTwcn7oyFTuA6FhRNmOrATCukETc4utxjcVAQKOf5NaOYpjREMmRXaCFu0Wk1mEkCVoqQezQEKmqwbyrCIDlxaonlvmZ3S9CIQ+JQMdMM6KaGUOX0ctjdVgjpWvX4hqsdZSq2JMJpVwrhJb/c4sl1rKgtkHDems/R5YV2RKlSIswbPW1cmJNV+TdbhU6NFYRBwFQSVTJj4xaf/jUfajcWMHZTMnq+phVOX4hOsDls2OA99alP5ctf/jL9fp973/vePPGJT+S3f/u3edKTnsRDHvKQbXOz3/72t7OwsMCRI0cA+Md//EcOHToEwKtf/Wqmp6f5jd/4DT7wgQ/w1Kc+lV/+5V+uJMke+tCH8nM/93PbMo6LHWslxtdTXPGoU7F9LZopuxDIMexLGBpeKeRpxzLWEUf8xwLlDFFWkkoqZqdwk5QUvpfdUOfSGGfQvFH2x9RmGGH1Pci8sQukez8KROUBejUVIRxTbyVzKh5SunGnhet1tpS6iTK2pTehLQrNwsAgbcF839KKBXlh6XaX+epdh/jazT0+u7LNX+QFwF7gnhJmdoMpQAuXn+y0IGop7tVuYoxgkPVZWl4hHGikBathpgO7pzoE2tBsNbBWcs2uDnEjJgwUSTqgnyv2tgKaSeQWNlKRRBLNcHJPC0srVgyUYrplQQYVkxJ8Ts3VtQ3vNVGWtwyFBxCOCFUYQRLaynPX2pWdFNoMy1jUMErgDWTgF0jlveU70geBJFKuRMWPucocjyw2h4vHYU4QNpdfH2UnT7A1CDuuVfkYSCkJgoAXv/jFPO95z+OJT3wiBw4c2PYBXXvttdx11/hA0B133MG1114LwLe+9S1e97rXrdLSfOtb37qpMS0tLTE9Pc3i4iJTU1PbMfwdg/Uepo3KFvkHfLVG4JlVV/wx6p6hMaYiA8ShWpWz8/v2xgpWr2Qr4d266gmn1/8Z47oVSEFZ5CvBuhxcXrg+dv51gWUldYXIuXG5veV+zlw3Q2CJA1F1Rze4Gaqwkqy3xOF5Q2CWKUTMykqXbx8+wue/dfF3NdiFy9M1O7C7CVHivLvUQDuGHNibgIoTYqUYFBYwpAamQoVQAY1A0E6aWJ1REJIEMNWa5h57m0gBp5Y1YWBdXq7sPJEO+mgZs6cpCKO46kDQiMPTwuv+Hiy0YSXVSAFx6EgifoGmta4WalEgq8/49+tNfgdZgcVpZEZhgDFOJk7guhlEZUIuzXV1f4ZKDHsuSlkrZXGkGW8U/eLM399+OylWl0CMbjeKS6lc4ELPuRv28D784Q9XYcyXvvSl5HleeXpPetKTeOITn8hDH/rQsx7QnXfeuaHtHvzgB/PJT37yrI93sWO97gNrhTq98bBiqIQyblspnJfjGYt1Oa61jlsPjxo77E8HZZjSDA1oUbHWXKjJ07FHozayzAn6sfgQkTtPF35z/0qiYGgYfU5QGyclFUg3EUXStf8JJKSFJAoEvdwwt1Kw2Ne0IjfZYp3+ZZbn9FJNrAyHT/UpdM7xlR7F4BTfuL3LV07Cann1iwu7ccoobQHtvTDdgqt2xdggoJFEKCyZEfS6XXIp6QQh+6Y7pEXGXK9gfyyIgoRQBQQKpIoYpJBrQRQEzLQjhAoptKbVcN5WJ1Fk2pUNxHHCgZlGxWx00QBnUMYVaXvD5ZVMPIMy17Za4BTaoLUmLRTtWBKooGr/ZEsRhMJAI1KVd+jIVF4fVVev+VCnlI64opRc1TGjInOVqEdI/HuhEtV7/t6tL9bgzApJXkXIG9pLyRCeL2zYw6sjTVNuvPFGvvCFL/D5z3+eL3zhC8zNzTE9Pc3jHve4ygD+6I/+6LkY87bhQq82zoSN3ND1h22cfuTo57y35Fer/metY/r9++39arQeWhz1xoDKsxPY6uFcJdVVC9HUxzDK9sQO8zSjBl2KYa5vlBXqOxlEimoCFELQLlkG/UyjtSbLC9JckxWGNE1Z6FuUMDTisCLHCCEoioKT8z0OnTjOt47Nc/Ru+GYGF7NWz25cLd1ME6b2wHQH2nFMHIRMtxs0rWUp12BywjAks5Y0zUGF3GumTRLG9AYDciS7mxHNRoM002hr6KUDCquYaURcubdDGIYIk7OcCTqxYKqVOG3S1NKJBXEc04pVpXTiv2vvYdWNXGFAWM2gcE1Wo7LjgBfyNsaJBGSFkwuLAlcvaY3z5n1j1rpB8veM9+R0mSMOlHSeqFkd6RhVAPIs36qNVOnR1WXuxkUv/LltxHD5Oj9/XcY9+zsdF3rO3ZLBG4dbbrmFz33uc7z73e/mi1/8YjVJ7GRc6It/Jmzkhh4Xnhz3kNW39x7euBDl6DH9/ldJdMnTwzWj4xk1iH51Wn/dvzfaYsX/lmJYOGzsMF8yLkzkySngVtN1Q+gnJj8hZYVb/XdTNzkudvssDQy2SEmSBKMLNIpAuAlTCcvcUp+b7zrMTbfP862jFzcpZQr4PqDZgjhxubnpKUEkFI0kZioOiKMGuS4Y5JpeUbC74ToTDLShEUiSuMXeVkyvsEgErTig2Upoxc5j6vYGpIVgpilpNRuESlQLCG0FU42gUidxHeMFCFczVydWeZauJ5eAuw+qgnJcSNNHIFbdZyWZJVKAcKoq/nkIlKwWZUCVx/PPh1clcTJlq4vN/fY+8rFe6mC0QfHZeGOjWpgXo4d3oefcsypLqLM2fVnCiRMnAMb2x5tgcxjH+hrFaDiyTlIZlejy249jiK1VRzeUA5OVdBiMlw5bpdYiVmsAutVuKcdV5sR8Pq0eqhEM6d+OBUnlqTmjZv3ASs7dULHF1Ag2kXKCva7NpnQ085L8YnTB/EqBwrXrWVzJyAuD1YY4div7prIs9Az9Xp+lQcGxUye58bZ5vnj84vXq2sAVwL33QqMJUQMCA0kCxkAUB1zRmSIrMrqFoRh0yVQMtiA3EXEcsa8RglTMJCFCBkzFjuXaSBTTzZBOw7Es20ng2u8EknYS0C8ErdD1KvTlA+Am7qmGWNUwNVASTwHJtEWVxseHOd096cQElHB9EF1ubVjy4khWsupkL3HGs/LIjGGQFZWxjUMF1jX7DSUIqWgGvvSlXECWPE8fhh8lpYxirWdtsxg+V671VX3/kxKFzWFTBm95ebkKY37uc5/jxhtvpN/vY62l0+nw+Mc/vpIYe/zjH3+uxnzZYCs3tBSrJbpGMW5VWPcKGeMVVvu1qw3d6L7qzNDR4tq6ckoYDFfG1tiyUapTNfGsTPAST5JAlflAH1ZlGE7yE4r38LRn0wlnUItSx8uTZnSRc6qbk+c5hXE5on2dgCMLBXHoDGArUSwPNIP+gG8ePMhdc11uvxW+A/Q293XsCETA/YEDB2BPA0zsFkMzrRaNAKwMWFzukgOZzimkQBWaBQ3TwiKCiHYS0lIhnWaDMFA0m7FTKSmMI/3Eipl2Uhbhu9ChEC5HZpBMJQJbCjYXhkpMAKhKS0I5ZNIqMVzwWFyJgC3LDLJCDz08MWTgFqa8d4WsQp++TCUv1VRkacCyYpjrA0kYlIt0Yat2P/WSGQslQ9me9hyca9QlzrbDgF7O2LDBe+QjH8k3v/lNN3FYy1VXXcWznvWsysA9/OEPv2xbTuwUbCTEUSX9SxFoUfPEjIVArNap9FhVmF6uvr2RNLj3PD27roriwzChtBRWEkrhxSsqz86z20IlKMr/La4AWUlJoYf5GyvcdtY6Q+kZb6ZUwhjmf8rQk7CkhVPGcCzBlG4/Iy0snaRUSNGK/dOSQR5QaMPs0oCFxS63HjvOZ77c5Wbj+rldjLgCuE8M++4B18wEZEahTUFhDLuaCU1pmB/kLA40e5QgQ3GPZsCdSymtQGKkoJMkJEFMp9lgeqrJTCtCqrJ/XD8jN4J22XNZYuimuioRcHqSohJPTguLEI6b7xsCL6fOGBVWIspFi/fYLBJh3fZhGZLOtXb3lBKEgYskGetk6gpd1l6W4ceiFgIf5N67LIvRlSDXgjgYFpj7koGqfhRW1dj5RZcnmIxq0I7r77gdoUdfZ6qkPStDezGGQbcTGzZ4aZpy/fXXVwbu3ve+97kc1wRbwCoPa4172THRhkl6IXzhrvMK19tH/T2/L28kfWsfr4ri950XXitT0ogU1g7r9LLCUBg37flidCGckoYUzhtMpDuY9+ACDLmWlYfglF2GyvOe6RkqiZSCVAvSvKCXFmR5wXI/p5/mZdG6Y9+1Y0ePj0zGwsIK3zp0mO/ctcx3jjiv7mJEC7gWOLALGm1oSJgbFLQjaDZaRMoiwwhDgQgknaRPhqItQYUJ02HBSRNhiwwh2zRCRafTZHcnoRm7NjqRAmNc6DIoWyYV1pE8DK4kJPRlIJ6cJAy5dgYxUs7CJIEh05YksBRalKFNZ3kC5TQufVgzVG4RI4VbRHnjE8rhfY2QCOHuLScobssFlEVbSaTc/RgGilaNgOIX7M4orK7pNNZWtXiy7JkIqxeQddZlXY1oI8/leqh3bdjqPjzOdiwXOzZs8G6++eZzOY4JtgFr5fxGV3VeBLqi7zMMY66nyj66fx86da8NmWrGehbo8PgWVpEEEK6eyRgXbqoXnUfKGUMhXGH3UP3F0k0tSugynCkrpqYPhfoCcnB5Q6+ZaYyhlxau7q6wxEGZA1LWNfjMMw4eOckX7zjE179V8NWLtCPrHuABbdgzDTYALIQhmACyHOIQ9kURUhSkaU6W9cgsYAUzkcCqEG0NcRQzg0A2Eu4x0yGJQ2baCdPNEIQzaAZLpxlj+powoPS6C5SwxKEgUGH1nXjyiVKKqu+p8LlWRVM5gomo1X36iEGkXEmKz98FQUBLufddI15/77l6S20FgTBIITD4+768362h0FTqKD5fXS+5qcp2rK1ydYVxxfCqLGdQstbbsfZMjP72f58pF+8xzgOrP7P+umzVS9vMWC5FbMjg9Xo9ms3mlg5wNp+dYHNYK+c3uqrz21lLjeU4lFZaLwl/urJ7aSRreUNbGjvPrPTsPE9M8OMJlCQKBUpqepkhUhqUIgpcYXphSmMWONJJrkGiWewbWpGomobZkmzgKe1Yw+LAVCr2jUhRaEOoBMu5ZFdb0s8tNndeny5y7jg6yz9/+Qg3zcP8Nn0f5xPfD7QlHNgHu3dBMxH0UstA48gXQtIOLXEQ0UlCCkKEFqzogkhCVGgyGzi1EQSdZoOpRsJMJyaKE2YakjAKnNESPnRnAFV1FC8MrvdFmfNyYWhDHLpu8d64xIGowuHaiop9a0pJr0AYMiNrcnCu7s3aUgrMuNVIULKIXY868NJf4M47CQVKqoqt6UOs1gwZyjA0rD4M7/bgQuT+mRClcU4LiAJb5gu9GotdxZ4cxWZy8Wt5YPV9VKU/W/DSLneiy4YM3tVXX80v//Iv8wu/8AtjG6+Ow+HDh3nnO9/JO97xDmZnZ89qkBOcHeqrutPKGMow4tl0QR59iNxENjxGIB1JoNIEFBJrhxONnywGBTSEIdeiKifwuUGBJZSWXuH0LX3Y07f2KQqzqt7PJ/qFKAuUyzxhKzJIFRDKjGNzA04uLnLH8eN85Rs5X9rZVTRj0QDuBdzrgFNFCRLoFSBSJywQKkujEbE7biKDiFYUkFsBJifLDY0IBoUgjgOaYQhWEEcx+3e3EELQasQEwlBYSa4tjagM/ZULDFkyIYUQxMLSzxxLSJah6bzQFJkr+k+iwHl1gURKMyx3qZFUlIRMOzm3fg5taTDGGVOs605Qabn63nTW5WzTwn3XaeGEnVdSSzOS1ThdGLz8aK1ovbACwdCAeEamtdSMqbuX48BHFNy4vHF3ZKrTsVlvbCMe2OXupZ0NNmTw/s//+T+84Q1v4E1vehNPetKTeNrTnsajHvUo7n3ve7Nr1y6stczPz3PHHXfwla98hRtuuIEvfvGL3O9+9+Md73jHuT6HCc6A0dVhnbRypi7IHpt5cN2K2P3tFqMuJGnKiSVUEhgyQ0MlyKwglGXpgrIIKVFCYGtCv0JQhiIVDVmy7IqiJDtocuO8OmE1qRY0AkteBBUjz59HmuV0l1f47tHjfP4bc3x7Hk5vNrVzMY2rpWsCnRhmWhA3IC/cjwV6BsLY0o5D9renmEqaKOlEt7XWZEiktIRBg04SIKVAyYB2HLFnpkkcx8w0JKlRFEXhwsdSEoeqDDGbVao4PnfWbqghWUkbtHbhPylcSFsJF8b2HpUUTsFEGypPKQmgnw/vTWoMXE+I8sQlXYa6Bz4sLhUN6UoVsC5s3SzDn6LkX/rwqrWO0CQF5eIACj2snbP4hsPDGtdMO2KOlgES52X6UH29obHHZnNm6ykk1Z+/y9lLOxtsuPDcGMM//MM/8J73vIdPfOITZFk2tg4riiKe8YxncP311/Oc5zxnRzM3L3QR5PmGL4StJ+M3qtBQL0j3nhUM2Wj1IltfsO4NqRCCQVZUtXZRGFTjKUpVemOH9Xc+51M/rj/mIDeripi7/YxCu8nVNfp0heUCt22kYKWf0k0NgTD004L5bo/vHDrMF76W8tUN3f07B/uB+7Rg7y5XNK4EpDk0E2jFEqlCQiFdXs5Y4jDkQCehFTeQSqJRhMLSHaR005zpRsS+Tofd0wlWKJqRJEkSphrB8FqWvekakauvM8iqi7yHVyXxOpd1D8R79/5+q9+Ddc1Tr13qC81taZyAis0bBqrWnNeuUjep5/5W+im9HKYSSSOJXYi8NJih8qxNs4ohbCwuB1jec3GoqnPyKizgjhOHq0Olfp6re1/+udjIQvFM250vVZVzzeK80HPuhkkrUkqe+9zn8tznPpc0Tbnpppu45ZZbOHXqFAB79uzhAQ94AI9+9KMvqwasOxnj6uTcpDOU5too6g+y89aG+w+VeyCH+oayLM6tMetKSrp/bp2yBSX1XNQILkOCQV3aS0pXEp+EJaHFGvLCdR0fFNCKBFI5VRQJLPQ0RVGwMoD+oGAwyFnq91nsLXHTrbP82yE4ue1X/NxhCjgAXNWBfVdAI4apIESrgMBqkCH7p9tMBYqFTJMOVuhbmEkShAwZ5BpdaPY0BEnUoBlF7Cm9l3Y7cQorzajq1h2HqmLCejarRTAoXHcJawV56Tk7hmNt8ePD5FqDkFWIe5CbqujcWMdkrCTijKhyeh5e8cSTS6yw1aLJhyP9/eeEwUUlKadRNGLXSkGVG/rwpLUup+kWZsM8njZDqbr6gtBHLHxzWV/GgGcXl/d0naU5mi8/E87kCdYXmba27XYbpkudxbklpZU4jnniE5/IE5/4xO0ezwSbxKjc0Kr3Rm7eitYsN180W6/D82oT2q5+yN1DCV4Mwj+QfhLybDivhuJX577wGIZ6iJ5k4vphu+LmUFqEVCXrU1JYkCogsAYrJI1QsNTXDDINpijFqjVWF8wuLfGduw/y2W/DrWdzwc8z9gL3DaEzBUkTrAErQRiIG00SJcmFpCEFkVIs5c4zEWqaaWlJDWALMgJm4phGo8M99jbcggWBNRorFFlhXFNbKStvra9d3zYlnEeWFoZQCjItq8Jsa10YOgpq3p4cCg14uLKAoW6qKksKPMvW59R81/GiXARpK1C4cOPASLe4qhWESzG8740x9NPcGWGbkxUBiRJAULUVMuWCyucOpYAwkGUBuos2aOOLz2utqBjew67sQYx9nsaxnDfiNZ0pL3d6mmD493Yapks9P3jWHc8nOLc408PiJ5ZxpJPRm3fIzlwthLtR+AfNM9g8NdsZMjBlUp9yMlAMPUGXc1nNjCtKNqdlqCZh/ArdOBJDHMBKVm4rLKGyrrwAt0+Ma94jrWGxJ1gZ5Cz33aQXCs3ySs7xU8f4l2+e4ovHYWET1/5CIgbuAeyP4IqrXDmBkZDnrjYtiSOSIHQ6kbmmpyEreiAUuq+JQkWUxEzHIYgEISzNKGHfdFi13TFIFJp+IarQnrYujOkXJt6LUUrSqNVEFtq4nFWZYy20odvPkNLV4UWBIi+NRKAkUUApBeaap3rD58koRfldSynd9ymGwgb+PnUsSUeAqS/ufLi0MKWHKARGRrRChWFYb1o3ki5XLFaFZVWZx6yUTWrfhw+b5qVKjCnzfu4Zc4tBz+ZUI8auLtCwUQb0KCrCF8OQ5rkwTJd6fnBi8HY4zhRiWI90Mu7hq+dP1nsAx2EtAwq1cAvDppng1SjcpBCHw3xfoZ2avWdjes/RWlfIboUjO2Cd9mVeWJCWrFBo7dh6zcjV6fVz5yFEgavBGwxSFpd7zK2scGrxFJ/6Ss5/bPw0LziuxOXqVAiq4dirzQZ0mhENY9FBQFspmnGI0RotXSf2rLBEymCkZKbZIIkSlFQ0QglSMdWKiKPQeb5C0ogk1gqSSFA2kcCUHrfRBb3chYoDFVTkI++lB1B6g6bKrVprCUvD1lBD5qKn70cBZCUT1hsUH8703ryHlJK4VsdZaBfC1qakhdQMmH82lLDVcxBKSEuj7IlP9XpTJdw9FFa6m2JYk1cOI6w9HP6W9oosbkHgPTx//68Oh/rzrEKvY57RceLv4xa4Ph0Bw9+XsmE6V5gYvB2OM4UYpJQbLifwuTf/97gHcD2sZUC9RJiSAqmGO/WvS1F2qvaTkxRo43aUFpaoLDq2lqo5bCzdhIQ1BEFApgtyA5EyZMaiMCz3cga5QRc5mZHsbjp3cWWQ870Tx/js11f4Wh+yzZ3mBUOIKzG43z3cpJ4XkA+c5767mXD1zDQpAdLmLAwylgcDQgGhDADFdCtGqJg9zRBDQCOO2NVWaBGCdfm4QQEtRamS4iS8kkhVEl1DGS5DqCy5ESRiyO6lDOkF0lXheaMQlQzHUmOlppjiVUJsJTFXhSRxJSihtAhfJ+dD32UOV5V5u6wwZHnhit6VoFWOtxJPsG5cjVgO5ezUsL34sNZuaNxcyNSNzZUalN6a9zJHHjp//ztj5F7z0Y3RnLOqvb+etu3ognatBe5WQ42Xu5TYKCYGb4djO0MM1eq1loz32OyD4UM1vsu4quTFDEV5rEE+zJOs2nfJlNNGuklVW4Q1FNrtR0pZtoMRaKMrhl2oXP1dM5b005zuoMAaTW+gaTUEp5YzlpZ73HL3nfzDV3Nu357Lds7RAmaAAwr27oaZKWfk5pZBRa4h60yzSWYVodQspgXdXuokwUJFs5HQihS7W22ajZBOKyEKJEkUVJqT/rtCuNKCZhysnqCl8+zykjUbSMlKZomVo+J7L92Foa0rAREW7W8VIWmU/ezAh7KHhmFITFKEZUlKUXZCyI0gKY0NrCZAZcbXzFGyNl3DXq/VWbUcqiW2nHF2BjgOff5LVCFzv0izCNdXz8jS03MdE6RYrQfrz8ezNT1W62UKpHDv1Y1SPfftw55u+/HdSdYybFudBy51EspmMTF4lwjWC43AeFHb+mc3kmeo79M/rFlhygfaseQKA5RKGKIsGneraFNNXlI6EV/f3DMKLMsDjSqLz9uJ027RxqK1reVvDMLmWATdQQHW0E8Nusg4dGKJI7Mn+erNK/y/i6R/TwvHvJwWjpAShxC34EArojAhiBW6PZdvmuv16DQMURAjpEUoEMKgcVJbnSSi0WpyYCam3UxcbaOGdulRNcq8m9fAtEISSIOQijh0JJVcW5LQLUgCJZhStaar2oeXNYV2ZQRWqIpF6Zm/nnQClMxascpjq7ollNu41k+2KiWpWLyCKuTo20NFyhlUV8ogSm9w9X3uIouGrBh2X4DVRCu/ndPHhCjw5Jh6eJ3K6/Neb/2zAlbpZUrhctjBiCe31rNVz4fXywzWyrNv1VO71Ekom8WWDN6XvvQlHve4x233WCY4C4yu5EabVfr3xZiVnp8kfAdpRzcZwj9sPnyU1TpPu9CWIhSu9sroouyKYEEqtxrH0suGE1qgoNAufKmk01dsRm6bQGgGmTNmeV44AekAkAGB0nQHhjTXbuI1YHTOfG/AV797J1/5Dtxy7i7xtmIPzqubCl2n8U4HggDuMZOQlh6PEop205AVlkFRoLKCUAa0wohgKiRUAZGSTDVbNJOQAzMJURS6VjpC0QnddzvICoylqlMcFJZm5DpP+O9HG1s2Sh3thejVTQDlws1BWTzujY0SFqXUkMLvvRfhCsvr4T4vxWUtleC0b9PjvShVxgwboSXTLve3Su9ViipEWXlqgqpBcV7KfolSV9Xf7s4w+wbIzhL4kGk7ligly/OzVXmCNsOWPPXFnifTDJ+N8Wora+XwzmSI/PPqCTeemLNZT22jnuHlEvrcksF7whOewH3ve19++qd/mp/6qZ/iPve5z3aPa4JNov4A1ckpbjITVdlC/SGts9bS0vtKC2iMtCCpjKkxQ6WJMg+jtUFbS4GlESvywk1Gg9zQSlTJxBNl6BKwmjR3E4333PxEFweCtFAlZRyWB5ookGgDcSToF9qFoAYDsjRnsdvlu8eO8R/fzfiXxQtz3TeLCGfsOsB0DEkIe/bA3nZIQ0qCRpuYjFQk7I5DrBZok5Npy3Qzph3FRGHEjDCIIGJPO2K606rEsyNV5nXLwujCuD5vfgmjtakWIO2SqTIonIINQlWiAf7e8cZOmzJkZx3LMg5ceDkqjZzvIJ7m2jE4q0L0YeG5FaIMRzpCyvA+tFXoz5OYpHD97QLpQn6qbFvlfsvKAOgyJ6dtqdhTE3gOSoKJKRnB9eJ3KaSTQROSWLn9YLwgg0RZUy3yfP7SMzKjWgPbeogTTjdga+XwzmSI/PM87vVzgcsl9LklGZT3ve993O9+9+N3fud3uN/97seTnvQk/viP/5i5ubntHt8EG0S9SLa+Uh4NnRi7WnzWf7aqeRt50LTWpLlGa41vwJkWTp7K1SsNBXb9an+05s4aTVYYZ+SkKhmiEms03dSQ5zm9zNXeCZxAcC8tnGE1bvXfT3PmuylLvYzlbo87jp/iUzffzYdvujiMXQu4BngAcG0DDkxD0oBde+Gq6SYzzSZJo0UrEEih6ISSKxox95xpsqfd4V672kw3O0w3Guxpt2g0OuxqN1Bh7CZyWZI4xNA799+HwBmqUNpq4ROV3pXPv3ovP82dh+061NsqRBmXxZXaujxWpqm+V6tz+pm7T7LCsJK678+304HVaihepWX0/hvW6NVCoeU954XHc+3uj0HmhL8xBWmukZjqGfDF7lXdXHktcj1sJOw6HjhD7VVU0nyosuK93lEhqnEGDYZGuh4J8ee21brXyttl+DyfK++rnkO8lLFhabFxmJ2d5W/+5m/4q7/6K774xS8SRRHXXXcdL3vZy3jOc55DFEXbOdZtx4WWuTlXqHtwhT69MN2vdEcT5j6sFEiqSWOQDyuInQfmJs+K8FBODEK4hq1pMfQOojBAa12VDdQLjRWahQG0Q8NKXna2ttYVkgtDd+B616mSCLCcWgb9PicXu9x29AjfvC3jq92d34F8GkhwHt1MCFPTjpTSimBxANMJzLQTJ0QcWLABzVDQSjq0Y0kcNqvGtlGgCIQlTkL3XQpFGAYIIWglIbGyNJK4VJ0JamxFr2VKZdw8u9IbkSgYqqlUHlotKiCEoJ/mrKRu8eMbugZKVgoq3kAU2oUZ28mw4NvD17j58gE/FotYFYKvRyw8acnnjb3xg6FcWBI6Mk6hTWV4AyWrsLkf2yjxJFCyMu4ASeikznwhurvusloseo9vnAE6X/JfFzMu9Jx7Vgavjttvv52/+qu/4v3vfz+33XYb09PTvOAFL+BnfuZnePKTn7wdh9h2XOiLfzY4U8y9Hoqpa2bWPzOqj1kl1+u5CkxZMGzHKrkoKaredb7A3NPJEZJBmtHPnaeQhNJJSGFYHmi8sn0zcpOmsdBJlMszZQWLKymL3dSdT97neyfn+Nr3TvLNO+G2c3dptw33xBk8cKSLmWm4Yi/sayl01MAOBogoopdq4hAKK2nFLvEWhDG7GwkHplooFRIIjRGBYxEqRacV0UlcOYHWGhWEtGJFEkeu5VGpS+llubyB0WU4UilVGZGi7DDuDYK/P+r3jTa2ygVa64yAN2yBMAy0pBW5zwxy56l7mbIq/Kc1K6muiEuBkrUQ42rdVL8QG9Vp9Ys4740ZYzDIyuD5fKC1tiqCD5SsjKV/H3xB/LDDhl8A1rVgMQWZceemlNu/f6bqKYGzIZZsBJdKju1Cz7nbxtJsNBo0m02SJKluiI985CO8613v4lGPehTvfe97edCDHrRdh7tksNUb+Uwxd7+id8XCw5XoWrU93jj6XIhf8Xr/LtcWWwo0V41XC1fs7MSFFYEwGKvKYl9IM+cR+AnWy4h59p1GMZ1okKqqCSuM6wDQ7Q44erJLmvUIVMCJpS5fve0k/+8grGz+Mp937MLpX7YTIIdoCqZa0Gg20MJ1GiBQRDJABAWpFkwlipk4RiiJUAH3nG7TmWqRRAG9tHDd48tckpSSViNmuhU78k7JjHWyaz4HBkJYwKLL0HMcDDsFeM9PlSolfvJ3jEW7qpluFeoTgmbkqu38oklbRTt2oUTvyfti7lUekBUVGzT0BBRRL42gDDm662PKMUjBKk9RIVAGLKYkg4hVCzjnfclVx3eeHfji8LoB9ExTY0xZzlB6hwEsD8pIRwHtQJS6sVTX2liqHoD+OOfCIF0uObZzjbMyeMvLy3zwgx/k/e9/P5/5zGeQUvJjP/Zj/NZv/RbPfvazkVLy93//97z+9a/n537u5/jSl760XeO+ZLDVG/lMLC8phooRa22zOnE+XLVKKZGmZEGWhtAbLi2GeY2hHBiu4zVDIV0QlYJGNzU0IzDCkmrnESilaIYKgfP6okCWeaGCU104upCx1F/h7lOLoAd878iAfzyy8etzvtHELQ4CXPhyCphpQrvpJMEaEQQNaJg+s30IVcpMs8FMu0FWJISBpBGGNAIn4hzHIXtnWkwngtkVt9CYbobEkZMFQ0iiMHCLS9x30YjcoqIROS8rCUVVtA1uDJXqiBUu3CcAJAHe23Md4B3ZZRiyHnYakAgpCQVk1pFCFIZMC5LAVOLP3pgoaarIgBKW3NqyXEBU7ENtqIwdDPUujQVhLZm2NaMoVjEkfWgxULLSvhQMw/d1ZqMnxFD2UnTjs27RJoahXO/dWqAZQi+HZmArA+e93jQ3aDP0Fv3YfSkDbJ9ndqbnfYKNYUsG7yMf+Qjvf//7+ehHP8pgMOAHfuAH+F//63/xkpe8hD179qza9gUveAHz8/O86lWv2pYBX2qo38gbCVPW3x81kKPvB2ewoPXtlRSI2gPlV9xKCNJimNsw1pIXQ5Yl1Fa1Xs0C5yUmAaxol59zfUF9nk/QKHMiRmtWMosuctLCsjLIKbRhpbvM7cdmueWuFW4/BXed/aU+p5gG2jgNzKlO6c21IEshipxfMR1LTqYGaSFHsquVMJO0SCKJNoIkDJlqh1gZ0kkUrViRWUkr1ugooJMo2o1oFbHIE4fCkmmYBEBJXHHd33XpuTh2oxTDhqmVZqT9/9n782Dd0qu+D/88wx7e4Ux36EndQkIywrFKGNmg/IikOA4usEzFGGFH0HawyyUbpwyRq/hhSBwIjmNh7B9OKiSuuEJQ4kSgBBwgtiHGiYAYSZgAYrAEkmiNPd/pnPMOe3iG3x/refbe59zb3bdv3+7bw1lVt+6957zDfve797OetdZ3GM1Qs07mrFBDVRQmLbx8naJUQtBG2jSj3XTTedeolTkoASlNYcdrMqZjNJrh2pvO9BQntWL1ZP5YWi30lAiFOlmh9T6ik2BBPp6s4CKJ0Q9t+hgZbH9yIpP3z1QMy1zJLDQ6QXXmjWQGwOQWaI7TVIb893OpzF7uGpcvVNxSwvtTf+pP8cADD/DX/tpf4z/4D/4D3vCGNzzt47/sy76MBx988JYO8OUeN9KjfLo25dP9fsq9y6Tup0ugJ3bUSdZJ6QmyLIJWBqMDrVODmkpmG+X3yEkut5X6JAk2+JkFqTJ2ygjKsCgCmz5itcxitp1n3fTE4Ll6uGXTtXz20S/wG7/b8ksv8v5lhfDpDpAF/N4L8MBdwjN0CtwGfAfegNGGg1qxxXB+VnAw3+OuczvUqTKrC421lqow+BDZOsVuFemUZW4YEIUxfZ/ZB1B0KmVelb9nrTUuKasI71EyR97cTFF5LkiVGKNQGKxSqEnLcSpanJ3Dm15scnKi2fbxhFOATaLgU41XraT9J5WbH6r9qKwQuZVO13W+VhUWcWPIPnkidjAeTwwMP/fpOgshDLNKaeuOFaNJCd9oiFHk7HKbdapVqTjZ9owx0odIVahEc2Bo32bPPLieSnA7K7OXyxzvTsYtJbz/+//+v/kjf+SP3PTjv/Irv5Kv/MqvvJW3ekXFzbQpn+nmmQJOpj97Ko+t/Pjeyw0l1dzIiwpRFpSqELkvknqK1iP9AWRXq4kDqrPtxHbGqkgfDbNS0cfI3CiaTgAMTSfzv9W25+rVazxyeMyla4c8/OSWX/oMPHxrp/EFiwXwAILCLCuoqiQLVpcY73G9J5bgFewtFef3djioF2ijmJU1951fsJhVwxxJmYKDuSYqw7btKa0AWQ4WIvjc+4jvQ2qfRdo+typ14qCJWHL+TqwGZUdgSEZhlomzl8EhuY03kLnjmADzd6zSv3UMg/GqC4oyITnrIg7tUkDk69RITcltwpxMWpcpAYoiVYLFpGuQI0uShShcNjeZw2WidwZKDW1EEuo3gXWmqiVaaYwa58haKTwnaTlTAItW2QdvbFXGKNWmC0qEGhKiGTjRJZHTcL3+7K0mrbM53nOPW0p4zybZncXNxzO1LZ7p91ModP7ntF06qFmoSECnxVG24FZLssu8KzVZ2KbzCJ/mNig9MaSU1lCX6A/SvkwCxVGzW0fWnchSXT3uhVCe6GLbznN0tOLjj1/mEw9f4TMPwUdv5eS9gLFAyOO7wL13wd4Mjjs4vAzXNmB0hylhtYGDuSyC9x6c49X7O9x/1wF9NNyzVzKrK5peqtzeR/bmFm00hTWpGhKPP2MMIfrh/SsrdJGMwizlSyKGwLaX3xfWELWiAMoQ6FyuCGXxL4ws1NKqnop6M8wEh7YeDFQCHxWlEXRticclYroy46J/moydF+gp2rLQkd4LN9CH0QldqZPJQCux5MnJOYNGYowExk2bVYE2JarKymfLf+c5Z4hxdF9HrtPSKgqrB/TnKCItVSGkNugwu04goMjw+tP77pnGDM8laZ3N8Z573FLC+5t/828+7e+VUtR1zf3338/b3/52XvWqV93SwZ3Fze0Ip4+Zotmmc4UQx3mIOI2fqubSLj23cbLdSx8Vs3ICHw9xUMSAhPCMCSWY3q80ENO8r0jWKTF42q7n4ctbYvBYa7A6cu244ZHDYz710BV+6eEXvwv5ErHuuWcOyx1YzMBrSQbFjpyPrYMLOxUXFoa9xS77s4Lze/sc7JQsF3N2Z5ZZJRJgftXivFQK88oO57MqRt1IyNWMPC6gqVUY+I8ZbelDTLJyYEKYVHaGWouySE56LgiIRdCZJ8FLkCu7vMCqIQlIZacpbW5Nji3wHNl9INMPtBqTVOazGWvR8eQ1mmOaDKZVp3APR7J49BEfkubqUGLp1EpVZKuqGOVFT+pojpu7Iv2dq8mcWKcc1amINEqUg0IEQkArfeLenApDZ75q1tF8Nknr9L1/Nsd77nFLCe8/+8/+sxO7/mmc/rkxhne/+9380A/90HU8rrN45riZHWEGHvThJEJsCmyAURKsMhE3cZe+kbamVuDi2P4CaV1VBYQgCVJEeifW1smKxbueVSe77sIaVm3A9x1PHPWs12tWvWJZBA43LZ+7esijjx7x/7yIk90e4JB5XQXcs4D9fUkInQcTQBVw3oCp4YHdgvO7B8zrkoPlLgdLiylnnJtrqjSv896zjUbmP1ZjTRzAJCAbl1zpZYWQDAJRanyMQvwAS8PgB5gToAJiQleGkLzhQkQbNbQ+T/so5valHIka9B9zYlBKUSgRkw4hEII4K4xzt6k4tMIomXlJm1SSliEMM7AYx+s1J8NpMsiXV+eh1qO2ZDYAFsmzUZy6smPrNEcGcGUdzWkSy5VdFksY+X8anfmDk4p1PDZF/rbyPZSJ/vlzDnqcUTYV+T1vNmmdtTBvf9xSwvvCF77An/gTf4Iv//Iv59u+7dt4/etfD8AnP/lJ/uv/+r/mN3/zN/nABz7AarXiv/wv/0v+u//uv+O+++7jb/yNv3FbD/6VEDezI8xtHxmwj0kv7zAzXDvrDiqtqRQnFp2cNGFEnlkzEoKz80GmKchjk2hvAj2Q9AfXrScioImmc6ybnsNVQwiR1gdcu+V3r2z5wqNX+Y1Pv7gFnx9AHA0W56DdQl0DWoSeZeGFsoB79mpm1Zzz85loXS4WnNsxVPUMoyIHO9VQSYsmqaJKgtsWx6qJ7NSRaCylHc1Qp/Y32R0e5PsqdaRxspHZ9lL9xSigjhj84GZQFjYlSo0xY2LJ+ptTVf5xQZ60sfPKq0bzXhEpkM8zNW4FBh5mvmZyyztIqUXb+wHQlEnh8vLXOwVYDU3SXs3XJaRkbEc1oBgjlRUkcU74+finYBRr1JCY8ozRSdk2ks456ZKe78EpMGUqE53vzZycQ2RwbZ8S6J9tnL73z0Arzz1uSWnl67/+65nNZvzoj/7oDX//rne9C+ccP/7jPw7AO97xDj71qU/xiU984rkd7W2OO836vx0x3rwTY83UYprKMYXICYWJG92M09eaqtMrpeidHzzVhrlJAgR0XmgLIYpQ8HrbDu+7bnqubQPtZo0Lls3qMr/+yJP8zu/2fLi9Y6ftpuLVwP074kd3bkf4dF2XyPhKkJjLORzMa151cI69uqQsSqzR7OzM2ZkVLOc1IQTmdUlpQGkzevulc7Rqw3DO56Us2nlepqKnccnN29oRoMFom5MBGK2Lg8qK1VCVhbRakxpLVl/JC/P0u59qr05/njl40wooOxRolVqvatwwTQEy0xlv/n2IIlgQERRltjEqjXSD8nvmmF7HGWGa/z+VJBP/REn+SptBFi0/DsZE1bo43BN2qBpPuq5PjzmjMDMy9kbjAxjvn+G9Txkg3wzV6Oni5SBddqfX3FtGaf7AD/zAU/7+3/63/22+67u+a/j/O97xDr7jO77jVt7qLJ4h8uLl4zjLOX0vjLt2PeyS8w4WxgpinNGMld1gSxJk9tM7L20pLcTyzG9qOkfrIs65ASjgfODaxuHalk3bs22u8ZFPPcqHfu/Fi8CcAeeAi4AtYG8J9QJCoditSsyOuDm0LrCoLDuzBReXS87vLrGFRRtDZRWzumKnUpDkrWTRlfOjiIQwLoC1FRRiaaWNmcENWkVWbRykv8oizfISoEiAHyMa0gxec5HSpApKj4nIpladTa3tGMPwvcuGZUwMGaE7rWTchCBu9MkkGWJ2K8/XkXQDcsKRRBVTJTZWU52TY+kRojtcz03NP5siTVXqUBRGBBbyczoPNlFsSjvODKefIVeNWiVHhmRtNFSPqUrOCcYPn4Ph9z6COeUqorUeOYcwHGdue2pOWnY9WxDLGWjlucctJbyqqvjlX/5lvvVbv/WGv89C0jmccyyXy1s7wrO4YeSE4tJuWThY+sRNM71BcruqMJmofLLCU0oWMR/isEj2XlwRxHdOvOny7MRqWcAjAe9FicWoyNHWyU45eFaNo1mvefxow3p7xK88dMgvPAzbO3bWnjoWyM1wL3D/PsQSzs3BGSiAzSrSuZYH9moOdvYwRrNXz9ibl+zuLkTLsSyGBXZeGerSCjk75jaaEi9BpTGMG5RZVQzzJJHdIrlSpMo9kbyzrY8moJVKaNghM6AVzEs9tAtze04qlVEFRGsts7WQ1EbyNcBoVhrVhMaQhKGlSmSQFsvXl2J0z0BLm7J143Un11l21YjD4q6UwvfymrmVOa3kYKy+YKyAsnvCdP6oErDGKDUgKDP3zia6w9CVQFMnr0CZQwYUYhkEo51RPo58TPnvfgJ4mR73yRlgmi1ONpUhjskTGEYGN5vEzkArzz1uKeF90zd9E//Nf/PfcP78ef7KX/krvPa1rwXg05/+NP/tf/vf8j//z//zCWWVD37wg2c6mk8TN9vWmD7OB2nNxKRPmAEjJx4/oM4EaZedyXWa0YQgPmH55hRou2Od5kLGGGmTOTEhLdOMJLtk987LMQSPwXN55SmUZ91Ems7TbLY8erzl8088zi//dsevuefrDD63uAdBX+5bWC6g3IF5BWVtWOBZp8X1wk7F3s55XrW/wBQls7rkwq44jDsfWFRmgMNn2keu1FrnhaMYA2VhsUoBhtqO4BCfvNaApGkKuiqYIQtvTkZd4oSNM1eG76awZpixZamsjPzMwgHiTCGfPc/xctU/tibluLPEllJqIKWDVFEuiKyYi6lSUTpVNOJjl69VPVn0Wzc6chhjhg2BmSA7fdqQ5etySKphvEfEYZ2BbJ5bj3VpT1R0Oh9/+r+AW7J7h8ZokxCaJ7mrJ2aMuVU5cVeXRCqPzc87UQGrcWY4HAtjtZrjuSSxs5nes49bSng/8AM/wOOPP84P/uAP8vf//t8f0JdZwuid73zn0PJsmoY/9If+EF/1VV91+476ZRY329aYPi4m1Bskj7MbPG/qSg4n2ydAUkWJGDX6lmVAgQ+RpSHZvijmBSgthF5FZNv2HG2dKFt4Rx8UKvSsXeT4eMPxtuXhy0/yyUdXfPiz8NjtOFG3ORZI+3IBLLRIgNlCFlKjYG4ttSk4KEoKpVjOl3zJvQfM64KegnkB+4uSACwqMyzggmQc+YyrxrHtEincFswqOySi1kUqAyg9UDiy2n92IuiCxmppBXYeFqVKrt5qAGkAOO8JanQ9yECLGCOeUbYrw/Nz0svXXAhhEKielUYUTjT0SbElO5uL2okkLp8QiVmMQFqDJNNfbuiwAXkzplBoGYomcIsLkdKqE0kjUy2mz5/+ezorC3p0Z5hWT/me2XbyQkYrqlRh5RfK95DRCsNYZUrVlmafyQB3yk89MdPmqas1lSr1MYHHZ5Wsbien75Uaz8ke6Nd//df52Z/9WT772c8C8EVf9EV8zdd8DW9+85tv2wE+n3GnB6g5brXCyzO2pwKhnB5yTy2D8u9FXWUUxiXNdbJeIUroB31SlchE6a0oPbPtRrPW1dbRdz2PHx3x2See4F/+esdvPa9n7tZiiVR1ARF6XtRg52Cs+NTN53KOv+jCAcuq5MLuktJWvOaeJfP5nL7vab3YHJ3fnaGUCDGHlBiyWWrTS7sszzcVkd15SWElMQ4o2VRNZKBH2/Wsu8i8EJX+DLDYndkTnoaDQotS4+ZFjwLgGTyRqSP5WsmLbU4Sud3tvT9hBTWd3+Zra15JBZXteWKMA3Bl5NydlLibXo+5WqqsJOv8uCxOnRHFcBIVSQwDGGecccpnWjVuqGYzeAoYyPU5AeUWfT5Ps9IMn/P0/Tf9WX5u/my58jxNo5i+xjPd07cCQLnR/fxSq/Du9Jr7rCu8zWbDn/2zf5Z3vvOdPPjgg3z5l3/583Fcr6i42bbG9HGn1eUzkGC62zs9H8izujy7yIizysRhPmeNonEC+Q6I7FPrNLNCAAF933N17alNGBZai+PKUU/Xd1w5PuR3H3+Sf/lb4UXpWXceIY7PC6lwlvtQGSGQaw37S8XOYo+dQlNWC87NS+6+cI679yrqqhRUoY6EDmZWZlmzlOCEQhDYtHI+8+KcW3B6MuPRWlOoiWizGqW9ckLoA9Q2ctwKsKV1yX1AnawWIslSJ9FGisJgJ/zJPPOSpEoCp6QqMBG382Ju9Wit4wPj7/L8KiXZXFVaPbY8x4X3JOAjt/XybDCDP6bIz1Ha6/pOBGQuYsR78dmbgj7EzkpBDDS9PN4anZRUxntAK8R6aTLT04xztahkrpY3E1oJYXzalhX07HhvnT7OfP89U/V1KwCUG93PZ5Xds4tnnfDm8zn/4l/8C/74H//jz8fxnMVNRh7S51aPVHjXzwcGQV/GnamPgU3r6HpBVNaFFuAEAj6JwbFqAjuVYttpCh3ZdrIwbPuYgBGG6HvW25bL19b0Xcdx1/Jbn3ucj3wCPnMnTsrTRAWUiO7lFtA97FYwM/DqizCrFxSFpSpK7j/YZXdeo7RhPis5v1NSlkI3MEZjomJHS4IptMyCciITEWXZDHROWoOl1fSpVdn0Qkm40e48RPm3JDtFrUVY+cBIhTUV6c6LX3Ywz23MXOmfSDQT9OBUoDzzAlUUZZ3sC1cYNcwBpUo0pBw1vH6RyfKTai4v7tOZHZzk8uXP3YU4SKLplIQHsAcnq6uTrXwwEdTkvbTWLCp1ogoDBvm6zE+dvp6KAdAYfX2Da9pFMSnBjZXf+JhRiWY8t7JpGb+Hp2tvPttkdaP7+SyeXdzSDO+tb30rH/7wh3n3u999u4/npuLnf/7n+Xf+nX/nhr/78Ic/zL/5b/6bL/AR3Xo8l7ZEHoo/3WsMnnWMMk8Cl5Z5UFXILn/d9AmtJp51s0LRR0OMgVUbBoNRYh6meB65tOLxww2PX3qSx7cNn/1Ux6+s4Oh2nJjbFOcRr7oKMIhiygzYXYqNzz0XNOf3z7E3qyhtyd6s4r6LO5zbqQeghtFKuGxhhNX7aIfzLWALqZQWpcIHaQXPEgeu7T2zwrON+kQLclpVwGQHrzWlFhSlgtQmTSo2k3JCMdJSsrN5bklPMUzT6yO/h6iUjNJcuf2ZJcwGRwFG+gGcpAtk53GAaMRxHEbAxyCrFceuQk5KGSQzTSin53bT4y6tRnlhyWk1glgUYwU6FYwmVdZaZ+pM9m5MLdQAMzvOOaeiz7myM3qsvOV8i/5nPn+nUdG5e5LVY6ZjhNvRdjxdeZ5Vd88+binh/dAP/RBf8zVfw9/4G3+Db/3Wb+X++++/3cd1U/Ht3/7tfMVXfMWJn2XVl5dKPF3r42aT4c0Mr2VXGwdFlsIodmrhlElC60HJgiz6gxqDp3WB9bYbiL2FURytGx69vOLxw6scrhs+/pk1H7v04uLWLRFx5xlS2e1Y+cfuDOo51CUs55p5NeNgVnHfuT1ms4rFrGJnVlCUFZpAQFMY2SzYzMNCMdMC3Ni2Aj21RlCSWivsqYW3zvpcMeCiIGB9GPpS1x17CDIzVdEPMl0KM3D0pnOlafUkCE89JJhhBneiKhmVVPpEOYmRwcl+6rQQErdzCjyZWln1PqY2qxp87qZtSqszaEoW6T6Msl6n+XFwfXvv5HFrqkkS95PEFeM4Y5MN4PizSo8JrNBCKXBBiPohZsqCPqHwknGduWsyEukzfePG96O0bCf/jqP5blYuei6R14IQGSTfzuLZxS0lvC/7si/DOcd73/te3vve94qHV1WdeIxSisPDw9tykE8Vb3vb2/jGb/zG5/U9nu94ul5+XrROa2ReFxNnA63MjYfmUZyjs6JHBk5cOu7w3nN13bOsNE7roVpQRJrOcbiR6s97z7WjNZ984gk+f/mQpoGrT8Avbp7fc/RsY4541O0CO5UYsZ7bkwqgKODi3pxzswW2rKkLy8FywYVzy4FWAKCjY9NDZSO9MsysnMu8gPchqXIoPYBKqrSg9UnUOFrRHvXJNsdFSSjHjaew2ch0vAXzAp8l4EJIU780O0NNYfvypw2jFFyuKjK8Pyv/52tMzF3lTaaeeLmCG+aInLQMmnrp5WPMsmGlIVEYRkBH5nnmNmJun2aT2lxNkiq+KWdu2qp7untj2tLd9p7ehcGbbvoYuHHFmF0OQoyiLzr5bKKBOW4ipsdzul0L1/MHh+8xnCSaP9eYJu6zduatxS0lvHe+850vmhN+fHzMbDbD2lv6KHc0nqmCk13x5MY/NdsYgQGpTZbmG6eH5jGOraeghOvlvLQxu65j20fxXAuKEAObLgCO1VYe0zQtm23LUdPyxPGKz1065DNfgM+v4dEX4kTdZNyNIC/PIWTxixdE+uvuHTBFjbGavbpiOd/hVftLLh7MZTHWhr15gbV2AHe4KMmudZGlCbQJDFEYRdMzzOFksdaURsS2NWFs4U1aeT7IvC+mhBpRw+9V0iDNaMhCi7h3oeMJvpyARhicC6ZraEgWQHWhB9K61XG4NvKcLOT2XJSqdJZQmL2PFISBu5mVeHLVkxPmdC5lRW7lRLKE8XrOxzm0BJWISWs1ooIz+T6E61t1TzXnmt43QWAncr17T+/UOHc8lWSmpO/Tv5tWT4oRdJS7Jvk85Huu91Cq6yvo6evlc/FUSfssXvi4pSzxvve97zYfxq3FX/gLf4HVaoUxhre97W383b/7d/nDf/gPP+Xj27albUcBx6OjOztteqZW5HTRyDdOnLQl84xkuuuc/tt5cTPIN+oIdIm0vee48RAFPDArQDnoXaS2Ivm03W55/MqWpu9o2oYnNxs+98g1fvsh+NgLc4puOs4jVIOZhVjDxQXsHsBubShsibYFu1VBWc64e2fGhYMF53ZnAx+ssIZ5qWldHM6dj5pFBaQ5nfeeVhsqE2mjEcBKmvHldmGMouKR5zYhyGZDpN801hqCj7g4apE2CeIPok2ZjXM3nRrU/3WaB2V1kQzEgNEJPVd3+fchjgljmL1Nro88A+6iyGSJNqckSWIYqtf8eoOAda7ylBqqw2EWpk7OreScnEwGmaA9jZtt1U3nWCOfcGxv6uSAXj2FLmaeqwHjXJrx2CW5aQpOC1/LHx8yivYkSGea1IZzDUO1e1pg+1biZkYXZ/H08dIri4CyLHnnO9/JO97xDi5cuMDHPvYx/t7f+3u87W1v40Mf+tBTUiXe+9738n3f930v8NFeHzeSInqqmO5yNXGo+LLqRIwRpfUJG5/8vIwKJDiUNhAcjdfEIILEhfIcOcWFpSiqaA2962iiot2uefhqx2p9lSfWHY9ePuTaEXzqcfi95/n8PNsoEKrB+XNw4W64OCtwseTiTkVdzgT0URiWVcX5nZKoC+rSUlgzKJPkRUsI15EqJQ+jFc45eiccskVhCMjMpw8KpUEnYnKEYeZl08IcUosQpFVZaUWMBosiRlFfiSEwKuBMtB4JNL0ISiulJ0l1SoJmnLsy2RihEsXgpCD0jeZIVkvFkisaOMkpK41sgLQaE5noSY7HNn3ZG7XiJZGowW3DhzHJ5Hbo090H06Q1rcRyu9TqSJs2JaUxJ4Atpx0TJBmpYZOg1cl7RyvphOTPP90saDVKmp1umebIFWEWfXime/xm46xafO5xy8Tzz33uc/ztv/23+eAHP8gTTzzBT/3UT/H2t7+dS5cu8Tf/5t/kL/yFv/CCcvQ+9alP8aY3vYm3v/3t/OzP/uwNH3OjCu+BBx54wUmQU4j2FIRwMwCVEwTxOBJ188KXZ28hwmrb0TkhPs9Kw/G2JyLOB5VVdEGzXwWOOk30AlpZtx7vPY9cXtE2Wz7+2MM8eej53c/AI8DqeT87NxclY+uyAg5K2D+AL7lHoe2M+cxS2Rn37y+pq4K6rji/LHCqRCuppGZVwe5M2pguiOZrRNF3LX00LEsoyoq26+m8gE2ycWtGR+bq8HR1kxfw7DQAKbEERfCOqESxpC7tIA6d/0RGEnimCmRSdnYryNVGRkNmXlx+/zzPutnRw2kCeK7w8sw3czbze7Quz+/UQGUY2nsxDMeekZ+Qql03kuWn3L1nImIP1IfU9s3JOcuKDZQAJAkbY4b760Z/588xTYDTY5mex/zdgjg95ERWZBTTU5zPadv2xTICutPxkiOeA3zsYx/jbW97GyEE3vKWt/CpT31KVPKBCxcu8C//5b9kvV7zwz/8w7f1YJ8uXv/61/Mn/+Sf5B//43+M936wGplGVVXXgWvuREwH5HBj4upTRd5N+pCRZWOi7P04d8kLUR8UhfFcWTu6rh+UQPqgqC1cXns2bUvXtrR9ZFYqtk3P8bXLPHR4lYce8nzuGB56/k7Hs45zCCjlYgl752C3hm2AqgBVLTi3XIIuuGtZs3+wy96iYlYVEAPRiZ6lQiqodespdWDTiHpMZRVXNoG6ADCcrxKoI4JNcyEBn0g7cwpUyGr4GTQyndflFrQkQ7B2NFfNVeEU8JDbz/n1ZcFM1V0cpeU6l7ln4/NDBEJEqThA658ucusOMkld2niawKYfW5MZ6OIDzIrspyjvN21TSvv2ZDVyuuKx+gZV1dNUL1PwS9bHzI4N3o9iz4W93p9vIKkHkS4bQDMpbsQjnM7OpyuJSjPI6cw1J8opYlaAMWcAkxdb3FLC+87v/E729/f5yEc+glKKu+6668Tv/8Sf+BN84AMfuC0H+GzigQceoOs61uv1i9rfbmzxPEXv/ynALKf5VIN9DyQo9mR+k3anOxUcOlFIIQaqQgAaPgjSMITApg0cHje0LkDo2fQ9n750id/5NHx08+JwN1BIkpsBGtG/XC7hgYtgVEGvejpnWZaG+/aW1NZQVBWLUsAfIYjLQFUYQjRoDde2gdoG1mh6F0FpWg8XFppVBzMrzzNaUetRDURNFvHICBrKLTfvBUSxqBQeqUKyw7hWgJbZXGnN0FrLSSq/7nQmBqOXIfJ0GjdpASbEYfaK8yGmWV2g9+Mc8KmuqanEGCiyo3rnx/ahVaO7g0narNlBXBFTAhtpCUzk0mA6h1aDB11WezmdEE4njpxUpvPAPKMUlRUhwYc4ej1mcM7QlgzS3pd2pWY6KjydbPNmo/fjrHQqZt2l6r33QoPIiXLYbDDON29XvBRlxF6McUsJ7xd/8Rf5nu/5Hi5evMjly5ev+/2rX/1qHn74hWdlPfTQQ9R1/ZKxIrpR7x+u33HmyAujj2FobWXQRY7e+RPv0TuZ19WFpnF6sPCxSlqiru/wvaPvGjad45HDaxweN/zqJ+DFYte7i4BSlkBVSaLbWQgCU1cLZjZSs2CvKnn1uT3uurAn1Q4abRTWWhZ1MVTBzifXgqQoYrQ4PlRlwW6tQVvqyoPK0l16wi1DSM1IJdR5P7QB60II5/l72nZeWp5mXLBVhNLaoXWZidPA0JKLk4q9shldKY/JdIOcVDI9QAoKnWD5I1DJppZnrr5OX1NjIhrdABQiBK0JNE7oHFnGzPmxpaf16KCudZ6RjQvy6QpuKsk1fJ50PKch/PkcaiVJJSfIoS3JSPQutNgmZQ3TXM0NFZoaCfpyLk6SwW+EBs1Jr3Pyvj4kjl9Kvhngkz9b/juqXDGPBPSni9vJtT2LZ45bSnghBObz+VP+/sknn3xeW4dPPvkkFy9ePPGz3/iN3+Cnf/qn+eN//I9fp9D+Yo3TArXT6u1G7Z087A9BWpedi8kmZnz+8CcEeue5tu6IQQRzZ6WhceCDZ9N6FIHDo5ZV03LUNhxtWx691PDwIy+uZHc3sDRw9znYPwfn5pouGmqj2alL6rLirt05VTHj4oEgL1eNx5rAoqooDaxbz7IEow1Wa7adoFNj4rwZIyhNY22qsvWgRJLb45n6YeUB9E48/0DmOUorKstgm1RZxaIuRjK30UNbLsSIitJiG6uz5JQQ/MBX670ZzFSB65JjViZxgSH5hCgk+Sk4SnFj8IRWQgWwaoL6Te3VLkqbOH/207SYEwv9ZI6WI5/b3O7LUmXyu3ytjwd0+prP98L091k1RX6fKROp+kQncWjZ2AXEgSKEIMCjxPnzQRNi5u3duIMyPZ4p2lP0SgMxSjU83WxKVZcrw+uT01PJyXGDx56OZ2r5nsXNxS0lvDe/+c3803/6T/kP/8P/8LrfOef4sR/7sedV3uvf//f/fWazGV/1VV/FXXfdxcc+9jH+4T/8h8znc77/+7//eXvf5xqnL/jpxZ4jt7KeiqZgtJhcThXn803nvMymgvd0LrDetlxbdYQQ2ZlZqVCUZ9v1bFdrrqwavvDE4zzaOkrnubqCDz8Ml16Ac/FMsYtUdBcQN4P9C3B+T/O6g102lFy0kbqcsVNXHOxUlGU5GJMSI7vzQrQwK8um8/Te0zvN/lyx9XoAkMys/F0m6x1rRwK1LIbiMacJ+AgxeBzp7wBWiSqKVYHKiGv4WPGcbBfmdp8LYrOUxZlz5ConJNfy3sOMcQGX6jEAo2iyT9+51lEkzWIQp3GSR15erDnpmDFFCGeh6MGtXCUU5SQJZqBMnsHlueNpftrJdqlUcBoBuYhAQrKYSt55p0nd03nhiXsl5Mp8JMYPsnnp2Aot/LnCCIK0Tq3c3kvy04nfaG8wmwNueD/mmeF0hpil+aaPuxGKNJ/HG93vTyXw/lTxVJzEs3h2cUsJ77u/+7v5uq/7Ov7KX/krvOtd7wLg8ccf51/8i3/B3/7bf5uPf/zj/NAP/dBtPdBpfP3Xfz3/y//yv/CDP/iDHB0dcfHiRb7hG76B7/3e731RS4udvuBPX+zPdOHnlhgDgfikrQzIjdEHadVdXvV0fUBHx9E6EFYNdVVCDFzZeL5w7ZBPXGkJHTz5KPxqzPoSdzbmwH3A3Uu4eLf8TFvYqzSxKLi3rkAX3HuwYDmv0FrT9AEX9SDWjNIsK402NoleexSebW/YqWHTCVlcacPcQusVVrnkTyczqaaXNpkgFYX6sW09fR8geAprCcFyMLeDLNfQ3rTyHKNG+yVrdJIgGz3piEIYL420LrUCpRUxLe5Nr6gLIZLXhcwMc5XhvIA/rNVDZdW6saqTZDuiF9VQ640gk9wqHEjvJlsNhdRO1ClphHR9quEzwMn25BT4kt9nWPw1tE6lCkvmnCDHidKpa6FOJsFcUebkrPWJClLapIL8nBfgo6Y0kcA4t8zgHqn4GDhxmbJxI53R6f04nTHm45HN0vXVZw6VwCqn7/fT/pT5sc+UyG7H/O5sBihxy7SEf/SP/hH/0X/0H3F4eHgC7ru7u8s/+Af/gG/6pm+63cd62+OFhsg+24tu2ibKQ3ClFG3vh8qhKgQ52Dvxpdu2Pb3zHG06DtetkIiDJ2BYbTZYY9k2a55YHfKxLxzy6OfgIQdPPu+f/ubiAvAaDfe/WhaJ3V1LEaGsZsxnNefqioPlLq+6MGN/Zw4xcHntJUlZO2hCllYP8mld7zhuPFrBsrbCSYzjAp+/i7b3sqgGL0hMFSkLmbdlqH2mFATv0FrcsOvSDv52eTaUNRRzIvFBWqiZLpCvgexSIDJgiizBte2kSicGlDbMCjXA8Ae4vBHye/bVs0YPLgeZZJ394HI7tbLj7FBahJN5sR6BL/n6KlMPMmupGi3ef/mcTQEmMF7X01bf6Xbn1LtPKbE5yhuFfKz5cTn0ZM6nkAquNLDpwnBfLSpz4v7Ks7bTm8ipEPYUaWlPs+GfIm5ETXgqbu30eG7FA+/0ebhVIMzteI3bES9JWgLAn/tzf45v+IZv4J//83/Opz71KUIIvO51r+NrvuZr2NnZuZ3H+LKJ6W7uZpJf3j37tBvP7SHRtQxEBV7LvCnPjToX6Fxk3fT0YnIn6ipdx/F2CypydbXm9x475OMPwe++gJ//6WIfUUp5zd1wYR9UaXCtT7JfM84vdtib1yxnFef25uzMinR+NBd3hH6xO7Mi/eWk5Zjl1OrSUhaWtvdpFhUgtYKzwn9uB/dOjG3N4Pcmrb51F9LsJlIWYIxh04uocVb4yACSCANPkhjFSkcL6CFXgnn9qS0DMERpPUl6grBUSgt4wjOgP7O7ATHQ+0R7UFo0OI3BxzBw3korAJRpO1IWPEXwozFsRg2TKqKMvJwCSEKEUp9EVU7J7Cf4cJP53bRyG22LJMHlmV4xAYTkyEkuvVHaKATWrZDgu5jJ5eEENSMDfwbpvVOV2jT5yF8xAWqupxlM79GBA0t+PYbPnR8X4phMT48mbnUOdzvmd2czQInnpLSyWCz4U3/qT92uY3lFxTMNqwduVAzS/IiRGLVwpFJ7RyvYtDKMj8ETY2Tb9jSdw/mINgalNeC4um1Zbbc8uTri4Ud7PvQYXHkBP+9TRW5fLgu4uA8XDmBnVlKVJcwVs7rm/r093vDAAbO6GuYkjYNZKTM4FzU7tThYC7E50nqZg207Py5YafaVeWIwwuhbJ4t150WWyhhDZYVU3juf5NiE1pArtDJ4OhcxifYgQJNET0jvVRohQU8ryX7i7h3RVHY0goURkJJdFmSuJzJxIYFopmorsvjqoY2W23iFUScqshsteNPOQX4vlKKwU6mwcOK5N7K7mSaDnHBI7VIYwR856ZZWn0ouI/jqqcAdetISdIHB5RylsXac6Vkdk5u6zFdLIw3ELpHlwQwJYGpjlNu8+Z48fY/6EOl6R9MH6kJTl3b4ff57bCWDVvq6zcGdmsOdzQAlnlPCOz4+5rOf/SxXr17lRp3Rt7/97c/l5V9WcfomfqYdV76JphYwpR35WdokDl0nLgZZ46+wsuhXRWDrO3y75bHjLU8eHfHw1UN+55Pw/7oX7nM/VSyBPeDVc1jOYH9fIN1lbVjOZlzcWVIXFXuLGa+9Z8l8PifGZMnTecqESDRGD1JS6y4SvJNFTksSyaLKeYMgbb1Mrp7s2FVklVCv1ogpbq4w2q4XgjeB0hbDd1gWFmukSsoUgohCxZDmOCIZJpsWPSzochyC0MwzpQwYiX6sMrLbdv7+rdE4SHJoHq3THDdJpAEQIlWh6JyiSi3UjFo+veDlmbC0N8f5W+9E5WVWKGnfxlEtJH8Hp9t5eZHPny9HTsBB5U3GWH3l98yUh/z44TUnRPXMh8vKQloOfKThRHltaeOOoBZJYBHv88xPYZgmAIUlSLJTcj7z8d9o5rbtxXEixIAxkVLFE/dyiFL55Xx/O5LMM22Oz+Lm45YS3uXLl/mrf/Wv8hM/8RPD8HmqV5f/nX93FjcYYD9De1MrIf5mPUxR1QiCvEtE49YLwOKwlfOsk1ZmpT1OG7SxXNs4jrqez1855Fd/58XRwnw9cHEJ8zncdwFqq9FlTfA9ZbngYLHgrv19Lh4s2JsXtF5xuOkxSmY3kJOdoTTChWt8ZFlp1i4hEWM2IU3zGQ0ozaJI/LzkEACy0PVBiT1S1Cc4ayDVpJDG7TAzBWkxW60HG548E2yzV25KRig1WP5M51hZHivD65USnlumJAyms6kiyi1ApRW1FU3PDLbwQYAZClls56Ue5ndw42ssUw2EazZSFDovn7cPSj4kmZem2HaBECUF2QkyMSekjBzODgxTb7kpsCO3SKfJYko2zxuSPgqCNmtixvT7Pr1v6+LAf6ytEn8+FXCeYTYq5ybQBxFJn0aulKXLq0/Mt7JzRGQE5BTKs3GRmY34YIeNyFTvdirQfTvirB15++KWEt673/1u/o//4//g27/923nb297GwcHB7T6ul11Mb+jThNTTyXCAeidSMzGIWn56fAYuyKBfqpHjxtN0kZ0anjx0HK9aVpsjnlit+NTnDvngZ+88MKUCXg289iLs7cNBDbGo2Z9X7M/m+ADnFnPuPb/Dxf0FfVBs+wBpV4/WzAo9gDO0SqAFZcT8VFt2Z7IIivfbqE5SWDMgDi2RLu3oYwhsJ4oiSgltwCRgSIiwrDSbHhblOJMaVG0SVSS3JENMkltpVti5QGUiSluhC0xmQKRNT06sIUqbrg8Kr2Qh9SkBFhpiMugNaEqbqi0vz5UNklRiefYG1wOfTlcJOWGNlczIM5uXmt6FAVATkrRaDKOc2hS0kudwMJ4DEPHp3O7Lz8mJOnc78pxPjoATfLbTpPTs6Zd5fXkjGNEDSV1Fma8qFVAKWhcobHbBGD358rlxKXHFyflQUcBLhY70aXOhTMHeXNxGppJsOW4003y6Of1ZvLBxSwnvn//zf85f+2t/jR/4gR+43cfzso3pDX160RkQaN6z9ZG+79n2cjPVpWVWFQMXqnUikbXtRxRdiIIw3G63PPpky5PXrvLwlas89KjjkSfgt+/MRx4/H3A/cAC86l44tw/L2YzFvGZpS3bmNbuzGa+6sOTi/oLKKo7bSKUDYIYksVMblDbJTWAiH0UgRM2sUOKDZmT2uWriCZh77/wwO3NB+k5NHwdwy6w0J5JFlmhDafZm6kTFlI9pKg6tNYPItCA2oSoUHk2R+GCZ21YYWRiFXpBmblbjvU5FlTwuc85CjBQDtF9+LmAMESJwLiQAx5gMc3LJLcfCqOuRiDEMxwWSALIYdoiiYCIIUFkqhFqRr9kwJJ0pDQHGOVsWitapAsybgnx8dTFuIKZcPxgBLXnjkueNg6tPFEf6vBWcqgypxMd0SWczJx8XI3WZlFKy1dKk4g1RvjcQqkpp1eD64IPMADuvWFQyH7+RLNq0cs3XynNpRZ61NG9f3FLCm8/nvOY1r7nNh/Lyjxu1JkIIA/hg1Qh8vk0iz4VRzCoBL/gQOVo1PLny1NpRlBUxeDaIfc1q3fDo1TWXjq7ysc9d5V9/Fj51xz7pGPcD987g7osyq1tUFm0Ue7OaC4s5O/MlBzsVy3nNwVI4dXmBCVGAI9kVwqOZJTsfYwzRB+aVpfOkhQiKBM/3QTGvRN4rV8O5RZUValyQmV+TRKMLYwVRmUApwp9LC6IaZ3oxjgtwbs35MAo5u6ASYCS1oQ00XUjC0+pEJeSjJL5cKQitQlRKMloyhJDan+oErSB71AEDVD+pa52YqblUkWXCdI5cIebWb6HHhd+oyKoNg1tCBsBM53g5EblE3J9WvwJQyVJpJ5OAItIk14SceDLQB/IxjWjKsdUZafuYfOxS6zRqMbqdgH7ycfgoCbrpXJoZemaFGhIXTOeYDO1SlVqhNrVGB6I8AZ9ARlqb4fnTmCan0/f7rXLhbjRLPItbi1tKeH/2z/5Z/vf//X+/odLKWTx1nEZK5RmEVuB8HFB4VglsfllplrVFa82mafi9x7dE73iiaannHqs92lg2jWe1WvG5x5/ko59a8clrYuVzJ0MDXwLcdxfctwd2ZlAhUNcV52Y1F3YPuGt/zoW9OV3QLEs4agK1d9SFKKYISlKjQxLwzdWCSkg/gyD0lGPdKZbKo5UhRGkDQ+JWRZmDioi0TgoY0h7stGFeJYsbawaawlCNxUxNGPljmUSuExAjVxFE0Z4UyoAgJ60WlY8QxG5HeHNqdCNntJCJyFzSkOZUqXUnlR4QhVQ9AF10wnkqaDqXZk2jqLiPSW0lvdaguzlBPholCaa2SWIsXaB9Wuj7YNip9An3kdOL+hTkMfWfG9w7VGqBIq1ZHzSVDQNCVlqomcOWqkMfhuo5A28i0PXiaiGtWwRRqyQZDi1ErYlaY7Wi9+OmskhCA0olfp6OJ8ArOXLb2ytFzjExxsHIt7KK8pRT7Y14eKfv91ut1E6c75t/2lncIG4p4X3jN34jv/ALv8DXfu3X8pf+0l/igQceuKEdz5vf/ObnfIAv5/BBFslt53HO0TQtfdAczAvms3qAWfdty8NXW+g3XNl4umZN6QKLAtCGw+NjfutzD/NrH4ffutMfCtgBvsTA7i6c2wFbwd5iwcJoTFFS24KLezNedX6BMgV1cKy7iCKkdlVuT+oBgFIXo8JHaYzMuRIHzUXNvJRKsEyts5hoApowVHleK6pC0ccMRlADGbwupD0VghDMs5TXrJxWRcn8lHGhF57cxFUeqcRkYRRU5dQPT5JenmnJHCnpUeOTmokgIiVZbsULCB9Gua2QW5kpYWVgRhY3zotvdlSfamRO58Qj/SFx/1JSzxJeKM1Ora/Tps0txFxtTtt3Som8YOsVhfIoU6C0nKdRTism1Kx83q7zAz+xmABN8mdVUapA7z3r1qOip4sar6WKVyp3AcCklm2IDGhMazQ+ZrPXkyLW+VzcCDQWJ0nJeeE1mvRZnkomMPMcbzS/m1a4eQ55I7eI0+F9EoC3N0+OP4sbxy0lvLe+9a3Dv3/u537uut+foTSfOZxzXF21bDsvCLegWPeanVmB0oKU09GzaSOPPHnI41db2taxU5VcCwWbrkf7wKrd8muff5L/9xPwmTv8mTTwxcBdS7hwTnQpi1pRVTX3Lncoi4Iq/VnMZxRlRWEUqyYCwpXQWlRS8iIrqvRIJZdlrpwgBcWk1FCbQBsMtfE0vR6sYHLLbEAMpsUvtxBzBZTbcD5EehdSWzVSmEDbjwokkP99cnaTF+ZML2jTPC0YNcxYc1U6aFFOkKDDXCs11lyAQo2Lvk5qJJmP51AYLVSMPih8CMOim6XBBqHxOC7ImpNcuuvbbbJZyMmuNOq6ZAd5rjgu4rl6zAIJfULGbp1iaa9v3+XzlAE3+TwYxnOQE3Jupbogs7NlpTluomwSiGz7SG1FODvGEZkZQqRJrWVrRJxsIPXrk/PGG4HGZFOhhk1Q28t9mr+L08853b7M5zcqhnOVKz4fxvmzepqkm2Pq9HDn3Txf2nFLCe9HfuRHbvdxvOKiccLpOdzKjrW0mrmNgxWLtYrjLWybLQ89cpWrzRbXbTlY7lHiwBQ8fPlJ/p+PbvlQ+8zv93zH64GLFVy4B4iwtwOFtezMFrzmYJfz+wec37GsOrEq2psXzAqBvmdXbx8EYi4tPEk80/ZmjJFN69i0bmgBzivwylJaxboT+HnnRUh43SsqExM1QJTyszt3RurJPCzNbMyY+DKwZSqDNU2OueWZK6ps8+N8Rv2lxdWap13MBlSuF2WYLEEWozxv6rSgVJSGmRqRixnsoZRog8rxjJ54mfsmYs/XVxJ53gXQpEo4xsi80tfNp3JMEcckukKmNsQo1/C2F+h+50SPNE7mf/kcZ389rUb3c+c9TScIyCwN57wknOh7Nl4LJSCKLNuyDgPBu7IygHO+Z9WKvmbQMhIo03d1w4jjNeNi5u/JDFApSaTyf0ED587DNMHlZHZSRu2pz1+uHk+3gW/U7pRrPX+Xpw79FueCr9S4pYT3Ld/yLbf7OF4xEaPIV3nXQ3BUJmK0oS4t1lqWldxw286zKBXXVpHeRa5sWoKDqujxQLu5wgf/1ZZ/Fe/s51kCrwW++H6oFuA9zAuoqzmvOdjl7r09Dg52eNV+QRMsde0FeVpKW7IuNEZZtBHnAZUql0F2SmlqA23Sw8xuAEe9Yn8mah2VFcBKqQOtV8xspPWG3ToRzQszwPlzBZSGYgN/TCez1FKDJ9vujAtTDJ5VE9Ksa+RBqsnuXDHC0nOLDq5fDKeLU06eLgiAxYWI7yNzFQZUYjFZAU0iqPeJmpJRnFl9BU6St7Po9XWJdgBriDSXD3FoRc6KiWEso07udGE9gTjW03araJoujSQ7gnw2E0f1kkzlkM8zVkfiVZg2EYznKET5LFsn88utU8MGJKCH8xSR4236QNe2XDl0zCvL/qLEWiszz0mLd6i4Uou7P+UbOK1+gcHEd/qdTuM0AR9uzJ2bUhemGpc3enyM0v6tJ+99o/cLXI8POEuE18dzUlp5qthutzz55JO8+tWvfj5e/iUdPkTWradzUBaWolAjEk5Hjhs/VB5N52jblsIEKh2IoeWTj13j8Ar85qPw0B3+LLvAaxS8+l4wNcwKw8G+RRdL7lvOedXFc9xzbkFVFvQhUhUaCoOKnsOtx+IIsWZRaua1nVRW4/BfIXJfonAhO/1ZaTi/MIKcJEgrTYFLLcOAZm8m+ppGRQGC6KmYcGq554UPSZTzEiImtbwScT29Z9ML16v1evC8y1zAjIJ0qW1aW0Vdiq9eViXJnK+8wOVqMbcpsyO7KPtnRRh5jNZyHCGOPD1NSKjLk1QAGOeL+fOdbtVNz22el4EAOooJH9AaPSykp1t00yovV0CE0c0hJ2qpXFNbWtsTiMNcPYcQBiWc8XOMwt65HTwr8mw0tamDolaBiBXgSzoZpdVcdpqjrePyyrFuPfcczFnUmqmE29CGzXNQ5+iibMIKawd+Hqn6yhuap4ppe1oshUbu7FPFtBV6o8fmDQI3eO/p+53C0JwCutwYUPNKjJuegM7ncz7wgQ8M/z8+PuYd73gHv/mbv3ndY//xP/7HvPa1r709R/gyilzddb2j7Xp6H1P70kIMXFk7ou9lh9o7HrvWcPW448nDFVc2K37v0paHPgs/+SJIdq9CKrv9fZjvwPmdmgu7+9y1c55/467z3HP+HK+5a0FdaFaNE3cBBM14tOk4Wjc8eq0dzgOMCw9JuzEGz9FWkr5zjhgjO7VUw9kH0AVo+iDE+z6MsxdtmJUGY0YeXwYU5Oolc8SAgcBsEtovL+itk1lTng0Z/ImZYB/GxCECAXpAfGZVGBcmYgLhZBWWRZ61EkHqDErIrb9plZETxFSvsTBqVAhRo5RYnoXmxOb8qMXZ9GFw12h7+TxacaLlG+KomXk6ppJsU8BG/nxTkniuqhs3zlKzLmgWUJi+Vl1ItZr1P/PnrqxiVhUsaysalkqsoPLrT10RSqvZr+X/RgW2Tcvjhy3rbTvM9AqjUkUZhlbnphc+66YLwwYjV65Tt4fp9xFSdZyFxYFh7gjPrI4ytHLDyfMKCazSObrecaPUmRNXcYMKPr/vFFCUZ4HhmbLwyzhuusJrmuYECKXrOn72Z3+W7/iO73heDuzlFiEIWnDb9rIjs2aQRFLRc23jUgtIMauEO7Rab3n0yjU+/vhlnngMPn5859VSLgCvK2DnAEIPB+dgf1HzRQe77M532KkNRTVnd6Y5bCI+OJl/aD20JK+ue3wQ0rFUTh7xREsLYhR1k62TRWDTw7wqmKUqxfnA2okdTEzViPdhaK1l+a8BaMJofpoXWZuUPDKcXWshMGcKQYikyktmdVob6rRINl0YHLUrE9n26XXIC7QcZ06SIgunhkUrV2A52WXJtExKz5WELOKCNo0hQJpluqiZJUBJbv3KxGg0HJU2qBpAJTl5uTgusLklmtuDQk6X15gS8Kdt2OkCmiNvDvKf0uYkKFXZug0Y5Tje5tajGr4fkWcbtU6l+ksL/wRJmt3J5T3CcDzzUg+cv1zpBKWZz2pee7fhaOs43rQE77i0UixqT0RxtG5YtYFFqZjVlVSlSkTHq1y1K6EzxOCHc5nbq9MkYvSE6zhpJQ7VG/GGFdVUHOBGldqmdaxa4XGKCfHJeDp5wunvpj5+kVe2RNnz0tI8i+ujc0Eu4G0/wOC1lgXscBNp2o7D4y1P9D1lWWCN5vBozeeuXObTD8Gv3mHAawV8EfDFd0NZS2ursHBxf87vv+sC+zu7HOxWbHq5+Y6aiGm3sklSmt25qMUcNjC3kV4bZqXw0treDy2XrIEZUcxLNUo8eY9nVLcXiLokxqowQ4U0LzXWTuaAk8FGiCOoY91Jm82jh4pIWsvgJzO5jAytrLxvTJUmWjiSPkRs8AmEAW1SHsnAh4y61Eo4dFOCdudCWujGxKCISZJMUdlIm7Q9WxexJmKNoUoAHzgJa88KIRkFmRGqAyhC6yTzJaR4pyRZjET4TDJnaE36JBE22gqNC+hpFKMk+ZRQnRur9RDpU4VkjHj7qYSzzPcBjHzGjGCcKsTk+VtO3iLcrSkLESJwMc1J02fXCqy1nN8xLErFw1dbFB2PX4O6Krm2lcruuFPUtbz+rDIsqpHO0rmRd1kV46xw2krMScQkd3NBDkvDeWgbhzhUYlPUa65uFbLhKiYdh/xZ5XyM1/CNZnNPN8uDaWJ8BWe6FGcJ7wWIXJVkZYo8oKf39A7armfVOJ482nK8bdFWs7CaRw+v8Ou/tb3jye51wOsuwsXz4r93UBo8inM7O5yrS+pqzu6yZF5ZUIH1tqPQsNn2bHpYVoGjjSxYy5nF2pJz83JyLgLGiAqLDynp6SgAFg1GKQ63klRUql6cz/M9pKIwY8V8oxlFRjPGIOa5lcm78oA1CmNk5hIixIHrpE4AIozOSiijkWuMwiGrkpNFwYgGzLt3HyLaCFHeRzCIW3lIGllGRZo+efEpaemVVlqxpZbnFAlFk5PlNJGfns1513NtGxJcP7dJR5SpSotopUceXW7HmQmaMVdTwzwu6BNzIJBZ5rbzeO+H5GR0otWoBCZKKEOdXyeK+/pwvtPstnd+qIhzhZvFqLWCtpfkqZV8D/nznP6Op+hV50MCPgWubiDGlllVsFNJu3WnknOZv88QDUX67KHvON46SiPI4sJMHNeHajc7WwjPUK7LURS86cMgVKCUGuTMppGvsWk4H1KVrllUo2D5dDaXL4GTQgNnSe3p4izhPc+RFRpcarkVynN5E6lNYDGf0Xctj1xpOF5vgB5lA1cvP8nHm47f+Rj8+h0+/i8BXncX7B2IVuRebanKJRd2ZuzXNV3UBETTsO16tr0mekcfLU3vMCg228hyaSkLzWw242Cm0Lak71ohKJs0u9GKTdOx7SN9r9mdl0RlxDbIwMbLUiztNz0kP5RmUTHIS4m+49h2Glp4CfBR2SzpNVZwwACWAVlQsh9dboPmZJf5dNOWpNYaJslhiuYr7WhbI4uiVDExjpY3zgs0vi7kfXPryRqNBXovi/5UFHpaachrpRnpVjhjm15zrhQLpbwJOIEkzMk8IRelehlBKtM/IepkSjsKcw+z0SiOEgrh4GVbnxBhWUoyWFRqSGLyfE/npLK11tJ7Oa7s8p5VaXpvMMER0ElMQATEC2uuo1lky6G2lzl5nr1qrWWc0ATmKVEeLBfXcQzz3BSSAk363pVNG6kEPMqJevq+OYZqOY6z3xBH6spU6Sa3dG/UYgxRNivGQDlxmJ+CXM7i2cezSng36kO/UtE+Nxs+yA247TwxeC6tAyp6rmwlCV5d9bRtR9tHiJ6jq9f4V7/b8UvrO3vcX4qopFw4B0UNRVlSmgjFjL3acjBb0AVxAti0jr7r2PrApo00XcO8qiBETFEyX2j2lmLeuiiEo1YEL751Ns3OogAGVm1IdjxCKp6V0hq0VYG1I2AjS2YV1gxJzzJCzocB/UTgWP5WY8JKiSIDGEBg9bktNv5snKkVQyUoVdlAfi5G3c2TepJjIs78uVyF5JZmehvmpSyqhTVDlZWX0il5OR9TjKNnnE/AiqYXtGdAsz+T1zpNkp/Oi3IClO9gatAqx9z0YUCRblNy7vzIHey8uEjszexE85LB9DZX3DmpVlaoEk0nCSkGWCY7oQGkk0QGQprvbVoPyLmaV+oEohPktbveD+LgvfNiJ6UV2kIImrZzGG2oymI4v9Pkk8/N8H2na8d5Uf8pTaqCY6B3J6kYuX2d6Roxtc5FcFqf0CidVmb52LMVUm4va51k79zYHj9NXs/PHb7PyXz1TGD6qeNZJby/+Bf/In/5L//lEz/7uq/7uutkxZx7ETiM3qE4TUjteiFKS/UTMbHniUOHiR1fWGk0PZs+EEPHZx6/zM//WntH5cFK4A9auO8BWaDnpRim7tSGqqy4sFygTMliXjNzjqPWU9nAauuxyrPtI1bLIjGrS2bzikUhSjK7FeLXpxR9L7D7qAxFEhnetCLiXFrFsrYsKuG6GSUk5MqKNqLVEZQsqNmEVCqVNCsLYWiPZQ1LP1RHakAhZji91hpzytVbiNSjHNUUDZeTTQY5zArJZlMUX57b9X5U2g8pSWR0YAiBNohLw6yyqS0WB+DGtHU4oDvDOBvKElkZtNEGMQMurWFRF6Mp7CTy8zJCNQNSQjyJ9puiRE06X72TWWtpIACb3qdKS1MWdvj8uUU3TSZ58+CjGpR0fO/Z+oDWbjjH2QkiV8rZ6snHcd6nFYMLfe6gbLqQWp0nnd2jkpbuYl5TxXGWnIn5WWxgnCHL300ndAbvPS6kmakSnqAkoJPt1JNgnTFyYsyJTeTe5PibXo55kHxLSGEIw7kO6qmB9EOFnZLrWeX3zHHTCe+MbH5zkS/C3AratIK+bHsPMXuWRa6tOo6bLX2A3cLw2See4Md+rbujKMwZ8OYa9s8LKGVWwnJnxsX5nFlVsSwsyhTsV5rORfaXFVUd2bRQGU+gYK/29L5mVgl4RKgBCqsNx11gfx4pjB4UUWalVFjCg9OURTm0DnsfMTGw7QN9CNSFAFR8mNj0pDmY9yM1QNprURJdlFop296ISkZg24XE95JbYGwvSYWQQRjzSkxfM+dNqWR1kwAHGcov4I2xspza44QIzokOZNO5YY4lCVun1pWh1Cq19FK1Ndmq57W1F2TEwHUDBfkc+UhVmMH7D64HOWTHiAxKmULpTy/gm9bROjEZjkqSpzgdSCtyVhrxi5tsBKTaYZDMyseQq/gsDF3o8X3z87SW+VcGHVlrCNHRKEVwjm0rCboqhPLh0nce0nxcE4hBDfxIYzTzAlZdYH9usUXJwaIYOZFRULADLSYl2d7n45EPUhUmzYpvDOlXSr6DzsmM2E82DxF14km5euz86LJRpOpVITPCzkPvxqR6ozb2FDGb/39W2T1z3HTCO5MTu7nIF2EIgaaTVmbXNjz25IqgDYsiYGw1LBxXrl7iVx7p+KdP3NnjvgC8roTz98CyhqKyLEzJbl1iTMVMW7Stid5xrTPs1QEXDbMyUJdKkt3McGUTmEdPVIadWhbyrutwQaq3uigxGtYd0h4KFmsSlUDpweU7C2uHVLVIWyzJdRkGBJtPCLg8U+qccLZcmuMVVpCYRVLGl1ZRqm7iyZZ83oVnPp8s70noWTG8x0BbiCRB62wdJK3QAViixTIoBLkOMhrVx+Snpkbx6vz+02O5ER0gzyjHik+qak0YjreyU+TmScJ4bgnH1FKurBo6NLmqMEr4h9tOIPwtikWl6NOCXGhFl3iIRQJ75PmUUTGRrsdrK0SpYlQ6v857WiezylyVZYrItu3xjSgQtday3rasuqTCYwpp1mpNXShISbVDszSaTetYd+K8UJcFuzObdEkbLm0id1mP1pWcwzhuSvJ5Ak7MYOeVZVEqytJSW8RpPs11hYg+ttBDuk46r5IMmYCDIiTx7PGE6DSTJl1jU+smsauKlDpQWQPRc/W4I0TpBFRlMSAxz5Lcs48z0MptjIGfE4WCcLztcX3Ho9d6Vq2j6xuuKsXFRccTl6/wqcuH/Orvwifu8HHfBzxQwN13w+5cnA1evbcAXeAjLEpDCBpCR+MDu1bRupqFFrBC1znqUtE6zYWFZt0blpXY8hw2DhUjxliUVlzbuGExdAFmVURlr7moMCEMli6ZXD5VSul6N8y+poasGVhfJeh+Jp13vZP+G4lM7r2ITwfx1MsLdW5/DgCjyXwwJx9xmB8VVaweAScZUNK5iIqBbRcHpZbjxmNVGJCFhRGgRp7X5MW2nzi0T2d1mQagFWijyfZH20SQzgvsrBTtSdRY3Q1qKIxmtd6L0o14wlmWqXLJnYjOSTVd6EgXFItCPu+s1BPqSMCFsSLROg5V5RRxGEKgSxqhubXX9JG+6+ijYVFEmiAzvW2b2v5azk9pI4cbsQIKCvYqBkqP0BJCmgsKX42Y1Gq0Yl7IZqTQnkeuBNqu5/JasbeM6Indk/AwGb6/3NrUOjtl2IEEfxpJKe3HOAic9z6myjWikkM6aa5ntCL6MPAky8JiTBy4oTlan6p+bSgLy/G257AZ27pKh5R0zzLdrcRZwruNkWc7TR8HUMLVtcfEjt61XN301PGYn/l8z8O/2/ALLwLR5/uB+3fEhXyxa7lvf8kD584xq2YYFdj0Hu8Ds1LT9IF5AcZU3H1QsnWKtulYtZ51I/qVd+8VYnjqwESPD/IYaz2dkdmSTbO7g1qSitUMs7qjjSDyDJ6iKOh6JzOOEGmSEoYLUh3Mq6mihUlzEDtUHJ2TFmKuxgrtubIJLEuZ7RQW1q2nTGCYpo9CYDeSOAYh6+BpXRwUSTK4oEjUAeLomh6SLZG07pQk3MTb258XGDNyBHNM5dRQo4N3bte6XNml5DUmHVAIMGQ3edZN5zij9Je070IcQTaFjvgoPND8XlmNZQCyaMtefXKxN1pTJXi+82EAyazbyLyMg1h2Buesth1HWwcxUJd2qGr7oNBaPBBdUl5pOtmUrJuOWelxRrEoNGjD/kyjbcG8lE1Q07kh2btknWStJeKHDYAPkaZ1qCjt6d165Pvlaj3PE4eWa0JnbpuWwyZycaFoqGVOy8mZqNXQusTBi+LCQWrFZx5kYeLgrpG5jq0TkFOuDOtCD2uHVYGtU8wSaKg0gnTt06w4V4NPF2c6mk8dZwnvNsR06O1ChOA4Xm+5ctSyWa9ZdVDagnv3Df/Xv36Ef/lJeOwOH/MF4C7gwj7cdQHuWhbce+ECS6upioqZ6Vj3ltqI4nyMHpXmGcuZZttHFEGALQVs+iAtPJ9mLyGybgIuKCKG5bweBvilFfAAqYUZYkTjubbu2bb9sDBqk3QdnSxOs0IWo9x2qgpZXFsX0chOPYSIz3y0IAv38VaEulcd7FZw2JRcXMbBqUFmKWnhQhayvGMH+TtXftZolrU5gT7sEkBGYqxisuhzYYUQn0EkArYYd/WDG7uSn2cngez0HiJkKmZutQpIQbEozAkARa4Go3dSLakxiWbD2VmhcMEOrc92UoFVVg3cssLIBqNIM9j8mbveDTNOoxXbThCSxxvYm4ncV06ax9uebSetUlQQ1KiXtnPrBLEcfSD6wLKIKFOwrDTGFnjXY4qSvVphi3KYz1ovItdE2ZyIy4G0/LQSkn7f9qy2HdfWHbPScHFvxvnd2QkKCqkSX1SgtB7Qt+vNlk8+3nJuFrms59xbpcerOPAQ89+VFcf36SZDpaQ2SLul98wJMl9zRo+EcJ2eq42lUtI+VUrk1KqyoGsbrm4DxJZiXvN0Fd4UbXrW8jwZZwnvNsQULWU0XGt6PnepoW0atl3AaDjebHj08pP8X5+Eq3fwWPeAe4C79+DgPLz2/JwvvvsiVmusrYHAYl5ybQ0zq3ChYHehOd4Y9uYQouy4t22g7zpcDJTGcM/BnKoqk9J+oIuC7OyjYWYtZVlQ2bTrdtIOmpXy/0JHuqgGWbFtHzm/yDtlBgJyQLM3l4U3G7bmiqQLeUGRRGyNxvtRwWXtNLUNNMFy756hKIrROQFJDF0Q0WexExKgSV7A8gwtu6fXNrBqpgLJstGx1iYAgtjtOB9S1TMKRXeegWuWXy9vBIRbln3eYgI5jTM870RrVSFqI0YZceaeWhUpEdsGAUfMS9h2WYYlELQZ6AeZa+a9H86leO+NSaHtAldXkd2ZnJttLxsAUcOR7+lwK4jG40ba2bky9kH86uaV6J9WqWouiwKlA10PXQgsZ0lM3cgcqxUOvlT9W8+u0gl4BOtkGKuVVD0hKmYlAzrX9VJVZqEHFzXnliVlIctd1uZs+olyCmmG6xyPH3vm1rPqLW84n4A+A2hodMjIhrtThGSMERcVhU4VpB6r7IiiNHHYyJxOWrmyz64M0xHJla08euM0i2eo8Kbz3rM4GWcJ7zZEbkkZJS2xx65uuHp4jceuHlFXcHTtkI/+nuP/Oryzx3kPcLeGu87DwXnFH7j3PPfs7aFNxaxUoAtcu+HqqmGuk5NBpQgYljPYbB0hNDy58RTG4oInqAKjFYtZJUg+BcpYDmZ6AHiUhWWnNrQucmXVCSm6S1WNjgQjLcwsq1VoRe81VSGcrblh8MbLUPqhyggej6FOZHLnHNvOJ1UTqVjmlaUuwgCssUU5KHjk2Vzv5P2JkRDUsBY5L8nFe5/Qk6J9enkt/mkNsthbJdy3HZMcDRKJurSywB83fkRwGi3qKTrSJK5VJM3oCGI+q0ktx1FYWClFFzRRKbZ9IGolaNrE1VIKiCFNkMKgWNO5MCBPs5ZrXcp30gWNVZJ0N51UXC5qaivn3PkgoBglBPK6SNe7E43UrtdUVjMvNU1Pei2pkB1qkOSaVcVQ8ZgQiEChPFdbjyZgkpNC66AwlmVp2LYqbQ5ET3VmSZudVAllrmDrh0o4hMC1Biqj0Frmb3tzee/so1gVBmUt4E6c2xBk3lqbAGXF686VzGazERGcNk+5GwDXIySVyhxOmWuGqDCcFHBWOSFN7k3vhVoxdffIlbcPkZ0ycthEdqp4w2Q5jTMwy1PHTSe83/7t3+aNb3zj83ksL9nIld3xasNnL7dcvnKNK5stT65XdFdb/p+Pwafv4PFp4PcD912ExRIu7hS84d672F/MaLxG9S0KS11pgWR7zzZECt2xjppSO2xZobRi01vWfc8MRQmUpWV3npCV0eM9HCylJVlbRR9EM7NxojBSKM/Gafasp+mk9bM/F/X7eWW51DpcH4n4E8COvGvtnaA2V+24OO/WkSYKeXnTukTAlhZXF8aqMKtu5DlchstnTlRlZYE1CRTifOB4249q+MqwrKBxJs3AhPs3LzWX15Fzc5US6EhZ0FqujSwwnBNtXSS0ph7VRzJydMolm7anYoTaSltst5IF1aiA96N8ncyHkpOEC6zblmsbN8wHey/nPCIJeFHB1slGLetuLmstAKIkoaaUVH6ViekcmoHikSvV8zvSrl01Ts4VioVJbhLRc9QEdmv5LK3LQgDSUm6cZteAQ1OaOBD0d2rxTGy7SEzz4JmROW1GwjYpKbS9JM4ra8dOGVG64GBuCEo8Jls/VkyFHcWxm67nuO1F0cYISa6qKvYLJW1V7wmnNCsV0sHQqYLMtIQ+KKJrOWwVOnQoWwlSWavUbg8CeGKsxrWSbse6FVuwoGW2nDdMmcqhi5KLJYPSzzRCCMOGO/9ueu1kgE6IXKfnmT/XK2Xmd9MJ701vehNf9mVfxoMPPsi73vUu7r///ufzuF5Skecav/f4mkcvH/HIpUt87tI1Hn4SfvkybO7gsd0PfNEePHAB7jq/5Pys5tzOLstZLTOY4Nn0EXSk9J7GSTWz6nsKYykLgzeGmYlUhaLvAysvgwiBuUvrb9N0KFOIW4KVmzwP77ddTEoV0EfD/tyk1pAs2OvWMy9l55xV+/MNKC2nOMDgFZFVG4i+58rGsyzhUi8zsjw7iihK7SEqrFJ4n76k4AnKYvDDIlMahK/nPVdbRW0Cm2gk4SXroczvKwtJBPuVFseCQha6a9vAq/YYuGpWidWMzDtFMzSrveRzE1Ho6IdWrErJKPu6SXtMFsOMBM2Aj2Ut/m/rVqq2bEm0aeVzbdtIXcpjHjtyNJ2jKgznl4aFIlV5Im/Xe0laSil256klrY3QHJScz4yWBU58L1J95N9Jkq4KgwtJFCCjVLceHR1HW3Fl74Oi8W6Yse7PLF0QRGXjNAczIVw776kKERxovUoCzbLRkMQoFf0qWUh1QWNxOArO11r894Ln8cMeHTrWvWJ3Zil1xdpHrq5a2dBEqfpmpUlGwBHXS2LOaN8YI23X03lQUfqtTecGKgfIBuvxw1bmiJ3j/J5CY8VnUEuVWlv5/IWRCq51Ui2HCF6JkkzbyQbMB3n/qigG9Z7srxhj3oyMowAXR0WWfEz53xkALDSNkwnulTTzu+mE993f/d382I/9GN/5nd/Jd33Xd/H2t7+dBx98kG/8xm9kb2/v+TzGF33EGLl0uOHhx57go59/lM881PPbK7jD1Dr+Pwv4A69VnN8/YKcqOb+Y0Xgw1oBSLOYlto+UpqEPik3rWJSKS2tH2zb0hUEFQ68LiI5YVhRWs6wrXIh0SlMrTecVeE2pZce6bXtBIxLSQhbxXkAYtQm0TsR8+5DurigQd0VkURk2rRP0YAyEqAeCdEYtVtpzeRtZFJE2WJYlCXkoiM5FoWidJNWyUKxbj9KwaTqWM2mHrjtJ7Bl44XxgWVs2QWFNxE2EjPfndvCbq6wkhN3SDPy/ZR2IURCS3ntR4C/UCZDKlNjdeyFnC8HYs/Ey53KBQR4r8+165wfroIDGas+sSqLNvZyTeaWFQO2EcqGV/L5zgUr1tDGyU2p2ZxZtLPO6lKrWwaJQaF0MPK9ZKdVwrtJy5QnjHEqr1JZNle8gPxal0WYnsH+UUDHWnaLU4kCQEcyLuqAupQU+155Vb9itNVsXMUY2Up2TSntZaSKGo9WWrVNUJrKc12y2LZdXgeg9i5nFeYvViqMmoNlyaeWkmnSebeN4QinuOZDN2eG6ZbPtqStpiRttccGAhnXvCUpmq1Vqwa+2HdZaFKIru+3FKqpzARUDx43B4Gl6PYg4d068LdcJqLPpFItS4bzY/8QoBP/CmkEMe90G2j4MTvYZ+dp76RR4GTuLUAJxqPBKc2MfvDxTztXi6QT3Spr5qThlu95EfPjDH+b9738//9v/9r/xxBNPUFUV73jHO3jwwQf5uq/7OsqyfL6O9bbH0dERe3t7HB4esru7e0uvEWPkeNPy6594lA998tN8/DNbfvHKbT7QZxnngDftwB9+4w737+8QzIxKR5SpqI1CGUNhoEi7523r2Gxbrm62xAhN17F2ntoU7NQFxlrWnef8rKQNAtCoC81uXRIR1ZTCato+UhSWurLszKsRvapGJ3KjpPoYlCxiGEV+lVRJKnrQFqNkh9t0bqiQgKGd6ZOtTtasdFEzszLrUDHRF0p5nagMwTuMLURrMgRWbVL8UFqSQ2FYVLLAZACHUkIS14phdx+UEJJRMheaOgXkpNd6xbIEtB0SRAaslFpI1IXyXFkLr7CyAqsfKjY9SYCknb2Rn1dlQfBumFnNkyyZ1bDppOWbUZcujO7qQu6Pg7RZmU6oSU4TZWFHFGOqKKdtrnw+ZI4Vh6TqvVQqhVGDbU9EDUAY5wNWBQ63HufcQKivSukIWGsH810fFcF1bJymb7ccdTJPXMwqdmYFTx5uB/TpuWXJE4eNAG0MXNibD8T6fB62nWxqvHNsGkEVz+YVu7U4ohdGcW6nZm9RSXWaZsDOB2ZVwaIuaJ1IjW0aSXj7M6HVZIPWdZuskZKxbEQl5KgePmfe/JVaKuc2aX9mhG6mh/iYEmKQtvuytizqYkDaZvrC1KooUyyyuW3+rp6qTXknW5i3Y819LvGsE16OEAI/93M/x/vf/35+8id/ktVqxe7uLu985zv55m/+Zv7oH/2jt/tYb3s815Ofdfw++dlH+Sf/7+/wkd/o+I3n4ThvNl4N/Bt3w2IH7lpYXnv3vdRlwbKuCFGxuywSMEC81tbbnuPWg2u42nh616O1SdWHp7KWmYJeWWJosXYu4s9RFs79nQXzSnbvfe+JwbF1svjszEuU0hij2ZkVg4xSbtMYY4bWXEYt5oUyeIc20nqMWiDZh00k+h5tLFYFPJKclrNyomIvLUiiADBmhZDWRYMzDq04TWDVwU4lv8+oxykvq7Li0m01Q2svRFg3vUhbeUlM26blqAkYPLYo2akEWKIRw99c3S1n5UDS9kEW684F1k1P04n27M6sGLQVtZJjGZzBk6+g1YxIUG2GDYPBS9JTYVBJKa0e0K0ZxNJ7kUsjBpEF05FZVQygoME5YTIPmm5KjBbT3m3bD3SELASQjzkTt4mBVeOGDYtwHQEiVWkHRZPsEF9aaRV3XUfjNdvtFpfmk+d3CmxRokLPxmkK5O/gZFZ2337JfFYLICpVTqtNwzrBPe/asWy6wKWjlkUJppD5mkrzyP25BW0HkfGM8JyVZgCzeO8pC8uytoO4dZYUa3s/tBitSQktfebCyvfUOuku+Jg2A73j2saxsJ5VLzJoRVmxLBkc4vcWFTvzSlzeOUnqh5PiAie9EcdlffqcOz2ve8kmvGm0bctP//RP86M/+qP8zM/8DF3Xcd999/H5z3/+dhzj8xbP5eTHGFlvWz7z6BX+2a/+Lr/waxv+9fN0nM8UFfCH5/CG18K55Rxla6xymGLBfqnZ39ljWSuisjgXsDpw+bjn2mbFtu/ZuMBMRTqg1op5Ydh0PZ2PzErLsq5xEXaqEpNsUroAu7UdHANidLR9ROlIZUvKosBYQ1EYDhaFLECteLRFJaac2lgKLa263vkRep8Wd+cDs9Jwdd0PFIRlLVYyiyqpqSTwQVZOIYahksyzqKYPiQYhiTbLQUVkphODZ9MDvmPrDfNCIPK5WiiM6Gu6qNFBqg/nZC523PgBLLOclVRGEITZYeC4lVZWTnCi4hIpCtn1bzo5vmWlT5yPyo7E9rbrOW7k/GTPP5NEsjedEL9d1AOBOYsq53MzuAskGkRWmAHh2eVElZ0VnJOWb22lMj3aOrquo3VCveijVOEeSfy5zemjGnQ8CyvGrJvWsW19ak/HlDQZSfJaD5qlRkny3TatXBNdizIiZJBpJNlV4XjbCw0hKC7slCzqYvh/oSPGimhBFpVe1pa6tGzbnitrR21hVhXMK0m8fVCJ4jAq0gyu7BMZsdPndKAkxVE1JV+PmdaRE2BOjDaJRG862ZxdWQd2Z2JhtDsvcc4RlZy/i3szLuwIpeLZJKmnSmxPlQhfqLjTCe+20BKqquIbvuEbqOua7XbL//l//p888sgjt+OlX5QRY+R4veVXP/4FfuqXP8lPfuHOHcu/Abz+VXD3hYrdWUVVFFhraLoocPUoyLNVq7E60PY9l1Yr1s2Wa4fHbJSjQlPO5+zPZxRFRWks0XQcr9a4zlMVHqst69azqME72f2vW8e8tHReY7VhVskcUCsgdERfMJ9LNbj1MsNxQTMrAtteU+PZbHsar9mrIk00ojeZLX1Se2ZZwqYX1QtrVSL6xoHXFZVBJSmyKnnPDW4ELgFEtCBF90slrg5OsSgCYFP1p1j3Ea2FjJzpD5Ic9TDP2vaRpneSZILhwtImrpu0BIV3p/FBADNKhSG5zArFodfoKG2zQguXblHFoSXpwghE6INsEDKtQBEpbTkktjYp+qy6QGUjDVKR2KSEkkEhOAFm7M0M1oqgdnAdV7cRHYXEbUySg1Oaw02PJvBoI1WcimHQH900jsWsoCg0e3NFCIoiVUW1EQBG70B5EfquZ4q+EJ3RGMEktRSUbBryeS1S1VwYRbUo06ahHKqjjGrsnOJo65I+qOFgIXPSo620SmdVQUybsr15gdX90AItjCIUhr2ZfB+VTSbCLncH9CAWECLoKDSJ0iqsMcyL0SljeIwaSeSdi6ObRvCsW7A4GmWGKjgLX+/MFYtaqr6DeY/Dcj46oi7Ybh2N88wLJRZPacMFo//jMyW/p6ImvJLmdTeK55zwfvEXf5H3v//9/MRP/ARXrlxhNpvxzd/8zTz44IO34/hedBFC4HjT8qsf/zz/xU98it+7Q8exBL7Uwpd/KVzc28Wrgr5vOG4DZW+orcha9d2G42Yji3zTEYqaMmy51BpWoUNjWMxrlCqxSuN6h2+3dM7hm4b5bE6lDMoYjtsWWkNhLIuyptABFyIGhwaON55AJAZFg6ayns225dqqo0gixbNKFPa7ZsOjl6BUHdV8zmNbT2FlIRdrGyGBawXGlBRlpCqLgVrQ9p5FbVPlENAqt9XMcFM3Tjzf+l7mjosi0nQCqkFpglfsmjTrSY7j81rcxsU0tAeg6WVxlGQXkkWRYqeQlm2VlFkaJ/O5VQt7taLzUsXWVirGzgUWpefSSrGsZMGeV3aoGtreo4JHMI+iunK4SXOeJLzcO4+KguJbb1tWbcC7nqgLLiwtpS4GBRljDIHIqovMClj3inlKpk9c6wXRuW0IARQebSzLWvRHV9tIDI7OS6WyUxmKuuRgqcEY7tm1mKJiGWReuZMq0zz7U0qxnBUsKjMk3hDCsIkprR4SRa6GYvBpTiqzS02gSxzAGCOrJs1LnVSEpRHUb9N19EHh+o7NtqEuNHuLClWVSVYtGQs7xcxGdmYFR+uGJ448u7UWJZOo0LFji6E08n35ILPgTRvYrTVBFxCzHubEzSAnjyjXRqkDV7djK7os5PuwRjYBmZZQVpZzVhPiTPiOTcvVjccYw15dsjcvqKoCHyPrpmPb+WEGXlgzkPmfTTwTR+9Otzyf77ilhPfRj36U97///XzgAx/gC1/4Alpr/tgf+2M8+OCDfP3Xfz2LxeJ2H+eLJjoX+OTnHueH/9mdS3Z3AfcC916EsqoprWHbdzx2vKbbQh9AeQgWQgeqAqIYuV6cw7ZrKY2hcIraBtbrlrL2XIs1Ot3ola1YLhRlWVEUCheFEG1dYJluOK0NWknSicpgQ0vvA+u+w7mWIzTXVoq6sHhluWu3oDca53uuHXV4D+vQsUtBYSEgrug7aaFE26HCOdx6dOjovRo4fjH4gcPWB0WRqATe9ZJ8DKDtoGF41ILtey4dd2itObewVFWEKFDxupQFJIM85qUWS5+2o+/l5ldEaquGRd2FlFz75MQQS5Y1tAFi9ANaMfPYtkGxV0W2vWNearwT884mcckymCd6ab1tmo55qQfllKY1xJTU100ghEjwmnpm2DrFZuUHmsFOLZXRzEY2TQ/KsV11XF57rh2uKcsSrRXWFmzbyMworm0ihS3Y29V0vUe3DmsU53Zr9hflMBNV2gzGuVlrVCOVYOc8pRGAhk8zSxIvsSzMAO4RsIXI1ZVR6Cs4sSTqXFagkWr0yeOApcNHQUAWWtRzqmLixqANbTAEF+nWkaXrB6Wbda/YKxVdUBRK+Jk+eC4dNczrwKJUrJyiNIG2g2XiaK47acNeXStKm4BQFrqgWZRjNU4UFKf4QWbbI5V8JO2gSpOFvafztjw3XXVSKWugSjJmgs6Vnzd9SLJ1Hb2TeeK9+xVVVd22teXlTlG46YT30EMP8f73v58f/dEf5Xd+53eIMfIVX/EVfMd3fAfvete7uHjx4vN5nC+K2Gw2/NrvPsz/9wOf4NE7dAwaMWltgSevgTcNDz/ZsNnCdpMW2h62DgpEg7EFdgzs70K/v2ERYV0ESgVrB3XZ88S6x3YNbSM3mEEIuncf7DHTNevO0wWPcoGuKonbli5qLDArC+rScGV1zCbAXAUwJTZGHI7L25aqsGw2M5yPdA6M8jhtqbRBG8Ws0hSFTtY+geONow8dtSW1+xRX1n7g9+3OS4wW4EjTOazRNCFSFbBuE3jCGAqrUZ0sVDMrVdi8gJgSmsGzcZGZkTmYwUtLMyER8+wlt0sjYmWzU2V1fLGjUcGJ2asWUI+Knm0XBv82RRwsgkDmh6s2cK1xzKwsrF3X0XmZNzkfuHzYsd5u0MayO5M56LWVY1FFSBuNqiqYzTRBC0LVhci1bWR/JouyoD8NxkuSefwa9E5jixnVrOLijiTQ6PsBxFJYM+h/ZvkxM3Gg8EGSW+tk8Xe6YFkkrmERKXwcbHRyEp+VhnldDMhCYkiJfQS9lFbT9UIfWW9b8feziqNtoDSwbaEsNdpamiDn+HDTslNrDpYFG20ok23U7kwRUFRpLlknybJZoYgeZjbS92LAqxW0wbBTK45bmV02TkQOtk3LuovJJkjayatGgFnHm9HpfNu0PH6tQyGSeUVZcX5hmFcVSos6z6YTPVjRHxWgUVQi80ZwOCet8roU6ojSehAi36ml5dv3jsN1z9HGYXTkuFnwJfdw25Ley73ledMJ7/Wvf/3w9/d8z/fw4IMPDj97uYdzjscvH/LTH/4V/s5H/DM/4XmMiAhPz4H1FjYPi5p+gyQ3B1wC+vSY8+k5xkPdQt3DlQ7Q4D20XhzNdRLHXW2gLGC5B/MIj64ajlZrOu9lMSgUWlc0weGjYVFZ7q9mNM7gTAEq4jTslZZ1F1mWJZ0TWkCPwrUyo6uLgnsOKrrese0Y0Gyt83RNx5Wjjqq0zGcF80qL0n9GOXoxU11WCd2XHLhLHXAuYmNP12nm1hKCgB5mhbRyzi0MXW1FjcQIMIAYOGwj5xaKPsDhuuFo61hWgjg83jqB8xeC6vPe80RnOJh5tpik/SjQ8uOu56gF7Rtab4ghsL9TDdSHrutxHiob6JxiWSsOvVSr661UUyqW4t8XeiKRSoulTQia/aUSxZHKDLJtWon+ZQjC4bt7V+Z4pRXHcKsCC+t5Yg0XFpE2GIy23LVbUpTV4Mk3gCpS6y07O+TW3Lbz2KS2ctyLK3urDHUh887SJIJz8Bxv+sEMVSgZqcXu/KizGUdD18w7XKcqqY+GuhKHjlkp18/9S9n8+BCxquOo0xQGtLFsekmYtrDMjaPHYFxD42TGt7+sSRaxHK7aQT+0NMKHu3ffiGGs9UOSDlF+17SevldcMBpb11Q2suoA/OCWcW3d0XU9Xd/Ru5oLZaSnwCMX57oJxOhZbSN917J2ht0Kzu0taZ3MCqtCKBoHc4NOWqFaJXeHIC1R5w0RRwye4yayv/Rc2wb2lZDiZ4XQW241Xu6yZDd9Zr7t276NBx98kK/8yq98Po/nRRUxRlbrDR/5zU/z7p/+7J0+HECSlwOO0p/Pn8LYqvQYjXy5BXANSYhHG9jbQKlAW3C9JMbKyk593UP0UgnGLln8mJbLAUIQ08w6Rp5oe85bB9rSNg3XygKD5/h4w9o5dqwhzuZCQu8MOva0waCDpipLPAZjSFwusAaOtoGoHW3bsW16mnaDcyU7ZU1BzdbJzpsQCTFi8NRWEiGkmYMuKJDF0kbHpZVDKzcgNtuEvnM+sNoID613ksgNntVKZLe6tsMHxdoaShNZbzxRwc7cEqJiu+2pK83hkaYqNZuUqGTm1uF8x7Vtz15dYJRms91K1aSlkiu0whlLVRquHjvRVgwBo2XRVdqgDcznortorGF3JlD4LmhmxtMEM9oWeQeaQYXFFjLfMsZQawEAbZxhpwpEZty/FFRjbsdGELWZ4BNy0FEWlnnpB0rDqg0D76ztZP5XGMX+ssaqQgj0CXWYk1Lr1KBp2vXiWdf3QsO4tu4pjczB+r5n0wYqK+14Iri+5UofaNstmJLdusD1M4y17C9KUJod7Vk3QRCkrbT8iqLgUENZRC5d6ygKjdWRddOLFiuRyytH2/Y0TUNUmsrA8bGlD5a9ucarYkDEhhDoe49SZvAy1EqxPwOQ1nff9zzmHW3fUSi4uGuISrNbJok652g70X51zvHQI1do+sDezPClr5G2Z+/FdWJZizLLvJKlOUThY26bloevtvi+FcWdsuD8Uug5pXI0Th7fOFieWtVvdS73VJSHl3LcdML7r/6r/4qmafjABz7Apz/9ac6fP8/Xfd3Xce+99z6fx3dHwnvPteMNn3nsGv+/9/0mH7rTB/QsQiOVXkAS3TL97dLvLwP3RNjvpWXZOnAOVrJm0gHNBnZmsvh89nPge9jdgVkJRz2o7ipPOJjXx+zWshPd9j1dhL5zMDMcHR7jtGGmNXVVS4sxGEoMO1UByrBNHK0YA6U19E5cFZwH4xbsLEqWOwtpdUXHNhmt+ui4fNxxuNrK4tp3BAyLMrLtAm3bsWp7fJR5lFapBegbNt4krzHR74zBk1SXacR2mxA9JiqMNZgoPnTiKlBSFZbWe65dbbA60neOXoEhELXFdVu+sNpQhIjra/YWczYusKwKtClZVko81IjJksYTMBij2FmUom9ZCneuqgxVVQ0yXjGKZU8TpELdBItWkiCNkfalRhKTi7LIZ3PaGGHroS6klRqSWHeGzmutWW2awfXg3E6ND5ZZCZsukbGdo/PCRYxoqkJR9ZHGia3TOknIzUvNuukJ3nHkfHK973E+0rQ9TdfRCtyReVXTOhGTDiiZDxclgZqOnsu9Y6Y09AaPRyUS//7ccqXxYh0V5Hs42vbMq55Se9bOUMQO15dEIp1zKDTed2z6hkevriDA7nJJZQ1Xn2hwfUdQkQtVzXw25+69BbYUMNi61VQm0LQiUXZuIeLbl49bHr3aErst215TVpGtN9wzD3zh8ob1Zsum8ewsRJDjytGWL1y+Siwstljw5LG4X+zNi1TBCXcx68QqpKK+ts3zO7CFzMONLWSuqsWmqPOycT0dtzqXC3F8rnqZzPRuOuE98cQTfNVXfRWf/vSnB1jufD7nJ3/yJ/nqr/7q5+0AnyratuV7vud7+Ef/6B9x9epV3vSmN/G3/tbf4o/9sT/23F/bRX77ocf5lv/1d2/Dkb6wcbrheoUx2QFsGYWsdTIDt+kxJVIR3u3g8HHZ+R+n1zx/BV51t3D+PnsIoYdiBvshsDFb+r6h7UmcJ03jg2hFxkjhAsddpLYGzQ47lRBvP3fpCqvOoXFUtmZWGc4tStZtYLNdcfmowm8sa1/QtK2AY6KmR+7EdZJ0chh2K0vroQ+OJnnzuRipbcWy1BgrC32lI1dXbhBxjtERlGWmAaXYtoHayPzPtS1tcCgfZOHrPL2zeO9ovSi0rEKgMAKCOKgLjoJitxJtzFlpWVQ1Pnh8hP1KOHplpalLy6w0tHUCNBTgVSFt2aiZGyEpC4laMzORKxuB/c8qi1YlcyvndV5I9emjwNd977jWipHuojJoY7AKrJFFc9N0dF2HMTI/2nZCkt5sGzqvMcpzvFEoGmLwrNqE8tx0HLeO6FqKoibWhoc3azZNx2q9IWrN3AK6AgLOw8p7LCKKrY3FIgLTjY9o1w7CB9GI8/ralVSFBqSy2tEO5Q1WdaxcIDpF0ygeDrBqHS54CltgUJRVRQyKLlpKHfHeQPB0fc+1pkcbIxJgvWITg7h9bI+Za8Phas2TjaPbwiftMW+4d8aifjX7VY2LhhDgsWsNTxx29L7js1Ghg+PJzRbnAtpE9uoF13wAZbhypeehy0/yO48dUgNfct9F9uYLDtdbtq1joRTK9Vy7dowrA48+aSktVKVlb2fB8QbqqpRKs7Scm2uct8wL4Q8WRcFerfBKDW1Ma6+fvWV+IDx73p0oH43/fjnETRPPv+3bvo1/8A/+Ae95z3v4o3/0j/KpT32K//w//8/Z3d3l937vhccrftM3fRM//uM/znve8x5+3+/7fbzvfe/jV37lV/jgBz/IW9/61pt6jUyCvHr1KrPFjihBNA3v/i9+gV9+no//pRhLYIZUgT79+9XAuQtwfAxEsDO4d18qiiZApcDM5AlFCa86v8sMTYPm85euEIy05mxZUeCoqiUHleHK1lFXhr7rsUXBpm0obcVeXWGNofUeEz1bF9gpLQFR5b+22dKHwNJoirJkfz6jTGK7Tbcm6iI5hVv60HPlqGM5K9mZldS2ZNN3aFEe5LAN1NZQliWLsqL3nkJrOtcLPD0GlO9oKDgoPaZYgt+yah1tgLt3Zmhtk6SUxxQzSiOweu8DVWnYmZeDrVHnEj+s0LRegA5tD9H3bHqPxuGiZa/WYCoUAWM0vYvgWxGs1pFyNsM7h9YGq3qxcMKhTEHwMqNabXvmpTiEr9ogoAnv2DqH8z1EhSlLVFBUpRW91NjTBei8Y7eqsCpy3Hi2oWPbepb1jOA7Gg/etxS6oC4MCsVuVVGVGqU0wTucV3gVKJRh07sERhJqRGmsmM+6SGkUpbUoZbh8dMRRiFjvicYSCTRNy7wqqQ0cLJbUVmFV5LAVgYUYDVvf0G47nPPo2PLo1S2XG7k2D/YqduqC403Pk+uWz35BZuIHO/Dlryk5v7uL8y1rrymi2BitomavKGlj5NJ6g8Fw725NXZU8dnRM6WHrPZ++dMjjVyA6uHgP/KFXLbHlHtoYLs7n1FUJyrDZdqA1WmkWc8v5vTmVlnNhlFAwIjLn3XaypZ2VMk+WWe1oAJwFxoWDOiq9ZCmyO007uNPE85tOeG94wxv4t/6tf4v/4X/4H4affeADH+Cbv/mb+djHPsYb3vCG5+0gT8e/+lf/ire85S383b/7d/mO7/gOAJqm4Y1vfCN33XUXH/rQzTUh88n/3CNPUNZzfvO3Psq7/9m15/HIX16xg9AjFjX4RmaKSwWzCsoSMAntWUPXiBXNfE/cBGKE1Tb9rIDew1EDezVJlzPQeigcmDlsV3CwC6XR7M7nHMwLXFCsmwYPLIuSolA8criha1qigXlZUpsCrE7qIYF5aamsoQ/gQgDf43TF/bsz9ha7HG02XNo0BNfSu5Y+Wu5bWpaLXSCikkq+J9L2PY0T/77C1ty7N+dw27P1ntBvsMWcRRmZl3M2fY8mcrhtcTFSWMu8KCmtyL2tmgaPVHY+Gvq+Zd10QCRay9IYtlGxKIRwvjev6F1PHzUmRrYut7wcB/MioR4rooK6KHni+BhlDbrv2DjP4bahtNB0Tix2oqdSBWvX07pA30gFv1dqzu/vsUAupAAAJmRJREFUUsTIUdPSx0CtDPPZjM4HOtdxvO0wOOpqhu+3bLzB9V4EmZVmWRec292hMgLGubbtafqWRWmFxtK0HPUOqxTzosDaguA7WhS+61nMagoU19otvUvz27JAY1D0eF1RKMXd585TKeGAhr5l4x1Ns+W4aYjaMreWbYCrzYZ241hvoTIwn4lsWtPBpUchlILo3blLrvO+hXkNVhlKa6l8jzOWfevRZYnrInuLkkvbhk3v6b1sdj7/xIqtg+NrcNddcj988bl9XnVulwfuOkddlYOl0LoT9ObdexWmqAZJu5ycBB0cB5cMYkii0KIqczAXtK3MggXpnEXHs7FuYc0o5RfEC3DgRkbR+lxWwkvM6jnZpUGEweOJn99K3OmEd9Mtzc997nP89b/+10/87K1vfSsxRh5//PEXNOH9+I//OMYY/tJf+kvDz+q65i/+xb/If/wf/8d8/vOf54EHHrjp1/ulX/9tvusX76SJz0szKpIKeyMVXwVsIzQNuEZskXYRwEyJtE93HpPnGuDcrozW3C64rQBmPv8EkOZORQ19L8i/soCNg1oFHq5WFEE6Z8onCobdCNfQwraX50XV0bcdJlkTVSUo3aI9UEgy3QbQvuXKzhH37lxloxV9E/Dac20VsLanixUXwhbvHC5CqaEJkU0vwIc+Ki7MC65tV7i+Y+16DleBg72G/cKyt2ugb2lQdG3LqmsJEQ5qQ2Fq0JHLR8esnacgMi8NV/pArcBoTQxwzSrKCI8pjXY9lzcLsXkJkWvbFe1WYPshQu+kmp5VMp8tS1m0t738f1CX8nC4lvPbOTi/17Jt5PHBwWwBbRE4Xl0jaqAXiosKsL/YMrNwaT1+P4V29L34uW18EtsuA9GDaxxl2HK1C3i3Zd3CzrygshYfYB08ldKoGFnqyNV1T5vc1lsURalo2p7eaA5KQ1HPCDHSd9nb0HNtu6HSAmp64miDUYo+BLa9Z9t1XEMAW0dH0HbQ9tCW6XxoAWbtnpdWfmmhuSooZhPk+rlrF0pb4ErDTjFHWU1dVmxNw1EMXNqsMQbKqKl0xesuFFBYmt1rPBJ6Ll+GEK7RYLiwt8PecobrongmWstuJVQSt2mFO5oBQK6XZNZtuHTk8a7BIbZBhTWUpeGJa5a7dmziFwo3MirDrFDMazGVXVQMJsTbTj535+Sz5r9XHRgr8m955pevF5FWe2lz9G464bVtS13XJ36W/++cu9FTnrf49V//db7kS77kuh1CRpB+9KMfvWHCa9uWtm2H/x8dHQHwnT93CV3Nn8cjfvlFjbQ0PWOyswqOolxUKySpHSPzwcvI/DA/dx9QDRx1YK9IUjQIwCakx8xb+bcH6gZ2nPyy7QVQs7uUBKejLK6LWhCfsZcWa9vL+8+R2eT5u6S91DSAhaKA2sCljfAR133Hhd0SbQ1LU1Es1jy2Fs3UAjEonVlLr00CiMh7RwKBEhUV2lbYaDmYN1INFIaFhrUSKTVtNd5rnAtc3XbMLdjCYI0ldIFOacpYsasDTfS4pqOoKvrOsdaG6DpMUci595Ej51m1EK3Bp393DnZK2GxhMROlGGvTPEYL8MUlcYIiyGZjUafEVcFyB2YF6EISg7dgS+iVzG7bCLPCoIzG7AT8xuMNXOl69qoSow137QUub1qKCJVW7BrNygll4JFD8A6udj0Xl4qqNFTVnNIWVAaubXvWG0e0sGMVRhvadS8JncCVNrJ0HRqNDwFdGGa6oNCFcAStZX+u8VrTp1b47iyyrGtQmvvvgePthq13RO9Z1iVdLxqnSlnOz0uUKdm0W0L0HLc99+8ssEXJoqpYrzd02mB8h04E8eMO7pnNCLrinp2KopxRKAVWo/YOKK8dorjKtbWoGx1tNXUrCNhLxxqbxMpnFTSdVGnZg3HbRLSB9dqii4Ijpyi1QmmLLTSd1+xURoA6RhERIYiysNjEHc38ulkhJsd7tVBWaiP3DAV0QWT8rE5I78n8LlsLTX/+UoxnRdj4zGc+w6/92q8N/z88PATgk5/8JPv7+9c9/s1vfvNzO7qniEcfffSG6ND8s6fS8Xzve9/L933f9z0vx/RSiH3gbqQq2ynkQl818AUk4VTpMSY9pkeshuo9MBFsDdut7PIQ2zCMheVMPLrKGo4ug1NQX0meaF5e7whJgi0yC7wAHOyDuQpOg23FY6wKkhjvnkFVSbXie1jMYecAigibDlwLsx24sNCURcHhtoWoOZgVhKLkcLVi00ZWa1nEFzXce24fHzxd19IE2CsUPZq91ZaoFQdVwcVz5zg3m3HP3pwnj1te17a4GKhtIchKY6itSZ5yEfC0fRABjRDxCAJTqoSKea1x0dJ1PUqJae6mbbm0bun6hsKWLEoRjb6ybaiM5lxdErCpbSqizcdtQ2EVMSj2ZxVV4jyuO0fbb+hcxPmWECNN69idzyhxXOkNJT2LqqbzkSJZ8JjCoKPn8eMmebiJBqhzsLdYcNfunM4r1u2GTefZm5UUCg7bnlXbcDBfMrdiunttsxUNS2BezplZUNqydT3LsmRWFNR1SfQd6w6+6NwRXTR0fcd9+3uUxlCWNqnGBK41DU/sbpiVhv2qwhrL1nWsm5atDywKw7wssVrT+UBtxQNP64LSRLQxdP0CrTRGC6rRO0+ZDF6zqLjWehAVCN7RB0NdiOpOCCTUZkFtA6aas1tB1AUqeqG5dD0uiPlzbWHTRWobab1mXor/Y5ZFO79jefWFXXAN8/kuD1ysWMzFaWTngqHxmspEqtLQ9gztSG0svhbrqwszT+M19+xGUSEqLTszSfKtV+xUImXnQxwc7rPDudZ60OEsC1Cq4Ga3+CM37yWc6VLc9AxPa33Dvm32ZrrRz7x/fkjar3vd63jDG97AP/tn/+zEzx966CFe97rX8ff//t/nPe95z3XPu1GF98ADD/DAe/7Xm67wlsjCPY0SeABJHO11zxjjy4B9C+fvgd0auihViO/BCKAMo2G5BDo49nD1EXjESXuwlB+zQqqmmI7HIhXROeT5u0tYLODuc3Awh0euQrWj+eK9Xc4dnMcHT11W7M4URxvP5eMjmranrmsuLiuOW8fVTc9+qVFGsXUR7XuMLYmx53DT0PnIbmUpbYEuanYKx3Ff4Ps1UZco1xKKGQt6elWwXh9yddPSth2L+YJ7DhbM6gXtdsPlpkN54WEJ5D5Sl0sWlZZ5A5F5WVDVlcDxm56uDyzmpbgQBOHTlVZEk7dtz3rTihu17/HJv66oZoPDeYzS5imNoBQ7F1nWhvmsFpftqhKj2bXA8QXtaAdPuj6kBUmPQs3ZNDUTuTPk3/lwwkKn7T3btqfrHSjhzmXhabTl/FIcrq9tHMF1AmrpRQtyWWmWc7HBWbcJwFAoXMwUCz04H4QgFkWZoF4XyRU+iLpJiKL20Qbhcm17UZaZlYZZVQxuDHkOJNZS0i7LLt5BWSyOTS+SbtpYUTNRAkYKaGaloU7yWjEKMOzqNjI3DlPORKJLJ/cERKLrynGDMYa7dkuiElPgGERXNCBmtmUh/oEuCBViUIFJqjjZT9AYae15zOA6DwyKL1meDhgI6VOLpLxEZuBHfm4MfnBnyAATH9XwuUsj7dZsXZWd6bO4twvZ7V6ddCBP4unZfDcb7+bk9VKOl8wM70d+5Eeez+N4VjGbzU4krhxN0wy/v1FU1c3rzv3gV1/ky97wRdx3cZ+6KocLz/lA2/UcrRuxKHEdfRS7m/V6zb/+/JN8+guX0HPLV776Lt7wutews5ixqAsR8w2jqGzTdoNs0ayuBtmlEMLgdD0rVCIFJz83YwaTSbg5Qmg26MwLdL5xp1p+eSid1eDzTZaH57mN8UzD6+eCAsuJY/r+2Sn8+Xzfp4udndv2Us86Fs+wB7vwwhzGbY+95Yy7n+73OwteddfzfxxStYgIwskonvf3VkpRTnLXdCamtQiSn8Xtj5tOeN/yLd/yfB7Hs4p7772Xhx9++LqfP/qoKFzed999z+r1fvv7voadnZ0Tu/Qb7aaUUoPO4HJe3/C13vSlX/y076W1pi5FB2Uxqzj/rI701sIYw/y6m3qMacvime6zZ2ptPBdpIjHPvPGTn8/3PYuzOItXRrwk9xF/8A/+QT7xiU8MoJMcv/zLvzz8/tlGdiouCwEavNRbB2dxFmdxFmdxMl6Sq/o3fuM34r3nH/7Dfzj8rG1bfuRHfoS3vOUtz4qScBZncRZncRavjLgtjucvdLzlLW/hT//pP813f/d388QTT/D617+e//F//B/5zGc+ww//8A/f6cM7i7M4i7M4ixdhvCQTHsD/9D/9T/yn/+l/ekJL85/8k3/C29/+9jt9aGdxFmdxFmfxIoybpiW8HONOQ2TP4izO4ixeSXGn19yX5AzvLM7iLM7iLM7i2cZZwjuLsziLsziLV0ScJbyzOIuzOIuzeEXESxa0cjsijy9P8/nO4izO4izO4vZHXmvvFHTkFZ3wLl++DHDG2zuLsziLs3gB4/Lly+zt7b3g7/uKTnjnzp0DxOvvTpz8FzKyUPbnP//5lzUi9exzvrzi7HO+vOLw8JBXv/rVw9r7QscrOuFl+bC9vb2X9UU2jd3d3VfEZz37nC+vOPucL6+4U9KNZ6CVsziLsziLs3hFxFnCO4uzOIuzOItXRLyiE15VVXzv937vTXvkvZTjlfJZzz7nyyvOPufLK+7053xFS4udxVmcxVmcxSsnXtEV3lmcxVmcxVm8cuIs4Z3FWZzFWZzFKyLOEt5ZnMVZnMVZvCLiLOGdxVmcxVmcxSsiXpEJr21b/vpf/+vcd999zGYz3vKWt/BzP/dzd/qwbip+5Vd+hb/6V/8qf+AP/AEWiwWvfvWr+TN/5s/wiU984sTj/vyf//Mopa7786Vf+qXXvWYIgR/4gR/gta99LXVd86Y3vYkf/dEffaE+0g3j53/+5294/EopPvKRj5x47Ic+9CHe+ta3Mp/Pueeee/j2b/92VqvVda/5Yvzen+p7yn8efvhhAP7IH/kjN/z9137t1173mi+Gz7larfje7/1evvZrv5Zz586hlOJ973vfDR/78Y9/nK/92q9luVxy7tw5/tyf+3M8+eST1z3u2VynN/uazzVu5nOGEHjf+97Hv/fv/Xs88MADLBYL3vjGN/K3/tbfomma617zqa6F7//+77/usQ8//DB/5s/8Gfb399nd3eVP/sk/yUMPPXRHPic8f+vO7fo+X5FKK3/+z/95fvzHf5z3vOc9/L7f9/t43/vexzve8Q4++MEP8ta3vvVOH97Txt/5O3+HX/qlX+JP/+k/zZve9CYee+wxfuiHfog3v/nNfOQjH+GNb3zj8Niqqvjv//v//sTzbySh9p/8J/8J3//938+73/1uvuIrvoKf+qmf4pu/+ZtRSvGud73ref9MTxff/u3fzld8xVec+NnrX//64d8f/ehH+Xf/3X+X3//7fz8/+IM/yBe+8AX+3t/7e3zyk5/kZ37mZ04878X4vf/lv/yX+eqv/uoTP4sx8q3f+q285jWv4VWvetXw8/vvv5/3vvf/3965R0V1XX/8OwwwM7yGAAOiyEOICvjkoTBCkLSBoAHNSlCoKAIN9ZGsaCNJtRGjTYiPmK40xUdMJNbgWipJSC0GIqmuAhKwglGDKbaiIkIQgRkew2Ng//7Ij7u4zACDjgKZ81lrFtzvOfecve++czb3nnMv7/LqTpw4UaPNseBnQ0MDduzYAWdnZ8yePRvnzp3TWu/OnTt46qmnIJVKkZaWhtbWVrz33nu4cuUKSktLYWpqytXV9TwdSZuPw8/29nYkJCQgICAAa9asgb29PYqLi7Ft2zZ8++23+Oc//wmBQMDb55lnnsGqVat42ty5c3nbra2tCA0NhUKhwJYtW2BiYoI///nPCAkJwaVLl2Bra/tY/exD3+OOXuNJBkZJSQkBoD179nCaSqUid3d3CgwMHEXLdKOoqIg6Ozt5WmVlJYlEIlqxYgWnxcfHk7m5+bDt3blzh0xMTGj9+vWc1tvbS8HBweTk5ERqtVp/xo+As2fPEgA6efLkkPUiIiLI0dGRFAoFpx06dIgAUF5eHqeNp7gXFBQQAHrnnXc4LSQkhLy9vYfdd6z42dHRQbW1tUREdOHCBQJAGRkZGvXWrl1LEomEbt26xWlnzpwhAHTw4EFOG8l5qmub+kAXPzs7O6moqEhj3+3btxMAOnPmDE8HwPNzMHbt2kUAqLS0lNOuXbtGQqGQNm/e/ADeDI6u8XwU444+42lwCS8lJYWEQiFvgCQiSktLIwB0+/btUbLs4fDx8SEfHx9uu+/EU6vVGr72Jz09nQDQDz/8wNOPHTtGAKigoOCR2TwU/ROeUqmk7u5ujToKhYKMjY0pJSWFp3d2dpKFhQUlJSVx2niK+9q1a0kgEFBVVRWn9SW87u5uamlpGXTfsejnUAOkvb09RUdHa+hTp06lX/3qV9z2SM5TXdvUN0P5qY3Lly8TAPrLX/7C0/sSXnt7O6lUqkH39/f3J39/fw09LCyM3N3dR2T7SNAl4elz3NFnPA1uDq+8vBxTp07VeEHrvHnzAPx8i2y8QUT46aefYGdnx9Pb29thZWUFqVQKGxsbrF+/XmNuq7y8HObm5vD09OTpfcejvLz80Ro/DAkJCbCysoJYLEZoaCj+/e9/c2VXrlyBWq2Gn58fbx9TU1PMmTOHZ/t4iXt3dzdOnDgBuVwOV1dXXlllZSXMzc1haWmJCRMmYOvWreju7ubVGS9+Aj/PP9XX12vED/jZ3oHx0+U8HUmbo01dXR0AaHxvAeDTTz+Fubk5JBIJvLy8cOzYMV55b28vLl++PKif//vf/9DS0vJoDB8GfY47+o6nwc3h1dbWwtHRUUPv0+7evfu4TXpoMjMzUVNTgx07dnCao6MjXn/9dfj4+KC3txe5ubnYt28fvv/+e5w7dw7Gxj+Hvra2Fg4ODhpzCKN9PExNTfHCCy9g0aJFsLOzQ0VFBd577z0EBwfj/PnzmDt3Lmpra3m29sfR0REFBQXc9niJe15eHu7fv48VK1bwdHd3d4SGhmLmzJloa2tDVlYW3n77bVRWVuL48eNcvfHiJ4Bh49fY2IjOzk6IRCKdz9ORtDna7N69G1ZWVoiIiODpcrkcy5Ytg5ubG+7evYv09HSsWLECCoUCa9euBQDOj+FiPW3atEfvyIC+9Tnu6DueBpfwVCqV1oMjFou58vHEjz/+iPXr1yMwMBDx8fGcPnBxQ0xMDKZOnYo//vGPyMrK4iaFx+rxkMvlkMvl3HZUVBRefPFFzJo1C5s3b0Zubi5n22D297d9rPo5kGPHjsHExATLli3j6Z988glve+XKlUhOTsahQ4ewceNGBAQEABg/fgIYNn59dUQikc5+jaTN0SQtLQ35+fnYt28frK2teWVFRUW87cTERPj6+mLLli1YvXo1JBKJzn4+bvQ97ug7ngZ3S1MikaCzs1ND71seLJFIHrdJD0xdXR0WL14MqVSKrKwsCIXCIetv3LgRRkZGyM/P57TxdDw8PDywZMkSnD17Fj09PZxtg9nf3/bx4Gdrayu++uorhIeH67TC7rXXXgOAcRvP4eLXv46ufo2kzdHi+PHjePPNN5GUlMRdsQ2FqakpXn75ZTQ3N+PixYsAxoeffTzMuKNvPw0u4Tk6OnKXyf3p07Qt8x6LKBQKREREoLm5Gbm5uTrZLZFIYGtri8bGRk5zdHREXV0daMA7xMfq8Zg8eTK6urrQ1tbG3eYYLJ79bR8Pcc/OzkZ7e7vG7czBmDx5MgBoxHOs+9nHcPGzsbHh/nLX9TwdSZujwZkzZ7Bq1SosXrwYBw4c0Hm/gbHu82M8xPphxh19x9PgEt6cOXNQWVkJpVLJ00tKSrjysU5HRwciIyNRWVmJf/zjH/Dy8tJpv5aWFjQ0NEAmk3HanDlz0N7ejmvXrvHqjtXjcePGDYjFYlhYWGDGjBkwNjbmLWQBgK6uLly6dIln+3iIe2ZmJiwsLBAVFaVT/b4HjAfGc6z72cekSZMgk8k04gcApaWlGvHT5TwdSZuPm5KSEjz//PPw8/PDiRMnuPksXRgYayMjI8ycOVOrnyUlJZgyZQosLS31Y/hD8jDjjt7jOaI1nb8AvvvuO43nlDo6OsjDw4Pmz58/ipbphlqtpqioKDI2NqacnBytdVQqFSmVSg09JSWFANAXX3zBadXV1YM+DzNp0qRRew6vvr5eQ7t06RKZmJhQVFQUpz377LPk6OjI8/fjjz8mAPT1119z2liPe319PRkbG9PKlSs1yhQKBXV0dPC03t5eWr58OQGgixcvcvpY9HOoZexr1qwhiUTCe1wiPz+fAND+/fs5bSTnqa5t6puh/KyoqCBbW1vy9vamxsbGQdvQdt4rlUpyd3cnOzs73jO4O3fuJAB04cIFTvvxxx9JKBTSG2+88XDODMFgfj6qcUef8TS4RSvz589HdHQ0Nm/ejPr6enh4eODIkSO4efOmxsKAschrr72Gv//974iMjERjYyM+++wzXnlcXBzq6uowd+5cxMbGcq/0ycvLw+nTp/Hss89iyZIlXH0nJyds2LABe/bsQXd3N/z9/ZGdnY2CggJkZmYOOy/4qFi+fDkkEgnkcjns7e1RUVGBjz76CGZmZrxXLL3zzjuQy+UICQlBcnIy7ty5g7179yIsLIz32q2xHvfjx49DrVZrvZ1ZVlaG2NhYxMbGwsPDAyqVCl9++SWKioqQnJwMHx8fru5Y8vOvf/0rmpubuRV3p06dwp07dwAAr7zyCqRSKbZs2YKTJ08iNDQUr776KlpbW7Fnzx7MnDkTCQkJXFsjOU91bfNx+WlkZITw8HA0NTUhJSUFOTk5vP3d3d0RGBgIAEhPT0d2djYiIyPh7OyM2tpaHD58GLdv38bRo0d5bxVZt24dDh06hMWLF2PTpk0wMTHB+++/DwcHB25+93H62dTU9EjGHb3Gc0Tp8ReCSqWiTZs20YQJE0gkEpG/vz/l5uaOtlk6ERISQgAG/RARNTU1UVxcHHl4eJCZmRmJRCLy9vamtLQ06urq0mizp6eH0tLSyMXFhUxNTcnb25s+++yzx+0ajw8++IDmzZtHNjY2ZGxsTI6OjhQXF0fXr1/XqFtQUEByuZzEYjHJZDJav3691r80x3LcAwICyN7eXusV9Y0bNyg6OppcXV1JLBaTmZkZ+fr60oEDB6i3t1ej/ljx08XFZdDztP9D9VevXqWwsDAyMzMja2trWrFiBdXV1Wm0N5LzVNc2H4efVVVVQ35n4+Pjuba++eYbeuaZZ2jChAlkYmJC1tbWFBYWRt9++63Wvqurq+nFF18kKysrsrCwoOeee07rd+Rx+Pkoxx19xZP9x3MGg8FgGAQGt2iFwWAwGIYJS3gMBoPBMAhYwmMwGAyGQcASHoPBYDAMApbwGAwGg2EQsITHYDAYDIOAJTwGg8FgGAQs4TEYDAbDIGAJj8FgMBgGAUt4DAaDwTAIWMJjMBjjgs7OTiQmJsLZ2RlWVlYICAhAcXHxaJvFGEewhMdgMMYFarUarq6uKCwsRHNzMzZs2IDIyEi0traOtmmMcQJLeAzGELz11lsQCAQ87dNPP4VAIMDNmzdHxyg9s3v3bkyfPh29vb2jbcqQmJubIzU1Fc7OzjAyMkJMTAxMTU3xn//8h6tz4MABODs7o7OzcxQtZYxVWMJjjEn6koq2/3TM0B9KpRK7du3CG2+8ASMjI5w4cQICgQBffvmlRt3Zs2dDIBDg7NmzGmXOzs6Qy+Uaem9vL2QyGXbv3q13269fv47GxkZ4eHhw2urVq9HV1YWDBw/qvT/G+IclPAZjhKxcuRIqlQouLi6jbcpDc/jwYajVasTGxgIAgoKCAACFhYW8ekqlElevXoWxsTGKiop4ZdXV1aiurub27U9paSkaGhqwePFivdqtUqkQFxeHzZs3QyqVcrpYLEZ8fDzef/99sP98xhgIS3iMcUtbW9sDlT0sQqEQYrFY41bneCQjIwNRUVEQi8UAgIkTJ8LNzU0j4RUXF4OIEB0drVHWt60t4Z0+fRouLi7w9vbWm83d3d2Ijo6Gh4cHUlNTNcqXLVuGW7duab0SZRg2LOExxgV9c2kVFRX4zW9+gyeeeIIbYIcqu3XrFtatW4dp06ZBIpHA1tYW0dHRWuffCgsL4e/vD7FYDHd390Fviw2cwxtJH322/ve//8Xq1athbW0NqVSKhIQEtLe38+rW1NQgKSkJEydOhEgkgpubG9auXYuuri5encTERDg4OEAkEsHb2xuHDx/W6ZhWVVXh8uXL+PWvf83Tg4KCUF5eDpVKxWlFRUXw9vZGREQEvvvuO958X1FREQQCARYsWKDRR05ODnd11+d7ZWUl4uLiIJVKIZPJsHXrVhARqqursWTJElhZWWHChAnYu3evRnu9vb1YuXIlBAIBjhw5ovWPDl9fX9jY2OCrr77S6TgwDAfj0TaAwRgJ0dHRePLJJ5GWlqZxy0pb2YULF3D+/HnExMTAyckJN2/exP79+7Fw4UJUVFTAzMwMAHDlyhWEhYVBJpPhrbfeglqtxrZt2+Dg4DCsTbr20Z9ly5bBzc0N7777LsrKyvDxxx/D3t4eu3btAgDcvXsX8+bNQ3NzM5KTkzF9+nTU1NQgKysL7e3tMDU1xU8//YSAgAAIBAK8/PLLkMlk+Prrr5GUlASlUokNGzYMaff58+cBAD4+Pjw9KCgIR48eRUlJCRYuXAjg56Qml8shl8uhUChw9epVzJo1iyubPn06bG1tee3U1dWhvLwcO3bs4OnLly+Hp6cndu7ciZycHLz99tuwsbHBwYMH8fTTT2PXrl3IzMzEpk2b4O/vj6eeeorb93e/+x1qa2uRl5cHY+PBhy8fHx+NW68MBojBGINkZGQQALpw4QIREW3bto0AUGxsrEbdocra29s1tOLiYgJAf/vb3zht6dKlJBaL6datW5xWUVFBQqGQBn5N+myrqqoaUR/9bU1MTOTpzz//PNna2nLbq1atIiMjI87//vT29hIRUVJSEjk6OlJDQwOvPCYmhqRSqVa7+vPmm28SAGppaeHpP/zwAwGgP/3pT0RE1N3dTebm5nTkyBEiInJwcKD09HQiIlIqlSQUCumll17SaP+TTz4hiUTC2dHne3JyMldHrVaTk5MTCQQC2rlzJ6c3NTWRRCKh+Ph4Trt58yYBILFYTObm5tznX//6l0bfycnJJJFIhvSfYXiwW5qMccWaNWtGVCaRSLjfu7u7cf/+fXh4eMDa2hplZWUAgJ6eHuTl5WHp0qVwdnbm6nt6eiI8PHxYm3TpYzhbg4ODcf/+fSiVSvT29iI7OxuRkZHw8/PT2FcgEICI8PnnnyMyMhJEhIaGBu4THh4OhUIxaN993L9/H8bGxrCwsODpnp6esLW15ebmvv/+e7S1tXGrMOVyOXf1VFxcjJ6enkHn70JDQ3nHBwB++9vfcr8LhUL4+fmBiJCUlMTp1tbWmDZtGm7cuMFpLi4uICKoVCq0trZyn+DgYI2+n3jiCahUKo3bxAzDhiU8xrjCzc1tRGUqlQqpqamYPHkyRCIR7OzsIJPJ0NzcDIVCAQC4d+8eVCoVnnzySY39p02bNqxNuvQxkP6JFfh5gAaApqYm3Lt3D0qlEjNmzBi0z3v37qG5uRkfffQRZDIZ75OQkAAAqK+vH9Z2bQgEAsjlcm6urqioCPb29tzy//4Jr+/nwITX3d2NM2fOaF2dOdB3qVQKsVgMOzs7Db2pqemBfKD/v6X9S1hYxNAfbA6PMa4YeLUwXNkrr7yCjIwMbNiwAYGBgZBKpRAIBIiJidHbg9YP0odQKNSqk45L6fvajYuLQ3x8vNY6fXNsg2Frawu1Wo2WlhZYWlryyoKCgnDq1ClcuXKFm7/rQy6XIyUlBTU1NSgsLMTEiRMxZcoU3v6FhYVQKpVYtGiRRr/afH/Y4zGQpqYmmJmZDXm+MAwPlvAYv2iysrIQHx/PW/HX0dGB5uZmblsmk0EikeD69esa+/d/i8fD9DESZDIZrKyscPXq1SHrWFpaoqenR2OVpa5Mnz4dwM+rNQcmx/7P4xUVFfEWwPj6+kIkEuHcuXMoKSnRmtRycnLg5eUFV1fXB7LtYamqqoKnp+eo9M0Yu7BbmoxfNEKhUOMq4cMPP0RPTw+vTnh4OLKzs3H79m1Ov3btGvLy8vTSx0gwMjLC0qVLcerUKa1vmiEiCIVCvPDCC/j888+1JsZ79+4N209gYCAAaO3Dz88PYrEYmZmZqKmp4V3hiUQi+Pj4ID09HW1tbYPO3+n7YfORUFZWpvXNLwzDhl3hMX7RPPfcczh69CikUim8vLxQXFyM/Px8jSX027dvR25uLoKDg7Fu3Tqo1Wp8+OGH8Pb2xuXLl/XSx0hIS0vDN998g5CQECQnJ8PT0xO1tbU4efIkCgsLYW1tjZ07d+Ls2bOYP38+XnrpJXh5eaGxsRFlZWXIz89HY2PjkH1MmTIFM2bMQH5+PhITE3llpqam8Pf3R0FBAUQiEXx9fXnlcrmcu6IdmPCqqqpw7do17N+//4H9fxguXryIxsZGLFmyZFT6Z4xdWMJj/KL54IMPIBQKkZmZiY6ODixYsAD5+fkaqy9nzZqFvLw8/P73v0dqaiqcnJywfft21NbWDpvwdO1jJEyaNAklJSXYunUrMjMzoVQqMWnSJERERHDP9Tk4OKC0tBQ7duzAF198gX379sHW1hbe3t7c83zDkZiYiNTUVKhUKo35rqCgIBQUFHC3MPuzYMEC7N27F5aWlpg9ezav7PTp05BKpVofRH8cnDx5Es7Oznj66adHpX/G2EVADzorzGAwxj0KhQJTpkzB7t27eY8FPAyLFi2ChYUFTpw4oZf2RkJnZydcXV3xhz/8Aa+++upj758xtmFzeAyGASOVSvH6669jz549elu1unDhQmzcuFEvbY2UjIwMmJiYDPm8JsNwYVd4DAaDwTAI2BUeg8FgMAwClvAYDAaDYRCwhMdgMBgMg4AlPAaDwWAYBCzhMRgMBsMgYAmPwWAwGAYBS3gMBoPBMAhYwmMwGAyGQcASHoPBYDAMApbwGAwGg2EQsITHYDAYDIPg/wA8OnksuhSNVwAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -353,7 +354,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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kK1/5CuPj42zevJlnP/vZ/Pf//t+Xe30ej2dA6Vtl2SIP3auALIX0RC+YFTylDZkOkEqSFIKxqvWWzHvpTQK7T5amEt1rAG9nIPMMEYRIqSmkZCaXlENBJQoIRIlypMHARKNLM0kZqVY5dpNhOrbFL8bYdebK+lt2tKEUGrRRdJKCMgVxZkArOuUQpcqr+6R6lsySRW7btm0cd9xxPOEJT+AJT3jCvGNSSnbt2sXJJ5+8bAv0eDyDi9uTk73UpDH9CQPOgFlpYyskUXRySTkK0MaKnDJi1nQ5iiIqFUUgNFpEDFUM7SJAKU0pNMhAUAoEGE0nzUEUGBPSjSNaSZuJTkZIzp6pMsdtttWaURhQCTWagLZWjEQRKgyJAoFShjgHjKKVKsJyMeu64hkcllx48shHPnK/riY//elPeeQjH/mwF+XxeAafuYUn2syvrDTGjrRJc0le2GZtbXqelEFgG7BT2+itlEJrTa0kGK4IylHAWMWmPqMoIAhDSpUKw7USw5Uy5SiiHEbkKiDJNXGeMdnp0k5TmmlOPc6YbEmiKGJ4qEI7VtRbGXHaRWkrti7ajIQiLjSYAtlzRvEMFkuO5A6Uk3YNmh6P5/BhMa0BC13H9bLlylpxZdIQhQFBAIUK0D3Ry6UmQNNJbRQnwFpwGWuyLITtpdMiwpiUbmqrLIcrIS0CQiGJhKCbSaQRlAODFFAKFJVeVBiEJUoUTMddSkGZsaEyQa1CKzF00y5TXUU3zzBaMRwFpIWEMCdNY3KlSCQcvR4Qvn1g0DioPbmF/tCzLONrX/vaPmN4PB7PYDN330yIxYmdKzjJFAij6BaCSmgIgqBXbmKsl6UxhChSab0prYjYyshCGUJTEGeCIs8QYYk4yWh1Fd1YMjoybBvDdRmlJa00p5OlRCJgqBwQhRUiUdDICkyWERcFWsL2bIZqZEizEUqlGmlW0Epi4jwl1Ipapcx0J4NUUo/bCKASVkgz5QtPBpBFidx1113HO9/5TsD+ce+9FzeXP/7jP16elXk8nkPGgaI1VyXp0AYC5p/vUpNg04iBAIWgFGiaGZQCjdSCktEobcv/hdEgQoyRGAPGQDUEKRX1rk1PxrkmVQFdKdkwWkJKRaYkodFsDAxpIYhIGW+m7JzYyd31jI1lOG7jOoYrI0ykXRIJXSVpN6HRhqisicIWJ4UlhoqevZgsKEyAKjLqSYfGdBsdBKRKIyWUww6dXHPSxpDN60cO5UvjeZgsSuQe//jH89rXvhZjDB/5yEd4/vOfzzHHHDPvnEqlwmMf+1he/OIXr8hCPR7PyrFQT5vDtQYY0++DU9qKnBEQhba8flYI3T6ctsbKldAQFzBasYUkquclmUlDICT1WFHrmS6nuW267iQ5rSAkNAWSiDxNUYSUQgiMIZcJU03BhpEqE40Od+3ew4/vzYibsGcdCN1k06YKzXab6VixezcUGSgDowEUqkDnOYWx9l+dLKaZGygMKm+TpDBa04zWyhiVc/8u6Kg6P32gymNOPeWQvS6eh8+iRO5Zz3oWz3rWswBr3XX11Vf7AhOP5zBC0B9tM3dw6bxz5vXB9XrYDISBsRME5lzNGi3b/TZtBCMVgTJAr4ikXIqIRMBMV2Jkxq4ObBwKUEZYZ5FcM1ILQEQoadCEqCKjnWq0VrTTgnrcZPfUJPdMNhmfgaINbaCWwlQLKpUmUy3Fzt0wnkIMnFKG9UNQjmA6bpMlBa0EHtgGI+tgOIBwGGQMOXDiphJ5HBCplHYX4iRewVfBsxIseU9uf2N00jSlWq0+7AV5PJ5Dj3Xxh8XuOIWBmK2czApbiu/Smm6vTWnTaweAIBAIY2anBQghEEFAiGI6hkqo6eaCQkqKPCcAjAkZqwZ0kpw4TsgMVIWik8Y8MDlFkhuSBOLUfpUqcHIEhYC8gF31jOkp2JPC1t66N+cQ1KCTw87pgiSBZgeaCmQXykMwVIY0hrACjW5CHms6TZAFVMN8hV4Bz0qx5FKhL3zhC3zkIx+Z/f3ee+/lrLPOYnh4mAsvvJB6vb6sC/R4PCuPs+IKFlc8OdvnZhCzrQG5tCNxMmkLTGrlkCgMKEf2qxSK2YndWmsKZaPH0OQ02zlGZggMcapIMjsupx4rZF7QlhqtCmaSnGZqhaYwgIAghA1jsGkzRENQLkEngfEJ2N2F6Tnrnga2bYWJ3dCsQ70OcQF1oJ5Bqw4zLWhMwZ7dcNfdmh/eC/cA3RymksUPfvWsDZYscjfccAPdbnf29z/7sz+jXq/z+te/njvvvJP3vOc9y7pAj8ez8jjRWkoLkHUvEbOFJm5GnNZ2aGkUBtabUmniTJLmEm2gkIp6O2HXdIc4SUlSSSY17W5OnEryPKOT5bS7GZ1OylSrze6pCX619UF+tX0HU9N1cmUYDWFdzc56C4DmHrhvHKamoduGOIEmMLd/exz4kYKJFoTGpiTdIzbAncC2cfiVgTvb8MMY7tUwA7QkswOiPYPDktOV999//+ykgTRN+fd//3duvPFGXvrSl/KYxzyGG264gfe///3LvlCPx7Oy7F0huZDgza3CBCuOLiVps5RmnptJoQydJCeVEGLTmo1YkmUZrViBVrTjmFhBN5aMVCt0pSRUBZOJQMmMB6an2NOG1hQMjYHRcPQGSCRkGUxOQiuFXwNDQAvYDHSxIlcs8Fh/BZyRQhkrdEPAZO/Yvb3v3b2u0wQi30EwcCxZ5OI4Znh4GIDvfe97ZFk2W5Ry1llnsXPnzuVdocfjOSTMrZAUc6os5wrbguN0Zk2YbdqyWrICqY0tZMlVTxSN3QsrCcXOepdWJhmOQBlDNytQWcx0mhBoRaoDRkqwo52yq26jsnoHTAAlYCqCtAHt3KYRt/cegysLaWGjtgMlF3cCm7CRXgGkD/H8dLGC6BkslpyuPO6447jjjjsA+Ld/+zce85jHcNRRRwFQr9cZGhpa0u21223e8pa38PSnP52jjjoKIQTXXnvtPue9/OUvnx13P/frjDPOWOpD8HgOCxaa17aYY/u7LWNsk3YgrGgV0tpuZYXaJ4ILxPzROtowO+DUYP0js7ygmyk2DgUMV0uMVCNGynYPLApDaqUILUJqUUggoJ1nPLhnil/srjM+Ps2du6aZaXRRMUQC1pVtFNduwcQuuLdjRTNnfrS2kYcWOLCVmFPArt73xTC92BM9a4YlR3LPe97z+PM//3Nuu+02vva1r/HWt7519tjPfvYzTj311CXd3vT0NB//+Mc599xz+d3f/V3+/u//fr/n1mo1vvWtb+1zmcdzJHKg3rYDHTvQbRkEUW8cjtT9ETl29hsgxDxxiwJm7bvKIeQEVCLr6p8UBiklqYHhisEYa+lVDqEU2QhspAyNbkacZcRdm7Zsz0ArgKQFGSByWL/JVkw2chutZdpGYDH9SMyxYwnPYWcJ5wLcs3uJV/CsOksWuXe96110Oh3+67/+ixe/+MW85S1vmT12yy238NSnPnVJt3fKKadQr9cRQjA1NXVAkQuC4IBuKx7PkcTeQ0oXe2wuLkIT2LSjEzSAUBhEYC+b0+c9e71c9c2Xw8C2BNRCN1VA2YGjhfWZ7GQ2ytMGoigiLJUZHTKoPGG8KylkRjOHQEGnAxOZLfsPgWOAzpSNtlrAGPaNy4nbUoXq4XD3Ibwvz/KwZJGr1WrceOONCx67/fbbl7wAb+js8Rwcew8pXeyxucyN4Ephv8/NIOw0AAxxrglQSGFbAcLANna7HjltoFqyLQJZYUfYuAGjpVBgtCLLJEUQEAlNFIYMlQPCwLCrmZG0m9w7nVDEkEuYzOBB+sI61fuSvd83YPfHAg6twIGNLD2DxcOy1L7rrrv4zne+M6+lYCVJkoRjjz2WMAw58cQTed3rXsfMzMxDXi/LMlqt1rwvj8czf49tbhuBawfopLb0v5PZHS6bmBR21pu2+34CW3CSFpokK5hq57STgiQrSHJFkiukhkILksKACKhGECcF9Xab3d2EyT1w/wTcOQN76AucAEaxRSGjWIEzWHF76P/85Sdchfv0PDwOagrB//2//5errrqK3bttgvoHP/gB559/Pr//+7/P0572NF796lcv6yIBzj33XM4999zZ9oXbbruNv/7rv+ab3/wmP/jBDxgZ2b9p6vXXX89111237GvyeFaDpY6+Wej8/bULaK1nC1bcZU7IlFK9opRg9jZc2jJA0k4VSVYQBAEBAUmuiDNJIRWVyN5HmuUopdk902DnTIudzTY7tsGu1KYiE6ywlYH1WFHp9H4PgZHeOe3lejKXSLJK9+s5eJYscl/84hd5+ctfzrOf/Wye9axnccUVV8weO//88/nHf/zHFRG5N77xjfN+f9rTnsZ/+2//jec///n83d/93T7H53LllVfypje9afb3VqvFSSedtOxr9HgOBUspKnFz3QIBmn4K07ULWOcRQSWy6clCuT06K4rlKEBrTVZo6p2Mcili3VAJgHZSIJWmEgnauXUvCYKASrmEUTlpLpmut0gLSRAIymGE1ppdzS4PTu5hx4S2kwEyG5V1gCr2TakDTOz1WFosvgrS43EsWeSuv/56XvGKV/B//s//QSk1T+TOPPNM/uZv/mZZF3ggnvvc5zI8PPyQe4GVSoVKpXKIVuXxrCyLLSqB+SX+pTmbE4EAZTRpYUVK6pDQ2JYBYwyVUogxgLCelHGuaSeSdUPCzndThk6ckinBaMXGdkoqogBqkaGeWWeTbmGQUtPNYtqppmRyZtIuD2zXTDdtZDROv7/tQL1qvkfNczAseU/u17/+NS984QsXPLZx40amp6cXPLZSGGN98jyeI4XFWnC5dCLYUn9XDOJuAxFQLfWiN20FLwgCNIFNLRaavJCkhSYUxhaLCOtRWRQFzdRQCgxJYb9yZcfnjLcKhC7oJIr1FYGRGTNJgVAJE1lGI1GUSrapu0Ff4DyelWDJkdzQ0BDNZnPBYzt37mTDhg0Pe1GL5eabbyaOY99W4DliONB+3Nx9tkDYcTezQ017xwsNpV71hGDOuUpTSOvyGAqQCowqGG8VoCVhIKiUSgTC9r5NtXNqgaKTBgyVIJUQpzlpqogCjRYRlVCTqQhJwEgoua/eRSbQiaHVsJGZFzjPSrNkkfut3/otPvzhD/N7v/d7+xz71Kc+xSWXXLLkRXzta1+j2+3Sbtvt5F/96lfcfPPNAPz2b/82k5OTvPjFL+aFL3whp512GkIIbrvtNj74wQ/yG7/xG34aueeI4UD7cc5WKxCge03bronbVkDa3rdCBWA0yggEEIWBbRMQgkILyoFNNU61JXGakyuoRIKqUWRZRlwIAp3RUSUqYU5DlhA6J0k1UmbMpJIgsC4lSVGwa3qC7Y0CJEw2oNGye27bDvFztxz4nNHgIcxifX96/PCHP+RJT3rS7BTwN7/5zVx55ZX89Kc/5Zvf/Cbf//73ZysgF8sjHvEItm7duuCxBx54gHXr1vGqV72Kn/zkJ4yPj6OU4pRTTuG5z30uV111FevWrVvS/bVaLdatW0ez2WRsbGxJ1/V4VpP9RXLG2DSiq4p09lru37tQxqYae4JVKHue0cruu2FH5GitkRqUUnRSSTvO7P1oSVxAkUuiEFqJYrgskEpQqwhmOjlCF3SlpshTUi3I0y7Tac7uqZSka5u8O5l1JFk4FzQYPPiXv7PaSxgoVvv9dskiB7BlyxZe+9rXctddd81edvrpp/Oxj33soCK5Q81qP+kez3LiKigFZraHzSBmC1PcMRflCdHrczPCDjilL4KFsm8HeSFJsoLJZkIpCsFo4tyQZzlZoRBGkkpDNYJMCbI0pqkEY5Fiqp3SLgra3Q7tDCYmIO5CW9k9uMmFH8ZAMAL8wovckljt99uD6pO79NJL+fWvf819993H+Pg4mzdv5tGPfvRyr83j8SwCZ8slNVQiK3Bg99kMglDYBuxQS5uODA1BEGJ6vQJJbh1K6Ikj2poytxJJoQyZVERCIQuNksoKpgnIZE6uA1Te5cGZLlp22CYDogAkhlYMnS6gIVXWhmuQBQ4OvcOK5+FzUCLnOPXUU5dsyOzxeJaXQIBCEAW9SdtC96I0QxAIlBFEwjqSSKUpBJRLxg47DQICYVsHusqwvhYwlWiktIUo2vREzwik1HSKAiM1ucpJpZ0LN9VOaKQpzRi01IQlO3ctLNkIrt61M9p8C4BnNTgokcuyjG984xts3bqVNJ3f2SKEOGBjtsfjeXjsvS9n04+GTFqByxQEwu6vaWNd/zPZG2KqBQGaQlnf/moE3cxGbZVIMBNHlIVkqpOSphnDtTLGhGSFZibuUk9TtNRopUiVZLoTEycF3RxkAnEG1bLde2t3YY+2o2w8ntViySL3ox/9iMsuu4zx8fEFZ1V5kfN4VhZXYam0QQgwWpEUhgCNxPaypdKmMEuRbSXolaFQjUApezwQMNNVdJKcRivGGBiphQRhZFsRRESmBIFRJKkkyXNa7Q7TaU6Y59RzSNpYcQ3AGPuGUm9Cq7AmywtN5R5k/ttqL8CzZJYscq997WsZGxvjxhtv5Mwzz6RcLq/Eujwez36YHVLai+iywqpepgS1EhQKMBrZU0OB3ZMrpEIZgZTKtgsUim5S0E4kUkEhDYXS1Kqq13agydOCPJfU45R6p8t4N0GgaBWgDGS9tGQWQ6sDHWOLSw6tJcSh46T1q70Cz1JZssj98pe/5KabbuLyyy9fifV4PJ4DMG/+mzYUUpIXEoOgWgowJpjXFD7bHB7QG2Rqi0fCMEQpQykKqZUUWoIsMvIchBYEYQmBpp3m1Lsx0+0WM3FOqBUmCAgLTSohklbkJtq2qORwnyka7t8H3rNGWbLInXzyySuxDo/HM4e5+24w34PSGEPW64nLpEGZoOdqIohzjdE2YquW7OVKKdJMIoymhKKTFQghKQX2+nGmiEKBCcoIFJ1CIYqcJM9J8oJm0mWym2KUQklIck2rBQRQSGjV4Wer+mwdOk4eXe0VeJbKkkXuLW95CzfccAPPeMYzvOmxx7MfljoOZ+/ruAkBWa+3LQoDei1sSKVRys5oi4RGA8Jo0sKW73eVYKQSEIXWnyMrIM4kUoMs7Iy3PMutT6UBLSUzmUQYSaYUcZqQGUGoJd0kZ1erjSrsmnIJcQpxB+oFbOfIGj+z53DNwx7GLFnkXv7yl/Pggw9y6qmncskll7Bx48Z5x4UQfOhDH1q2BXo8g8DeojbXfitgcYKntD3PCDvjLbd92khlXUjKoR1lo7SZLSYxIqRWto3dIYq4gJGyvT5AURS04oJmJ0EZQbcTk+sArSVD1QpFntPNFUJLpIGsULSLgiQtKGRBYQSBgakYZA5JE3YUNi2pVvg5XYt8d+/5P541z5JF7itf+QrXX389RVFw00037XPci5znSGRvT8m543CWMv/NIYSgHEJa2AndUQiFEkTYyC4MBFIZypFAaUMUQC4FlQgQIUFg3UzGWwVaa8JAUKig125gr4OSSCkJhaYrJVopCqOIuwkTSYZMDWEE3Q606zCZ2LE4R3JD9JH82AeVJYvcn/3Zn3H++efzsY99jDPPPJNSqbQS6/J4Boq9Z7wJ0R9QOjeS25u9Jwc4tLYN3S7lWChDKeydEwSUhelVUEJgFLmKev1vAoEEbfvfjCrICg3GMFaBUEd0E0Wmc5qtDG0KZKFJDFSEssUpSlKkhslJu+fWTayZ8iD7TS4Xj1ntBXiWzJJF7sEHH+TLX/4y55xzzkqsx+MZSIQQfTHDzEtLHuiYNv005dyZb4VU1n8SjQhCyiEYo2knyv6MsHtyIUgdALbasRza2W6doqDRSekkkjAUDJUDmolGF4pOXjDZyojzhE6So4VmWMCOtEAWiukGNBowkdlROId7xeRSeNy5q70Cz1JZssidccYZtFqtlViLxzPQHCgtufexua0AMD+taf0i7YicwghGSrYtIM412hjiwvawARhdoLQ9v1YSJLkhzSWNbk6nmxOnBSIwdIxBi4AkS4kLSbPbYE8npRZat5R724aiC90C0g6M5zADtA/B8zZInLxx/WovwbNElixy73rXu7jqqqu48MILOfbYY1diTR7PQLJ3yvJAx5ygGQTlSMwKnjZQCgUBglTCUKnnbIKhHGjaWTG7B4cIaKZydm6cNhHCKCuGStpKyiIFo2yVJoqpdpe0KJhuJkgNU10rms1pqBuQ2GpJX1+xMFG42ivwLJUli9zHPvYx6vU6p512Guedd96C1ZX//M//vGwL9HgGhbn7cI65VZfhHPWbK3ounam03Ytz+3EjFYEIwlkRK5RBE4Aw5EqjjMFoRT3VlAIzK5JoSTeRFFoj84LJOCXPutRTCViT5q4BmUIKJClMGmjR+/3QPWUDx4OTjdVegmeJLFnkfvaznxGGIUcddRQ7d+5k586d844vtifI4zkSOFAK0xiD1L3hpca2BRRSz85/EyJkOGL2ONi+uHZuKAlFIGyfWzWCrNA044JqBK1uRr3Tod7p0EpT0iJjz0xBJqEUwnAFhkJoKOiMw3Zt992WPFjyCGRPfbVX4FkqB1V44vF4FmZvpxInTuFeOUypNEmukEpTKdlozSAQ2OGlUjNn+KmYHXQqNQhdMB0XRAGIICQSmm4qKbKcujF00oyJZpNtzTZFJoljaLVAA6PDoKogFCgNsbZ2XF7gFoeRq70Cz1J5WPPkPB7PfOZGbtDPbLjvTgSt76TdP7PTAmxvWykUdsCpkHaYqdaUS9GshZdB0M0NSW4oCsW6EUErLcjSnFaSUqicepywp9km6Ug6mRW0QoEw0O5A1oF6Am1p57x5Fk/sK3EGDi9yHs8yslCBybz+t55dl1R2KKlrzC73RFATUI4EnTRAKUU3MwyVrCVXlhcUUiGlpBIqVKGIY0WWK1pxTCNN6CYJqVQIoTHC/oPHBZQENBPItO13820BB8dUd7VX4FkqixK5MAz57ne/y+Mf/3iCIDjgvpsQAil9TO85Mtm7+GTuz1pr8kKRFppSKGyE1uuFA8DY73lhELqgFUswmk5ser6RNuoLBLQSRSgMjU5GIXO2NWboJCmdWGKwVYDCgFSQdSGV0NKwEz+h++HQ1qu9As9SWZTIXX311Zx44omzP/viEo9naRhjSAtNLm1RSaGsF6VGIAykhSZAE0URUhsKExKFmjTXJJl1LRFG0u7mJIUkTbs0c0Ve5IRhRJIWzCSSuAvVCrRjaDVgvGP73RJsY7fn4THq3/oGjkWJ3DXXXDP787XXXrtSa/F4DjuMsd6TubStARgzO/sNERAaTSsBjEQbKOvcTgxQ1m8ysq5eFIUkzXJaadqb7xYTqwwKQ7lkKKQmUr20ZBuak9ZncueBFudZMkePrfYKPEslWOoV3vnOd7Jr164Fj+3evZt3vvOdD3tRHs8g4HwnXQXlQsezQtFJJWkubWuAcMNNDUXPeqsoCrJCEaCZ7hQ0uxmTrYxmXGC0olCGNCtoxSntOKHZ6ZAWCWksKYSy3pQiIChBVIKsCffjBW4lOOWk1V6BZ6ksWeSuu+46duzYseCxXbt2cd111z3sRXk8q8VDCddcXAWl0gtfx1VROm9K10aQFYp2UtCMC+qdjHq3IC8kWS+V2c1tOjPNJVPtgna7w2SnRSuNyWVGO8uIc21H7yhodGDXuGb7Nvj1A/BfOTSW+4nxcDSwbt3Qai/Ds0SWXF15oH/+TqfjpxJ4BoaFBpsuZSzOXL/Jha7jfCmrpWDWtSTNJe2kIM0lSVaQpBIRCFQ1IsolYSAYLduUZrOT0epm7Go06WQ5AYZMSjqxph2D1lAJbXpyW2/vzY+CWTlGgbFSebWX4VkiixK5n/3sZ9xxxx2zv3/1q1/lzjvvnHdOkiR87nOf49RTT13WBXo8K4Ex1iYrELb4Y3YszgH8J9315gqjNVvuX2fucetLGdhxOGjiTFLvFqRZTiYNhYRarUyWS+qtDKM1taEKw5WAOFc0OilT7Q57Gg1SVRAQUOoNRu20IE1ttd8EfgzOoeDoYagND6/2MjxLZFEi9+Uvf3k2DSmE2O++W61W45Of/OTyrc7jWQGcwFmvR0EkrG/kXOHaH/ubJuCuq7RBa00qNRjrQVktBaS5Yrqd0eqmGGOoliPGqhFhGNJB0eoUdNKcWp4yE0Qopai3GtzX7KLSHBMGREYx3oHxXTCl7IQA7zK1/ETYqedlIJtz+fqNMFyprM6iPAfNokTuT/7kT3j2s5+NMYbHP/7xfPKTn+Tss8+ed06lUuHUU0+lVqutyEI9nuWiP7HbOozsL0W5UDpTMMdyyzAbDSoDQtjjWaHoZgqlFAJDo2PIsoxGV1IUiqFqRBQGCNGfJaeNIVcZM52MAEUj7vDAhERlYARUS5pmG/Y07X7bNFAc6ifuMGME21ZhmG9rJuccc9SADSNw9IaRQ7dAz7KwKJErl8s87nGPA2DLli2cf/75jI6OrujCPJ6VwJh+gUgpFPMHmu4Vwc0tKIlCu68mdT8VqXvHVK+oRCnb6J3lBVJab8pCWsHrdtOeiGrSHOtcogxSavIiJ8sLumnKnmaLmbak2YEisUUlJQFt0x+B48Xt4RMAVWy0ljJf0CKs6NlRtJaTsKYY1Yrfkxs0FiVyxx57LBdffDHPf/7z+d3f/V0vcJ6BRZt9/ST3NyJnrsjZUhDbAiC1saLWmyAQBvYrLazxsm361oQoGmlBp92lU2iGowDKFTDQjQu6aUJc5ORSgjHsqTfY09DMzAC6t+cGdA1MHdqn6bBHYyNiCexdL1npfTkHrypW8MqBfX09g8WiWgi+9KUvceKJJ3LVVVdx4okncuGFF/KhD32Ibdu2rfT6PJ5lw0Vxxpj9FpY4XMm/+xKY2f22XGqyQvV/LyStbkqe5xRFgdbaOpxIKJcilCgxVi2TaoiEIs9y4jRhvNngzh27ueOBPfz43nF2jGtmpiCLrcAZY6MML3ArgzMfXCiKm2tMKHqXh2FEVqhDtDrPcrEokbv88sv51Kc+xcTEBLfccgtnnnkm7373u3nkIx/J4x//eN73vvdx773ez9yzdnHFJmAjtwNZ02ltzZMLqWb9JKWUs+ImMHQzezyXmm6mmO4qCi0IwogoigjQpLkkQHPUWEQYRVQCQyfRSKWIi4KdzTbbJhT3bYUd4zDThDiF1Ngp3TuwriWeQ4fE7r/NbYRKsIUoQoTe0nAAWVIzeBRFPPOZz+TjH/84e/bs4etf/zoXXHABH/zgB3nMYx7Dueeey7ve9S5++ctfrtR6PZ4lM7+a8sDtAUob8t7g0rTQxLmN3Lq5mXUwSXKFlrltB0hT4kwSmZwkK0DlYDTSBKwbKpFKIIioRIZUaurdDrtmpnhwapr6TEG7BVJCK4U8swUsMbAVW1ziOfS4WO1YegUnwFAJRqsVhqu+D3jQEGYx1g4PgTGG73znO9x88818+ctfZseOHSi1dsP6VqvFunXraDabjI15M7rDmbkCZxCzxSb7Oy8QtigkLTRSytk9vHJonfwxGoMgzuSs6fLG4YhUQiUSZNJQjgLQklaqaXe6ZIXAqIJOLplqNvj1+AT1aegkICS0EsiNnQ4wje95WwsIbPP3scBwACceDxf+xkk86eyTOf6o9au7uAFjtd9vl2WenBCCJz3pSTzpSU/igx/8ID/4wQ+W42Y9noPGlf+7/TfXLiCE2Kc1YDaVabQdTGqMHV5KNHtuFAXUAkPWKy4JjKSdC4ZCSbcoMRwpOhkUeUbHCEJhyPKCyWZKgCLPc6babX6xrcF0AxotGK5AJiEw1mfSz+NcOxjsm+P6KmxaD+tHoVoO95nw7ln7HLTITUxMsHXrVpIkmXe5EIILL7zwYS/M4zkY5oobWEESwrr5ayMQRs+2AWgEaDudO0CjCWYbuKMAaiVBnBvKob3tUigoehUJyggioekUAccNaRIZYFTGVDMj752USkmapjTTlEanzfZ6yo49kOY2JdbMbGFJGy9wa4Xj6A+UNUCooShgpgvdNEf64sqBY8kit3v3bv7oj/6ILVu27HPMGFtSvZZTlZ7Dl7kpR2Ns07ag50TSa/R2Aqe0IRA23WiMIVVQLdnjtqLSNXhbB0qtNanqV2jmygrdSNkw3lYMR4rpdk43zejmGUWR00lz2t0OM0nG+ARMTsMubG+W6n1NruYT5pmlBBwFbO79nAObsH8PUw0YUdDJ81k/Us/gsGSRe93rXsdPfvIT3vve93LOOedQ8TY3njXA3L0318oUCit0IbavTRvTe5MSdu9NGbSSJLmyDd8iohSFBIGYnQMHVui0trdvlCJXgvVD0ezenCwyts1k5EVBkac0uzETjQZxLmknEHdg17Q1UG7SFzjP6lPFfhAaAY4B1q2HYQn1jq3KS6U9nudgdLGo6RSetcWSRe62227jhhtu4BWveMVKrMfjOSjmWnUFwqYsC2V69lmCIAgwveZtrW31pFK27F8TIIShlWpGq4Iw6Kc8S2FAKRQkOQRG0kgVQyUoVECtBLLImal3GG+1MBjiNKdb5OxuSDIJqgNTbRux+aht7RBh2wVc4/cwUK1BNYCutJeVy1ApQa6gVoJGqunE6Wou23MQLFnkhBCcdJKfHOhZO8y16ooCcP26bqKA0BolxGwLgZvSneSKQEBJWGf/SGg6qU13CgzKCGolgS6ViAKYye2g051tRa0S0Qlgqpmzp9lmvNNFFhmdLKebGbptyFOYiW2vm28HWFschU0bR1hBSwAlINNQqwEahkftKKOyhEJArRTSyVdz1Z6DYcki94IXvIBbbrmFpz71qSuxHo9nycw1WAZmU5GCvqEyKJQRBNhG704qCQRUSiGEJcYiQyeVKKURRtHJoRpBnBq0TkhziVKKONPkuaTTlrRziZEpU3GHOOkwPq1JEmi1QWjYpazAea/JtUcJ2yKwrgyiDGls+/5LIRQahmtQrQDSGm+XA6hEAZtHlqUg3XMIWdQr9uMf/3j259///d/n1a9+NVprLrvsMjZt2rTP+eeff/6iF9But3nXu97FHXfcwU9+8hOmpqa45ppruPbaaxdcx1ve8hZuv/12oijiyU9+MjfccAOPetSjFn1/nsMHV0lpo66eoKm5Dd8CqaEc2pRTFFinkqywbiWlUJAVtr8tV/Y6QShIckE1MiS5Ii8kjVZGkkuqJZv6zPKEHa2ESBc0k5xUFXQzjQK6BUwXtiUgO/DyPavICFCOoFSDMIRCwugYqAzKJUhy62kpgSyDyghUohJjI34y+KCxKJH7zd/8zXkNtMYYPvzhD/O3f/u38847mOrK6elpPv7xj3Puuefyu7/7u/z93//9gufdeeedXHLJJZx33nn84z/+I2macvXVV3PhhRdyxx13cNRRRy36Pj2Dz0IuJq5xe+6ct1JgUCagEmqSwsz6SkZhAMIWoCSFmfc3Ww4hKzRJmtHtZrSTjDAUSF0iQrKzGdOOmzSTnEJpkLZysj5jI7edq/e0eBaBmy4gJUw07esdiF6hibbWakEKyRDUQpu+rAxBJYAgWJJJlGcNsCiR+8QnPrFinm2nnHIK9XodIQRTU1P7Fbmrr76aSqXCLbfcMts1/7jHPY7TTz+dG264gfe+970rsj7P2mOuwM0dfRMGfWsu6PW1KXrtAAJj9KzxcikwtFNJolSvxcBO8QZQSjPdKchSRTdXtmhcG5RO2NlJqTenGU8kprCVdzt3w2QC963aM+JZCjX6Fa4NoKJs6lICUQUqGQQjEPZ+Fwo2DAUEURkp5f5v2LMmWZTIvfzlL1+xBSxGPKWU3HLLLbz0pS+dZwtzyimncOmll/LlL3/Zi9xhzN4OJe5nNTu81KBt3hKl++4liIAAjdIhwihyacgLSRAEpNI2fecKgkBQDjRZYTAyY9d0SpKmdqipMSitaWc5k+0WM3FMJzYIDRO7YTqDB7FN3Z7BIMUKXbUCtcIWm5RDiJsQRVCK7HeZ23M3bISNw2NsGBq21m6egWJRIvfhD3+YJz/5yZx11lkrvZ4Fue+++0iShHPOOWefY+eccw5f//rXSdOUarW6CqvzrCRzG7ztEIF+JaUxBo3AGCtucW/8Tb/wRFEoQ7VkIzitJDNdyWhF2MhP2F46YSTNxFArCSZbtqAklwohDFmW00w6jDc7TLdAS4hjmG7BA/RnjnkGhxFsujLLYLgKx2/oTX5oAMamLZMMsgLGAggCGIkMYRBQEr7DcdBYlMj9z//5PxFCsHnzZi655BIuvfRSLr30Uh7zmMes9PoAu28HsHHjxn2Obdy4EWMM9Xqd4447bsHrZ1lGlvXLAFqt1sos1LNszB1a2u9/o9e/Zu26ZgdYGj27rxaFQS/6stMEBIZ6LhgqQSeHsWpApgRjFWinCqk0uYIs6bJ9QoJMKIUBnUKS5TG72zGTzYy0N+MtzqCdwr3MnznmGRxKWJGr1mB0A4RDUM2gSG3kVoS9dKaCqQyGarC7knBinqMIV3fxniWzKJH79re/zZYtW7jtttu45ZZb+OIXv4gQgmOOOWZW8C699FJOPfXUFV3sgVKbBzp2/fXXc911163EkjwrgIveZiM2rJek0gbVEzc3Gw5skYhUtqCkFPUNmJVSyF5KM84FEZpCBayvCuJcM91KyTJJuQTTbUk37tKVBaExGDR72m3GZyTNOjTafRuuidV5WjzLRARsHIawCkhIu5BrCEswVLaVlqGCPLIjdhIF7U7Orm7COdI3yg0aixI5N2HgHe94B0VRcPvtt7NlyxZuvfVWvvzlL/P5z38eIQQnnHACl156KZ/+9KeXdZGuTcFFdHOZmZlBCMH69ev3e/0rr7ySN73pTbO/t1ot39C+Btl7coCaM51bG2uYa3ptAa4B3E7mtmnKSim0UV1W0OltntjxN4IiT8l0yFg1IClKjNdjZlod8kJRiQJkkbCj1aJIE9KemDYbMFmH6dTOeNsD3rnwMEBj+95OOUGglKHehE4MJQEEtj+yCO2EdqFgdAjK1YANpYBM+0hu0FhyZ2OpVOLCCy/kwgsv5OqrrybPc7773e/yN3/zN3z5y1/ms5/97LKL3KmnnkqtVuPnP//5Psd+/vOfc9pppx1wP65SqXiPzTXO3L036M1wi+aMxtHaRnFSobUVOIOwQ0wLQymwbQGZ1KSFpp1ISiFIFaCVZKJu5zs3REAUhhRSkuQaLQumuwVZkaLygplMkcWQdO2k7kllTZW9+fzhg8K6m3RSg8ihk0LcgiCCigFRA1JYN2Kbw2ujMFwqIw0Ml/zHnEHjoNv3f/3rX89Gc7feeitTU1Ns2rRpRcbsRFHEZZddxj/90z/xvve9j9HRUQC2bdvGli1beOMb37js9+k5NCy09zZ3sKkxdm9NKt2L5gRBIOxMN+zE7kokKIWBPa4VSZrR6aREAYwMl2m0M9ppRiYLhitVosAWlmRFwmSzw0wrpllARUCn0fOazK0Vly8sOTxwvXFg9+TaLagNYe3cetPYxwR0FKzLQUcwFkK5ZkcjZaog18aOY/IMFIsWubvvvpstW7bM7s2Nj49z9NFHc9FFF3HNNddw8cUXc/bZZx/UIr72ta/R7XZpt+1UrV/96lfcfPPNAPz2b/82Q0NDXHfddVxwwQU8+9nP5m1ve9tsM/jmzZv5X//rfx3U/XpWj7mpSWfHtffkbidwhbQuJfbC/jy4QhvWD0Uobadxa1dlmUMUhkglaXYKkiIhCkMiEVAODDOdLnGeMdXpUm8XNLu242AygUYHtuPnux1uzI3EI2BkFOLcTmZvpjAkrJiVBexI4KgqVI+DoQCkgU6miDDz9oI9g4Ewi5gdccIJJ7Bnzx6OO+44LrroIi6++GIuvvhizjjjjGVZxCMe8Qi2bt264LEHHniARzziEQD86Ec/4q1vfSvf/e5359l6LbXgZbXHsR/p7J2adITB/MndxphZn0mpNOUoQGk7A64cBUQ9B4qsUJRD6KSSesdW0nYTSSElBsgLRRQFaJnTiBO216cZbyra09BN7fDSAJvGug/vNXm4cxrwyA1QHgIEJG1rwdZtghYwY6yl1+Yh2LwZSiWoDYU8/hEn8cSzTuaoDaOr+wAGjNV+v11UJLd7926Gh4e59NJLueSSS7j44os57bTTlm0RDz744KLOe9zjHsc3vvGNZbtfz6Fnvh3X/Mht7vFAMDspQCpNKbTjcgKhUdpOFAgFxLkiRNFMrFOJwCApMVQTJIlhvNXGaEnWymhmiolOi3oTWh1oNm3EVmCdL3xq8sggxO6zlaqgCmgp216iAIx9UyxjBS8rQJRg09Aw1VKVoWp5VdfuWTqLNmh2e29vectbaDQaHHfccbMR3cUXX3zIeuY8g8nelZMLCRwwz4dSKj07FocwpByCVFCOAowxZFLTiTM6qaQS2tE4ShtGyoZGq2C606UeZ6ALdrVjOnFOpwnTU9AydohpBzsF2nPkUACBgdFKQFtqpLJDUTNgfQk2GRgbgm4GRkJQgMDOD9w7++BZ+yxK5M477zzOO+883vCGN2CM4Sc/+Qm33XYbt956K29729toNBocc8wxXHzxxVxyySW85jWvWel1ewaIhSonS8G+vY1aa2QvyhNCzE4L0AaqGOIC0NaOK8sy6t2COC1sub/URFFIrWToFoJumrC72SaTGe1OTJLDzG6Y6EILqGOLDTxHHhq7zya0RhjQ2nqQbghh/QY7ZkdrqBQ9QazAaK1MUKqSFpqaN1YaKBa1J3cgjDF8//vf5/3vfz9f/vKXEUKseRPT1c4RH2kobVsApLZ9a3s7uRtjkEoTZxKtNVmhZotOgiCgHEI3N7PDTcshNOOCblKQ53YHTSlDuRSQ5opO3OauiSnqndReN7XO8vfttmnJqUP/FBx2lBjcvcsa8IR1QNmad6ddaCUwUoX1ozC2wfpW1uugInjkJjj52GM49ZijOOPkDRy90b9nLIXVfr89qBYCrTU/+MEPuPXWW9myZQv/9V//RafTAeCYY45Z1gV6BpvZpm1jnUekhpIw86I4V0ySFbbIJJfWvaRSCikFAiMCqmHO9oZmU83QTjSdOEcVBWEYUasEKKWZaXXYPTPFL/e0yOLeEFUB3Q5MNm3VpJ/xtjTmlt471vcukwxmc/wY0E5sy0CqwAjYPAZDI1DtCV+h7Ky5kbIVOvvhS/YG8HoGiUWJnNaaH/7wh7P7cv/5n/9Jt9vFGMPmzZt5xjOeMWvtdeaZZ670mj0DhNL9CQKGvv9k2NM4V0GZFzaKC4U1Sla9PjgpNVEA013FWEnSSAShMAxVI5qFApmzq9EmVgHN9gx3TnfZvd1GbpUyNHObmvTR28ER0hc5gRWIIfpR3P5cYAVrVwAzwCibsly3DmolK3ZlAbmEomWFLcxBliGPoTWcUY8zAm8LMHAsSuTWr18/K2obNmzgKU95yqyoPfaxj13pNXoGFK1t4UggIAoDAgy5gnJogHC2ejLNJYVUs+lMjW0P6GaKbqastReKVhEwEkkKLWh3EpIsY6rd5u7JOmhFu6OpN6wNVwRM59atxHNwBEAVm5oMsOIWYIVumn4VYsT8/U2BFUfV+3ktyYJbT1Sy1l6RsJW21TLMZNarspVAtQQmsPt0sYJ2klA5ys4l9AwWixK5iy66iCc/+clceumlnHfeeSs2QNUz+DgHE601mTSEwiBNQDkCqQWBMGTSEGnZF7heg205CsgKQy4VcZIy3coQxlCtBBgREYmC8YZCy5TtMy2aSZcdM13abWi17KRnk9so437W1pvroFDDVpvq3leOFbkIK3CjvcvGsBHyRvZtvTBYgTOsvWjOABVsdWWqIJQQlkGFUIugFUOWgChb4Wt1YLgCQgRUSyU7Ud4zUCxK5G655ZaVXofnMMENLS16+2q5htGqKz6xAigwtBJNXtj9t3IUUIkEdgvNkKYpu6cSDJJqpYI2NvnVShRK5tw92WS8UafekSQtSBOY6IUSO/EDTB8ONeyem8KKXKl3ucR+eGhhI7q097uL2srMb8VYa+LmcCnXdZut0BUaahWohNDW9g1RVIEAgrK9QqFAy4I4y4mE/+g0aCxK5LZv335Qrv07d+7khBNOWPL1PIOJS09irMAJIRgqCxAB2rhiEyuCWts3i0optO4lYTA7LqeVGoYqgkyWiJC0OhJZZHQLSSvusHuqSaMN7bbtb5pKbFO3H4Hz8HEpSFdUMoMVtRwrEBX6+3ApVuAM+4rc3r+vFQx2aOpwCNVRQMJQNSQuNGVpyCPbAD7UOzmKoFSGoFxBIejksGlVH4FnqSwq9j799NN5/etfz7333vuQ5xZFwRe/+EXOO+88PvGJTzzsBXrWPq4FIC3s/psmYKgSUY4ChHDuJGa2sds1hAfCtgMYYyiKgnZS0E0LSsKmMkuioN7Nmem0+PGuSe6bmOKuiSZTDZiYhnoTtiZwD17glsKBNhsmsGnInF6BBpBgxWyEvkjEvZ8b9Pfe5n5iPmjn9xVGYNOQIoKhco3RWkSiBWFgiEIoDdkCFFG1j29sGNbXoBoElAI77cIzWCzqb/HrX/86b3zjG/nwhz/MBRdcwKWXXsr555/P0UcfTbVaZWZmhvvuu4/bb7+df/u3f6Pb7fL617/eTwc4QtCGeRWUtRIgAoSw6Ukb3NlG76IoUL0p3wDtzFASknZmrD1XN6PZzslkQSsuaMYxO5otZqYz6gm0p2zRg2vo9iyNMWyUNoStOK2yb3q3g32Dd0JX6p1fAYbpR26693O1d9xFgM2VfhAPAwNM5LC+C6OjOVEQsq4SEUVDbKoU7IozhNYkifWsbHWhNGKNCyJCquW1Kt+e/bGoV+zCCy/khz/8IV/72te48cYb+d//+3+TJMk8t3iARz3qUVxxxRW85jWv4bjjjlu5VXvWBC49aYwhDARRGCCw9lohGhB2Dpw2xJm0LibSEIYBRZHTzgyBkbSUrZ6c7BTEccx0JyaTOfV2h3qS0GrZN5tO0w4u9RWTS8M1brtxnxH9VOJCbwBR7zobsVFchhXCvPelerfneg6bvZ/dvh30qy33l7ZczWbyDtBJrO9pNdIEpTI1o+gaCVITBrBhA6QpmAhmEijVFJnRsxMzPIPDkj6WPOtZz+JZz3oWRVFwxx13sGvXLpIkYfPmzZx55pl+/+0Io1C2iRugVrb7anmvWzZXzA49LZRGKYUygkhoikIx2cqIhKabGUqBop1okixmqhMz3W6TFHajf7IO9RloZFbg/AicxTNrNNz7faR3mcAKT5l+FOf62kaw0V6v5oIS/ZSlwQrECPOb6gv6wuiu18DuhSzkfRSwum4pCVAJQBawMzasI8bUhhBRFRVJTGAwBqo122JgDAhjCHppec9gcVCxd6lU4oILLljutXgGBOdgIpjjR4lNTYbCRnKlwMwWkgQCRBASaI3UAe00Jy8k092cwCiSQpIWOfW4w0w3JclzWi1Fow07ZmAS+6bp2T/OTnFu6tH1sAmssJSx4hRiRaZnCEMJOAYrYK6a0qUop7CCGGLFAewHjah3WQkrZC7iq/TWMtq7bCGRW22ZGMO2Dbg0eyPWVHSHaiVCJgZV2GrLUgjrahHlMKJSHaJWrvj2qQHEJ5g9S8L1vwVYo+RqKZj1orTiZx1JMglaK7uXEUAoDJ00t/Ph4pwszYnThDhLmGh16aQx7VQhJXTbMNWAyQIWnjLocQzRFxW3h9bAio3GtgQYrMhlvcsSYANW1MrY1KLC7re5lGPWOz7Ru05lgfs29O29XPrRZfMUCwvcWkEAOoUss3tv3RCiXutAGECc9UTeSI4dgSgIiEJBOfJ9coOGFznPorHjbQwYTbcws+0BYSCQSts5cUYxkyhbURkIwkAQZ5JukjHdzlFKgy6YbHeZas6wrd62b7wxZLmd8daIbb+bT00+NDH9vTaBTSWWsaKU0I/iNP1I6+je5TWsMI1ghbJNv5E7xLYP9Oax71Oc4gTM7bcVvdsQvetEWNEsWFutBC6izVPrZBIpu76oANmSiMCKXiWwo3ZGA0g1rAsiBPuai3vWPl7kPIvGek4aEmntjww2SlPatgcobcgK+90NOpVK00kl082ULJNIJclVwWSzzp272+QZaAndLrS7dt/NtwMszGascM11GClhRaXZ+9n97lKFIf3obAwrQsNY0SphG7/dHp3u/RzTLzKZy95+lHsXlURYEY16X7p3W3vbfq02Amh2rMNJEkApAlmFoRCGK4J6y6ACKGLIShAWklBoUqnW/IQVz754kfM8JLMDT7Uik71eIRFQCgVKKVqJJM0llVJI0OuJK7QiV5qZTk6W5STdhDgv6OYx4402WydTOl0rcO0OTEg7JcBj2VtASvT3z8D+47pUZUa/4dVdR835HtHfsxulH9kVveO13jkukguw4uh2n6LeuevppyRdc3iEFdGje+twkeMQsIP+Pt5aQWM/EGyKrJVXpQJCQLUC1VrIUKVKprq0cyjXoFwGXQpJC00kICl8eeWg4UXOc0DcwFOMJs41AoMGVJ4jNaRZTlLYSQK1ckitUqIcBQQCtk2lpElCnBU0u23un5pivK7R0k4J6LRhUnlxW4gy84s9nH+k60sz2IjM9a6lvZ8LrOi4KI7eue66bWAcK3aj2HEzmelbdFV713U9cNCvhMzp7/05oXTiO937LrFFLNOsPYFzKKAcQaUEUdlWWRoFQ6WQkoCRsiArDErY6kpVKKQsyJT2tl4DyJJF7ktf+hLPfe5zfW76CMFVUbZTOykA7ESBtLDiF2d2L073WgRKoSTJDFPNmHanSzPuMtXu8OB0i5lGby+kAy0N21hb+zWryTDz05CK+WX6Glvp6Bqx4975CVaYXHFIBRtxJfT36+ZODnD3UcEKY9vYAhMnZG6PrqCfbnTkvd9H6Ivb5Jz7cIwv+dEfWjR2wgASsgBUbnviuhpOHgqQukoYJVDY5zss2WZwIQTmgH4xnrXIkkXuBS94ASeccAKvec1rePWrX83RRx+9EuvyrAGMMbOTuqXqN8JKKUnTnEwaRisCRUiSQyQ0402JzFPG610acUy902ZnPWZ80opbQ3mfyb0pYUWpTL/nLKG/xzWCfc4E/YKREn1nkXW982oClIEotH2K6+inFetYgQt613dFIk36+3GuJQD6LQLDzBfbvLeW4d7PLkJ0UeMgTAvXQJFBedj6UobCDk4tspxtUhIEmm5sI7xKz3pO1Ox5vhl88FhyOHbrrbfyxCc+keuuu46TTz6ZP/qjP+L2229fibV5VhFjbDFJoex+XDkK7BgdpWinisKEVCtlRFShXIqoRjDVLmi12jww2WDr5CS/3jXOXdtjJichi6Gl4D68wM1liJ4rPv10YIl+KtKlBV2vmtuXGwEewfxikgA78SEK7LmumtKlHnNsOtHdB71zyr3bO6Z3O2CjRiesY73L5xo3qznrc71yNfpit5YZAWrDdoROtWQ/FITaeqF22pqZjh23IzvQaFlBxIA2ttDKM1gsOZK76KKLuOiii9i9ezcf/ehH+fu//3tuuukmzjvvPP7H//gfvOhFL6JSWairxjMozAqcVChtZgtOjDEEQUApNGitKPKCNLWVlPVWwnizzXTcptWOmejmTE5Bq2mjtxa2JN0zn3XYqMpNLm/R94d0s91SrBg6EdlAX7xC+gNKTQDNtO9Q4opCXGoz691Gk/6+3ljv9o/GVhtKDXt0P6oTvTW5mkInpt3emkr0Lb3qDIbIlYHRIahWIYggCEELOHoYkl7jn9QQFyAktFMwRqK848lActCfS4477jje+c53sm3bNj772c8SBAGvetWrOPHEE7nyyivZvXv3cq7TcwhwXpSFVLN9b8YYupmiEUu01oSBoFqOGK6ExAXMdArGZ7psnWrw4NQ09+xssHUypz4FO2fgTgUP4gVuf6RYsRrFCs5m7Jtwlb4ll8SKjSsWcaIC/UGmIb03a/p7Z22s+Lloq4QVLBeJQT86jIG2hHFtBdJ5VRbMb+ru0jdwdmtSc47P/Xmt4h6/LiBJIe+CSqHegOOHIsbKtq2gmUEnhaQNM90MKfNZGzvP4PCwg+8HHniA733ve9xzzz2EYchjH/tYPvShD/HoRz+af/3Xf12ONXoeJm5atzPS3t85blJ3Ny1Ic0me57QT+7Oz6zKqYKadsmu6Q7fTpd5sM96sM92qs3s6Zvcu2L4DfjBjU5N+gOl8FvqHk9ioawP9CKpCv5JyrpiU6e/dPYAVHFf8IQQMBTASWMEc6V2+rnf7Lk0Z9K5Xx0aQ01jT6zr9PjwnjAv9xTjXFJcOHWNhRxT3OEoLHFtNpoF2E3QAI0P2e70Nk3XY05J0Ekhs3QllAcEQjFTLRKUqtcpaezSeh+KgRM4Yw7/8y7/wjGc8gzPPPJObbrqJ173udTz44IN861vf4sEHH+SSSy7xo3ZWGSduqrdbvtCm+dxzjLHTAtpJQTvOmGwX5IVE9N7qIqHZ08wZn47ZPl7n3j2T3Dexm/t2TbB9OmH3bjvf7ed4t5LF4l4SiRUl50bSpT8J4CRsmjHAiksb6wjjUoSGXtO1gKgC1dCK2+ic67heuQ3AUfQFSPXu16UeXeQ4V8ic4NXmrNv1wwXsfz6d6q1trRWjJNiJ4EVqp4OjwEgYj2G8bvfhlLLPQRDA5hpUoojhCEYrvrpy0Fjyntx73/tebrzxRrZu3cq5557L3/3d3/HiF7943j7c0UcfzZ/92Z9x6aWXLutiPUtDm76IhQGEwb7/oHMrJrtpQTfJrdjlGqMVHR2xripQRjDV7DJZT5huNdnVajHe7tLugMpgzyTcZXzk9lC4Rmuw/3wB/bSgm8CdYYWs2jtnPfaN2e2FlXuXgd1fq2OnVbdTWDcMuwt7ziRWZPb0vp9AL/ISEPZaB1ykFWFFzEWKbnAq9FsEXCrSnbMR+3rPHbEzl7m9dmsOaYWsm4Ps5YOPLoPSUAogjntTFBQUAsaGaoRRmVYGo6OrvXjPUliyyL397W/n8ssv51Of+hQXX3zxfs879dRTufrqqx/W4jwPj0DYT6xhIGb7fOaitabozYPrppKksBvr0gSUA01qQkbL0M0UcZqwa6qDkikP1OtMNFJmpqzn5M7CRhaePs5Dcu6+lhssOoYVmJx+8/UwVkycsJSwkdg6QAVQ1VZkqth9taR3H5uwoug8Ind1rUAJrIDl9IVmZ+/8krECtJF+L11Kv+9uPf1+OFdh6faxBP2CF1fU4iK/hVhrURz0zKQFpBkoYYtM1o2A1jA8ZB/nhvUw3ug9hx3IC0k9SSjyIewr4xkUlixy9957L6eccspDnnfCCSdwzTXXHNSiPMuDEIJSOGdqd686TGk7/iaXttAkLyRxJlFKUSjDSMXQTgWBkeyeSukkCZOthCRts7XdpTFjSFKYbsL9rC1fwrWCK/OvYMVlCPuGvwEraG4m2zRWyFxaz4nFRvoOJZG2QtIzyZ/dqwvpD0B1o21cNabrX9t7P2KavljONXd2I3ic0A71LnMz5qAvaM4r0/XpDVpVfQUb8cYdKCR0Uxux1YZBlGxvXF6yLRWEdiLBVLfDprFhRDAI9aOeuSxZ5BYjcJ7VxXlNBsIKXSj69lxSWaHLpZ5NUbYSaSM3FbCuKmh0czqJJEtTxtsJM902exoNGomhNQmTbZsCq6/2A13DuH+sECtYc93+XRpPYiMrV+rfwUZpbtios+YqsMKo6O+duQithI0MncNJh75Yre9dfkzvfBfhNeascxP9toQG/flzpve7oF8BmtE3gJ7LoNUbZkDe+2RWSDsUtRkDxu7NDY/Y6sqhCEzNjt4plSoQlBmqeCfEQWPJr9grX/nK/R4LgoD169dzwQUX8NznPpdyufywFuc5ONw+mzYQ9IaZzvb3GNsikBe2B85acQmaXYWgYHdX0UkLtMrZ04rpxA22NTKyGDox7G7bqj7vxb4wTgSm6AtShBWiLraVYravjb4DiaI/x63W++7c+12/nGv8HqFfmJL2ruemcrtCkIy+OLmo0PXWzdB//VyztxNSN16nYL6Rszvf7R3Gc64/d98tYu3/bdQAKaBWg7xX2qpzm7Zsx9YwvBKCLNnHGkRQpAkbK4ZKyUdyg8aSRW7Lli00m00ajQZRFLFp0yamp6eRUrJ+/XqMMfzVX/0Vj3nMY7j11ls55phjVmLdnv1gjJn9EkKgTH8UDtj9uUopRBuIjKESGpqEhEJRb6U00hSZddnZzSFPmOxK8hT27IFxPylgljL2zXIUG/F0epc7cXBz1aawFZOukKRMvw9N0p/ePbcXzqUmq/QrIDP61l8uteiqH0tY0XHnuoGlrd5lbi3Qjw6dyDp/ylH60Zrb42POdZzgCfptDnOHpM49d63Twva/DdXs457p2iKUQENYtenJbmEfp6nYYaomDGnmgjSXjK3y+j1LY8np9C996UuMjo7y+c9/niRJ2L17N0mScNNNNzE6Osq///u/85//+Z/U63WuuuqqlViz5wBow6yRrBBidh/O+VBKpdFaI4wiLyTtOKMdZ3S6KRPtNjPtFlubXfIsYeeMZHIcfrEdfuoFbh7OZmsMW+LvShEi7B6bc/SP6VtnuSjP+VGO0p/l5gTHpTJd+b9LawqsUKb09/rc97kjb9b37ovebTlxcy0D9NbsWgmy3hob9IXXFZbMLVNyqVG3jrVYULIUBIC28+Qo9Z77km0pSLGPt4u19GrNwNbxhJlWg1bsLcUHjSVHcm9605t485vfzB/8wR/MXhaGIS984QsZHx/nTW96E//5n//JW9/6Vm644YZlXaxn/7h9OIH9jtHkxfwmcNsvZ8fitBJJJ04Zr8fkecZMp83uZoukyMm7hlYM28btpADf87YvI1ixiLD9aRuNFaUCKzLH0Y9yNH27Lpfuc60EHfqRmaHfuD13UrcTQEl/zI0ToQgrPhNY4Wph99lcxBVj9+KcwLbpz6KbO917qHe5s1svsJGi6t23M2yeOylhMbgIcK0xBehe5Yz7YLEuAhXBhtzaexVY42ap7B7dTK7Ismz/N+pZkyw5kvvBD37AWWedteCxs88+m5/85CcAnHfeeUxNTS14nmd5mOtk4nriellJtIE4txMEnO8kQFYomt2MZidhz3SDyfoMD05PM95sMNnM2LbHsGMc7huHX+IFbm9qWCEaw4qZAHJjoyQXHbny+gi7H+Yisgz7hupssdwMODceZ+4/41wB1L3jo1gRchFfTn+iQK13e6O9dW2in/Kc2+zt5s8Fvdvu0m9bcNWSLo3q7kP2znUtBHPX+FCsRYED+7w06Kdvq0Cme/t1oZ3okGFf21JkJxCsj0K08IUng8aSX7GxsTG2bNnCU57ylH2Ofetb32JszGaskyRh1HdNriiuwMQ5mihtEBjSwlZPCqPJFVQiKKQmzSX1dkKzW6CKnMlGkwdmmiTdAgk0Zmxv0Ax+UsBcaliRaNF3HllP332/RX9gqHPqd1WKLiJzqcsyVmicQLR7v7v9M1eE0undhmsFcJFX0LusSb/y0aU8ne1Xl76IOhOqkd7vrqDF9cZBvyrTFZw4x5W5MYuLSku96w7RF8VBxKWNE/o9gGMBVEZgYwh76v3UbQREEcSFYjgaBHdOz1yWLHIvfvGLee9734sxhhe84AUcc8wxjI+P84UvfIEPfOADvP71rwfgRz/6EWeeeeayL9hjccUle1+WK4PWtuhEG0EoNHGmSNKMyY4i6cTEecF427YF7J6Utik2hz0duHeVHs9aZYR+etAJENh/nIJ+yb8TJNfc7SobA/pOJm4YqYvAnCg2er+7tJlLQVbp97TROycQkBp7m53e/bhIEfr7SUP058ENAWEZRG6jUE3/+k7IuvSF10WKexP2LneTyAehyGR/uNfRGVGXgEoM1Qqksl/Ysx7bMB7noIwiVj6SGzSW/Ipdf/317N69m+uvv56//Mu/nL3cGMOLXvQi3vOe9wDwxCc+kWc84xnLt1LPPOZGcQLbA6e1nk1bRoEgKRTNuCDJFXGS0o0L9sxMsL0e04oT6k2oT8NkYfveklV9RGuLEayobKCXtsI+Py4tWQ5BGFuR56Ip1TvHzYcrhb0WgWF7vYlW/03VCZOLhhL6hR2uwtE1YZexxstoyEy/2jKlb7FF7/6HscIb9S6vCWgaKOV9+y3XAuAmGtD7Ptx7zDH2zd1Fg6p3WUzf3HnQyy+m6X8YcFMcBLCjbvfmmvR9PysFFDk0uglC+T25QWPJIlcul7npppt4xzvewW233cb09DSbNm3ioosumrdX99SnPnVZF+rp46I4N627KAq6uSFAU6uUCATEmaTZzam3E+I4pxXHZEqybbrDrkbGzLQdDLlV9WeZHekE9IeVOscSl+YrYd/4neBlyoqIK8cv6Bdp1LFicbSGoVEYrVnjX9eQHWGFQmMbtRX9SG6UfurS9b2FQFf3vS7dP60zVC6wouqqMNf3HocGpLH32aY/UXyuCfNcNH3hdEUtbiKBi/Jci8KgU9CPzt3QWNd60ZF9sa8B64ZABFCrlMj1oPm7eJYkckmScNppp3HjjTdy2WWX+XTkKjFrqqxsS0AzlpRCgez1xEkpmekUxElGs50w1e4w1Wow2UmoT2vu3WOF7UgUt5B+rxrYwhBBX7BM72c3j20H/flurioR7Cd9J3BufE3A/CgqrEFtCKa71gjY9bLNve46+k4mrjLTVSRKYF0vPTk7hTuyhsLDWMEdo2+e7PbkcmwKtE7fKUWzcGVklf4+HViRda4pAfbN39CvtDxcqGCf+6Oxj7NcAq3A6P6HhQj7uOsxnDwKqRIUmc93DBpLErlarUaSJAwPD6/UejyLwBaXKLJCITWMVAJyHTBWFiil2DUT02x2aGcZjXaHX++eYOcEtKftm/B2jtxpAS5C20w/ZeWKLSrM32dyAgZWDFyaL8UKVW3O5a6isoZ9jkvYUS5pFYq4n6J0hSHOfcQVobjCFfcW6hrKczNfwKIIRjXMaBsFumISV7HZoe87ube7yUKsx4p5Tl9Y3e3sPTD1cMJ9sHBp6HVFbwK7gMLY59qloQFaBZwSCTo+WzlwLDn2fspTnsI3vvGNlVjLAbn11ltnnfT3/rr99tsP+XoONS496cyU01wilUZgiMKA4bKgKAru39Ni92STrVMz/GLbLr539wT3PggPTsMdwD0cuQLnLLSc4//x2E95I/RFxu1bucrIGrYtoIIVJ1dt5yobE+Y7guTYCGEUqFah2YSG6ldRDmGFpda7nYz+tO6A/t5X3LstJ8T07quRwq5entHtjTWxt+9+r9N3SHkokUp6X64vzt3GYq47yEjsPnSD+UVCqemLe5X+ZIaagFgHVILDKZ49MljyntxVV13F7/3e71GtVnne857Hcccdt88Il40bNy7bAvfmPe95zz5z6s4+++wVu7+1gjZ23EcjlhitCILAGjBjqHdylBE0210e3FNn+8w0O6faTE7bvSBvpmxxxsUubdjBio2b1eYaqN1YnAhbTl4tQ9IbsLmNfsWk2x9z0Y+iv28WhtCI+w3c1d79OSd/l+J0bigu9ajoOW3QnzIQ0xeiuc3V7rHMnQKRzjm2EG7atxOwvdsAur37rDC/heBwpUF/grozxi7Tj4YDeu0fGawrG8LyQjPQPWuZJYvc4x73OACuvfZarrvuugXPUWrlPu2cfvrpPOEJT1ix219ruIZvKSX1boFSCm2gGtiJAoUyvebunD0zdXbMTLNtKqY+Dfe3vBXX+t5Xh37/mKLv0u8Mit2+lphzngH2KKgm9k3PzXBzKUUncC6Sc6Jg6O3v9O7XvXmCjdqcSDmhE1ixDQM7tLPorcE1cM8tbHG3M1fo9jZJhgPvnzkD6P1VSLrHdLjjBMwNrnWR9Sj9Yp4m9kPO2BhUoyFGh7zIDRpLFrmrr756n8jNszIYY2bnvXUyTSQ0EkG1JAgEJFLT7iZMTLXY1WzTjDvsmIyZGIf7Ehhf7QewyrhqSScIrgHYNUM7Q2M3/HM9/UZu11ytsBO2XXrTOZfk9Is6nO3WCH1XkagERWHPdWIVM38Ej2sOn/Wt7DluzD1eZb7ps8NN9YZ+Kfxi5vq5VNzeongk4ipM3ZgjJ3oiglD2hS+qAAaGyzBW831yg8aSX7Frr712BZaxeK644gpe+MIXMjQ0xBOf+ETe8Y538KQnPWlV17RSaGOnd7dTBVoSS0M5CkBLdjYyOp2Ydlow3WyyrdVmZirhwa1wF0fuINON9PeZNHZPq4Z9U99MX9BcOsr1nIXYT+3D9KcEBNg0r4uK6vT39SboF6ZI+ilG1x4Q9RyMXfrRtQS48nzmXM/t/82N4AT9vUFX3ekiOodbv9vLg8WNuvECZ3GWZc6KzX3gCbT9u3HFN+syO1culoZ2MujW1EceD+tjSZIkzMzMcMwxxxBFK/sJZ926dbz+9a/nkksuYdOmTdx77728//3v55JLLuErX/nKARvPsyybZ6zaarVWdK0PF1dkUkhFnEmEUaTSNnt3EslUMyWOU3Y1mjS6HXbW2zSmYPsM3MfgN+oeLBXsG1aCbY9wlZAp/QGiZewb19zpABH9/bQ2/UpLsKI52bssYf5A0iH61Y1uD801hRf097tcWf/c8TxuxI2LLGOswDXpl/U7QZ27j+ZG3DicoFXoz5U7ElKNy4VzmXHjgzKgo/sfbELsYNXCQJrlNGP/7A4awuztDbUItmzZwlVXXcUPfvADAL7//e9z/vnnc8UVV/CUpzyF5z3vecu+0IVoNBo89rGPZePGjfz0pz/d73n72z9sNpuzXptrCak0cSbpJDntOENqCIyknSq6cYGSOdsmxvnFZBOVQLsBd7Zg12ovfJV5BL35YFixcg3QButS4kSgRd+WyvlQuujKFWy4tKTrFSvT93d0rQASW7jgUosB/f09J3wuNeqqN4ex5slzy/tHe+dNsa8h9hB2byjrnb8/3MRxOHI/5BwsY/T75WL6vp4p9oPHqcDmKpx2ZpVnn3UyFzz29FVb6yDSarVYt27dqr3fLrmF4Fvf+hZPf/rTSdOUN7/5zWjd903YvHkzn/rUp5ZzfQdk/fr1PPvZz+ZnP/sZSbL/Js0rr7ySZrM5+7V9+9otxzDGzM55m2x0magn1NsJ4zMxuyab7JyaZne9zt0zbdIm3LsNfuEFjg30y/wjbGryWGwk5qKmeu/73E917pjbv3PRkvOWdNO8Nf2qu41YoXL/PPGc2+pgBc0Vg7gxNm36ouo8IF2ZvxNUZ348F2ep1djr8r3/cZ0nphe4xTH3ee4Au7GvkUtzj2CzAsfS8yhNodtNiQvveDJoHFThyW//9m/zz//8z0gped/73jd77Nxzz+WTn/zksi7woXCB6IGKYSqVCpXKYFRFSaXppJJ2UtBNJbIoyJXBGEkr6bK93aHd7FKfgp/N2KhkqTO+Bh1nWOwqDl0RSUw/lTeC/XS+BytYDewfe6N33DmfODNlJzTORNn1xBX0e8hcdaUTzDr7lvWvp59mdEbICfOLWVya1LmnTNOv8nOuK+72nI/l3uxtyeW7t5bOMPZ1cGnlBv1mfUHf0q2JfY3WTUKeru2tDs++LFnkfvKTn/DFL34R2FdYjjrqKCYmDt2Qlnq9zi233MJ5551HtVp96CusUVybgFKKVpxTb6e04xyjbbuAlhmtPGOy1WB6JmPXdniwZ6p8pCGwn65z+uX4TozS3ndXIu/MlN0oHNejBv2ikb2nXzurs7kTB8BWqg5jP+2vo5/mdCbGbpp2l35P3NxJ3+6+3JicGv2oy0UPbrLBQ+0flDl8PCRXC2dmDfOHwbq/E/f6ONFrAt0GNDNftjNoLFnkoiiiKBauMJqYmFixGXIvfvGLOfnkk/nN3/xNNm/ezD333MMHPvABxsfHD2mKdLlxbQJZXjDTyWm0Y9qJQhiJUhAnXbY1Wkw1G+yZMmzfY11LjoRG3YU4hr64DdNPJU7TL8pIeue5qsb1zO9jc8UmruhDY9/cXCJqf2k/5yvpSssFNhpzRSEF/SZq5xfpRM7lEVwJv2tAD+ZcZ7GvqU9JLg+uhcC9m63vfdfATmxK2n2IAUgMmNx7Vw4aSxa5Cy64gM985jM85znP2efYzTffzBOf+MRlWdjenHPOOXzhC1/gxhtvpNPpsHHjRp70pCfxmc98hgsuuGBF7nOlMcbYyd2FYqaVMNkuSLqZbSKOU1KZsm2mztZdXbbuhN36yO59q2Cj11HsG31K36nCNfKCfZMapz87zfWileZ8gRVL5z5fpT98dH/UsaKm6Vc8ztAXvTH6KVOXTnSf+52LinMv8awN3OvkbNrGsB+ONvQud+OTACoBiPLgZoyOVJYscm9729t4xjOewXOf+1xe+tKXIoTge9/7Hp/4xCe4+eab2bJly0qsk7e97W287W1vW5HbXg2UUnRSSTfJiDPJZCNGSkWWZ6RFwVSnw4MTU2zdCdua8MBqL3gN4ESsTX9P7Sj6PW1z07du5M1cSvQbuF07gTMydhMAHgpXZOI+3bu5cG5/z6US90axb+WkZ3VJmO9SE9HfZ21ghW6u7dnoBhirlPAMFksWuac+9al8+tOf5g1veAP//M//DNgG7fXr1/OpT33qsG3MXi7c/ls3lTQ6KePNDJnnpJmkE2dkKmP75DRbJ2Pu3WZ7tA7dLufax0VeLgXopgrMfY72Lt4AKz7OUbXJwtZV+4viXKPwQrj7cO4kbrDqYh1IPKuHm7zg6Mz52UXpjhJQCaFWWcxHIc9a4qA6uF/ykpfwe7/3e/zXf/0X4+PjbN68md/6rd/yI3geAmMMaW6nCHTilIlWjsoz2rHEqIxdzRkeGG8wPgETTTvLbDG1XHs3CB+urKNvoOx6mGr0p1eDFZga+0ZNAhvpbcC+gTljZofbl9ubxTy3Lopzt+f66zxrm6UU7ihAC0hzX+4zaBy0TUmtVuMpT3nKcq7lsMUYgzbYYabtlOl2RiEVkdA0YkmSd9k+XeeeHW127IQdeuHozVV8zf03q9DvyTqcvRiGsILveszmRlCu0drZYXWZ/xw5RxNn0+X26Oay93PnbstVQx6IhSLAvUv8PYONBqYnoR37pPOgcVAiZ4zhBz/4AVu3bl2wCfulL33pw17Y4YKL3tLc9r51kpxuWiCMJssy9jTrbK/P8ODWnKkG3KXn9705i6kN2HTKMP0yd+eHeCT827m9LydGTtjduBxXeOKMkOeyUFryoSItN3bHF4x7HOUKdHNvTj9oLFnk7r77bi6//HLuueceFnIEE0J4kWN+9FbvZDRiSTnQaANhIJBZzoNTdX69fQ/33WdHuowzvwwd7BvtcO/yDdg38GOw0UWZw7eVwHlEuoZpJ1yC/mQBF7V19rque16cnZZzEnFl/NM8dKTlUqH07u9Ia7g/kjjQnqujCowOwVFjfk9u0FiyyF1xxRWkacoXvvAFzjnnnIFxEjmUuNYApftRXJ7nFBgiocnihLt2j/PLrTPcvx126n50Nnd45wb6zvcwvxzeOWkcriJXxlpzRdjUrYvGXJ9aCft8zP1A4MSshn1+cuxzldCfyyZZeP7aQrgchd9pPrxxfxv74xRgvYCjjw9YN7r2vG49B2bJIvf973+fv/u7v+P5z3/+SqznsKCQtj2gKAoKZZ1MgiAAo9k91eJnu6e55546909Zz7wWfWuoUfpv4Bn9BlX3jxjSF7fDqd/KzVxzrv5uRI1rmJ47E07R3wer9q7nJnK76K6K7XlK5lw293aWgo/iDm/Shz6F1ECea3ThW/EHjSWL3MjIyJp07l8LuPaAJFe2yKQrGS4LEAFaJmwfn+b2e7exayfc1bYRinO5j+jbOs1go5EN9EenOKuqafoO+ocLzn0kx4p4xL4l3PvDNYS7SQBznfjT3m05kfLFIJ6l4Br+oZf+DgTNbG8Lbc9aZ8mVzq94xSu46aabVmItA49LT2aFIs0lpcDQSXIazRZ375rhh/dv454H4WftvhlsCRu9baJfql7DmgtHWAF0RrJg958OJ4FzFYwdrBhl9MV+sSj6XpGOuaNyPJ6HYu+UdIA1GliP/X+zPieCzSOHdFmeZWDJkdzZZ5/N5z//eS6//HIuu+wyNm3atM85h2qe3FpCKUU3lXTTAoymmym0zNk9HbNjepoHJyf5+Z22PcDNrAqxIuaaiF2pu7vMVQy2sNcZdP9zNzx0Lk6M3Cfm5TYePhIqTz0Pn719TNzfahO7NzxahY3VCmHJ1yAMGksWuRe/+MUAPPDAA9xyyy37HBdCoNSR1TBpjCHONUlW0OxmpIWmEii2T3bYOjHBz7Y22LULJkw/heaalt24GFdssg67lyTo2ws5q6FBp8rCPWUrXaa/mOo5z5GLmxoxF7cho+n1pmYQy4IkO5zyKEcGSxa5lfKmHFS01qSFRsmCViLJpUYrya6ZLg9M7OGX21o8uNPuL81NR7o3Xtd07CI4Rd/Bo5jz/XBgtSJRL3CeA7F34cm63ndnDTcMEEA3k2jlRW7QWLLIXXzxxSuxjoGlUKY3JqdAy5wkyZhuttk202TbdIutO6zAuRTlEPZJd2a+HWze30V1IVYM6swf8+HxeFYWNz6pQt+weXPv92oFqlEAwheeDBoHbeu1EEVRsH37dh71qEct582uWYwxFEXBZCsjSTM6cc6eeoN7JqfYtj3m/j023ZhixW0dfbf7ALtfVKG/b+RcPSY5fKI3j2dQCOm35hj6RgxDAZQNlMolSqH3wBk0FlV8FoYh3//+92d/N8bw9Kc/nXvvvXfeeT/+8Y85/fTTl3eFaxStNd20YLqd0U0yGu2UqUaTu/bs4a4HYu7pCVyCjdTWYaO3Mfr2VMP0Z5gp7Cb3brzAeTyHklHsVkGl9x3s/63CZmCUhk4OhdLkhW9EGTQWFcntbd+lteYb3/gGrdag1/sdPIUyxJmk0c1ptxOmWm22T0+yfTynPmPTkAlWyAL6FlOulyug39wtOHyKSzyeQaKMzbSsw74ZusKwNv1ilPVAS8GJSUEm/Q7voLGs6cojBaWUHZVT79Jqx0x2uuycrnP3roRdO226UWGbuWv0G7rdXpym74o/zeC3Bng8g0qO7VE9BogCENruoQ/RnxivsP/HMy0w0jueDBpe5JaAMQapNM1uxngjZXKmy55mkwfHd3HvLsPEpPWgTOmLm6bvUFLGRnI1rLAleIHzeFabBvZ/8gRs9FalV2zSOz6G3aurliDxgdzA4UVukRhjyKXthZtuJUzOdJhotdg2VefubYbdddhFf78toF9kUsKmJJu97w/2jvvKSY9n9XGN4KUhG9W1U6hKCEsgC+vEEwNZByLh9+QGjUWLnBD7zlFa6LLDETdVIMkKJuodto+3mG632FOvs3MqYWfd7qnF2Px9F/tJcAYrcmX60ZsXNo9nbZFj/3c7KQxXYWTI/lyi74EaY4tPFp4f71nLLFrkLr30UuukP4cLL7xw3mVaH36fclwElxV2ssBEPWFPu8PWiSl2Tuds326NlkNseiPF/nMU2Cc3x6Ysvb2Ux7O2cFsKm7HZl7CnX6Wgt38uYaQCk1nPlCEBdRi+xx3uLErkXvayl630OtYkxhgKZZBS0uqm7Bivc//4BA+MTzLVhokdsB0rYK6vxlVIuqndBb5q0uNZiwhs+8BRZdASqIAqgBIEFYhCG9WdkMOUgdExIPCW34PGokTuk5/85EqvY80hpaSdKowqmOnkTDZTHhivc9fkNDt3Q2vGRnCucVTTd8F3LvqH07w3j+dwYiO2+jkCNm6AZgeSFOoSxgqoVmFkA5QDGBkB3YENG2Hd0NBD3LJnreELTxZAa00zUSRpxngzo9PuMtls8atdu9ixC7Y2bLXVDDaNsXcCQ3J4jcPxeA43RrBtAgHQ6MD6UTABdNowqWEshqEQ2NDbpxuFYzdW2bTOi9yg4WPvBXAmyzOdnLjbZcfUDHeOT7B7NzzQgG3AHvpOJR6PZ7CIsR9Uc6DdBSNgQ29ooxv3NJ6A7EKsYbgGx42NUS6X93ubnrWJF7m90FrTiVP21GNazRa7p+o8MDXFtp0Z99VtitK713k8g02MLRLr0ttPj0CUYTSw4qeAsoSZDsgMOgUMlSIq5b0nz3nWOj5duRdZoajHikYnZ9dMl/vqDR7cWfDglG30zlZ7gR6P52EjsCK3GVswFneh1YQ9uj9LjiqUBWQZZDHkMme05kVu0PAiNwdnupylCXsm9/CLXeOM7zbcNw07WXjgp8fjGTwqWF9ZBawrQyYhV/0BxhlgcgiHrdWXNlBvdo+Y3uDDiUWlK++4444VXsbqY4whLTRplrN7OuGBeoeZuuHuaXgAL3Aez+FEHWvn5bxkK8JGdMdgDR3GAEowuglGahCUIVOKJPe78IPGokTu/PPP5zd/8zf56Ec/SrPZXOk1HXJcP1yaxNy9o8m9u7Zx1z0dfrzTWnB5PJ7DC4MVuh1AnMPQMBx/Ahx/DGw8CjbWoFaCSMKGUdsvN1SrUhS+63XQWJTIXXnllUxMTHDFFVdw3HHH8ZKXvIQtW7as9NoOCbMN30XO3Xtitu7Zxffv6fDrhp3t5vF4Dl9chWVjGghASet4MroRjj4a1m8KGBuG0eGQDbUqyvh05aCxKJF797vfzdatW/nqV7/KZZddxpe+9CWe+tSn8qhHPYq/+Iu/YPv27Su9zhVDGzBasXMmYfee3dx+3wy/nLJmyx6P5/CkTN+FchtQz6AxCb+Yhpk6yNTu0U03NLmBUBraShMY3wE7aCy6hUAIwTOf+Uy+8IUvsHv3bj70oQ+xceNGrr76ah71qEfxzGc+k5tvvnngwnmjFTOdnF0TM3x/2y6+t9O2CXg8nsOXMeBkrPOJxm5L/Dy18x3vzaHRtBWXaQyNlq3ErIYRBb66ctA4qD659evX87rXvY4f/vCH3HHHHVxxxRX8+Mc/5g/+4A844YQTlnuNK4Yxhm6mmG60+dnWbfz/fmU3oz0ez+GNG2IMNmUZY2fJ5di9unEJe6agWYfCwDCaoUqZ0bLvkh00HnYz+DnnnMNLXvISLr/8cgCmp6cf9qIOFYVU1FtdfnT3A3zl9pgdq70gj8dzSCiwEVyATV2CnUrgfm71jhNBtQwjw1WGq0MU2u/JDRoH3Sc3NTXFZz7zGT75yU/yy1/+kjAMueyyy3jVq161nOtbUdJccu+2Gf7lthnuXO3FeDyeQ8oE1vEkxPbMhViRi3uXK2AktW4ouQRd5GTSR3KDxpJETmvN1772NT7xiU/wla98hTzPefSjH83111/Py172Mo455piVWueKMDk1w2f/4z5+5P9uPZ4jinXYrYkRbGP4JvpzIWtAE5vSbAGlEI4arZGLgNFquDoL9hw0ixK5u+++m0984hN85jOfYc+ePdRqNV70ohfxqle9iic96UkrvcYV4/Nbfs6tXe8q7vEcaQhspBZiRW5dCWTRm0rQO0dh50UeuxPWj3Z51FGbGapVV2W9noNnUSJ3xhlnAPD4xz+ea6+9lhe96EWMjIys6MIOBf/wgB2O6PF4jix29r5XsCN3KsPwCCAsQ30aZpTdk0uBn8cwOpHz3x8lqJR8JDdoLErk3vCGN/CqV72K3/iN31jp9Xg8Hs8hI8HOhRxu2CbwShlaav6MyAawZwYa7RZh6EVu0FiUyP3VX/0VSZLw+c9/nq1bt3LUUUdx+eWXc9RRR630+jwej2fFKLAiNwP90G0BRgTEEgJfXDlwLKqFYNeuXTz2sY/lJS95CVdddRWvfvWrefSjH83tt9++0uubR6fT4Q1veAPHH3881WqV8847j3/4h384pGvweDxHHnd1oSRn0L5IbeBYlMi9/e1vZ+fOnbz97W/nK1/5Ch/84Acpl8v86Z/+6Uqvbx7Pe97z+PSnP80111zD1772NS644AJe9KIXcdNNNx3SdXg8niOLSWB3PoTW+iHP9awthDHmIT+bnHTSSfzJn/wJ73jHO2Yv+8pXvsLll1/Orl27DknrwFe/+lV+53d+h5tuuokXvehFs5c//elP55e//CXbtm1bdL681Wqxbt06TnrDPxJUfHWlx+OxrAM2YO292nsde856eNsrHs9xx/htmqXg3m+bzSZjY2MPfYVlZlGR3J49e7jooovmXXbJJZdgjGF8fHxFFrY3X/7ylxkZGeEFL3jBvMtf8YpXsGvXLr73ve8dknV4PJ7DlyZW3Ibou584tnXgZw82DvmaPA+PRYmcUoparTbvsmrV9otIeWhcuX/xi19w5plnEkXza2XOOeec2eMej8fzcJkGxtl3UPJPJOzYfvcqrMjzcFi048ldd901T2CUshNy77xzX0Os888/fxmWNp/p6Wke9ahH7XP5xo0bZ4/vjyzLyLJs9vdWq7Xs6/N4PIc3ZaBR3bDay/AskUWL3Mtf/vIFL/+jP/qj2Z+NMQghZgVwuRFi//W7Bzp2/fXXc911163Ekjz7IcSOM6n1fob+/C6BnczsLo+wfoG6dyyY873U+97FNu4arN2SxvY4ud+He+cN9W4vwJaHd3vHh4DqnHPSOcci7BtY2Ltf2Tve6t1H0Lv9Uu+8oHe/pd5XBagIkKZv+qt757ihnFVgLIKxUSj1/usUkCeQFFAOoFyD9aMgFSQZxAlEgb3dJAGXNAmwtxECQQSFhEz2H4vprV/2HlOJvi9j0nvOq73nR/XOrwJDZRiq2etVy2AUtHMoEjCif/+id26moSvt8wR9p5Dh3nPinr9S72fVu+4YcGxvrR1s1DS3cn+od50cOKl3G9Xec7qu97gUNuKi9/sm4MQqaA1pbo8N925b9W7z1Aq0JdQEzEh7e21gK/P5DeAxx0A7hU7TNo5nwOM2wG+f6kVu0FiUyH3yk59c6XU8JJs2bVowWpuZmQH6Ed1CXHnllbzpTW+a/b3VanHSSScteQ0V4BRgfQDHbYBTT4Tq0BBloRFRjeGyoFodItCSTIeMViOGaxWiyhAbqoZWBlmh2DBcIgoDmnFBIRWR0EgTEgmFNAFRGFArCSQR1QjK5TLVckStUkJgiHONkgWagMBIEikIjESEJSqhIc4kjW5OFMBwtUQURZRLEbVySBBGGFXQzgxC925DAEYT5xqBoRQKjAgJ0EgNaZaTS41WEqkhDKzzQxiGhIEgDEPKUWALf4wmKextVMsRYSDsdYTBIAiCwK4jCNDG3lYgoFAGYwxRGBAGAm1stiCXGq3tlzKCcgiaAIGhkIpCGYRRGBFSiQSlUolyFNgPW9p+6CqFAoNAa41U9svdtjFm3mOPwoBSFBIIkEqTSw1G2+G6c2q0hBCUopBapcRQ1b4+xhiSXKG1vS1NQDkEg0Aqe19BENjnrve8GK3ICoUyguGygCBCK0kmDVpJCmXsh0YRUC0Fs48vDO0aEQEBmlzZ1zAI7OvpSt0DYe8/EMweU9rY5waz4LFCKqSyVYTucVQi+xElk4YogFJkP6Ko3h1FoX1NcmVfa7CvqcC+BkEQzHsdCmmf/ygMGKpECxaNaW3//gLs6xCnOUlWkKQZqYRaZChXh9g8WqZSLpFJQyCgUgrR2v4dlkMolyK01qRF7+87ConCAKUUrThnaqbBLx/Yxkxe5qJHjXLCyY8kCuxjcs/PgT5Ee9Y2ixK5l73sZSu9jofksY99LJ///OeRUs5Lm/785z8H4Oyzz97vdSuVCpXKvv5dv7juGYyOjqJNv8nT/dPOfXN4qD9wY8zsbRyKf4Z1D/sWauz/I0Gfg31cB3O9hR0BFx5QuRLP93LdZvUgbOJG97lk75KHhyKktIRZnkGwv2e2dyzaf5XyQz2+uVvm+z01DCiXIoYPfFMEQUA5AAiIIhiqHvh5mXvfQRAwOuf3MAwZ3ktIoyhi41jExrEhHv2I4x9iNZ5B5WHPkztUPPe5z6XT6fClL31p3uWf/vSnOf744/n//r//76BuVwhBGAiEsF9RaCOpIAhmL1/KbRxOHOzjWunnYyVu/3B9DT2eI52Dnid3qHnWs57F0572NP70T/+UVqvFaaedxuc//3n+7d/+jc9+9rPeU87j8Xg8+zAwIgfwT//0T/z5n/85V199NTMzM5xxxhl8/vOf54UvfOFqL83j8Xg8a5BFOZ4cbqx2B77H4/EcKaz2++3A7Ml5PB6Px7NUvMh5PB6P57DFi5zH4/F4Dlu8yHk8Ho/nsGWgqiuXC1dr4z0sPR6PZ2Vx77OrVeN4RIqcswc7GGsvj8fj8Syd6elp1q17+H5NS+WIFDnnc7lt27ZVedIPFc6jc/v27Yd1q4R/nIcX/nEeXjSbTU4++eQD+guvJEekyAWB3Ypct27dYf3H5RgbG/OP8zDCP87DiyPlcbr33UN+v6tyrx6Px+PxHAK8yHk8Ho/nsOWIFLlKpcI111yz4Pidwwn/OA8v/OM8vPCP89BwRHpXejwej+fI4IiM5Dwej8dzZOBFzuPxeDyHLV7kPB6Px3PYcsSIXKfT4Q1veAPHH3881WqV8847j3/4h39Y7WUtim9961u88pWv5IwzzmB4eJgTTjiB5zznOfzoRz+ad97LX/5yhBD7fJ1xxhkL3u7f/M3fcMYZZ1CpVHjkIx/JddddR1EUh+IhLcitt9664PqFENx+++3zzv3xj3/MU5/6VEZGRli/fj3Pe97zuP/++xe83bX2OPf3Ou39WAft9Wy327zlLW/h6U9/OkcddRRCCK699toFz12J129iYoKXv/zlbN68maGhIZ74xCfyzW9+czkfIrC4x6mU4q/+6q945jOfyYknnsjQ0BBnnnkmb3vb22g0Gvvc5v7+Fv7yL/9yTT9OWLm/02V7nOYI4WlPe5pZv369ufHGG823vvUt88d//McGMJ/73OdWe2kPyfOf/3xz6aWXmo985CPm1ltvNV/84hfNE57wBBNFkfnmN785e97LXvYyU6vVzHe/+915X3fcccc+t/kXf/EXRghhrrzySrNlyxbzvve9z5TLZfPqV7/6UD60eWzZssUA5j3vec8+j6Hdbs+e9+tf/9qMjo6aCy+80HzlK18xX/rSl8xv/MZvmOOPP95MTEzMu821+DjvvffefR7fd7/7XbN582ZzwgknGCmlMWbwXs8HHnjArFu3zlx00UWz/1/XXHPNPuetxOuXpqk5++yzzYknnmg++9nPmv/4j/8wz3nOc0wURebWW2895I+z3W6b0dFR8yd/8ifmi1/8otmyZYv5wAc+YDZs2GDOOuus/397dx7U1PX2Afx7TUwCQcCwuIvWHdkUt7oU0KKIS0UUx71o1VodW21HrdW61X2laqfVodpxpWxWRe04CtpqFVxal6oV1wpuEESERIw87x++uT+vCYgaSgjPZyZ/5Dkn95znnpsczs3NhQoKCiT1AdCAAQNMxjojI8Oq8yQqm+PUknlWikkuKSmJANC2bdsk8eDgYKpdu7b4oWKt7t27ZxLLy8ujGjVqULdu3cTYyJEjSa1Wv3J7WVlZpFKpaOzYsZL4ggULSBAEunDhwtt3+g0YJ7nY2NgS6w0cOJBcXV0pNzdXjN24cYOqVq1KU6dOFWPWmqc5KSkpBIBmzpwpxiraeBYVFVFRURERET148KDYD8WyGL9169YRADp27JgYe/r0KXl6elK7du0slSIRlS5Pg8FAWVlZJq+NjY0lALR582ZJHABNmDDhlW1bW55EZXOcWjLPSnG6MjExEQ4ODhg4cKAkHhkZiczMTJw4caKcelY67u7uJjEHBwd4enri33//fe3t7d+/H3q9HpGRkZJ4ZGQkiAg7d+58066WOYPBgD179iA8PFxyKyQPDw8EBQUhMTFRjFWkPKOjoyEIAkaNGvXar7WWPI2nqUpSVuOXmJiIZs2a4d133xVjcrkcw4YNQ2pqKjIyMt4yu/8pTZ4ymQwuLi4m8Xbt2gHAG71vAevL83WU13hWiknu/PnzaNGiBeRy6a06fXx8xPKKJjc3F6dPn0bLli0lcZ1Oh5o1a0Imk6Fu3bqYOHEitFqtpI4xX29vb0m8Vq1acHV1Lff9MWHCBMjlcjg6OqJHjx74/fffxbKrV69Cp9OJY/ciHx8fpKenQ6/XA7D+PI1yc3MRFxeHbt26oWHDhpIyWxjPF5XV+J0/f77YbQLAhQsXLJbD2zh06BAAmLxvAWDbtm2ws7ODUqmEv78/Nm7caFLHWvO09HFqyTwrxQ2as7Oz8c4775jEjXfFNv7rnYpkwoQJyM/Px1dffSXGfH194evrCy8vLwDA4cOHsWrVKhw8eBBpaWlwcHAA8DxfpVIJtVptsl2NRlNu+8PJyQmffvopAgMD4eLigvT0dCxbtgyBgYFISkpCjx49xL6Zu6O5RqMBESEnJwe1atWy2jxftn37duh0OowePVoSr+jjaU5ZjV92dnax23yx3fKUkZGB6dOno02bNujdu7ekbMiQIejVqxfq1auH+/fvIzo6GqNGjcK1a9cwf/58sZ415lkWx6kl86wUkxyAEpfdllyS/xdmzZqFrVu3Ys2aNfD39xfjkydPltQLDg5Gq1atMGDAAGzYsEFSbo37o1WrVmjVqpX4vEuXLggLC4O3tzemTp2KHj16iGWl7b815vmy6OhouLi4ICwsTBKv6ONZkrIYP2veB1qtFqGhoSAixMTEmNyRf+vWrZLn4eHh6NOnDxYvXoxJkybBzc1NLLO2PMvqOLVUnpXidKWLi4vZmd+4nC6v/3P0JubOnYtvvvkGCxYswMSJE19ZPywsDGq1WnIJvouLC/R6PQoKCkzqa7Vaq9ofzs7O6N27N86ePQudTid+z1HceAqCAGdnZwAVI8+zZ8/i5MmTGDZsWKnu7VfRx7Osxs+a3+M5OTkIDg5GRkYGDhw4YPaskjnDhg2DwWDAyZMnxZg15/mitz1OLZlnpZjkvL29cfHiRRgMBkn83LlzACAus63d3LlzMWfOHMyZMwczZswo9euISPKXo/GcuDF/o7t37yIrK8vq9gf9/+1VBUFAo0aNYGdnZ9J34Hk+jRs3hkqlAlAx8oyOjgYAfPTRR6V+TUUez7IaP29v72K3CZTfezwnJwfvv/8+rl+/jgMHDpj9nqk4xuP+5bG2xjzNeZvj1KJ5vta1mBXU3r17CQDt2LFDEg8JCakQPyEgIpo3b57JJealERMTQwBo9erVYiw7O5tUKhV9/PHHkrqLFi2yukvrtVot1alTh/z8/MRYREQEubu706NHj8TYzZs3SaFQ0LRp08SYteep1+tJo9G81iXRFWU8S7rkvCzG77vvviMAdPz4cTH29OlTatmyJbVv396CmUmVlKdWq6XWrVuTs7MzpaWlvfa2Q0NDqWrVqvTgwQMxZo15mvO2x6kl86wUkxzR89/EVa9endavX0+HDh2iMWPGEADasmVLeXftlZYvX04AKCQkxOyPiIme/86oY8eO9O2339LevXtp3759NH36dFKpVNSyZUt6/PixZJvGH2XOmDGDUlJSaNmyZaRUKsv1R9KDBw+madOmiT+eXb9+PTVr1ozkcjkdOHBArHfx4kVycHCg9957j/bu3UsJCQnk5eVV4o+JrSlPox07dhAAWr9+vUlZRR3PvXv3UmxsLP34448EgAYOHEixsbEUGxtL+fn5RFQ246fX66lly5ZUr1492rp1Kx04cIDCwsLK5EfSpcmzoKCA2rZtS4IgUFRUlMl7Nj09XdzW0qVL6cMPP6TNmzdTcnIyxcTEUPfu3QkAzZkzx6rzLKvj1JJ5VppJLi8vjyZNmkQ1a9YkhUJBPj4+tH379vLuVqkEBAQQgGIfRM//agwLC6MGDRqQnZ0dKRQKatKkCU2dOpUePnxodrtRUVHUtGlTUigUVL9+fZo9ezYVFhb+l6lJLFq0iPz8/MjJyYlkMhm5ublRWFgYpaammtQ9efIkdevWjezt7cnR0ZH69esn+eB4kbXlaRQcHExqtVqyojGqqOPp4eFR7HF6/fp1sV5ZjN/du3dpxIgRpNFoSKVSUYcOHSR/HP2XeV6/fr3E9+zIkSPFbe3atYs6d+5Mbm5uJJfLxbvBFPf5ZE15luVxaqk8+f/JMcYYs1mV4sITxhhjlRNPcowxxmwWT3KMMcZsFk9yjDHGbBZPcowxxmwWT3KMMcZsFk9yjDHGbBZPcowxxmwWT3KMMcZsFk9yjDHGbBZPcowxq/XkyRNERkaiXr16cHR0RIcOHXDs2LHy7harQHiSY4xZLYPBgIYNG+Lo0aN4+PAhxo8fj759+5r9x5uMmcM3aGaMVSgajQbJycnw9fUt766wCoBXcsxqbNq0CYIg4OTJk+Xajzlz5kAQBEnM2LcbN26UT6csbN68efD09ERRUREAIC4uDoIgICYmxqSur68vBEHAr7/+alLWqFEjtG7dWhJ79uwZ3N3dsWrVKov3+9KlS9DpdGjUqJEYi46ORp06dZCfn2/x9ljFx5McY6XQq1cv/PHHH6hVq1Z5d+WtZWZmYunSpZg3bx6qVHn+ERAYGAhBEJCcnCypq9Vqce7cOajVapOy27dv49q1awgKCpLEjxw5ggcPHqB///4W7XdBQQGGDx+OmTNnwsHBQYyPHDkSarUaS5cutWh7zDbwJMcqlJK+iynL72nc3NzQoUMHKJXKMmvjvxIVFQVnZ2fJJOTq6govLy+kpKRI6h4+fBhyuRyjR482meSMz1+e5OLi4tCmTRt4eHhYrM9Pnz5FREQEPD09MWPGDEmZXC7HuHHjEBUVxd/VMRM8yTGrZTxtePr0aQwYMADVq1cXT1OVVJaeno7IyEg0adIE9vb2qFOnDvr06YNz586ZtJGUlAQ/Pz8olUo0bNgQy5cvN9sXc6crS9uOsa8XLlzA4MGD4eTkhBo1amDUqFHIzc2V1L106RIGDx6MGjVqQKlUon79+hgxYgSePHki1rly5QqGDBkCd3d3KJVKtGjRAuvWrSvVPi0sLER0dDSGDBkiruKMgoKCcPnyZdy5c0eMpaSkoG3btggNDcWpU6eQl5cnKZPJZOjSpYsYIyIkJiYiPDzcJP+zZ89i4MCBcHJygkajwZQpU2AwGHD58mWEhISgWrVqaNCggcmKrKioCCNGjIBMJkN0dLTJqWQAGDp0KB49eoQdO3aUaj+wyoMnOWb1+vfvj8aNGyM2Nhbff//9K8syMzPh4uKCxYsXY//+/Vi3bh3kcjnat2+Py5cvi689ePAgPvjgA1SrVg07duzAsmXL8PPPP2Pjxo2l6ldp2zEKDw9H06ZNER8fj+nTp2Pbtm2YPHmyWP7XX3+hbdu2OH78OObNm4d9+/Zh0aJFePLkCQoLCwEAf//9N9q2bYvz589jxYoV2LNnD3r16oVJkyZh7ty5r+zziRMnkJ2dbbL6Av63IntxNZecnIyAgAB06tQJgiDgt99+k5S1bt0aTk5OYuzYsWO4c+eOZJIzioiIgK+vL+Lj4zFmzBisWrUKkydPRr9+/dCrVy8kJiaia9eumDZtGhISEsTXjRs3Dnfu3EFMTAzkcrnZvGrWrInmzZsjKSnplfuAVTLEmJXYuHEjAaC0tDQiIpo9ezYBoK+//tqkbkllLzMYDFRYWEhNmjShyZMni/H27dtT7dq1SafTibFHjx6RRqOhl98axr5dv379tdsx9nXp0qWS+p988gmpVCoqKioiIqKuXbuSs7Mz3b9/v9g2evToQXXr1qXc3FxJfOLEiaRSqUir1Ra/I4hoyZIlBIDu3r1rUqbVaqlKlSo0duxYIiLKysoiQRBo//79RETUrl07+uKLL4iI6NatWwSApk6dKtnGZ599Rt7e3pKYMf8VK1ZI4n5+fgSAEhISxNjTp0/Jzc2N+vfvT0REN27cIACkUqlIrVaLjyNHjpj0f+jQoVSjRo0S82eVD6/kmNUztyooqcxgMGDhwoXw9PSEQqGAXC6HQqHAlStXcPHiRQBAfn4+0tLS0L9/f6hUKvG11apVQ58+fUrVr9K086K+fftKnvv4+ECv1+P+/fsoKCjA4cOHERERATc3N7Pt6fV6HDx4EGFhYbC3t4fBYBAfoaGh0Ov1OH78eIl9zszMhCAIcHV1NSmrXr06fH19xZXc4cOHIZPJ0KlTJwBAQECA+D1ccd/HJSQkFDtevXv3ljxv0aIFBEFAz549xZhcLkfjxo1x8+ZNAICHhweICDqdDo8fPxYfL54iNXJ3d8f9+/dhMBhK3AescuFJjlm9kq5oNFc2ZcoUzJo1C/369cPu3btx4sQJpKWlwdfXFzqdDgCQk5ODoqIi1KxZ0+T15mLmlKadF7m4uEieGy9i0el0yMnJwbNnz1C3bt1i28vOzobBYMCaNWtQtWpVySM0NBQAkJWVVWKfdTodqlatCplMZrY8KCgI//zzDzIzM5GcnAx/f3/xSsaAgACcOXMGubm5SE5OhlwuR+fOncXXpqam4tatW8VOchqNRvJcoVDA3t5e8keGMa7X60vMwxyVSgUieqPXMttl/gQ3Y1bE3IUGJZVt2bIFI0aMwMKFCyXxrKwsODs7A3i+ahEEAXfv3jV5vbmYOaVpp7Q0Gg1kMhlu375dbJ3q1atDJpNh+PDhmDBhgtk6DRs2LLEdV1dXFBYWIj8/H2q12qQ8KCgIK1euREpKClJSUsTJE4A4oR05ckS8IOXFS/nj4+PRtGlTeHl5ldiHsqLVaqFUKiV9YoxXcszmCIJgcql/UlISMjIyxOdqtRrt2rVDQkKC5C//vLw87N6922LtlJadnR0CAgIQGxtb7GrM3t4eQUFBOHPmDHx8fNCmTRuTx8urxZc1b94cAHD16lWz5e+99x5kMhni4uJw4cIFBAYGimVOTk7w8/PDTz/9hBs3bpicqoyPjy/x1HJZu3btGjw9PcutfWadeCXHbE7v3r2xadMmNG/eHD4+Pjh16hSWLVtmcipw/vz5CAkJQXBwMD7//HM8e/YMS5YsgVqthlartVg7pbVy5Up07twZ7du3x/Tp09G4cWPcu3cPu3btwg8//IBq1aohKioKnTt3RpcuXTB+/Hg0aNAAeXl5SE9Px+7du3Ho0KES2zBOWsePH4ePj49JuaOjI1q3bo2dO3eiSpUq4vdxRgEBAVi9ejUA6fdxf/75J65evVpuk1xRURFSU1MxevTocmmfWS9eyTGbExUVhWHDhmHRokXo06cPdu3ahYSEBMmtoAAgODgYO3fuxKNHjzBo0CBMmTIF4eHhGDVqlEXbKS1fX1+kpqbC398fX375JUJCQjBt2jQolUooFAoAgKenJ06fPg0vLy/MnDkT3bt3x+jRoxEXF4du3bq9so169eqhS5cu+OWXX4qtExQUBCJCq1at4OjoKCkLCAgAEUGhUKBjx45iPD4+Hh4eHvD393+j3N9WSkoKcnNzMXTo0HJpn1kvvkEzY5VMfHw8Bg0ahJs3b6JOnToW2aanpyd69uyJFStWWGR7r2v48OG4du0ajh49Wi7tM+vFkxxjlQwRoWPHjvD398fatWvLuztv7erVq2jRogUOHTokudqTMYBPVzJW6QiCgA0bNqB27drifyGoyG7duoW1a9fyBMfM4pUcY4wxm8UrOcYYYzaLJznGGGM2iyc5xhhjNosnOcYYYzaLJznGGGM2iyc5xhhjNosnOcYYYzaLJznGGGM2iyc5xhhjNosnOcYYYzbr/wDrfjgJ4nxNbAAAAABJRU5ErkJggg==",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -376,7 +377,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -403,7 +404,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -426,7 +427,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -456,13 +457,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/Documents/GitHub/rdtools/rdtools/plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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jKUyzMCzVwoTBiZw/LIlvy+t5d2MZ7391SAsWaXNh0qvERxopLqsn0qinot5Oq8PNe1+V8/GWSuptLoTw8m15Y6fr9ApBfasTnaK5ZVVVocXhDnybXTXYxWX1mpfBF+wEWuPfYHOxr6aFTQfreHrpTu5//xu+3F9HpFEHioKC1rFVFdDrVCxmLXL2z2sPUF7fFnYQU0fCHfNMjTFjc3podXjYV9OKzenF4Q6Nl3B6BMdanFQ12omPNKD6omV3HW3mhU9L+dGCb3j/q0O88e8Dp0yxnZBC27dvHw888ACZmZn813/9F1lZWXz66ads27aNRx99lM2bN/Pggw/y0ksv9bW8Zw2zxmRwUUEKRbkJjM2OY09VC0adghCC/NToTi9e8AvZZHeHbaH9Z1EWJoOemAjtQ9l1tDngtomLNBx3fKAwzUKEQe1VwEC41DQ7aHV4UIAhydHcPjWPWWMyGZlhwR9zUdfqZMWOozS1ufB4BTpVwSu0Rnv+JzuY/8kOYsz6417Lih1VOFzah2o2qOh1CsHDiR6vwGLW4/EKIow6vEBcpBEhwOnRLLdpw1PJiDXTbHczNCUai0mHTgWb092pUfSTbDERY9ahACaDysyRqYF1i4rL+fPaA0Sb9AxNjiIjPrKTO7m7nnqr00OMWUddi5PKhjaiTXqMepUIgw6dTiXapMOoU7CYdKRaTET7Gsrisnqa7W52HW3GYjZQ5rOIok06rWFyuWmxuzlcb+OzXdUh5/S7BN0eQbPdzcHa1j6x0maMSEVVID5ST1WTncoGG0cbHXgFGFSFwUlRjM7UFPKOyiZ+s2I3Ty/dSenRZprsbspqbdidXpodHhrbXKiqgter5aZtKW/QChEUJqMoCnlJ2rhYfKSBZruHaJOuUzm5Q3Vt6PUqXiAh2khGXAQGnRrwUnSlJIpy4zk3N56shEh0we+VALvTi93l5cCxVj71WX+qqhJj1p6VXlWINGrPq83pZnOZFt3b6nAzY0QqJ4O/wlDwt9GTBRVhUAPje8EY9SqZcWaiTDr0Krg9guoWJxX1NtwCPEIbvy2rteHwWbdVTfZTFkAUtkK77LLLKCgo4PXXX+cHP/gBpaWlfPzxx1xyySUh282aNYtjx44d93jNzc384he/4NJLLyU5WXvZHn/88V7LU11dzW233UZSUhKRkZFMmjSJzz77rMttV65cyaRJk4iMjCQpKYnbbruN6urqLrftb6xZccydksesMRk02JxYzHr0Oh2F6RZURelkfQW/kF29nMfjmqJsbjwvm2izgaz4CLxCsOCrQ4GGrCf8Ywn+oIXjcSKuBr2qYNApVDW1RwLmJEQRE6FHr9Mi2dxerWHwCk3ZJFtMNNndLNt2lE+3H+XPaw8cNxVhxohUTblE6EmL1RooBa1nrPNZZq0ON26voKnNRVObi4o6G16hyTg6M5aPt1RSXt9GdZOd/FQLd0zNI8KgI8ZsYPn2qi6vW7OkBNEmHfGRRqYNb2+g/JFjTXYXCVEmxmbHhXRWSioaeGnV3m6toYY2N24haHN5qW11oVcVjHodRp2KEFpkrIIWhPD3TYcoeupTPt5ymLLaVnISImm2ax2bSKOeNpeXmAgD0SYDbqG5KSsb7J1C/uMjDaTFmjEbdGFH3HbHNUXZXDoyDVB9ARx2QLMwo0w6apodlNfb2FrRRKPdTWWDncqGNhpsTopy47V8QAUMqtaBSIkxE2nS0dTmYtPBOjbsryXabGB6YTKNbW6ifO9QssWEV2jPKPi9nTkyFaNOxaxX0akqkUYdFrOemmYHb6470GUHypoVx4vXn8O0whSy4iMIDoL1Ak63h3qblh5hNuj4nyuG859F2QxLiSY9VovUdHoETXY3RxrsHGm0o1MVhqWefEeysqGNj7e0R34GK+SO3+yX++sCClkFLCYdsRF6BiVGMn5QAtbMWC2yVNGeT4PNjd3pQVF80bIutzbeLbw43B6+OlAblkfpRAn7DPv27eO3v/0tc+fOJTo6utvtRo0axerVq497vNraWl599VXGjBnDVVddxWuvvdZrWRwOB9OnT6ehoYHf/e53pKSk8Pvf/56ZM2eycuVKLrzwwsC2a9as4bLLLuOKK67go48+orq6mgcffJDp06ezefNmTCZTD2fqP/xjY2/8+wD7aloCkXwdFUfHQfhwBl39UWPbDjcyaXAiBWkW/rapHKfbw6pd1ZQebe6x/NYHxRXUtjhQexGifiJJxMkWE0NSojnS2IbD7eWD4grOy0v0RRzGBFxqAG6PRxtL8fUe7S4PTo8bIcCgOnniH9tZu+cYt0/N6/Lc1xRl02R3U3q0mbLaVtxezcow6BTsLg86VaHV4QZFweHy4nV7QUCkScfgpChun5rHG/8+gBCChCgjLXYXH31bSaxZT6PdTWyEvstIrya7mxSLmfJ6Gya9Gih7VpQbH4gc0+sULGY9K3YcZdnWI3y85TBFuQk+C9aN09M5snXWmAxW7aqmzenB6REo+Ky2CAM5CZG0ONxUNTlwO93UNDt8vW4PzfYmLh+dzpjsOCob2mi2u/m2vIGx2XEc8aWTtDm1+9rmdHPznzcwNDWanISoQFCF0+3B7nSjM+vDirgNpmNEY6PNyaG6Vpxub8BC0KsKOlUlLdZMTbMDs0HF5bPo61udmA06AIpyEwAtN3De5cP5eEslX+yuoaLOhqIquDxeisvqqKi3k2wxsetoM9kJkaTFmomPNPLZruqQqjX3zyhg2vBUHl6ylYo6G/WtDo61GMhPtfjC7RuwuzzEmPWs2lnF8u1VzByZyv0zCqhpdqDXqQxLieLgMRsO38X4CyM43B4ijB6GpVoCY9mvrN7LziPNHGlsw+MbA1V8QUonGz34wqelbDpYT3K09l36S56VHm1mxojUTlGKuYmR1LdqgWp6n6WbEmMOBDXlJkZxxOdqrG/1BejgG691e6lpdqJTFRxubXw5K94QlkfpRAlboe3evbtX21kslhCF0h25ubnU19ejKArHjh0LS6G9/vrrbNu2jfXr1zNp0iQALr74YsaMGcMvfvELNm7cGNj25z//Ofn5+XzwwQfo9dpl5+XlMWXKFN544w3uueeeXp+3P7C7PDjdgmMtDhxBIdd9gd9F5HB7aLBpeW+pMSYOHGtBVRSONNppc3l5eunOLpWaP98nKdp03MoLxWX1xEUaA73m3uA/5kff2thR2URuYgRxkQamD09h1pgMPt5SyYb9tcRGGEixmCivb6PVoUVc6VUVp8eDQYU2X1TfmtJqdh1tDoRrd8Qv1/hB8azdc4yqJjtGvcrOI03aR+dLYNfrtEH6aJOea8dnh0Sfmg1aVYpvyhsRQlBncxMbYWBPVQuTBnd2O/oTmXdXNVNR38Y/SyoD7rPbp+ax62gzOlXh2/JGbE4PTreXLRWNVDc7iY80kJ0QiUmvBqLK/Fiz4phWmMKqXdWaldfmwmjQMTQlOhAF+vTSnew40oxe9eLxNawur6De5mTulLzA+Oz4QfGBqMZXVu+lvL6NyoY22lwebC4PWw83Ud3sZEhyFE63l2MtLvQ6bZTuRCJuQRs/Xbr1CC6PYMP+Wprtbkw6lTZXe91Or1cLb4kx65kxPIWDtTa2Hm7E5nQTYzZQb3NSXFbPrDEZZMRFBKLsPt5SidsriDLrEUJzJ5fV2gA40tCGNTMG0AJ2qprsHDzWis3pYa3TExIyH23S40ULIGq0uSipaASgrNZGlEnPih1VHKy10Wx3seTbSlqdHvbVtBDr61QkRJnYdriRVl+gkZ/aVmdAgfg7tk8v3YnZoHKksU2zqj0Ck0HHFt+4+okqtd1Vzbg9Xup9LvEGm4vSo83ERRp5a/1B6lqdeIXgunO17+WnlxbwymrNK1DT4kTRKb4gIUULznJ7EUJgMRvIiIugptlBbasTndCq5wAIjyA2Qofd5el1vu3JMuDV9hVFOeGcqCVLllBQUBBQZgB6vZ6bb76Zr776isOHDwNw+PBhNm3axC233BJQZgCTJ08mPz+fJUuWnNxFhMPjse2/8nKw2yneV0NcSwN2t4e0GDPZCZHMGpPR2XVXVwdCUFJez5v/3k/JwWPgdoPLpf3bza8oPYp8vYOi3ATuvXgoTXY3Y7PjyYqPJMKgI8Kow6hXcbi9nfzcJRUNON1e0mJMpFiOb8UWZcVgMShkx5rA46GkrJY3H4/t3v34eCzWrDgy4iJwuLxAI3a3YO6UdgurvLoJp8tLY5sLo16lzenG5akhPdZMWqwZvaqi16kIIbQqKh5tjK3TQLrHAx4P1nQLcyfm0LT/EIdqmqluslPX6kQIrQEBN2a9ixiDhxiTh0icFMbqsbYcBXwBPdEGki0mZo7UQvljI/RUNzsCkYQl+6u1aJNGrfGzvpbLw1eM4KKCFBxuLy12N7urWgKNrz9ab3phMgm+4BCTvg2ny4PN6cGkV/nPoqzODZoQzLKmMzojhvyUaCYPSeTcnHjyEyMCDeW8y4dzcUEy+WkWMuPMGHwRdburmgON5NwpmvL33/fCNAstDjd5SZGkWoy4vVrgTF2LA6fby4S8BM4fmkh8lImx2bHsOtp8QgP/NXUttNhbqW9tYueRY9S3NmFz2dCrTsCBggOz0U1RiplLK2dy/8QMXrz+HD776UX86ZZzuSA3hvxolaL0qMB1WNM0z9GsMRkB15/HKzAIL26vwO0VDEqKot7mIlLRxnxyE6NQFIfPGtQ6ZpSXU1xWT25iFDkJEUQYdbS5vdh9FlOUSYfHK5gxIpWZI1PxCEGL3c0Xm/Zg0Cmk+NyZuYlRRJv1RBi1cSfQrJl4kxrSyPuf1fXn5TBxcCKqqhJl1uNwezlUZ6N499H2G/fHP4Z1n/PjTUQYbiCZSqJaGindcZD4fdNZs7ua7ZVNHG6wU9OsFakGsO4v4d5JWcwancYI4zFyEiLxeLwYPKU43V5GZcbiEWBzuLE5PUSZ9KRYTEQZdYFz6lTNArbb6zE0NpyeFlpeXl63CkhVVeLi4hg/fjw//vGPGT58+EkL2BPbtm3j/PPP77TcarUCsH37djIzM9m2bVvI8o7brlu3rttzOBwOHI72BNumpqaTFRuAEqD09VEUcBlFwyYSXfUYY8hmzZC3mDEilT1Vzfx57QFyEiKobGjj29dGM5YmrMxm+/BZqAd2UipasY5OoD2eSunwr+8aNz+DFRcc+Alc8Tig9YwjjTrSYs20ONw0tzlpc3o6BTUU76vh3MpHaOMw/7S/xG1vfMUPvCu5f4gHbvq1luTkp74aq7uC7Y6DNNhcbP9qD67tc4kGlryWy1zdQkDhlok5WjHfx30Rd4/HUnRnGd/ntwzWf4mj9QpoPAdiYineU8X0su9RAzTkf4gw6og49BTTlRJ2VKezJeU1HC4PzR4tlN5s0DEqM4YIgy50IN3ZBg57+98vPEIRf8UO7OICYltGUEscLuNeUsV2zKjEY6YROwLB4ZU7KAGswKw7yyjd9BMKXFOw3vco988o4KJfr0avurC7vVQ17GH1X5ZgTYqEY8uAfYHrjJm1TXPlAbmJkZqC8ri5ZutvucYYDbMf580vyyhd8TdG8SKr3d+j1H0rda3OQLWMgKXo9YKtEWucl3MSvTREKHx94BjWxpvIKQcS/gnnnx8Y1wFfQejFJYyunYfXEcHHX/0aa9Y5nd5Pv6up1eGhye7xvVUenC4PxxpbaVy3kRfPdVAy6yaKazX3W7c1D/cUg14PeWNClzc1kdeyHQeNHFBa8HgFOCHXGEmNcKBXFBIwMXNMOt4tP6AA4IUsoJASywRKm/czi0aslMAOYM5aWPhzYAPcvhVrTg7WrDj+66+bOVbTwHjHsxw2ZlFmuoOchEjO37UE7771qLG3sLuxgUd4lD0qLNUvJkYv4PUxFOEB7ubGOx/mxwu+weaLVNWrsLOymYx4M3/fXM7WikZtOW/ykH4FR6t1XJj5d/akpbJiRxX5qRaa7W62H24kyqhyq3odeV5oWvMHKLqx/Vv13bu31x/E7fHi0hwGHKv+N+7qf1By5Aasex72vU8PwuONnZ5dJxqq+enRK9ESRX5C+c4kpqPFN3ztuIYj4j1AG2Mtr7dR8vjFWPkaK2ClgEWU4m0Er6JZQGolDDP/mW0xGZQ3OdGrmlEyflACdpeHz0uryXDcxVxjI19XD2cC0US4FYp23w1T+nc2h7AV2oUXXsiaNWuorKxkypQppKamcvToUdavX09GRgbZ2dksXryYv/zlL6xZs6Zfk6xra2tJSEjotNy/rLa2NuTf7rb1r++Kp59+mieeeKIvxA2hNPDvMubsWYYVWEg5Wfvu4oPm/6PFAwePabkf2fER3EcTpYCVJYzcWUcpWymgDTb3XBhXQ/NxI34LzT8FoLzORnpsBIfqbLg8ApvTi9lA6Nid3UZRMpSyCYC/NT+DjZ8Qb/oTC/dBwQvJWH/+UPv2e78Aey1G2zFaDjSRkhcbeMFGOAAxhzd5r8vq9Na2Gqx86fvrE3jjJzD9JorWPEIpMBWw7v45JalXU0qJdkyOYK++j53K0+gULVgkNzECgMMNbazdc6y96kZtBbQFj0v+FavvOUzlC+ALVHLwcijQHygA9qAN5vufmRWwLv8AKxvg2AZo+zlERHDV2Aze/rIMj91FlnMFccZ1cKxz56fJ7iYp2sSxFqdWscLtBnsLHHydEuDbZ+KJ+d5/UsDTRAAz+ZCKtitxqEk43F52VzW3j78l6KFuO6WV9USbdUS6PGQN1eEt1mTnsyshYR2MHBWS9nHbYDPeOq2T11LyE5jxMVjagw780/XoVQWH20uM2UBTmxM9DuKMAn2bm1j+AJvbsBLNnvTvs3ZPTffT++xbpf1rToH09PblVdvIUvfQzDF0Bgd2pyDSqJJHNDnpFrx2LwXpUVgjD3c44C5Km3eFPBMAFgZ1bt8ogseqQVGYMSKV2n3zmWgsAUoozp9HQZqFa3b9EXCwsPEQMWjW/DAdCK9g/eYShuHxNeqvwmvbGc4sKslFVQjkxFU22APBKwBprAA3pOk9WL+5hl3fXEhBzn3YUrMAqG6209y2B3+zXtR0D/xLhe9dH7j3r6ze6ytFphAdocegU8l3v0QczZT6lFngmh+/CB7/vOv77mf/+sD2pUC255j2UhvgTuAxnsXGg4DmivxY+br9+JQG3n9/13UYYN1/F/NQWMJdrG47j6iEVL4tb6AwzcKY7HiuPKQp2nHsDOxrLSsE5vQs60kStsvxe9/7HiaTib1797Jq1SoWLFjA6tWr2bNnDyaTiauuuordu3eTn5/PY4891h8yh9CTu7Ljuu627ekY8+bNo7GxMfArLz/J8OTHG+HxRrobiSxgP/HVz3OotgGHWxvk1yoetGNlDXOow0ob0HTcXwmwEM0q5IUsisvqffk+WgV7g05BIFBV7eMPuDoPHsZqcQdewR/oNmlRc743vLT1mVDhK0rg0Dd4D+xjEA14D1YQUFsCRgAPcSMJrV0Ut363Q8encTEsfhorO5iD/wPeg7XqzwSrwnEcYJzuOSKNmsujrtXFvppWDh5rZfWu6vZJHg9thYNfwZHt2i9wv9v/9XIoZLkVuKbDNtp1/rRdgD/+CoD7ZxRwYX4yCjDKu5JI333viBaNZyQ30VexwuGAwzu0+wmozuf5YvVGimhXpFO5n6vGZviiC41sO9xI6dFmiov3ULplAxzcjrdiL3PSWrkmrinofgELp8CW9SGD/rs2f9QuD9/Ai7dBbXtEst/NlpcUxVVjM4iJ0JNiVplicVKg2MjS28jmKNAIm+fzQXEFLXY3DrcWrh3idvR6Yf9m7Ve6IvRmHNqM98guIqlEdbUSrdiIpBUzLQwztDEnR4/V4ICWui7u5PFwwvZiQAsEup7NgTUFbcd846ia56WAKoLD2xIdB0kTdYS+peu4h4e40PAaOg7hq50NhDaiYzssKGQNWYfmMOvA+3CkjJQIPSOoCG14v/whvPcrcLkCY9AZcWauHZ/N5aPTmTg4kRE0BxwxpRD0bn0Dn37a8604WBz6txIkoxueULcQyb8w+IK+aoI27eod9t8XK4IRvMp/czcj637PROdhcDhwujvHAGjv8vEjqk+WsC20+fPn8/jjj5OdHTrYnpOTw6OPPspTTz3Frbfeyk9+8hPuv//+vpKzSxITE7u0rurqtA/Ab5ElJiYCdLttV5abH5PJ1C8RkLPQXowCfO5HtHfMC1zM57SKCDYZ5uDxRhBpVNu9iidAadC/ViBmxYMcMNxNtElHvc2l+ce9ArNBx7BUi2/KjBYqvYfYE9cQaFgH6SFJvylw3AIE7NgKI0ZrC/Z+C/ZmCoilFAsFCUastYQ0DIlmuIEH4W+9kXxzF8vqfL1mTUkDXMXXJPMaa2134EarlKGoCnpVy18rLqvHuncpiw5UUomBGPSc4zuG/9fdvaKLbUJofBmYD2hjaxaznihfGHxpF/tZX8tl3p1l7XUQm5vBpjUhBUApLWS0LGMpMMS3TyEtbF33HglTbuTT8gb8kQU3Jrmh4QClrR4KEjOhvptgoiWXUTTuLYoTx1KUG88W/kx+0LXhWQl/uBPu+D9IzwkEzfhr9CVEmTC0NGF07CARHcMsSVwT+JRaqas8hMsbjepLewhMqun1QlsjVGvWIKZEKJwBaT4rraYMlSo8Xjtubx6KAKEqVOmclB5xYE3wWY0nms//wUzI3QeWWK6h3Vou2buI4ry8wPUHP98SYCJfkNqST0GHw1mBS/mMTKWETcoV1BgnEx+bqs1S4AuOSbJ33scKcOx3lPIXvHwfE6s6Wf3s/jW8WkHRlAcgzcKNEzR3qd+yjt4aeh9KaW8/WD+H4pZ/UXReYddBIwf2BPYB2pWZx/dT4Anz27xBKhEpF5EclMkU/O0WBJ8zZJmXCSzHa1uF/cBFNJondJYBgORulvcdYVtoe/fuJTY2tst18fHxHDx4EIBBgwZhs9lOSrjjMXr0aLZu3dppuX/ZqFGjQv7tblv/+lOJdcjLgZ60/6UJdthcqSxjkvohKQY3BnFyPZuOFoaXfzHWdRSjXhtnmpCXgMPtpdnu4od/3cyqXdVablLdQSq2hfbuvs/iwP9LgZK/P9K+srUcPJVofTwXOFyBHt4nCqDTFuOEhdsfDCikk70ugCl8ykTexeVxEhNhQAV0ioLbK2i0OVl4YDNeSmnhGGXeKrqwEbHShTXWG/6tpafMGpNBVnwktNe+ZVFX5/EFL+ypaua/3viSRd+WhJw/m3/RMY12NC+yaN2XVNbbqKhv42BtK3tKdmFtq2ZOjB1rLOBqAUfXeYLWr29jrmcTeL1U4ei8gXs1vP5j2L+1PbgiK44Ysx6n20MODiZRQSb7MdeVBXYrAbxiCaqieTqiTEF9ZJcLbE1AhfYrL4H9n7evr63FSw16tQGHqqNNp8Ol09OIjoKMZNBFtf86MCfo1z0uWP83sLeFLN3GO1qUXxd7lAIGPqLWvr2LtVqDOdJYw03Gt/g+73JO41dYY3VMHpLEkOQo7R3XdbkrBdRTyNvMpLzr96xmAdYPf8bcxAasme1z0s2dktft++hXbPqS71G8v5u83+ZuytUpaO+q7329necwVH/DBtrf22A5rRBq/QctuwaYg5MxfEqq/ZlOiqUAIK1/x8/gBBRabm4ub731Vpfr3njjDXJycoDux7f6ktmzZ7Nr166Q8Hy3280777zDhAkTyMjQwsEzMzM577zzeOedd/B42nuxGzZsoLS0lKuvvrpf5eySW24J/Le7l/V88Q+ynX+nxbnO7x3pwgVgOu6v44tYAMzgv3nu+4UMS9Uqy8eYDdS1ujjS6OBQbSsHjrXith0mg9CoxwLKwE1gWK6U1Vr0JQC1QAOl2IAESh1xgUZjn+FJ1mkF7n0ZpoCj6wb/RLmIf3CrbjWJRoWEaCNxkVqYvzYueAA4RptHxUbHnKkRgf+F3qvhQb8ewtJX3qftmxXHxMGJWnvmi63pZlSJRcXlPLu8lN3Ow1SXtU9hYwVG0RziAvMzlbfxiiatRqOAFXwNrUeh6RgoOu2n68Hpsuoutr37cvdK270a/joP9nylWVdoY37n5SUyxuziHH09mdQxNrPdXVAKTFeWoSgKiVFGUixBqR12O7QEe0V2Qel6qD2i/VlzmAKqSOIYQw0e8g0eBuNmqsGANbJVs1z9Pz+DHuj++rriy0dh9/qQRaOAOEPX310BEA9kcSBI4Q0GtLFqvwvaABSwhgL+SE79+7h2/Zv/HJHYQZeFWiTB71ZXykFjDbx/N3y5sD2Iyelkz3Eu0wwUrfpJN2vLA9cWggoo2nL/unGOhxnhbn9vu5Uz/lIgrdOZtO1dIa56FV/nt7Fv05G6ImyF9rOf/YyFCxcyZcoUXnzxRRYsWMCLL77I5MmTWbx4Mb/4xS8AWL16da8DQpYtW8YHH3wQKGi8Y8cOPvjgAz744IOAlXfHHXeg1+spK2vvHd5+++2MHDmSOXPm8N5777Fy5UquvfZaSktLefbZZ0PO8eyzz7Jr1y7mzJnDypUree+997j22msZNWoUc+fODfc29Cn+l6bjCxflgRnG5UwQi7XelJcuepXDe/Hr+nzWv//SN/mkA2eQond7NdeRmwqgPPCSBF6WoK+2AGD1W76/GgE7Kk2UU4fqsrVfk5rN14ZfE1J2WWgfzokqtY73ogB4kDdYXlTG+VnRtLm0hGx/4i1ApE6QpHbIEyu6EmK+BwwKWjgBhk1s/+XO6EGSCvC5s2eNycADAfdQlx/Y4yNYsaMKg6pQLapI4mjI6mBL0X9dc4BxfM1IwyYiDFqFixkYgDqgHowxvl9wRYnOeYCjHC8wkvYedyfEWnjvMdj2Obhc7VVpRCNWdxVzaMUa0+6CL0BzjY42NKMo0BacQ+nxQHNw6oQLykpgzxptHRVYgVuAoRgZgkoueq7JiQKXs/3nDPL0XPdzfCNVQcR1dSU+2mDx70KWWIG5hZFdXr8VOA+AXe3PIGU0MBrQhi6C37toarHyd4axmNrP3+X7vuUFAOnno4VQ9MTYLpbthk9/CWtegaOHobq6c8dIQFWnYYgv4G/PdFyI9o60f/ehaxJCvESDBZzrBrx+l35uF8c7F8ZMh2GXgzqlm+tqP59f9uI2e7fb9hVhj6HdddddCCF4/PHHeeCB9t5SWloaf/zjH7njjjsAePjhh3s99nTPPfeEKKqFCxeycKF2Ow8cOMCgQYPweDx4PJ6QCUVNJhOfffYZv/jFL/jRj36EzWZj7NixLFu2rFNS90UXXcTSpUt59NFHmTVrFpGRkVx55ZX8+te/HrAqITAFaE8Z0HpuZhbie/AGiMbF5aZ6zbLpqnVM7NxL6kRtAZqJFwUEuVLsC2HTECw508hJSGRzWR1HGuwoCuhUBT21QFXghRyG78VX8HdYNba+CZf9V+BPL3ayacOLPdBoXFY0hPq6JL4+8AJ5rp9q16NtzHZV6/mGMgItFrt7CoihlEQKOBDaOK19gEjuIsU0nX/vPYZXwJRAqFYjZp0xtPOQdx5EpUBdOuzaAe5GsF4Gufnt23jboKoB7Mu6Fuat/4WfvoA1K45PaL8/na8L4DAzRqRysNZGlkMAWwMpAX46juv43bMXqQuwk0W0aRLDaAQatJ+tC1djwgSo2whBVnbn8cAUoEP5N7EePnoe2hqxjroUa1YeFNvR0g8ioXVIYFP/8Xawilrd9VTUt7VXtXA4oPFIB6G2w54vYdhUoN0VVpAST2l1KwUpUWDqYEEHZyNHRMJlj8GymwkEGaRfAEf+0fn6A6zpvGh9N88xcE1B50xJh5hoqIgFewUqe0IVjIBM5Wtw7w29v/njIS4Z9iaDayd08HYAMOJC2GECNnZYUQPr58OxGtD5xhy9hLQBZS6oNw6mUOwHxfdt7nwa69oRcP73Q44WPE7vIhuDz2o7xHXAXgpYoe1vRPMuuGGfERh/C+xaD83HCPiH0mdB7nkQmQgJGVCRDodLoItQt2CPUtHg/nc5hqXQPB4P+/bt49prr+Wuu+6itLSU2tpaEhMTKSgoCIkWTE3tfTFN/7hbT7z11ltdujpTU1N5++23e3WeGTNmMGNGTz3tU8zoW2Brxxy4URSwOTD46v84FvqMjIMdj5Ex9PjnMUeAxwnGIXDIBkF20iyeodhyAUWTtOlE/ufDbXi9WpVxdFUExzwFB64EL7NyCHa1X0cBFkpxU6AYQfgaiMtHAvD0hwY+3HonV/FaYFA6Rn0amBcqc+FE2GXr6ooDWGOnYk1Og70GYHfIR1vInylz2NjlOh+3iNF2UEDReVExhjbqibmgi4CYFDAkg2iDggsgOchl5HHBRUZY3k1D2PwatDwB0dFcQXuPdyFdW0PDUi2cPyyJDZsqgu5j1wRbBNnYsPIpKw8n8pLyL37k36/BF6Epgp5O3lit81H7Kd07P/2NTAel5lkHyzzgdMCYmVC3B83P3AhlezsdZRTvsyv2VlJjI9orxDQ1QVNHheaCfd/A3i9DllqzM7Eef/o3jfMuhpLZcHihdryR34MjzcDxS+0FKPmw+1UQ+v1FpoE+EvKj4WgM3moHBEXEtgdrdEjTSBkJOjOYo6A8Fo7tJpCT6Cd3JBgMsM0InrUdJHHD7lcIuC6DO7QK7FdB2M8hUt1Pjm8crBTgs1uwpnwJBe2udP87tBJI43pG8GsAooZdDuNUrH9boQVa+dyQCJ/X3Pp9SMkDrwGW/Q6ww0WXQnI6RCVAdDJEJkBSDuz9Blo3AG2dzgtgtQ6mvwlLoQkhGDFiBB9//DGXXXYZhYWF/SXXd4NzJ0PHOJUhhVj3tWL15W90pJkkiB0LjSuBREgb3XmjjmkIlkStQU4YCTHAtv8LrLIC1u3Pw+yFFJfVk2IxU9nY5vt2KgiOT/ZHOQGaMvIp2YVAwT/+FNQgxwGpkBzV3k56PaDTIwyReC0X8UFjMf/JN2CA2PMvho7fck4RuNyw7yhgB2IBiyZTYJt8SB4EbiccbKYUrfH0N93f4128Ji9r7VO1BSooqp7kEPMSiEkFUzTYEsEYpSVhJ6dDZGQHmUbQI5tWwMWzQ1w40LWyKn7tLiKnzCea4yfGBt93FbDyJYddadgMUKr4ju2f2iPYDZU9DnQqtDnA1k1jn5Pla5sFoQHbABvgMw+4mtCaQj+dZR4GXBplo2jqiPbovE+3UaTf24Wi3gH7O1okPVWR6OBbUxSYfCcsqwSvG/KnAhZYGXyNqUD3U66U8O8QpRWsxDpFuhpVMCaAKxIyTRTYVUqb4imggj3UBt63TmNUkTFgGAmmJO3/UQlQlgC0RwqTNBhUIxijYasB7Ku6kLYm9NsDcEOrACcj2CPqyAlS5qVA6YJrKbhiIdbxwwOylQKXAJ8NmkbywS+JxMWV54+EeBVGzYNtT2sHUAG97/NOyYWYOO3xTD0K9ibIyoWICDCawRwJEYlgSYKYBDicBfu3At+GXIEXwGikvwlLoen1etLS0gJTuktOktxctMa/oX1Zch40t0B1LZ16zUA8U2DocNirQIwF0o7nowdikrRGPzodDDrYtwvagnNXVsFHv6Vowl1UNrRR0+zgUF2rNpasAoZQ33spaG97kFIrZUVI8iY4Ka12hjZmXg9Xjs0iI9bMgbKHWb7/Ldwk8P24aDDfDPZ3fBveADnngXBBUy3UHIaMkaAzQPlb7cdLyYKUQvC6wN1KQcU/KfVHq/i4jAVEmn0NohfiEYRaKwaIiAZThPYzRoLH7WuMOiq+JLSQgm1d3+c1D8KUK0IDd3wdgo4uxSI+5WPnE6T6Gt2eoiqtjMYa1PNZCBTpN3SIVfQ9CG/QGFZyntb4O13wrY3Obi0g26p1WMoEmp+0Y0TcJvjCA1QGNfq2TkqqFDi8dzEbhVY2a/n2KnIa9hJNTRcKzQWl34YucncReekn+Jr8jBgLDVdp+yVkwHBzqM7NnQ5l73V7yI5KK/jvTuHpOgO47WCKBBSsQ01YHSlwpBxr3X40j0cX8kcnQFuTNiwQEQ3mBIiMh50qWk92OCTlauXpFR2oOtipg6Y1BKKKfPhdmQsh4Hr0qmDQR9CiTKCORhL4OmiPcko/mYd1xLsh+0MEjMzkw4PXk2P0Mk5RNNkmXUXJtveAMk0rKNoABUYT6BO193jkJeB2gdmsVQgyRoDOCPoIiEuEqCTNWotPh63R4Px34F4OB4jqHK3a14Q9hnb99dfzl7/8hSuuuKI/5PnuETEZ2pa2/52cp+Xu2JqgZQ3+wSb/izE9ZSqkJoG7GQxRYOhFr0eJA1SITQGTHoougX+XQHAwwtZfYS24EOsV2pD4/E924K6mfazLR4j14dcLuo5BDBGUYqcg1tDemfdZjdYMrXLHW143VY3XolcUrcbbrHtgoU+hTboC4lKgrRCGNUL6EYgfBFFpUL7cJ/doSBwO8amasva6sTrdWKs/7pQOcCF/1/6jQhwWCogJWjtKa0hQwGwBnUlz25mjOlu6qh6KboHiB7u50VVQuZcStPhSIJDnU6rrbKVt2FtDPaVMIXhdAv5B/ACFE2FXu0IrAFCPBOyWEsCq+v4KljkmWftbeMFlh+2NwK7QY8dnE5hZ8oCq3aRgKxjA11C2N/qGTtdSAFTzLl/XXcuWigaEADtHuU9xdZND2cED4e0h2Sx4Yi6vV2tMFQUm3qiNr+kMEB0DXAR8rm035Fwo2wDs7/KQHZVWVzlWAYwWzQJ2tWmNuKJo312WEaIj4VAUUAZ0CJvXmTSrTG/Tok+NRq3TpDPAATMMtkKEBZIHg38qVqMBdpihdiXBrrt2uS2Uqtp4qYtCopQ4BsfHY3bOoLLlazJA+y51UMBq+EfHIJFsmpxedFlDOYyg+FAj1sw4SMihNGkuHHs84JFpBEoON7bntiWka5VtdEFRYTodRFq0+2KKguhUiErW3r3VB7By2PeuJJ6eCm3s2LH87W9/Y9q0aVx99dWkp6d3qrQxIGHwZyoFk+DbIIUWmwupbZqVUOoAlzY2FehhnTsaMiwgHKCaISqud+dR9Zo7TafCoLFwbDbs+kPoNh88BJmLID4oOi7YrUh7BF4pUK1CiptOeTdWUwrWlBhfcd6g83t9biWPh3FD0thWUUdVk10r0DpiJKTOAXsjTJqq1f5LyYfWOoiOg7ghYI6GxElQu18LKkjOApMFkoTWaDsd4LBT0LiiQwRksEUWjzU1Mcgb5QtwUFVtM2MPAUKqCqMuhJDUvEggKArv/RdDlb4//64DpUBL/e9pFG5Qgu/vUOCr0I0zR8Ou8fhdVVa6KMll8rlHgwMo9HrNFeT1gnBDmw32Owlp5FOGaUK6fIrnoN+C7SZ3CdCUbmg5Kv81J9fvpdEyFLvLgwUniLquDgC0hP7pcnW9mXZRof8PKDW1ffxKb4AhU2HfF5r8SSMg9yIo61qh+fE/p+BgjoVB66wAMdlgqAJHC7TVa9aU3gyommKLToCyeGjdQch90ymgmMBg0hSVooKao4URR+ohYYi2zBihdWRRtY7FyAthlx6qP6PjuJyVCVhjPCxsOoDKaKqFmR31LRzTpWBQLiPVvkzTN/53rrTDN05iYOYH8M08oShgMlEw9RJKP/wnwQUNQqatMUaE5FiGoNeDLgb0RoiK0dz4MRdC03vtlv3hRqxJJzYrQ28JW6H94Ac/ALQK9p9//nmn9YqihOR6SY5DzlT41oTmskiAhCzNveGwQXYj7K8nJNovKRniErSPQm/QPqbjIYT24eh9b2N0MgyZDLu2UcLaoLGEYvj4Gbjpf5k1JoMlm0IPU8owrOwJfPi7dSNJ8W73rQuyMmKiNctJiPbOvupzzHu1BtyabsGam0iDzaVZaIoCNz2vlWCKitYaLZMCWWOgsUqzLgVwzjRoyIdMq8+i0mv/JmSA1w5tLVhLbFjFOhbRORRCRQfCg+ZQsYM+KPJKVTWZhehsnYG2LLFDsJNuAniCxm7sfwt1ver85/UzDNhDAXAp/2Jhh+oP1mHDtTywYJKGwdhJ8O23gJas3snp7/ZF/AUPB+h8LtO4FG1irUInuGxQXovW08jSAmFQfAaConU8yhTwdLbUAlaMmgbezkUKCgA333LpRd9jxY4qvPu8lKIFkHQX8BLA2EMGkeho4onQZYrPZTf+Ytj3D8CrdXYGj4SyWLoa8+tpjLOTtRYbD5HR0FKludhs9dr9NkeA26BZXaoR6mKgcrFvpxHaNye82r01x2jbtDWD0wmqV3PNQahSUxTtVzhFW171Bf6xTU0xZFEQ66FAjcDaYGWbOZK0xCgSPU2UVlnZot/NOPc+MPiv0RVybSUkBKbaCakqIhSsIwuw6h6FRbdRQh0tpIdOAXW8WVEUBQxmiNJpin7ilfDpe5QC9aRTfKQV65ieD3GyhK3QejNppyQMBg2ihGxK2UsBKVij48CbpeXeOFvA3QaHDhKwAiyxPkslUxvjMfXSjPd6AaEN5EbFQuoQmDyT0vVaNEbgo97/R1hnxXrBTSFWAEBBzLnQ1J7i2cYQbPrtRLoBvZZPdg1obk28WiMajKoCOt+YiGBsVjzfVDRwjv+jiYnTrk94feMKKljitY/dYAaPXbPaLImQPExrSPwNW0QMJOVplq3wQEkb3pAxBd9twADxCVA9TLuneR1Cif0NSneYoyDxOqj9J5APo4vg287fRMfAkMBI57QnYdUNgfWTITDOpgIkDEbLefIrDAskpPqCfyYBX3SZfxdQmcGzH/g7EQjNUksrAJzalDZNByHjHIjy9dAR2jEUNPfaYeGrwNtucQSsmPQoOGxBixRo67B+GSUxD7PWoONb9jMDb5DCiKArNxqgjVn2Cp+sooNKV1VIHQRjpoHXqYX3J+VDxmVQ+X6nowQHWXR0MwZba4DmBaAVYjJAF619Q21N0HpMU1Kq2feeGqDSb7EXau+ty+GT1w16E0TptXfW2wbmOJ9LWGhub5NZ+y79JlYhYFLh0GrgGKVAU0QGpXY7c/Iz+O2QSymJSOGb/ZW01NdysKqFMvUCksz7yPGJ3lFZF5MYMpFnyP1DB9nDYdQdWLetwXruHAh3/jW/O1ZvgPRhQDwFNLOLeApzwjzWCXBC1fYlfUhCAqVkAR62k4lVpwNLCiTYNGXW0gLm88D+BRCjRd6peojsuvxYt6iqptR0Ok05WOIhZywFm6+i1Plh6Ee96v8gbSS7IFDzbw7AeefDygWAv0TQMA6TyjC1SvME+YMfYhI0pQtoFTaCgivU9uAFa04i1pzEdssRfI1rUHKAzghmnWZtuFSITdU+fHO01kD4LRJjhPZvYp5m4TpbKdh1jFIOhTRebuK1nLOMXC2VISsrvPuo08PEWbDHrCmf+Ez4tpBOY1MdCDQsI88BXyBbAb7MHZ/+9IIWtRmfDfV+hXaOFgGXlAfjJ8GmYgpoDWmMrdD+PgQaei2AAVWnNZhGhZIWA9sPRTIyZzJWb6YWBanqIDLOt5/Qfv7OxGGdL3qyQ+h9dByaq9aNlgsWnC5/jH8uWc5WXR4mX7BT+7vV2VUZwBTX/c0TQR4f/3vc1cBcdAwMv1QbL1SNWij5MGuXCi00gKmdTiH74LPAdJrXJNKrBYfoa0A1gLNRy7dT0QIiyAAatE6XwQSomjygPWe9Qfv23A7tPqo6n0vY4/OiGDRLzeNufw4ON1RtpAAz23LyKUh3g9kL0RasmQmAlwffOYDAiF4dxEFmksPykGvyX0uRKZ/iSEPXk+8qKsQkwqTZ2lQ/2SO7fh69QVF815eP1duCNX885PTCm3SSnPAUoo2NjWzYsIFjx45x+eWXEx/fxQ2S9IqCQeMoPehmZPqw9t5aTJr2AWU4wVYLh9p8obJG30cdFE/fW/y9Qb1RG0+Lz8B6wZVYVx4kNMx2F6z8Pzr1mVMHg3IBiC8oAL4xp2KyjwXlX4FNtPGcaO34CCBTcwcF429khbfra1AUEEFuMP/PaNTChPW+wXUUX6kn37iKMUJrnBOHgtuJ1WnHun8F/ga5FBg5ZjTERIGqTfZJGPmSmuwq5FpBr2gRarYWyDoHKkIVWkmXO2drbiofHa04FSA2C7LyoD4DqAHdSK3HG5MICQVgmoTVsbKzCy9Q8sqrnQdTUCdGD27Blmo7jToLuxxJWPNSIGmQz82o06Lv/DW1UNqfT7nXpzuClFpcGmTnaAECrUZoCqn/gmpbSS234PUFHbXLGoMW0dtFbVJDx3JkQXi9aE1VkBXaVeSjTgcpQ7QOjU6vuQkTBoPufF+OlwnNVtaiVEMjHbOAZkp97skQy8YUBYpeu086PdhbITpFe8ftddBao1lsXocWEeg2QlKK1vE0KJq8LocWjSu8muKIitMiavGt94j2dToDpA7znVOBwskQYcAanYL14omU7NvFwooaCqJdWDOhuLwZ1WCkyRlJBvHUY+Ub137OMewOXEtASY/Lx9rdnGSKoj3rhFwwRGsd65MhNhaGDNPuTd55cAoKWJyQQnvqqad45plnaGtrQ1EUNm3aRHx8PNOnT2fGjBk89NBDxz+IJID13AuxpqpaIiZoL5Y5EhIytYHo3HMAB0Qkt0cYqbpuj9ctfutHRWskI6Ihq0CzODZ8G7pt9SIupMNYQnQqFI6BnVuw4oVLrJSuOwr1/wrd12AkoKhSUkKjovyoOk1pdUdwT9zvAlRUbTBedWqWm/+aVD3ohdZomCK1HrA3X2tAHK1weClW2rQGqmCMr/cYqym0uLje3Ts/igLR8ZA5UovuMrfC4LFQsYjgUOuOPX+AEiKw6vVocy183Gm9FyA2ETJGwL4tWl5cdp7WiOojNevtnIm+Z3Us1Jow+lzPQkBEVntwi6pq16k3MCYrni1CUBgfBzEC4pODGlF9u6XmV2qKqj2nMkBUEbCaU0aDYtBce2162LqRYIU3hH+iZxbCZ6EFLARDKria6VKhGSM7L/MjBFp6S7Alr3Z2Oyqq9my8vkg8vRHic2D0ebBbaNaPIRVqNYUWMlZmGQStggLvus7RjsKr3U+dvt2d5mzV/tYZNGvQEKUFMMUngNMI0Zb2zoLiV2qK1gnwdypVffu4rQ7NxSF8YbF6g/a8/Z0LvUnzTETFsr0WWryR2pjUKC2wo7IuE9VjJz9Jx2srXTjFeSS5dpMd5BwpBawdZknphKL60lcytf+fDHo9DL0Q2hogZ7D2dz8T9hleeeUVnnjiCe69914uu+yykPD9K6+8ksWLF0uFFi7Z52j/pg4L9alHWLRetLNZ28YQ0eNheoXf+tEbteNFxUH2BNh6ObQuDdm001hCVCxkFsLBMSDcWAdlYNVP5o0PP8fi/TrQgX76q2ryc9O4Jj8J4pO6HufzD+T3RMeeuKJoCsvrawyCtwt+lc2+cTjPMBjmgFYbNCwHVIjP0I4TEa2NEZ1IKLHBrI09GYxaJYiEPDBNBceqwCadEmGBr9FjRQf/+WP44ONO26mgjdeYU2DQKGisgEHDtOszGDVll5APiZOh9h+hFkaqvwn2gLNeq3zib/R999Gam4I1K1bLS3M0a88/oBh81m60Vq9Qc4N5fUJ54WAzmlt1sBaKrgzTPAhJEbBtMIh2hVYAFLGXtb48xYC1kxwDlTFoATkdlJrOQLd4BVodxaBtAq5pQpfp9SBU7XpUgyZr+kgt6ETRgzcWajUXZPv7PR4y88Clx7pvXWfrV2kPZkJv1o6v6kBp9b3HqqbQdCZISIRWHaRmt8uk+NJCjBFaZ8xJ+37B1+L3tPuVmsEEiVk+C9kLhkgwmBiZl8v2iqOMzNMiBq1ZcYGZz3E7WFF8kLL6kVRwKdm055seheN34Dp6R04KRXPDRsZq9+cUELZCe/nll3nggQd47rnnOkUzDhs2jD17jlcXWtKJ2FiI8oWqC6FV9cDXK4uM0XKw8ILe0gcvGe2KwuAbi0pIg6n/Af/aQfelphK1XmpyHgwbpY0/6cyUOIzsJ4sx4uuAgbJZH8mhMjfXjEuG5OE9u5OOh+LrwfqDHXT69v8H3wu/G1NvAISm1OI84BwK+a1Q0qrdX//Ynk7ny9c5AUtXbwAlUmuoVC8kZkP+WNjartDaG8vhlLCTUmAcVu18mYNCtvMrJi9ovfDEdGjI1oJkEpN8FqhXU1IpeTB4FNR+RQFH262J2Ix2+dKaQTGGjkeqvmAcnQl0Hq2ToTcQsMS8nnZLLTqx3UpTfY13WxtUKRAzSIuaNPry9VwChhbAntCapEPYQqXv1gasHUssRKRoLqiOCq1TJGMwXoiI7fzud/kt+BWI0O51RAQkZYHi1ZYrXXQK9YMhpUBrxPd1Xq2lCBg0S9fr1t4jvT9nsd4XCOELy0/M0QKUYpM6H8OL9k0ripagrA9ywQUrPi++ToZvvC4+HYx6TZnqdFjz0rEOSvGlDgSh04PwMuO8YSxd56GmZRwHOcggX43F7cRQUu/CmkHP+K3Gk21rFAXSC7U6o5ZTMyQVtkLbv38/3/ve97pcZ7FYaGhoOFmZvpv4zXG/C83rRotKjPJVqBC+SgV9hOLrEfqjHtPyIX8W7H6pm+2zfQmsKZA9VmsAjUa217ppI4dDQk+OcIOAZlcU8aYYrXhpbGvPU5ocV84OUYc9WXb+8/g/RiUeEr3amIqnqb26AWiNueDEyvEoinYvFEXrrcelah/uVi0kP4TYHKyNO7ESDdFDAUWrtBBEu+vL556KToDYbGg5qkXr6Qy+DogvgTh1OCRPwFrzkU9pKr4xRd+1Rydr1Rv8sgYrNY/b565VtAbZ79r1Kzy/pWZJ8ikZX4h8lh2iIiF7GMSmadGeQvFVwhgKe0JLTQ1hta/8bfDzidRSOtri0JLHg/L31B4sNOHVxsOMvXiP/J0dr8+VquggJl2bE81k6tpSSB0KlrTOCgK0++H1+Kw/nVaew/9tGowQmwz2Fu0+RCjaucxxncum+WUTCigm3/vTlSveLz/tSi0iGvRq+zCDwaR1ert05evZXe1kXws4XMkIw0QiqCAVG01cQfExZ2cLtCv6ouMM2thvZIwmc18dswfCbmliY2Opqqrqct3BgwdJSTnJgUSJ78X35UspaHUGo909u2XCJdj16DGCJRkKpsKeb0D8u/P2Kb5BbkscRCZrYciKjpHZ6VSXDaOp6lwQG8ALOlMcl50/THP3eDy9q2bSV+j0WgMkhPYRRcRCXLaWf4WuXaH5twkOcw+HwLieouXBpQ2F9NFwpINCy8yhpDGWUqIoUCxYFcVXXeG/wfZ7INiaG6Q17KZoiMsCYywkJLQnEesN4IrQKksMHgM1W9As6kmaVeBHeDVlFSKrT6npfNaLYmx3eQV65L7ABIG2nb8jBdrYj8kA8UN9nYHI9nOlD9ZkD1Jow3AF4j79QQnssDFnaAw0JIGjkRCFFhHXw80WEBPjsyh7iaKgjUUZNeWbMrjdMuroEE7P1HL99O0Kon180oxV1bWP1ykEvWNe3/OP0t4rW52mzFRT+3vWpVw+l2h3Dby/EorHpzjxal4O//aqqp2jm329qp4GYUCHkRoKOMyl1FGDjgldRzf2F/6On6o/MU/ICRD21zx9+nSee+45WlvbXQaKouB2u/nDH/7QrfUmCROdrt06MRq1Ri4QCt9H+D8cvVnr4afmwkX/iRby3YGUXN9YjhniMiAm05cCYCItO5URiePBMAi7KZs0SzLD0jIgyqK5XiyJfSv38dAZfNaaL7jGkggJgyAh29cY+Fxr4TSQPZ5PryV+DxnXeV1sJqXkAOkUtxnbrbqrru28bdJgX6CBT5nEJrfXk9QZtB660QiRUVqFj4xzgCIoPEd7P/y/mFRt32ACAQq+nr6qEvL5B6/3W2Wqzld0NhmScyG5QLuHCr776EtqNydpwStBlKIF6QNakX43bKRRcwVHRxA6h1mK5ubs6ReTrFmevcXf+PvvpzlK80aYoiGyQ5HphFTtPTFb0IpgB0dA+oOPfO5A8N0jJehv332LTNRkjIjVnlFPsvm/vZ628XscFDXonMdn1ths8hKiiTXFEasmsYfh7KGICSMHY80+hQoN2q/1FBG2hfbkk08yfvx4RowYwezZs1EUhZdffplvvvmGQ4cO8fe//70/5Pxuoup942mK9jGebNRRV/h7/h6TFuWWNRoGXQsH3wrdLmVke3SWOTrQY/22soVmh5GUiHRUdQTl3lbqXAaW7a7HmpeuuWFO4QsN+M7nG0tzuzSXqtNGoGYjhFpYJ4uiaPcuYQhaqvT69nWRiRRY8ihtUSia5Iti1ekhtYv8t4z89jErU4zvXvvcYDqdVr1Dp9MCUZKGQI5VqxqTPkyL7vMTcCt2gd9tJdTO75O/EfW42y0SnUFTKF6PZtXFJPp63KJ9fXwCpA+H8na3Y0iUoO9RtBLL37fVURhjxmpOxD/tH6RqEak9YY7p2S3ZJQqBsWiPzTf2pYfM3FDPcJTFN0anouWRNQa5gaPbc8UUBRS9L1hGB6ihOWSK0IKFdOaTc7MHxPd7UFztf/cCa3Y8T8weyzdlx/hkw26qmlIwqx521nXjpjwV9MWYXC8Iu6UZOnQo69atY/jw4bzyyisIIfjLX/5CUlISa9euJScnpz/k/G4SPF7kD//t65fC75oxmLWB/ugEGHExofGNOZA2ol0OU5QvzFplbE4SsZZIGkxJbPJGcpRkGlwKHp1ZU8JG88kFhZwofgvCHyQSmwyWBJ91EvTrK4VmMGsBAUPHBq0YDZZUrGMmMueiqVhH5BBQqGYznWYDzvDdY53Rl3PXIQhIp9feB1OEVh4sZYhW/SOtUHsm/p85umc3b8BS6+bz958H0BSCzyUdl6zlJ0G71aDTgz4KMoYB7d++FS0Zfw4+5aaAGwvbsVPaRIeamb7xq55+ptgOs3H3gkAgkcGXiB+pWbzpHRKGjdGae9pgwl/b0y+/1ZjWbuUp/rFIf2dA1RSk6ssXUxTt2RlMocUCThZV336+XmLNSeTWyYOJio3BqUTiUSxMGzO472TqNUFu0lPACXUjRowYwfLly3E4HNTW1hIfH09ERB+ElEs6o9O1J132F6rPzWQwawO4GUPhnCvgm52AC6Kv0sKHEdqHZTQHqo5Ys+OwpkXy07ePUk82LjxkJUZy5eh0ApXQT0HPrEv8vWS/NQH9J4tOD/EpMGg07B0LHIbI8yE2HYTLlyZhCOqUqJB1M1TMbz9GlK+2n04H3iCrIPgcXo9mEagGzf2nM/nGuoLojSV/vAYm5L3zPcfI2CArN8jCjbRARJJWfaWyvQBo+ziUhh4zDVhQLV5IMEFTNFq0Y6pm4faEOe4ELDQ0ORXaOy8eNyRnhm4SGelLB/Fqz7A+aF1EZPs1+4NDvJ52tyuiPafSbxkbgwI4+oJg92M4qHry02NRhYdhqdFcc96gvpOp1zKcWu/MSZ3NZDKRkZEhlVl/o/P10NQ+cGN0h6JqPUtVBxEJkH8+5F0NMRfBpIuCxu98roNAjxVQ9UwelYEgG0E2qbER7Q33Kfahd0IXVOGhL9xA3aEoWg5Z+jAYMgpiRsKQEZory2TRrIvgcVFVB9+7KvQYMQlBx9N1Pc6i6rR1RrOWpxib3jn6ta8sef+9A18whEFzufmfqf+56o3afFiZIwnMrkxoJQ6ARnTYsOBq9vqiAFOARC3yULh7/hmjfBZUmHR0Lav+HLEgF62/goVOB6lpofv7K7v4x11Vne87VHzVVHz76Qzaz2Ds/3ettygK+WlxmMxmhmWe4nHsAeKE7vrBgwf5+9//TllZGW1tocVGFUXh9ddf7xPhJEH09wfij3o0RGo90IQ0GDYdsmshd2hoYxJICPW5QXRwzTlDcNsaWVvaSG2boPhwq5Yr01WJolON3qhVEelvS1Fv1OaCGnwuxKVD9ghK6tyU7qmnIDMOa4b/GSoE6uYF1620BAU96A2aldaxMxBspRkitGemBkUs9jVBtTc1OngL/NaDIVqL9CQLf3X4jsnlLZhxuVvZrFfR7WikgDisGCAl4/jy+6PlwsVfzikYgxGtPJjPFDP5XOKKGprPB6GJ98EJ0Iqi3Qevt72eqN/FragDN1bVgSanID8tlma7Z+A8JaeQsN+QTz75hKuvvhqPx0NKSgqmDvW5Os6NJjmDUH1jAl4zmDyQMxJsrRARFdqYBFc40OnArZVWGp6ZRmWLF1tk7KkND+4NJ9K7DxdV1dIaYnK0nKuUVL4prcfuNrGzxoV1hN/a8X0jEWaIvRwaN0HEudqMvx2P1+V5fFaCMbJ9TK0/v7uAUvO7QDucS1G0PLGYNEgfAke+6eIgMbhEJAbFxlFhZ4fSCuiwRsRDZMRxKoV4tRSGE3XjBZfJCox3joLaw4AvalT1WZ6JHRRaZIf32D+uHQgS8aU8eD1oaRFGUE+gzmo/UZQbT/FBwbjcOKnQuuLhhx9mypQpvP/++zLn7GxE8YXmu51aA2uI0nqpgYYsuLai74P2JYNbs5Ox5qRoxWu/iyiKFpSRkKu5aM0RnJNnYoernuHpCaEKyh++f+l9sGUJjLyyPUT/eOh8ifc6nzVwvBJifYF/HKk7d6bepEVaZo+AIwlAXYfSX9nEKmaOeSPwum1Um/SMIhqiFC2/zeXo+fwG88nlDAbXDdXpIT0banO0KV+C3acRHQJPorvpmPkT0hXa74fwBinOAXSzBxEoi/UdIWyFtmfPHhYvXiyV2UlQUtFAcVk9Rbnxp9/LFqhN53M9Bs9T1VWV80CD6vElk579vcAe0ekhNkEbezGbscYYscb7wiJ0QRaafxwqYxDE3e6bkiUMVD2ovhqMfRmA0OM5e2ikVZ0WlZmYB2QCdQGXowrYSAZMoJgRuihaSaKJOkoceqyWmG6qdPgQQssfO5GqLh1l95dHSyqErK1aoEmwgrbEhe7XU2RlYEJYb3ten98V+R2whk5Hwu5G5Obm0tLS0h+yfGcoLqsPTLJ3WuIvhms0dxHU0TFIIWi8QNX1XbLymYqi+KaxsbRHNRrMPvdg8L3zdRwiorVUCVOYSfP+sHtdUG7dQBKwTjO0echoD33X1G4iEfHR5EbE4tFHYHMbOISe0mZFC8k3RfT8i47r/WS2x5NTUbTAkMRhkFzYQaHFhG5v7PB3l8cLtrzVdvflAFNS0cCb6w5QUtEw0KKcMsJWaL/85S95/vnnsdlsx99Y0iUxZj2lR5uIMZ8GkVDdoSha0IEp2ldnsqdE5A69U6+n/fddRG/SlJhf0euCpgrxE4gC1fnq3PW+EgTQnmfnr/wx0CiKllsWEQdZI9Gq42sUAKa0bH4ycwwj8pJQiMSBgXK3hT0YKWnxtLvruvv1ZWdJ1UFympb3l5Yf+lyMZkKaRXNs765d7WB9nwac9h3nfiDsFvWrr76iurqaoUOHcvHFF5OYGBoOqigKv/vd7/pMwLORJrubgrQYmuzugRale0JKJXUc++mwrX8MwvMdVWAd8VdnDx5b6UhwGDl0Vni9IZDOcXqM16DoNEsqZRiQCtQCvlqV48eyqN7Jmj2tKKg0uSOIU6Ko1rv5tsqB9Xh1Sr2evr1OvRFShncORtHp0EL6Ndl7pdD8+CuKBI8zDyBFufGBoY3vCic0fYyfBQsWdFovFdrxOWNetO56mx0tAr9b0qt2vf67SPB980fCdbyX/vvrV0wnwumizMAXJWuG5GxtyqP6He3rLCmsWl+DW2eiyWFApxhxiQhavHYqbFBypKXn8WR9HyboK6pmRUdEdX7H9SY0ZVwP6MNTaHBaPY/vWkAInIDL0ev19vjrOEea5LuC2l5OShJKt8nlXYTAn8koiq8AcKw2E3ogeTkdopOYNjINndFAoi4KnWqiUbHgUmNpVQ18Xd4Q5Ibt4hconNxH6A1d57apKhh9Cd+k9jyTtuS04zQexDl7CfZtnzU9KJ1vuhtJ93RnoZ2iwq2nBJ1BixRMK4StWWgKOxuMEVwzLp1hydEs3bSL7bvceDwOPAgO1Du4LjeBHpV7V/lvJ4qiaArNFN05AVpRIC4WqpN8Y8iyCtKZxAl3ef71r38xb9487rrrLg4dOgTApk2bqKmp6TPhzlaKcuOJizSc/i7HcPGX/5GE0p3lGmx9nC2WmupL+UjM1FyPZMOgIb5gCwVrVjwPXVnEz68ag5lowEBqggVrZlzPx/XnO/YViqpNGdNV4ey4VG3anAhL6KzSktOesBWazWZjxowZXHbZZTz33HO88cYbHDt2DIDnn3+eZ599NmwhWlpauP/++8nIyMBsNjN27Fjef//94+530UUXoShKt7+jR48ed9uZM2eGLa+kG06jCK8zj46RNmcofrdjZCJkDYfcPEjN0cbW/EpJb8Cak0p2WhwKZtD5ivz2+OsHOQPzwgWhqpS0GVnYrFKimPomVUByyjihSiGbN29m0aJFzJgxg5iY9jyNSy+9lJdeeilsIa6++mo2bdrEM888Q35+Pu+99x433HADXq+XG2+8sdv9XnnlFZqamkKW2Ww2Zs6cSVFREWlpoRUrBg8ezLvvvhuyLC4uLmx5T5az0uUoOUH81VdOn2CCk8bvdkweplXiSB/uK3ytgtc3M7YhAo/OgAdz74JilL52y3ZzLEVhW5UeAyZKmwxYjdJCO5MIW6EtXLiQp556itmzZ3cKAMnJyQm4H3vL0qVLWbFiRUCJAVx88cWUlZXx85//nOuuuw5dN4U+R4wY0WnZ22+/jcvl4s477+y0LiIigokTJ4YlX39wxkQ5SvoftZsIyDOZgNsxS8thjMsIytNSNeWk1xMTF0NsmyApLur419/X90dVfRnfnRXpqNF5lG4/TEF6XP/OcCHpc8LuFtbU1DBy5Mgu16mq2qn6/vFYsmQJ0dHRzJkzJ2T53LlzqaysZOPGjWEd7/XXXyc6OprrrrsurP0kkgHjbFJm0O52jEjQ6oGaYwm4DYNSFWaOHcqUkdnMKhqgSYH1xi5nsbAW5DPnvHOwDu26nZOcvoSt0DIzM9m6dWuX60pKSsjLywvreNu2bWP48OHo9aEvltVqDazvLXv27GHt2rVcf/31REd3LiW0b98+EhIS0Ov1DBkyhIcffvi4CtjhcNDU1BTyO1m+ixn8ku8YOgNY4rXpWCJiOpeHQsE6KJWbzx+JNfc4c3WJUzy+GJUIsWnaVEBnW2fjLCdshXb11Vczf/58vvmmfYoIRVEoKyvjt7/9bSdL63jU1taSkJDQabl/WW1tba+P5Z+H7Y477ui0burUqfzmN79h0aJF/OMf/+Dyyy/nueeeY+bMmXi9XVRy8PH0008TGxsb+GVnZ/danu44a6McJRI/qqrNOGCJo6TawVvrg2oKBs/SAKGl0rr69eds7V1hioLIFN90PlKhnUkoQoTX/WlubuaCCy5g27ZtjBo1ipKSEkaPHs2+ffsoKChg7dq1Yc1gnZ+fz5AhQ1i2bFnI8iNHjpCRkcHTTz/NQw89dNzjuN1usrOzSUxM7LVV98ILL/Czn/2MxYsXM3v27C63cTgcOBztU1s0NTWRnZ1NY2NjSEBMbzmtK+1LJH2J0w4uO299dYgGl4HYSBNzpw7W1gkBHjeBgJheWULdJaj3Mc11UFeh5aqlF5xW1T++izQ1NREbG9urNjfsJ2WxWFi/fj1PPfUU0dHRDBkyhMjISObNm8cXX3wRljIDSExM7NIKq6urA+jSeuuKpUuXcvTo0S6DQbrj5ptvBmDDhg3dbmMymYiJiQn5nQzS3Sj5zqAzgMHMuMEZmkciJ6iMVEiKh9Keq9fj7xQpFpNJy0GLiJXK7AzjhEJ4IiIieOihh3plOR2P0aNHs2DBAtxud8g4mn+cbtSoUb06zuuvv47RaOSWW24JWwb1FL60MsJR8p1BVSk53EpxeRNFuQlYM2O14r3+781vmZ12KQs6iIqX42dnIAP+Js2ePZuWlhYWLVoUsvztt98mIyODCRMmHPcYR48eZenSpVx11VWdqv/3xNtvvw1wSkP5rVlxzJ2SJ92NkrMfRaG4vImGNjfFZQ2+heLUB3mEi6rXLMIuIiAlpzcD/sQuu+wyZsyYwT333ENTUxNDhw5lwYIFLF++nHfeeSeQg3bHHXfw9ttvs2/fPnJzc0OO8fbbb+N2u7t1N65du5b58+cze/ZsBg8ejN1uZ9myZbz66qtMmzaNWbNm9ft1SiTfRWLMejbur2XGiFQCSeRnQt6dVGZnJKfFU1u8eDEPP/wwjz76KHV1dRQWFrJgwQKuv/76wDYejwePx0NXMSxvvPEGgwYN4pJLLuny+Onp6eh0Op566imOHTuGoigMGzaMJ598kp/+9Ken1OUog0Ik3yVC5v5TVd+kr2eAlQanv9KVdCLsKMfvOuFE3HTFm+sO0GBzERdpYO6U8HL2JJIzjU4dOCGCwvCDyn6dbsrD5ZBux9OEcNpc+bROMTIoRPJdotMkk4oCwqfITueCzAZZw/FMRCq0U8x3cRZZiSQE/xxwEkkf0yuF9uSTT/b6gIqi8Mgjj5ywQBKJ5CwnxEqTSPqOXo2hdQyaUBSlU3CGEuQD71iF/2ziZMfQJBKJD6+vnTgdx9Akpw19XinE6/UGfqWlpeTl5TF//nwOHDhAW1sbBw4c4KmnniIvL49du3b1yUVIJJKzHF+RYqnMJH1F2FGOl19+ORMnTuTRRx/ttO6JJ55gw4YNneoynk1IC00ikUhOHf1ay3Ht2rVMmTKly3VTpkzh3//+d7iHlEgkEonkpAlboZlMJjZv3tzlus2bN2M0Gk9aKIlEIpFIwiXssP3Zs2fzxBNPEB0dzY033kh8fDz19fW8++67PPnkk9x00039IadEIpFIJD1yQvOh/cd//Aeff/45iqKg1+txu90IIbjgggv4+OOPsVgs/SXvgCPH0CQSieTU0a+VQiwWC6tWrWL58uWsXr2auro6EhMTufjii7n00ktDwvclEolEIjlVyFqOYSItNIlEIjl19GuUo59//etfzJs3j7vuuotDhw4BsGnTJmpqak70kBKJRCKRnDBhuxxtNhv/8R//wWeffRZwL95zzz3k5OTw/PPPk52dzfPPP9/ngkokEolE0hNhW2gPP/wwmzdvZtGiRTQ2NoaUwLr00ktZuXJlnwookUgkEklvCNtCW7hwIU899RSzZ8/uVLMxJycn4H6USCTfLeTktZKBJmwLraamhpEjR3Z9MFWlra3tpIWSSCRnHsVl9TTYXBSX1Q+0KJLvKGErtMzMTLZu3drlupKSEvLy5CzMEsl3kaLceOIiDXLyWsmAEbZCu/rqq5k/fz7ffPNNYJmiKJSVlfHb3/6WOXPm9KmAEonkzMCaFcfcKXnS3SgZME6oUsgFF1zAtm3bGDVqFCUlJYwePZp9+/ZRUFDA2rVriYiI6C95BxyZhyaRSCSnjn7NQ7NYLKxfv56nnnqK6OhohgwZQmRkJPPmzeOLL744q5WZRCKRSE5fZKWQMJEWmkQikZw6+tVCe/LJJ1m0aFGX6w4fPsyTTz4Z7iElEolEIjlpwrbQVFVFURQefvjhTspr48aNTJ48uVN+2tmEtNAkEonk1NHvtRxvuukm5s+fz9y5c89q5SWRSCSSM4cTUmj33Xcf77//Pu+//z5XXHEFLS0tfS2XRCKRSCRhccLV9ufMmcPy5cv56quvuOCCCzh69GhfyiWRSCQSSVicsEIDuPDCC1m7di01NTVMmjSJHTt29JVcEolEIpGExUkpNICRI0fy5ZdfEh0dzd13390XMkkkEolEEjZhK7Rbb72V5OTkkGVZWVmsW7eOSy+9lJycnLCFaGlp4f777ycjIwOz2czYsWN5//33j7vfW2+9haIoXf66coGuXLmSSZMmERkZSVJSErfddhvV1dVhyyuRSCSS04+wp4958803u1weExPDJ598ckJCXH311WzatIlnnnmG/Px83nvvPW644Qa8Xi833nhjr2QqLCwMWZaYmBjy95o1a7jsssu44oor+Oijj6iurubBBx9k+vTpbN68GZPJdEKySyQSieT0IGyF1tcsXbqUFStWBJQYwMUXX0xZWRk///nPue6669DpdD0eY9SoUZx77rk9bvPzn/+c/Px8PvjgA/R67bLz8vKYMmUKb7zxBvfcc0/fXJBEIpFIBoReKbRp06bxyiuvUFhYyLRp03rcVlEUPvvss14LsGTJEqKjoztV6Z87dy433nhjIFn7ZDh8+DCbNm3i6aefDigzgMmTJ5Ofn8+SJUukQpNIJJIznF6NoQUXE/F6vQghuv15vd6wBNi2bRvDhw8PUTQAVqs1sP54XHnlleh0OhISErj66qs77eP/23/Mjufp6RwOh4OmpqaQn0QikUhOP3ploa1evTrw/88//7xPBaitrWXw4MGdlickJATWd0daWhoPP/wwEydOJCYmhq1bt/LMM88wceJE1q1bx5gxY0KO4T9mx/P0dI6nn36aJ554IqxrkkgkEsmpZ8DH0EBzU57IupkzZzJz5szA3xdccAFXXHEFo0eP5tFHH+Wjjz7q1bF6Ose8efN44IEHAn83NTWRnZ3d7fYSiUQiGRgGXKElJiZ2aSHV1dUBXVtVPTFo0CCmTp3Khg0bQs4BXVt7dXV1PZ7DZDLJCEiJRCI5A+jVGJqqquh0ul79Oo6FHY/Ro0ezc+dO3G53yPKtW7cCWgRjuAghUNX2S/Mfw3/Mjuc5kXNIJBKJ5PSiV9rn0Ucf7dEtdzLMnj2bP//5zyxatIjrrrsusPztt98mIyODCRMmhHW8AwcOsG7dOi655JLAsszMTM477zzeeecdfvaznwXSADZs2EBpaSn3339/n1yLRCKRSAaO02LG6ksvvZTNmzfz7LPPMnToUBYsWMCf//xn3nnnHW666SYA7rjjDt5++2327dtHbm4uAJdccgkXXHABVqs1EBTy3HPP0dzczPr160Msr88//5wZM2Ywa9Ys7r33Xqqrq3nooYeIjY0NK7FazocmkUgkp46w2lxxGtDc3Cx+/OMfi7S0NGE0GoXVahULFiwI2ebWW28VgDhw4EBg2f333y9GjBghLBaL0Ov1IiMjQ9x8882itLS0y/N8+umnYuLEicJsNouEhATxgx/8QFRVVYUla2NjowBEY2Nj2NcpkUhOLVvK68Ub/94vtpTXD7QoJ8zZcA0nQzht7glbaNu2bWPnzp20tbV1WveDH/zgRA55RiAtNInkzOHNdQdosLmIizQwd0reQItzQpwN13AyhNPmhh3laLPZ+P73v8+qVatQFCWQdB08xnY2KzSJRHLmUJQbT3FZPUW58QMtyglzNlzDqSJshfbUU09x8OBB1qxZw4UXXsjixYuxWCz88Y9/ZOvWrfztb3/rDzklEokkbKxZcViz4gZajJPibLiGU0XY08d89NFHPPjgg4H6ijk5OUyfPp2FCxcybtw4/vCHP/S5kBKJRCKRHI+wFdrBgwcpLCxEp9OhKAo2my2w7qabbuLDDz/sS/kkEolEIukVYSu0uLg4WltbAUhJSWHPnj2BdS6XK7BOIpFIJJJTSdgKbfTo0ezevRvQ5i373//9X/7973/z1Vdf8eSTTwYKAkskEolEcioJOyjkjjvuCFhl8+fPZ+rUqVx44YWAZr0tXbq0byWUSCQSiaQXnHSlkNbW1kAI/+TJk8MuJnymIfPQJBKJ5NTRr3loHYmKimLWrFknexiJRCKRSE6KE1ZoLS0tHDp0CLvd3mnduHHjTkooiUQikUjCJWyFVlNTw1133cXHH3/caZ0QAkVR8Hg8fSKcRCKRSCS9JWyF9sMf/pBVq1bx//7f/2P48OEYjcb+kEsikUgkkrAIW6GtWrWKF154gbvuuqs/5JFIJBKJ5IQIOw8tKioqMB+ZRCKRSCSnC2ErtFtuuYWFCxf2hywSiUQikZwwYeehud1u7rjjDpqamrjiiiu6zDu7+uqr+0zA0w2ZhyaRSCSnjn7NQztw4AAbN25k9+7dfPTRR53WyyhHiUQikQwEYSu0u+++m8bGRl588UUZ5SiRSCSS04awFdrGjRt5/fXXueGGG/pDHolEIpFIToiwg0JSU1OJi4vrB1EkEonk9KCkooE31x2gpKJhoEWRhEHYCu2ee+7hT3/6U3/IIpFIJKcFxWX1NNhcFJfVD7QokjAI2+WoqiolJSWMGzeOyy+/vFOUo6Io/OQnP+kzASUSieRUU5QbT3FZPUW58QMtiiQMwg7bV9WejbqzPcpRhu1LJBLJqaPfw/YlEolEIjndCEuhtbW1MW/ePO69916mTp3aXzJJJBKJRBI2YQWFRERE8NFHH+H1evtLHolEIpFIToiwoxzHjh3Ltm3b+kMWiUQikUhOmLAV2jPPPMNzzz3HmjVr+kMeiUQikUhOiLCDQu69915aWlqYNm0a8fHxpKenoyhKYL2iKGzZsqVPhZRIJBKJ5HiErdASExNJSkrqD1kkEolEIjlhwlZon3/+eZ8L0dLSwv/8z//w97//nbq6OgoLC3nooYe4/vrre9xv8eLFLFy4kE2bNnH48GFSU1OZMmUKjz/+OMOGDQvZ9qKLLurSTfq9732P5cuX9+n1SCQSieTUE7ZC6w+uvvpqNm3axDPPPEN+fj7vvfceN9xwA16vlxtvvLHb/Z599lnS0tJ4+OGHGTx4MOXl5fzv//4v48aNY8OGDYwcOTJk+8GDB/Puu++GLJN1KSUSieTsIOxKIQB1dXX89re/5bPPPqO2tpakpCQuueQS7r//fuLjwysVs3TpUq644oqAEvNz6aWXsn37dg4dOoROp+ty3+rqalJSUkKWVVZWMmjQIH7wgx/w2muvBZZfdNFFHDt27KQjNGWlEIlEIjl1hNPmhh3lePjwYcaNG8f8+fNpbGwkJyeHhoYGnnrqKcaNG0dlZWVYx1uyZAnR0dHMmTMnZPncuXOprKxk48aN3e7bUZkBZGRkkJWVRXl5eVhySCQSieTMJmyF9stf/pK2tjY2btzI9u3bWbFiBdu3b2fjxo20tbXxy1/+Mqzjbdu2jeHDh6PXh3o/rVZrYH047N+/n7Kysk7uRoB9+/aRkJCAXq9nyJAhPPzww7S1tfV4PIfDQVNTU8hPIpFIJKcfYSu05cuX86tf/Yrx48eHLB8/fjxPPvkky5YtC+t4tbW1nSr2A4FltbW1vT6W2+3mjjvuIDo6ulPF/6lTp/Kb3/yGRYsW8Y9//IPLL7+c5557jpkzZ/ZY+eTpp58mNjY28MvOzu61PBKJRCI5dYQdFNLY2MigQYO6XJeXl0djY2PYQgTnsYWzLhghBHfccQdr165l0aJFnRTPr371q5C/L7/8cgYNGsTPfvYzPvroI2bPnt3lcefNm8cDDzwQ+LupqUkqNYlEIjkNCdtCy8vL45NPPuly3bJly8jLywvreImJiV1aYXV1dQBdWm8dEUJw55138s477/DWW2/xH//xH70698033wzAhg0but3GZDIRExMT8pNIJBLJ6UfYFtrcuXN56KGH8Hq93HrrraSnp3PkyBHeeecdXnrpJZ555pmwjjd69GgWLFiA2+0OGUfbunUrAKNGjepxf78ye/PNN3n99dcDSiocjjfHm0QikUjOAESYeL1ecffddwtFUYSqqoGfoijihz/8YbiHE0uXLhWAeP/990OWz5w5U2RkZAi3292jLHfccYdQFEW8+uqrYZ/72WefFYD48MMPe71PY2OjAERjY2PY55NIJBJJeITT5oZtoSmKwp/+9CceeOABVq9eTW1tLYmJiUybNo38/PywFepll13GjBkzuOeee2hqamLo0KEsWLCA5cuX88477wRy0O644w7efvtt9u3bR25uLgA//vGPef3117n99tsZPXp0iOvQZDJxzjnnALB27Vrmz5/P7NmzGTx4MHa7nWXLlvHqq68ybdo0Zs2aFbbcEolEIjnNOAUK9rg0NzeLH//4xyItLU0YjUZhtVrFggULQra59dZbBSAOHDgQWJabmyuALn+5ubmB7fbs2SMuv/xykZmZKUwmkzCbzWL06NFi/vz5wm63hyWrtNAkEonk1BFOm3tClUJAq9JRVlbWZR7XBRdccKL69bRHVgqRSCSSU0c4bW7YLscjR45wyy23sHr1akALygDNFSmEQFEUPB7PCYgtkUgkEsmJE7ZCu++++/jmm2949tlnsVqtmEym/pBLIpFIJJKwCFuhrVmzhueff565c+f2hzwSiUQikZwQYSdgKYoiK2VIJBKJ5LQjbIU2Z84c/vnPf/aHLBKJRCKRnDBhuxyvvfZa7rrrLrxeL7NmzSIxMbHTNuPGjesT4SQSiUQi6S1hh+0Hl4nqWDj4uxDlKMP2JRKJ5NTRr2H7b7755gkLJpFIJBJJfxG2Qrv11lv7Qw6JRCKRSE6KkyozX1payrp162htbe0reSQSiUQiOSFOSKH95S9/ISsrixEjRnDBBRdQWloKaAEjf/7zn/tUQIlEIpFIekPYCm3hwoXcdtttjBs3jpdffpngmJJx48bx97//vU8FlEgkEomkN4St0J5++mnmzp3LP/7xD+6+++6QdcOHD2fHjh19JpxEIpFIJL0lbIW2c+dOrr/++i7XJSQkUFtbe9JCSSQSiUQSLmErtMjISBobG7tcd/jwYeLj409aKIlEIpH0jpKKBt5cd4CSioaBFmXACVuhTZkypdPYmZ+33nqLiy66qC/kkkgkEkkvKC6rp8HmorisfqBFGXDCzkN79NFHmTp1Kueddx433ngjiqKwePFiHnvsMb744gu++uqr/pBTIpFIJF1QlBtPcVk9RbnSO3ZCM1avXr2ae++9NxCuDzBs2DD+9Kc/nfUWmix9JZGc/ZRUNASUhDUrbqDF+U7Tr6WvAC6++GJ27tzJvn37qKqqIikpifz8fKC9nqNEIpGcqQS78aRCO3M4qUohQ4YMYfLkyQFl9t577zF8+PA+EUwikUgGiqLceOIiDdKNd4bRawutsbGRDz/8kKqqKvLz8/n+978fqLy/ePFiHn30UXbs2EFubm6/CSuRSCSnAmtWnLTMzkB6pdD27t3L+eefT3V1dcCleOGFF/Lhhx9yww03sHz5cuLi4njuuef40Y9+1N8ySyQSiUTSiV4ptEceeYSmpiYef/xxzj33XPbv38/8+fOZPHkyO3bs4M477+S5554jLi6un8WVSCQSiaRreqXQ1qxZw//8z/8wb968wLKhQ4dy2WWX8V//9V+88sor/SagRCI5vZARgJLTlV4FhdTU1DBlypSQZVOnTgXguuuu63upJBLJaYtM5JWcrvRKoXk8Hsxmc8gy/98Wi6XvpZJIJKctMgJQcrrS6yjH0tJS9Pr2zT0eDwC7du3qtO24ceP6QDSJRHI6IiMAJacrvaoUoqpql8nSHZOo/X/7ld3ZiKwUIpFIJKeOPq8U8uabb/aJYBKJRCKR9BviNKC5uVn8v//3/0R6erowmUxizJgxYsGCBb3at6qqStx6660iMTFRREREiIkTJ4qVK1d2ue2KFSvExIkTRUREhEhMTBS33nqrqKqqCkvWxsZGAYjGxsaw9pNIJBJJ+ITT5p5U6au+4uqrr+btt9/mscceY9myZYwfP54bbriB9957r8f9HA4H06dP57PPPuN3v/sdH330EampqcycOZM1a9aEbLtmzRouu+wyUlNT+eijj/jd737HypUrmT59Og6Hoz8vTyKRnEHI+cXOYE6Bgu2RTz75RADivffeC1k+Y8YMkZGRIdxud7f7/v73vxeAWL9+fWCZy+USI0aMEOedd17ItuPHjxcjRowQLpcrsGzdunUCEK+88kqv5ZUWmkRydvPGv/eLBz/YIn74l01iS3n9QIvzneeMstCWLFlCdHQ0c+bMCVk+d+5cKisr2bhxY4/7FhQUMGnSpMAyvV7PzTffzFdffcXhw4cBbSbtTZs2ccstt4REavoLKy9ZsqSPr0oikZypFOXG02BzEhdplLl2ZxgDrtC2bdvG8OHDQxQNgNVqDazvaV//dl3tu3379pBjdLdtT+dwOBw0NTWF/CQSydmLNSuOey8eSkGaRebanWEMuEKrra0lISGh03L/stra2pPe1/9vd9v2dI6nn36a2NjYwC87O7uHq5FIJGcD1qw45k7Jk/l2ZxgDrtCAHicEPd5koeHs2922PR1j3rx5NDY2Bn7l5eU9yiORSCSSgeGEZqzuSxITE7u0kOrq6oCurapw901MTAS6tvbq6up6PIfJZMJkMvVwBRKJRCI5HRhwC2306NHs3LkTt9sdsnzr1q0AjBo1qsd9/dv1tK//3+627ekcEolEIjkzGHCFNnv2bFpaWli0aFHI8rfffpuMjAwmTJjQ4767du0KiYR0u9288847TJgwgYyMDAAyMzM577zzeOedd0LKcm3YsIHS0lKuvvrqPr4qiUQikZxyTkEawXGZMWOGiI+PF6+++qpYtWqVuOuuuwQg3nnnncA2t99+u9DpdOLgwYOBZXa7XYwcOVJkZ2eLd999V6xYsULMnj1b6PV68fnnn4ecY/Xq1UKv14vZs2eLFStWiHfffVdkZ2eLUaNGCbvd3mtZZR6aRCKRnDrCaXMHfAwNYPHixTz88MM8+uij1NXVUVhYyIIFC7j++usD23g8HjweDyKolrLJZOKzzz7jF7/4BT/60Y+w2WyMHTuWZcuWceGFF4ac46KLLmLp0qU8+uijzJo1i8jISK688kp+/etfhzVG5j+/DN+XSCSS/sff1orj19HvXbV9STsVFRUydF8ikUhOMeXl5WRlZfW4jVRoYeL1eqmsrMRisXQb7t/U1ER2djbl5eVn3BQzZ6rsZ6rcIGUfCM5UueG7J7sQgubmZjIyMlDVnsM+TguX45mEqqrH7SX4iYmJOeNeOD9nquxnqtwgZR8IzlS54bsle2xsbK+2G/AoR4lEIpFI+gKp0CQSiURyViAVWj9gMpl47LHHzsgKI2eq7Geq3CBlHwjOVLlByt4TMihEIpFIJGcF0kKTSCQSyVmBVGgSiUQiOSuQCk0ikUgkZwVSoUkkEonkrEAqNIlEIpGcFUiFJpFIOtHY2AgQMt3SmUBZWRnQu0K2pxs7duygsrISOPPk/9vf/sZLL70EaOUBBwoZtt8Ltm/fzhdffEFWVhbjx48nLS0N0F667uo5ni6UlZXhdrsZMmTIQIsSFvv27WP37t0kJydTWFhIdHT0QIvUa3bt2sUXX3xBXFwcBQUFjB49+rg16E4XDh06xPXXX09MTAzLly8faHF6zddff811111HdHQ0X331FQaDYaBF6jXffPMNDzzwAK2trVx33XX85Cc/OWPel+LiYn70ox+xYcMGcnNz2bt3LzqdbuAE6o/5a84W7Ha7uPvuu0VERIQYPny4UBRFDBs2TLzwwgsDLdpxsdls4r777hOKooh58+aJpqamgRapVzQ3N4tbb71VZGVliUGDBglFUcSkSZPERx99JIQQwuv1DrCE3dPc3CxuueUWkZSUJAoKCoSiKCIjI0O88sorQojTW3Y/P//5z4WiKCItLU387W9/E0II4Xa7B1iq7mlqahLXX3+9UBRF3HTTTWLLli0DLVKv8Xg84umnnxYWi0XccMMNYtGiRaKkpGSgxeoVjY2Ngft+++23i0mTJonCwsKQ+SoHAqnQeuDFF18UQ4cOFZ9++qmoqKgQJSUl4rLLLhOKooh33333tP3Qt2/fLq655hqRnZ0tcnJyxODBg8UXX3wx0GIdl7Vr14rzzjtPTJ48Wfzzn/8UX375pfjoo49EXFycmDp1qjh69OhAi9gtS5cuFQUFBWLSpEli6dKlYteuXWLz5s1i6NCh4txzzxX19fUDLWKP+JXtT3/6U5GbmyvGjh0rJkyYINra2oQQWuN7uvHqq68GOjwrV64Ura2tAy1SWOzcuVMUFRWJF198UTQ0NJwRHR4hhHjqqaeEwWAQEydOFMuXLxcej0c89thjwmg0isrKSiHEwHXepELrAq/XK5qbm4XVahVz5swRDocjsK60tFR8//vfF5mZmWLdunUDKGX3+D/0+fPni7Vr14q4uDhx2223ierq6oEWrVtqamrEtddeK6644opOvez/+Z//EVFRUWL9+vUDJF3P1NXViXnz5okbbrhB7N69O2TdnXfeKYYPH37GNLZXXXWV+M1vfiOefPJJERkZKZ555hkhxOmn0A4fPiwuv/xyoaqq+Oabb0Ia0NN9Nnm/rI8++qhITU0NKAEhhPj222/Fli1bRF1d3UCJ1yOLFy8Wo0ePFn/6059C7vPzzz8vFEUR77///gBKJxVat3i9XpGRkSEee+wxIYQIUWpff/21SExMFLfccos4duzYAEnYPTt27BCrVq0K/P3II48Is9ksFi1adFr3Am+44YYQuf0W8IoVK4SiKOLrr78eKNGOy+effx5QZsH3+Oabbxa/+tWvRGtra0ApnG7KQYj2e3355ZeLRx55RDQ0NIjx48eLoUOHin379gkhTj+X6bJly0R8fLz42c9+JoQQYteuXeLaa68VF1xwgTj//PPFH/7wB1FeXi6EOD3v+axZs8SsWbOEEEJs3bpVXHDBBSIlJUUkJCSIoUOHivfee2+AJeya2trawP/978T69euFoijijTfeCFl+qvnOK7TuXvSjR4+KyZMni6lTp3ba1uv1iieeeEJEREQMqCuvNx+px+MRhw8fFvn5+WL69Oli//79p0Cy48sUjL8xDe40BPPSSy8Ji8VyWsreHTabTfzgBz8QiqKI4cOHi7y8PPHjH/+4n6XrmePJ7nA4xLnnnhsY83v55ZdFfHy8uOeee4QQ2hihy+Xqdzk70lFuf2NZV1cnfvzjHwuz2SxuuOEGYTKZxLRp08R1110nxo0bJxRFEZdeeukplzeYnu65f6z40KFDYsqUKeLKK68US5YsES+88IKYNGmSiIiIEB9++OGAKeNwzrtz506RkJAgfvSjHwkhpEIbEF5//XUxfPjwwOB3xwc4d+5ckZ6eLpYvX95p/Y4dO0R6erq47777uty3vzme7B156623hKIo4uWXXw4ojoF46cKR27/uzjvvFGPGjBHNzc2nRMbu6K3se/fuFfn5+cJqtYpXX31VLFy4UNx+++1CURTx05/+tMd9+4vjye7vVEydOlXMnz9fCKEp5auuukqkpqaKW2+9VZx33nni888/P63k3rBhg7BarSI/P18sXrxYNDU1Bba57777hKqq4uWXX+5y34GW/ac//amIjo4Wl112mTj33HPFoUOHAuu2b98uRo8eLS655JIBcaGG275UVVWJ5ORkcckll4iWlpZTIWKXfCcVWnl5ubjrrruEXq8XiqKIK664IjDG4fV6Ax/3119/LRRFEXfddVcgStC/rr6+XsyePVsUFBQIu91+2sjeHU1NTWL69OmisLBwQFx3JyK3y+USXq9X5Ofni9tvv/1UihvCici+atWqkMb12LFj4rrrrhMRERGntIEKR3aXyyUyMzPFwoULA8t++ctfCqPRKPR6vXjhhRdES0vLKekI9VbulpYW8fbbb4sFCxZ0+g537twp8vLyxLRp07q1/gdCdv87sWXLFqEoijAajeKHP/xhyDGcTqd47rnnhKIoYu/evaeN7F3hv56ZM2eK8ePH97htf/OdU2h2u13cf//9Ij09XTzyyCPi1ltvFXFxceKll14SQrQ/CP9Duvnmm4XFYhFvvvlmyHL/unHjxgUiwU4X2bvjs88+EwaDQfzyl78U9fX1ory8XHz66adCiP7tvZ6M3Lt27RJGozGkkbXZbGLr1q3H3XcgZO9Jnvvvv1+kpqaesgYqHNm9Xq9oamoSY8eOFUuXLhXbt28XF110kdDr9WL48OEiJiZGvPXWW0KI/rd0wr3nHS2C4PUTJkwQM2bM6Fd5g+mt7P5/7777bqEoipg5c6YQQoS4dP/4xz+e0mGNk/lOHQ6HuPvuu4XRaAyxNE813zmFJoQQjz/+uHj88ceFEJofPj8/X4wbN04cOHBACKF9sH5L7NixYyI7O1uMHDlSbNiwIXCM2tpaMXnyZHHLLbec0t5Ib2TvSLB8d955p0hNTRWPP/64GD9+vFAURVRUVJyWcguhRWwmJCSI0tJSIYQQGzduFJdeeqlITEw8ZWH8J3vPPR6POHDggCgqKhLXXHPNKXV9hSP7kSNHRHR0tDjnnHOEXq8X06ZNE8XFxeKrr74ShYWFIicn55TlM57IPe84vrdu3ToRFRUlHnzwwX6XN5jeyO6Xv76+XuTm5gpFUcQHH3wQOEZLS4uYO3eumDBhwin1AJ3odyqEEE888YRQVVV89tlnp0LULjnrFZrT6ezy/8G88MILIiYmRvziF78IWe5XagsXLhSFhYUiOztb/N///Z/45JNPxH//93+LlJQU8a9//eu0lL0rWltbxXvvvScURRGKoojvf//7/ZII2Rdy++/9nDlzxDnnnCO2bdsm/vu//1vo9Xrxve99T5SVlfW53B3l7at7vnPnTnHbbbeJYcOGiZUrVwoh+seyPFnZPR6PuP7668Xo0aPFu+++G5I798tf/lLcfvvtorm5uc9l7+t7brPZxPbt28W1114rrFar2LlzZ5/J2pG+aF8++ugjMWTIEJGQkCAeeOAB8dZbb4m77rpLxMfHiz/+8Y9CiNPzffHjl23t2rVCVVXxj3/8QwgxMJGlZ61CW79+fSAs9pZbbhFbt24NPDT/i+Tv0TmdTjFlyhQxePDgQG6Z2+0OeYk2bdokpk+fLlJTU0Vubq4YNWqUWL169Wkre0cOHjwo7r33XhEfHy9Gjx7dLzl0fS13W1ubsFqtIiMjQyQkJIi8vDyxYsWKPpe7P2Q/cOCA+M1vfiN+8pOfiNTUVFFYWNhveYsnK3uwZVNRUSEOHToUEtHr3+90k7vjPd+/f7/47W9/K372s5+JlJQUMXLkSLFx48Y+l7uvZA9uX4qLi8WsWbNEWlqayMvLE2PHjg1JYTndZO+Kf/7zn0JRFPH000/3i9y94axTaF6vV/zqV78SUVFR4qabbhI333yzyMzMFCkpKYHorWD8D2fx4sUiPj5e3HjjjZ2O58fpdIq6ujrxzTffnBGyB7Nnzx6h0+nEiy++eMbIvX37dqEoikhOTha///3v+1zu/pR93bp14pJLLhEXXnihePXVV88o2fub/pJ79erVYvTo0WL8+PEBy+Z0lz24fXG5XKK5uVls27btjJC94zW0tbWFjHUPBGedQjty5IgYNWqUeOSRRwK9jvr6ejFz5kyh1+vFJ598IoTo2oSfM2eOSE5ODjyUuro6UVVVFVjf36Wu+lP2/pS/r+UOHht75513+sU6OBWy79u3r1/dLv39vpwpcgff85KSkn79TmX70rXsp0vi+lmn0D755BOhKEqguoH/Jdm0aZM477zzxKBBgzqFTfvN6y1btojMzEwxbdo0sXLlSnHDDTeIm266KaQ0jZT91Mjtr/BwJsp+KoJs+kv2M/V9kff87Ja9t5zRCq2rRNt33nlHmM3mQDh6cK/nnXfeESaTKRDF01WP6Ic//GEgaCIlJUX885//lLKfBXJL2eX7ImU/M2Q/Gc5IhdbS0iIeeOABMW3aNHHxxReLefPmBQrarlu3TiiKIp5//vnAQ/Gbw0eOHBHXXHONiImJ6ZQsWFVVJd59910xdOhQER0dLX73u99J2c8CuaXs8n2Rsp8ZsvcFZ5xC++tf/ypSUlLE1KlTxQMPPCCuuOIKodPpxLnnnhvIkRk/fryYOHFil7X/XnvtNWGxWMTrr78esvwPf/iDiIyMFNddd12/lVg6U2U/U+WWssv3Rcp+ZsjeV5wxCs3r9YolS5aIc845Rzz22GOipqYmMLD5xBNPiMjIyEBR1QULFghVVf9/e3fvklwYh3H8uvWURlBrQyAO0ipNQdTgYoOC+me0uri6Otrm5D8Qzb3sGYSbq6BwaAgbautAvwbxPPW84UPS/VyH67MI4vAdDvzO8Zz7PtbtduNFiYvfTiYT29zctG63a2Y/zlBGo1G8eFft3N1q1/Gido72VaMaaKenp1av139ZVDudTj9tQvr09GTVatVyuVy8kHVhNptZNpv91rdOs7azdqvdTztrt9r9ta8azUAzm//P+7tL3vF4bNlsNt5zzGy+B+D29rYdHBzY7e2tmc3PRM7Oziyfz3/rhp9mvO2s3WZq1/Hyb9Tup32VqAbaws8vSry5uTHnXPxqi8UNz4uLCysUChYEgVUqFWs0GraxsWGtViveyV3tye5Wu44XtXO0r0IAQqlU6tPnYDDA7u4u9vb2AADpdBoAUKvVsL+/j16vhzAM8fLyguvraxweHvoJB287a/fHZrWrexlq5+XMzHxHfFWlUkEURbi8vIy/i6IIa2trHquWw9rO2g2o3QfWbkDtTFK+A77q4eEBg8EAR0dHAIDX11fc3d2hVqvh8fHRc93fsbazdgNq94G1G1A7G9qBtriwHA6HeH5+xvHxMcIwRLPZRKlUQhiGcM7hf7wAZW1n7QbU7gNrN6B2VpT30ADAOQcAuL+/x87ODq6urtDv97G+vo7z83OcnJx4Lvwz1nbWbkDtPrB2A2qn9d1PoaxSFEVWLpfNOWdbW1vW6XR8Jy2NtZ2120ztPrB2m6mdEe0VGgAEQYBisYhisYh2u41MJuM7aWms7azdgNp9YO0G1M6I/inHt7e3+BFVNqztrN2A2n1g7QbUzoZ+oImIiADETzmKiIh8pIEmIiKJoIEmIiKJoIEmIiKJoIEmIiKJoIEmIiKJoIEmIiKJoIEmIiKJoIEmIiKJoIEmIiKJ8A5oMIA5jjiL0wAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -484,13 +485,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/Documents/GitHub/rdtools/rdtools/plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -512,13 +513,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/Documents/GitHub/rdtools/rdtools/plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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ERNIwZIiISBrFQ+bRo0f47LPP0K1bN1SqVAkqlQrBwcFKl0VERGageMikpKRg1apVyMrKQp8+fZQuh4iIzMhS6QKqV6+Ohw8fQqVS4cGDB1izZo3SJRERkZkoHjIqlUrpEoiISBLFD5cREVHJpfiejLGysrKQlZWlfZ+RkaFgNUREZEixDZkFCxYgJCTErMt0nx5jsD0x1M+s6yluOC76chsTwLzjYs6xL+iy8trG4saYbSnoPIXx927uZRXGv+Fie7gsMDAQ6enp2ldSUpLSJRER0SuK7Z6MWq2GWq1WugwiIspDsd2TISKioq9I7Mns3bsXjx8/xqNHjwAA8fHx+O677wAAvr6+KFu2rJLlERGRkYpEyIwZMwY3b97Uvo+OjkZ0dDQAICEhAe7u7gpVRkREpigSIZOYmKh0CUREJAHPyRARkTQMGSIikoYhQ0RE0jBkiIhIGoYMERFJw5AhIiJpGDJERCQNQ4aIiKRhyBARkTQMGSIikoYhQ0RE0jBkiIhIGoYMERFJw5AhIiJpGDJERCQNQ4aIiKRhyBARkTQMGSIikoYhQ0RE0jBkiIhIGoYMERFJw5AhIiJpGDJERCQNQ4aIiKRhyBARkTQMGSIikoYhQ0RE0jBkiIhIGoYMERFJw5AhIiJpGDJERCRNkQiZzMxMTJo0CS4uLrC2tkbTpk2xZcsWpcsiIiITWSpdAAD069cPJ0+eRGhoKOrUqYPIyEgMHDgQGo0GgwYNUro8IiIykuIhs2fPHuzfv18bLADQuXNn3Lx5E1OnTsWAAQNgYWGhcJVERGQMxQ+X7dixAzY2Nnjvvfd02v39/ZGcnIzjx48rVBkREZlK8ZC5cOEC6tWrB0tL3Z2qxo0ba6cTEVHxpPjhspSUFNSsWVOv3d7eXjvdkKysLGRlZWnfp6enAwAyMjKMrkWT9ZfBdlOWWRJwXPTlNiZA7uNizDiac+wLuqy8tjE35qzLGObcFnOtu7DWbwxT/g3nzCuEyLujUFjt2rWFj4+PXntycrIAIBYsWGBwvqCgIAGAL7744osvBV9JSUl5fscrvifj4OBgcG8lNTUVwP/v0bwqMDAQn3zyifa9RqNBamoqHBwcoFKp8lxnRkYGXF1dkZSUBFtbWxOqLxk4Hro4Hvo4Jro4HoAQAo8ePYKLi0ue/RQPmUaNGiEqKgrZ2dk652XOnz8PAGjYsKHB+dRqNdRqtU6bnZ1dgdZta2v7xn5ADOF46OJ46OOY6HrTx6NChQqv7aP4if++ffsiMzMT27Zt02lfv349XFxc0Lp1a4UqIyIiUym+J/Puu+/C29sbY8aMQUZGBmrVqoWoqCjs27cPmzZt4m9kiIiKMcVDBgC2b9+OmTNnYs6cOUhNTYWHhweioqLwz3/+U8r61Go1goKC9A63vak4Hro4Hvo4Jro4HvmnEuJ1158REREZR/FzMkREVHIxZIiISBqGDBERSfNGhIwpz6tZt24dVCqVwdedO3ckVy6POZ/hM2vWLKhUqlx/01QcmDIeP//8M7y9veHi4gK1Wg0nJyd06dIFe/bskVy1PKaMx/bt2zFw4EDUqlULZcqUgbu7Oz744ANcvXpVctXymDIef/zxByZNmgRPT0/Y2dlBpVJh3bp1cgsuQorE1WWymeN5NWvXroWHh4dOm4ODg4xyC4W5nuFz5swZ/Otf/0LlypUlViufKeORkpKCBg0aYPjw4XB2dkZqaioiIiLg5+eHjRs3YvDgwYW0FeZjyngsXLgQzs7OmDlzJmrWrImkpCTMnz8fzZs3x7Fjx9CgQYNC2grzMWU8rl27hs2bN6Np06bw9fVFVFRUIVVdRJh+97GiLSYmRgAQkZGROu3e3t7CxcVFZGdn5zn/2rVrBQBx8uRJmWUWKlPHJMfz589F06ZNxYQJE4Snp6do0KCBjHKlM9d4vOzZs2eiatWqomPHjuYqs9CYOh53797Va7t9+7awsrISw4YNM2uthcHU8fj777+1fz558qQAINauXSuj1CKpxB8u4/Nq9JlrTEJDQ5GamoovvvhCRpmFRsZnxMrKCnZ2dnqPsCgOTB0PJycnvTYXFxdUq1YNSUlJZq21MJg6HqVKlfiv2TyV+K031/NqevToAQsLC9jb26Nfv37F+jk35hiT+Ph4zJs3D+Hh4bCxsZFSZ2Ex12dEo9EgOzsbycnJCAoKwpUrV/Dpp5+avV7ZZDzj6caNG7h582axPFTGZ16Zpvj9N6uAjH1eTY6cY8tt2rSBra0tzp8/j9DQULRp0wZHjhxBkyZNpNQtk6ljotFoEBAQgH79+sHX11dKjYXJ1PHI4evrix9//BHAixsnbt26FX5+fuYrtJCYazxyZGdnY9iwYbCxscHkyZPNUmNhMvd4vGmK1Z7MwYMHc73S69XXmTNntPPldev/1z0WwMfHB/PmzUOPHj3QqVMnjBs3DocPH4ZKpcKcOXPMtWlGU2JMvvzyS1y9ehVff/21mbbCfJQYjxxLly7FiRMnsHPnTnTv3h0DBgxQ/CSvkuMBvLgd/LBhw3D48GFs2LABrq6upmyOyZQejzdRsdqTqVu3LlavXp2vvm5ubgCMf15NXtzd3dGhQwccO3aswPOaW2GPya1btzBnzhyEhoaidOnSSEtLA/Dif6sajQZpaWlQq9UoU6ZMAbfEPJT8jNSuXVv75169euHdd9/FuHHjMGDAAMWOyys5HkIIDB8+HJs2bcL69evRu3fvfFYtT1H5DnmjKH3lgWwjRowQNjY24vnz5zrtUVFRAoA4cuSIUcvt3r27cHZ2NkeJhc6UMYmLi3vtk/ImTpwoeQvMS9ZnZM6cOQKAuHPnjjnKLDTmGA+NRiMCAgKESqUS3377raxSC4U5Px9v4tVlJT5k9uzZIwCILVu26LT7+PgYfXnqjRs3hI2NjejTp4+5yixUpozJw4cPRVxcnN6rSZMmwt3dXcTFxYmrV6/K3gSzkvEZ0Wg0wtPTU9jZ2el9ORV1po6HRqMRw4YNEyqVSqxatUpmqYXCnJ8PhkwJ5e3tLSpWrChWrVolDhw4IEaMGCEAiE2bNun0CwgIEBYWFiIxMVHb1rVrVxESEiJ27NghYmNjxddffy1cXFxE+fLlxfnz5wt7U8zGlDExpDj/TkYI08ajV69eYvbs2WLbtm3i4MGDIjIyUnTr1k0AEMuXLy/sTTELU8Zj/PjxAoAICAgQR48e1Xn99ttvhb0pZmHqv5fo6GgRHR0tFi5cKACIcePGadtKujciZB49eiQmTJggnJ2dRenSpUXjxo1FVFSUXr+hQ4cKACIhIUHbNmnSJFG/fn1Rvnx5YWlpKVxcXMTgwYPF5cuXC3ELzM+UMTGkuIeMKeOxcOFC0apVK1GxYkVhYWEhHBwcRPfu3cXu3bsLcQvMy5TxqF69eq6HUqtXr154G2FGpv57yevwcknH58kQEZE0xeoSZiIiKl4YMkREJA1DhoiIpGHIEBGRNAwZIiKShiFDRETSMGSIiEgahgyZ7Pjx4+jbty/c3NygVqtRuXJltG3b1uhnqXz00Udwd3fXaXN3d8dHH32kfZ+YmFisn5X+119/ITg4GAcPHpSy/LS0NDg6Ouo8h/7ChQvo0KEDypcvjxYtWuDIkSN68y1evBh16tTB06dPc132Dz/8AEtLS9y/fz/XPjl3O5a1fQAwe/ZsNG/eHBqNRto6yHQMGTJJTEwM2rVrh4yMDCxatAg//fQTlixZgvbt22Pr1q1GLXP27NnYsWNHnn2qVKmCo0ePFsvntQAvQiYkJETal3BISAhcXFwwYMAAAC/ukt2vXz84Ojpi+/btaNq0KXr37q29izbwIrhDQkIQEREBa2vrXJe9bds2dOrUCZUqVZJSe35NmTIFCQkJWL9+vaJ10GsofcsBKt46deok3nrrLYM3gXz52eamql69uhg6dKjZlmduz549K9CNMO/fvy8AiKCgILPXkpKSIsqUKSMiIiK0bfHx8QKASE5OFkK8qLdcuXJi79692j4+Pj6vHeNnz54JOzs7sWzZsjz75dytOy4uzujtyI/x48eLOnXqCI1GI3U9ZDzuyZBJUlJS4OjoaPBZ9q8+Q0Wj0WDRokXw8PCAWq2Gk5MTPvzwQ/zxxx86/QwdLnuVocNlwcHBUKlUuHjxIgYOHIgKFSqgcuXKCAgIQHp6us78aWlpGDZsGOzt7WFjYwM/Pz/cuHEDKpUKwcHBea4751DQxo0b8emnn6Jq1apQq9W4du0a7t+/j7Fjx6J+/fqwsbGBk5MTunTpgsOHD+vUnrMXEBISon1I1suHA69evYpBgwbByckJarUa9erVw/Lly/OsK8e6deuQnZ2t3YsBoD38Va5cOQCAlZUVSpcurW2PiorC//73P4SFheW57NjYWKSnp6Nv377att9//x0+Pj4oW7YsHB0dMXr0aDx69Ehv3v3796N3796oVq0arK2tUatWLYwaNQoPHjzQ9sl5IKChh71t2LABKpUKJ0+e1LYNGTIEV65cQVxcXH6GhhTAkCGTtG3bFsePH8eECRNw/PhxPH/+PNe+Y8aMwbRp0+Dt7Y0ffvgBc+fOxb59+9CuXTudLxpT9e/fH3Xq1MG2bdswffp0REZG6jz2V6PRoGfPnoiMjMS0adOwY8cOtG7dGj4+PgVaT2BgIG7duoWIiAjs2rULTk5O2gdZBQUFISYmBmvXrkXNmjXh5eWlPTRWpUoV7Nu3DwAwbNgwHD16FEePHsXs2bMBAPHx8WjVqhUuXLiAsLAw7N69G35+fpgwYQJCQkJeW1dMTAyaNWsGOzs7bZuHhwfs7e2xcOFCpKWlYfny5Xj8+DFatmyJhw8fYvLkyfjyyy/h4OCQ57K3bduGtm3bwsXFBQBw9+5deHp64sKFC1ixYgU2btyIzMxMjB8/Xm/e69evo23btggPD8dPP/2EOXPm4Pjx4+jQoYP2c9OxY0c0a9bMYKAuW7YMrVq1QqtWrbRtLVq0gI2NDWJiYl47LqQQpXelqHh78OCB6NChg/aOslZWVqJdu3ZiwYIF4tGjR9p+ly5dEgDE2LFjdeY/fvy4ACBmzJihbRs6dKje3XpfPVyWkJCg91yOoKAgAUAsWrRIZ96xY8cKa2tr7SGVmJgYAUCEh4fr9FuwYEG+DmHlHArq1KlTnv2EECI7O1s8f/5cdO3aVfTt21fbntfhsu7du4tq1aqJ9PR0nfbx48cLa2trkZqamuc6y5YtK0aPHq3XvmPHDmFraysACLVaLVauXCmEEGLYsGHinXfeyde2ODo6irCwMG3btGnThEqlEmfOnNHp6+3tnefhMo1GI54/fy5u3rwpAIidO3dqp61du1YAEKdPn9a2nThxQgAQ69ev11tW+/btRevWrV9bPymDezJkEgcHBxw+fBgnT55EaGgoevfujStXriAwMBCNGjXS7qHkHM54+ZAQALz99tuoV68eYmNjzVZTr169dN43btwYT58+xb179wAAhw4dAgC8//77Ov0GDhxYoPX079/fYHtERASaN28Oa2trWFpawsrKCrGxsbh06dJrl/n06VPExsaib9++KFu2LLKzs7UvX19fPH36NM/HfqelpeGvv/6Ck5OT3rQ+ffrg3r17uHTpElJSUjBy5Ej88ssviIqKQkREBJ48eYLx48ejSpUqcHNzQ3BwMMRLN2k/dOgQHjx4gH79+mnb4uLi0KBBAzRp0kRnXYMGDdJb/7179zB69Gi4urpqx6V69eoAoDM2AwcOhJOTk87ezNKlS1GpUiWdQ4A5nJyccPv27VzHhJTFkCGzaNmyJaZNm4bo6GgkJydj8uTJSExMxKJFiwBA+4z0KlWq6M3r4uJi8Bnqxnr1kI9arQYAPHnyRFuLpaWl3rPZK1euXKD1GNqWL7/8EmPGjEHr1q2xbds2HDt2DCdPnoSPj492/XlJSUlBdnY2li5dCisrK52Xr68vAOR5aDFnHbldHaZWq+Hh4YFy5crh2bNnGDVqFGbNmoW33noL8+fPx6+//orTp08jNjYWa9as0Tnn9d1336FFixY658tSUlLg7Oyst55X2zQaDbp164bt27fjs88+Q2xsLE6cOKENzJfHRq1WY9SoUYiMjERaWhru37+P//znPxg+fLj27/Jl1tbW+RpbUob+2VoiE1lZWSEoKAhfffUVLly4AOD/v/j//PNPVKtWTad/cnIyHB0dC60+BwcHZGdnIzU1VSdo7ty5U6DlqFQqvbZNmzbBy8sL4eHhOu2GToQbUrFiRVhYWGDIkCEYN26cwT41atTIdf6ccc45N5SX+fPnw9LSElOmTAEA7N27F/7+/nB2doazszPef/997NmzB/7+/tBoNNixYwcmTJigtz5D4/Zq24ULF3D27FmsW7cOQ4cO1bZfu3bNYG1jxoxBaGgovv32Wzx9+hTZ2dkYPXq0wb6pqamF+vmhguGeDJnkzz//NNiec/gj5wRxly5dALz4En7ZyZMncenSJXTt2lVilbo8PT0BQO93PC//cNFYKpVK73/b586dw9GjR3XaXt27ylG2bFl07twZp0+fRuPGjdGyZUu9V14n50uXLo2aNWvi+vXredZ5+fJlLFq0CKtXr4aVlRUAQAiBx48fa/tkZmZqD5f9+uuvuHPnjt4hws6dO+PixYs4e/asTntkZKTO+5xAfnVsVq5cabC+KlWq4L333sOKFSsQERGBnj17ws3NzWDfGzduoH79+nluLymHezJkku7du6NatWro2bMnPDw8oNFocObMGYSFhcHGxgYTJ04EANStWxcjR47E0qVLUapUKbz77rtITEzE7Nmz4erqqnP1l2w+Pj5o3749Pv30U2RkZKBFixY4evQoNmzYAED/0uuC6NGjB+bOnYugoCB4enri8uXL+Pzzz1GjRg1kZ2dr+5UvXx7Vq1fHzp070bVrV9jb28PR0RHu7u5YsmQJOnTogI4dO2LMmDFwd3fHo0ePcO3aNezatQsHDhzIswYvLy/s3bs31+lCCIwcORL+/v5o06aNtr179+745ptvULt2bWRmZiIyMhJff/01gBeHyho2bIg6deroLGvSpEn49ttv4efnh3nz5qFy5crYvHkzfv/9d51+Hh4eeOuttzB9+nQIIWBvb49du3Zh//79udY5ceJEtG7dGgCwdu1ag31SUlJw9epVfPzxx3mOCSlI0csOqNjbunWrGDRokKhdu7awsbERVlZWws3NTQwZMkTEx8fr9P3777/FwoULRZ06dYSVlZVwdHQUgwcPFklJSTr9TL267P79+zrz5lyt9PJz11NTU4W/v7+ws7MTZcuWFd7e3uLYsWMCgFiyZEme25xzdVl0dLTetKysLDFlyhRRtWpVYW1tLZo3by6+//57g9v0888/i2bNmgm1Wi0A6G1fQECAqFq1qrCyshKVKlUS7dq1E/PmzcuzNiGEiI2NFQDEiRMnDE5fs2aNcHFx0bt6LTMzUwwfPlw4ODiIypUri+nTp2t/UOvq6prrVXfx8fHC29tbWFtbC3t7ezFs2DCxc+dOvavLcvqVL19eVKxYUbz33nvi1q1beV7R5+7uLurVq5frtv773/8WVlZW4s6dO7kPCClKJcRLl48QvcEiIyPxwQcf4MiRI2jXrp3S5ZikcePGaN++vd65IWOcOHECrVu3xrlz59CoUSMzVJc/586dQ5MmTbB8+XKMHTvWYJ+OHTvCzc0NmzdvLrS6qGAYMvRGioqKwu3bt9GoUSOUKlUKx44dw+LFi9GsWTPtJc7F2b59+9C3b19cvXpV70KLou769eu4efMmZsyYgVu3buHatWsoW7asXr9ffvkF3bp1Q3x8PGrWrKlApZQfPPFPb6Ty5ctjy5YtGDBgAHx9fbF69Wp89NFH2LVrl9KlmYWPjw8WL16MhIQEpUspsLlz58Lb2xuZmZmIjo42GDDAi/MxGzZsYMAUcdyTISIiabgnQ0RE0jBkiIhIGoYMERFJw5AhIiJpGDJERCQNQ4aIiKRhyBARkTQMGSIikoYhQ0RE0vwfO/zmvFHNL9sAAAAASUVORK5CYII=",
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       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -690,8 +691,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/Documents/GitHub/rdtools/rdtools/filtering.py:812: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\n"
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/filtering.py:812: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\n",
+      "/home/mspringe/.conda-envs/rdtools3-nb/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:02:44] WARNING: /workspace/src/learner.cc:872: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n",
+      "  warnings.warn(smsg, UserWarning)\n"
      ]
     }
    ],
@@ -823,7 +826,7 @@
        "2010-02-25 14:18:00-07:00    False\n",
        "2010-02-25 14:19:00-07:00    False\n",
        "2010-02-25 14:20:00-07:00    False\n",
-       "Freq: T, dtype: bool"
+       "Freq: min, dtype: bool"
       ]
      },
      "execution_count": 25,
@@ -846,71 +849,18 @@
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        "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
-       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
        "        if (typeof require !== 'undefined') {\n",
        "        require.undef(\"plotly\");\n",
        "        define('plotly', function(require, exports, module) {\n",
        "            /**\n",
-       "* plotly.js v1.55.2\n",
-       "* Copyright 2012-2020, Plotly, Inc.\n",
+       "* plotly.js v2.34.0\n",
+       "* Copyright 2012-2024, Plotly, Inc.\n",
        "* All rights reserved.\n",
        "* Licensed under the MIT license\n",
        "*/\n",
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this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return h(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):f(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function 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-       "/*!\n",
-       " * The buffer module from node.js, for the browser.\n",
-       " *\n",
-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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i=e(t,r.key);n.push(r),i<0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>0&&(a=n.length),r=i<=0?r.left:r.right}return n.length=a,new f(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>=0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var a=e(t,r.key);if(n.push(r),0===a)return new f(this,n);r=a<=0?r.left:r.right}return new f(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new f(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var h=e[e.length-2];h.left===r?h.left=null:h.right===r&&(h.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var f=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=a(n)).right=a(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=a(n)).left=a(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=i(0,n));r.right=i(0,n);continue}n=a(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=a(n)).left=a(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=a(n)).right=a(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=i(0,n));r.left=i(0,n);continue}var c;n=a(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),f.left===r?f.left=null:f.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),a=e[e.length-1];r[r.length-1]=new n(a._color,a.key,t,a.left,a.right,a._count);for(var i=e.length-2;i>=0;--i)(a=e[i]).left===e[i+1]?r[i]=new n(a._color,a.key,a.value,r[i+1],a.right,a._count):r[i]=new n(a._color,a.key,a.value,a.left,r[i+1],a._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function i(t){if(t<0)return Number(\"0/0\");for(var e=a[0],r=a.length-1;r>0;--r)e+=a[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(i(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=i},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf(\"webgl\")&&i.push(\"experimental-\"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),a=t(\"./lib/lines.js\"),i=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use 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f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":280,\"gl-mat4/transpose\":289,\"gl-vec4/transformMat4\":403,\"split-polygon\":538}],258:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FOR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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new 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c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return 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this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
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-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ei.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=this.symbolInstances.get(n[r]);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function a(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,a.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(a,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=this._layers[n[r]];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Xe=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ir=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,a,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*a)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var a=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(a)},{originalEvent:t})}}):i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(i)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,a=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},va.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},va.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ya.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wa))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new va({customAttribution:e.customAttribution})),this.addControl(new ya,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):i!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ea.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ca.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var f=h[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pa[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ra=0,Fa=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fa)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ra--,Fa=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qa.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qa.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
-       "/*\n",
-       "object-assign\n",
-       "(c) Sindre Sorhus\n",
-       "@license MIT\n",
-       "*/\n",
-       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use 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Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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n=r(94724),i=r(25376),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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strict\";t.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}},64013:function(t,e,r){\"use strict\";var n=r(3400),i=r(31780),a=r(26332),o=r(25404),s=r(95936),l=r(42568),u=r(42996);t.exports=function(t,e,r){var c=i.newContainer(e,\"colorbar\"),f=t.colorbar||{};function h(t,e){return n.coerce(f,c,u,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,v=r.height-p.t-p.b,g=\"v\"===h(\"orientation\"),y=h(\"thicknessmode\");h(\"thickness\",\"fraction\"===y?30/(g?d:v):30);var m=h(\"lenmode\");h(\"len\",\"fraction\"===m?1:g?v:d);var x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var M=r.font,S={noAutotickangles:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(f,c,h,\"linear\",S),s(f,c,h,\"linear\",S),o(f,c,h,\"linear\",S),h(\"title.text\",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},M,{family:E.family,size:n.bigFont(E.size)});n.coerceFont(h,\"title.font\",L),h(\"title.side\",g?\"top\":\"right\")}},37848:function(t,e,r){\"use strict\";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,O=e.xpad,P=e.ypad,I=e.x,D=o?e.y:1-e.y,z=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+O:D*et+P),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:D-it*J,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,q);lt.position=J+(o?I+O/B.w:D+P/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+O/B.w,lt.titley=ot+(\"top\"===U.side?Q-P/B.h:P/B.h)),o||ut||(lt.title.side=V,lt.titley=D+P/B.h,lt.titlex=ot+O/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+O/B.w,ot+Q-O/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=O+B.l+tt*I,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=O+B.l+tt*I,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*D+3+.75*yt,t=O+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+K+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-K-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var 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e?e.ypx:J[0]._length/2;if(e.pointerX=bt+K[0]._offset,e.pointerY=_t+J[0]._offset,nt=\"xval\"in e?x.flat(b,e.xval):x.p2c(K,bt),it=\"yval\"in e?x.flat(b,e.yval):x.p2c(J,_t),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ft=S,x.isUnifiedHover(ft)&&(ft=ft.charAt(0)),\"splom\"===lt.type?ut=b[ct=0]:(ut=x.getSubplot(lt),ct=b.indexOf(ut)),dt={cd:st,trace:lt,xa:K[ct],ya:J[ct],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},_[ut]&&(dt.subplot=_[ut]._subplot),_._splomScenes&&_._splomScenes[lt.uid]&&(dt.scene=_._splomScenes[lt.uid]),\"array\"===ft){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ft=\"closest\"):(ft=\"\",\"xval\"in a&&(ht=a.xval,ft=\"x\"),\"yval\"in a&&(pt=a.yval,ft=ft?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ht=r,pt=n):(ht=nt[ct],pt=it[ct]);if(vt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ht,pt,ft,{finiteRange:!0,hoverLayer:_._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>vt&&(gt.splice(0,vt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var c=lt._module.hoverPoints(dt,ht,pt,\"closest\",{hoverLayer:_._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=rt}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=Et(p),(!mt.vLinePoint||mt.vLinePoint.spikeDistance>f.spikeDistance)&&(mt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=Et(g),(!mt.hLinePoint||mt.hLinePoint.spikeDistance>f.spikeDistance)&&(mt.hLinePoint=f))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Lt={fullLayout:_,container:_._hoverlayer,event:e},Ct=t._spikepoints,Ot={vLinePoint:mt.vLinePoint,hLinePoint:mt.hLinePoint};t._spikepoints=Ot;var Pt=function(){var t=gt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var It=S.charAt(0),Dt=(\"x\"===It||\"y\"===It)&&gt[0]&&O[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var zt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Dt);mt.hLinePoint=Et(zt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Dt);mt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=v.unhoverRaw(t,e);return!M||null===mt.hLinePoint&&null===mt.vLinePoint||U(Ct)&&j(t,mt,Lt),Ft}if(M&&U(Ct)&&j(t,mt,Lt),x.isXYhover(ft)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=C[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,_),q(\"y\",Bt,_));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=C[t.trace.type]?I(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Wt=[],Yt=H(t),Xt=G(t);for(at=0;at<gt.length;at++){var Zt=gt[at],Kt=x.makeEventData(Zt,Zt.trace,Zt.cd);if(!1!==Zt.hovertemplate){var Jt=!1;Zt.cd[Zt.index]&&Zt.cd[Zt.index].ht&&(Jt=Zt.cd[Zt.index].ht),Zt.hovertemplate=Jt||Zt.trace.hovertemplate||!1}if(Zt.xa&&Zt.ya){var $t=Zt.x0+Zt.xa._offset,Qt=Zt.x1+Zt.xa._offset,te=Zt.y0+Zt.ya._offset,ee=Zt.y1+Zt.ya._offset,re=Math.min($t,Qt),ne=Math.max($t,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);Kt.bbox={x0:re+Xt,x1:ne+Xt,y0:ie+Yt,y1:ae+Yt}}Zt.eventData=[Kt],Wt.push(Kt)}t._hoverdata=Wt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(_.plot_bgcolor||d.background,_.paper_bgcolor),le=z(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:_._hoverlayer,outerContainer:_._paper.node(),commonLabelOpts:_.hoverlabel,hoverdistance:_.hoverdistance}),ue=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=F(t,e),v=t.anchor,k=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);u=t.crossPos+Math.min(M,S),c=t.crossPos+Math.max(M,S)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],L=M[M.length-1],C=S[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var O=g[s];for(l=O.length-1;l>=0;l--){var P=O[l],I=P.datum;I.offset=P.dp,I.del=P.del}}}(ue,oe,_,le.commonLabelBoundingBox),B(ue,oe,_._invScaleX,_._invScaleY)),l&&l.tagName){var ce=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Wt);h(n.select(l),ce?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:K,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(m.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;c+=y,f+=y,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var D=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||b.HOVERFONT,k=e.fontSize||b.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,C=e.fontTextcase||i.font.textcase,O=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,D=t[0],z=D.xa,F=D.ya,B=a.charAt(0),N=B+\"Label\",j=D[N];if(void 0===j&&\"multicategory\"===z.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=W(r,v),q=V.top,H=V.width,G=V.height,Y=void 0!==j&&D.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(Y){var X,Z,K=!0;for(X=0;X<t.length;X++)if(K&&void 0===t[X].zLabel&&(K=!1),Z=t[X].hoverinfo||t[X].trace.hoverinfo){var J=Array.isArray(Z)?Z:Z.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){Y=!1;break}}K&&(Y=!1)}var $=h.selectAll(\"g.axistext\").data(Y?[0]:[]);$.enter().append(\"g\").classed(\"axistext\",!0),$.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if($.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v=g.font,m={weight:v.weight||A,style:v.style||M,variant:v.variant||S,textcase:v.textcase||C,lineposition:v.lineposition||O,shadow:v.shadow||P,family:v.family||y,size:v.size||k,color:v.color||h};e.style({fill:u,stroke:c}),s.text(j).call(p.font,m).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var x,b,_=W(r,s.node());if(\"x\"===a){var w=\"top\"===z.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===z.side?q-_.bottom-E-L:q-_.top+E+L),x=z._offset+(D.x0+D.x1)/2,b=F._offset+(\"top\"===z.side?0:F._length);var T=_.width/2+L,I=x;x<T?I=T:x>i.width-T&&(I=i.width-T),e.attr(\"d\",\"M\"+(x-I)+\",0L\"+(x-I+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*L+_.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-I-E)+\"Z\"),x=I,Q.minX=x-T,Q.maxX=x+T,\"top\"===z.side?(Q.minY=b-(2*L+_.height),Q.maxY=b-L):(Q.minY=b+L,Q.maxY=b+(2*L+_.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=z._offset+z._length):(R=\"end\",B=-1,N=\"-\",x=z._offset),b=F._offset+(D.y0+D.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(L+_.height/2)+\"h\"+N+(2*L+_.width)+\"V-\"+(L+_.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=b-(L+_.height/2),Q.maxY=b+(L+_.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*L+_.width)):(Q.minX=x-E-(2*L+_.width),Q.maxX=x-E);var 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et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};_(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ut=lt[0],ct=lt[1];st.name=ct,st.text=\"\"!==ct?ct+\" : \"+ut:ut;var ft=st.cd[st.index];ft&&(ft.mc&&(st.mc=ft.mc),ft.mcc&&(st.mc=ft.mcc),ft.mlc&&(st.mlc=ft.mlc),ft.mlcc&&(st.mlc=ft.mlcc),ft.mlw&&(st.mlw=ft.mlw),ft.mrc&&(st.mrc=ft.mrc),ft.dir&&(st.dir=ft.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=h,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=P(i);i||(i=a[o]);var s=a._size,l=b.isVertical(i),c=b.isGrouped(i),f=\"fraction\"===i.entrywidthmode,h=i.borderwidth,d=2*h,v=p.itemGap,g=i.indentation+i.itemwidth+2*v,y=2*(h+v),m=O(i),x=i.y<0||0===i.y&&\"top\"===m,_=i.y>1||1===i.y&&\"bottom\"===m,w=i.tracegroupgap,T={};i._maxHeight=Math.max(x||_?a.height/2:s.h,30);var A=0;i._width=0,i._height=0;var M=function(t){var e=0,r=0,n=t.title.side;return n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight)),[e,r]}(i);if(l)r.each((function(t){var e=t[0].height;u.setTranslate(this,h+M[0],h+M[1]+i._height+e/2+v),i._height+=e,i._width=Math.max(i._width,t[0].width)})),A=g+i._width,i._width+=v+g+d,i._height+=y,c&&(e.each((function(t,e){u.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var S=C(i),E=i.x<0||0===i.x&&\"right\"===S,L=i.x>1||1===i.x&&\"left\"===S,I=_||x,D=a.width/2;i._maxWidth=Math.max(E?I&&\"left\"===S?s.l+s.w:D:L?I&&\"right\"===S?s.r+s.w:D:s.w,2*g);var 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P=S,I=E;S=k?i.constrain(S,0,d.width-h._width):P,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var D=h._effHeight;T&&(D=h._height),U.attr({width:h._width-_,height:D-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:D-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(z=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,z,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(t){if(t.target!==G.node()){var e=u.getTranslate(N);m=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==m&&void 0!==x){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=P(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function O(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  Changing format to svg.\"),\"long\"),r.format=\"svg\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call(\"downloadImage\",t,r).then((function(e){l.notifier(u(t,\"Snapshot succeeded\")+\" - \"+e,\"long\")})).catch((function(){l.notifier(u(t,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")}))}},c.sendDataToCloud={name:\"sendDataToCloud\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:\"editInChartStudio\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:o.zoombox,click:f},c.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var O=[],P=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):y?(O=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(O=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:m?P=[\"hoverClosestPie\"]:A?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"],v&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(P=[]),!v&&!b||M||(O=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(O.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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o=e[r],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},74636:function(t){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],O=l._rl[1],P=O-C;if(l.p2d=function(t){return t/l._width*P+C},l.d2p=function(t){return(t-C)/P*l._width},r.rangebreaks){var I=r.locateBreaks(C,O);if(I.length){var D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(O-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 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w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,O=r(73696),P=r(39172).redrawReglTraces,I=r(83280),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var O=lt(v,S[L]),P=lt(m,E[L]);h.push([O,P]),l=Math.min(O,l),u=Math.max(O,u),c=Math.min(P,c),f=Math.max(P,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w=\"drawcircle\"===i,T=\"drawline\"===i||w,k=n.gd,A=k._fullLayout,S=b&&\"immediate\"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),O=n.plotinfo,P=j(O),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var q,H,X,K,J,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt=\"M\"+F+\",\"+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll(\"path.select-outline-\"+O.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:\"rgba(0,0,0,0)\",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):\"#7f7f7f\");bt.enter().append(\"path\").attr(\"class\",\"select-outline 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],O=n[l][1],P=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),O=v(y.xaxis,O),P=v(y.xaxis,P),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(O+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-O+P-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0-(d.x0shift||0)),f(\"x1\",v.x1-(d.x1shift||0)),f(\"y0\",v.y0-(d.y0shift||0)),f(\"y1\",v.y1-(d.y1shift||0));break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var u=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(u(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,u,c,f,h,p,d,v=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),m=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),b=t._fullLayout._size,_=o(m,r.x0shift),w=o(m,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(m?\"domain\"===g?l=function(t){return m._offset+m._length*t}:(s=e.shapePositionToRange(m),l=function(t){return m._offset+m.r2p(s(t,!0))}):l=function(t){return b.l+b.w*t},x?\"domain\"===y?c=function(t){return x._offset+x._length*(1-t)}:(u=e.shapePositionToRange(x),c=function(t){return x._offset+x.r2p(u(t,!0))}):c=function(t){return b.t+b.h*(1-t)},\"path\"===v)return m&&\"date\"===m.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(c=e.decodeDate(c)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,l,c);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);f=A+r.x0+_,h=A+r.x1+w}else f=l(r.x0)+_,h=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=c(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=c(r.y0)+T,d=c(r.y1)+k;if(\"line\"===v)return\"M\"+f+\",\"+p+\"L\"+h+\",\"+d;if(\"rect\"===v)return\"M\"+f+\",\"+p+\"H\"+h+\"V\"+d+\"H\"+f+\"Z\";var S=(f+h)/2,E=(p+d)/2,L=Math.abs(S-f),C=Math.abs(E-p),O=\"A\"+L+\",\"+C,P=S+L+\",\"+E;return\"M\"+P+O+\" 0 1,1 \"+S+\",\"+(E-C)+O+\" 0 0,1 \"+P+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function O(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll(\"g.\"+f.groupClassName).data(a,y);u.enter().append(\"g\").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(O,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){\"use strict\";var n=r(60876);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},73712:function(t){\"use 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,O=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,I=d+v,D=g;I+O>l&&(I=l-O);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:O,height:P}),this._vbarYMin=D+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+O+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==D&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(U,t,t._definedDelta),t.rangebreaks){var gt=\"y\"===t._id.charAt(0),yt=1;\"auto\"===t.tickmode&&(yt=t.tickfont?t.tickfont.size:12);var mt=NaN;for(a=N.length-1;a>-1;a--)if(N[a].drop)N.splice(a,1);else{N[a].value=Ft(N[a].value,t);var xt=t.c2p(N[a].value);(gt?mt>xt-yt:mt<xt+yt)?N.splice(v?a+1:a,1):mt=xt}}Rt(t)&&360===Math.abs(d[1]-d[0])&&N.pop(),t._tmax=(N[N.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var bt,_t=function(e){e.text=\"\",t._prevDateHead=o};function wt(t,e){var r=W.tickText(t,e.value,!1,e.simpleLabel),n=e.periodX;return void 0!==n&&(r.periodX=n,(n>z||n<I)&&(n>z&&(r.periodX=z),n<I&&(r.periodX=I),_t(r))),r}for(N=N.concat(j),a=0;a<N.length;a++){var 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o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(bt(t.exponentformat)&&!_t(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function mt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}W.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*gt(e,n,ut);else if(o>T)e/=T,t.dtick=\"M\"+gt(e,1,ct);else if(o>M){if(t.dtick=gt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ht),!r){var l=W.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=gt(e,E,ct):o>L?t.dtick=gt(e,L,ft):o>C?t.dtick=gt(e,C,ft):(n=a(10),t.dtick=gt(e,n,ut))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+gt(e,n,ut)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Rt(t)?(t.tick0=0,n=1,t.dtick=gt(e,n,vt)):(t.tick0=0,n=a(10),t.dtick=gt(e,n,ut));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: 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a=t._tickround,o=r&&t.hoverformat||W.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf(\"\\n\");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||\"00:00:00\"!==u&&\"00:00\"!==u?8===u.length&&(u=u.replace(/:00$/,\"\")):(u=l,l=\"\")),l)if(r)\"d\"===a?u+=\", \"+l:u=l+(u?\", \"+u:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=Bt(t),h=t._trueSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(u+=\"<br> \")}else t._prevDateHead=l,u+=\"<br>\"+l;e.text=u}(t,o,r,u):\"log\"===c?function(t,e,r,n,a){var o=t.dtick,l=e.x,u=t.tickformat,c=\"string\"==typeof o&&o.charAt(0);if(\"never\"===a&&(a=\"\"),n&&\"L\"!==c&&(o=\"L3\",c=\"L\"),u||\"L\"===c)e.text=wt(Math.pow(10,l),t,a,n);else if(i(o)||\"D\"===c&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;\"power\"===p||bt(p)&&_t(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":I)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":I)+h:(e.text=wt(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==c)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,u,g):\"category\"===c?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\"),e.text=String(r)}(t,o):\"multicategory\"===c?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - 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k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,O=L,P=Math.abs(E-L),I=L-P*h*1.0001,D=L+P*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>O&&(O=F);h/=(O-C)/(2*P),C=l.l2r(C),O=l.l2r(O),l.range=l._input.range=S<E?[C,O]:[O,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},51184:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.numberFormat,o=r(49760),s=r(89184),l=r(24040),u=i.strTranslate,c=r(72736),f=r(76308),h=r(43616),p=r(93024),d=r(54460),v=r(93972),g=r(86476),y=r(72760),m=y.selectingOrDrawing,x=y.freeMode,b=r(84284).FROM_TL,_=r(73696),w=r(39172).redrawReglTraces,T=r(7316),k=r(79811).getFromId,A=r(22676).prepSelect,M=r(22676).clearOutline,S=r(22676).selectOnClick,E=r(21160),L=r(33816),C=L.MINDRAG,O=L.MINZOOM,P=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){P&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),P=!1)}function G(t){var 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0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var P,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(P=e.xaxis,I=e.yaxis,tt=P._length,et=I._length,$=P._offset,Q=I._offset,(V={})[P._id]=P,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Ot={element:bt,gd:t,plotinfo:e};function Pt(){Ot.plotinfo.selection=!1,M(t)}function It(t,r){var i=Ot.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Ot),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:P,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>O||o>O?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>O||o>O){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),O)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-O-.5)+\"h-3v\"+(2*O+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-O-.5)+\"h3v\"+(2*O+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,O)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-O-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*O+1)+\"v3ZM\"+(e-O-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*O+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Ot.prepFn=function(e,r,n){var a=Ot.dragmode,s=t._fullLayout.dragmode;s!==a&&(Ot.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Ot.minDrag=1:Ot.minDrag=void 0,m(s)?(Ot.xaxes=K,Ot.yaxes=J,A(e,r,n,Ot,s)):(Ot.clickFn=It,m(a)&&Pt(),ot||(\"zoom\"===s?(Ot.moveFn=Dt,Ot.doneFn=Rt,Ot.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Ot.moveFn=Ut,Ot.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Ot.moveFn(e.dx,e.dy))}}},g.init(Ot);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var 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n=r(33428),i=r(83356),a=i.geoPath,o=i.geoDistance,s=r(87108),l=r(24040),u=r(3400),c=u.strTranslate,f=r(76308),h=r(43616),p=r(93024),d=r(7316),v=r(54460),g=r(19280).getAutoRange,y=r(86476),m=r(22676).prepSelect,x=r(22676).clearOutline,b=r(22676).selectOnClick,_=r(79248),w=r(79552),T=r(27144),k=r(59972),A=r(55712).NO;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var 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c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var 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o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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\"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,O=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function H(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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v.coerceEnumerated(x,r)}(z,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],z),G=d.getInsideTextFont(z,i,q,H),W=d.getOutsideTextFont(z,i,q),Y=z.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&X.s0<=0&&(f=P.range[0]<P.range[1]?P._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=D(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=D(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=z.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"outside\"===z.constraintext,angle:lt}):O(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"inside\"===z.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===z.type?\"bar\":z.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,P,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,z,e,g)},toMoveInsideBar:O}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},60100:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(43616),o=r(3400),s=r(24040),l=r(82744).resizeText,u=r(20832),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(60444);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=m(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86040:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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P=C.selectAll(\"text\").data(O);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function O(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var P=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*D},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return z(P(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=P(t);return z(e)+\"rotate(\"+-u(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:I})}var F=[m].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(O).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(O).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(O).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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P=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?P.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll(\"g.threshold-bullet\").data(I);D.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),D.select(\"line\").attr(\"x1\",i.c2p(c.gauge.threshold.value)).attr(\"x2\",i.c2p(c.gauge.threshold.value)).attr(\"y1\",(1-c.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style(\"stroke-width\",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll(\"g.gauge-outline\").data([g]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var K=I.selectAll(\"text.title\").data(e);K.exit().remove(),K.enter().append(\"text\").classed(\"title\",!0),K.attr(\"text-anchor\",(function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},74212:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(52948);t.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}u([\"x\",\"y\",\"z\"])?(u([\"i\",\"j\",\"k\"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],s),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach((function(t){l(t)})),l(\"contour.show\")&&(l(\"contour.color\"),l(\"contour.width\")),\"intensity\"in 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),u=r(\"low\"),c=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&u&&c){var f=Math.min(s.length,l.length,u.length,c.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},36664:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);t.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},97384:function(t){\"use strict\";t.exports=function(t,e){var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",O).on(\"drag\",P).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,c=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,f=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,h=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u,textcase:c,lineposition:f,shadow:h}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function O(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=O(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+O(i.px0,i.pxmid,!0,1)+O(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+O(i.px0,i.pxmid,!1,k)+O(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=O(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+O(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function O(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),O=(.5*S-v.r)/h.w,P=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-O,xr:M.x[1]+O,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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r.update(e),r}},41904:function(t,e,r){\"use strict\";var n=r(3400),i=r(35484);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},156:function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \"),t.exports={attributes:r(35484),supplyDefaults:r(41904),calc:r(41484),plot:r(11072),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:r(39952),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},41440:function(t,e,r){\"use strict\";var n=r(25376),i=r(45464),a=r(22548),o=r(55756),s=r(86968).u,l=r(21776).Ks,u=r(49084),c=r(31780).templatedArray,f=r(29736).descriptionOnlyNumbers,h=r(92880).extendFlat,p=r(67824).overrideAll;(t.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),align:{valType:\"enumerated\",values:[\"justify\",\"left\",\"right\",\"center\"],dflt:\"justify\"}},link:{arrowlen:{valType:\"number\",min:0,dflt:0},label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},hovercolor:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:c(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(u().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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x=0;for(e=0;e<a.value.length;e++)a.source[e]>x&&(x=a.source[e]),a.target[e]>x&&(x=a.target[e]);var b,_=x+1;t.node._count=_;var w=t.node.groups,T={};for(e=0;e<w.length;e++){var k=w[e];for(b=0;b<k.length;b++){var A=k[b],M=_+e;T.hasOwnProperty(A)?i.warn(\"Node \"+A+\" is already part of a group.\"):T[A]=M}}var S={source:[],target:[]};for(e=0;e<a.value.length;e++){var E=a.value[e],L=a.source[e],C=a.target[e];if(E>0&&s(L,_)&&s(C,_)&&(!T.hasOwnProperty(L)||!T.hasOwnProperty(C)||T[L]!==T[C])){T.hasOwnProperty(C)&&(C=T[C]),T.hasOwnProperty(L)&&(L=T[L]),C=+C,p[L=+L]=p[C]=!0;var O=\"\";a.label&&a.label[e]&&(O=a.label[e]);var P=null;O&&d.hasOwnProperty(O)&&(P=d[O]),u.push({pointNumber:e,label:O,color:c?a.color[e]:a.color,hovercolor:f?a.hovercolor[e]:a.hovercolor,customdata:h?a.customdata[e]:a.customdata,concentrationscale:P,source:L,target:C,value:+E}),S.source.push(L),S.target.push(C)}}var I=_+w.length,D=o(r.color),z=o(r.customdata),R=[];for(e=0;e<I;e++)if(p[e]){var F=r.label[e];R.push({group:e>_-1,childrenNodes:[],pointNumber:e,label:F,color:D?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var B=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,S.source,S.target)&&(B=!0),{circular:B,links:u,nodes:R,groups:w,groupLookup:T}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},11820:function(t){\"use 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n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\"),y(\"align\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333,k=_(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var O=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-O/2,A.nodes[w].y1=C[1]+O/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function O(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=v.SYMBOL_SDF_SIZE,M=v.SYMBOL_SIZE,S=v.SYMBOL_STROKE,E={},L=u.symbolFuncs[0](.05*M);function C(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=u.symbolNumber(a),s=u.symbolFuncs[o%100],l=!!u.symbolNoDot[o%100],c=!!u.symbolNoFill[o%100],f=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var h=u.getMarkerAngle(t,e);return r=f&&!l?s(1.1*M,h)+L:s(M,h),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:c?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,O=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var P=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(P,I)&&w<=Math.max(P,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,O){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,O=L.t,P=O.index,I=C._length,D=O.x,z=O.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[P]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[P]=B}var N=O.xpx=new Array(I),j=O.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else O.xpx=O.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(6096),s=r(52904),l=r(5232),u=r(45464),c=r(49084),f=r(92880).extendFlat,h=r(67824).overrideAll,p=r(5232),d=o.line,v=o.marker;t.exports=h({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:f({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:f({},v.opacity,{dflt:1})},mode:f({},s.mode,{dflt:\"markers\"}),text:f({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:f({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:f({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:v.opacity,size:v.size,sizeref:v.sizeref,sizemin:v.sizemin,sizemode:v.sizemode},c(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:f({},u.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},79732:function(t){\"use 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k=b[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:b},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(m=f.size,m/2),mo:v||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)}}(e);O.geojson=D.geojson,O.layout.visibility=\"visible\",E&&(O.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":b(a.cluster.color,a.cluster.step),\"circle-radius\":b(a.cluster.size,a.cluster.step),\"circle-opacity\":b(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":_(a),\"text-size\":12}}),i.extendFlat(O.paint,{\"circle-color\":D.mcc,\"circle-radius\":D.mrc,\"circle-opacity\":D.mo})}if(M&&E&&(O.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):m,u=\"auto\"!==s?y(s,!0):m,f=c.hasText(n)?y(n.text):m,h=[],g=0;g<t.length;g++){var b=t[g];if(!x(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(b,n,r),A={};p(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(g);_&&(_=_.replace(d,\"\").replace(v,\"\\n\")),h.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(g),angle:u(g),text:_}})}}return{type:\"FeatureCollection\",features:h}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var z=(a.marker||{}).size,R=h(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":_(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},15752:function(t,e,r){\"use strict\";var n=r(3400),i=r(43028),a=r(74428),o=r(66828),s=r(124),l=r(70840),u=r(31512),c=r(79732).isSupportedFont;t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,h);if(d){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),i.hasMarkers(e)){a(t,e,r,f,h,{noLine:!0,noAngle:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var v=e.marker;\"circle\"!==v.symbol&&(n.isArrayOrTypedArray(v.size)&&(v.size=v.size[0]),n.isArrayOrTypedArray(v.color)&&(v.color=v.color[0]))}i.hasLines(e)&&(o(t,e,r,f,h,{noDash:!0}),h(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),m=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),b=p(\"cluster.opacity\");if(h(\"cluster.enabled\",!1!==g||!1!==y||!1!==m||!1!==x||!1!==b)||i.hasText(e)){var _=f.font.family;s(t,e,f,h,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:c(_)?_:\"Open Sans Regular\",weight:f.font.weight,style:f.font.style,size:f.font.size,color:f.font.color}})}h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},37920:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},11960:function(t,e,r){\"use strict\";var n=r(54460);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},63312:function(t,e,r){\"use strict\";var n=r(93024),i=r(3400),a=r(44928),o=i.fillText,s=r(39032).BADNUM,l=r(47552).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(c,b),t.extraText=u(c,b,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:u}},11572:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},O=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=O(A[1]).length,F=O(A[3]).length,B=O(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(C(A[1])),V=P(C(A[3])),q=P(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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C=Math.max(l(e.header.line.width),l(e.cells.line.width)),O={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return O.columns.forEach((function(t){t.calcdata=O,t.x=h(t)})),O}},53056:function(t,e,r){\"use strict\";var n=r(92880).extendFlat;e.splitToPanels=function(t){var 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return f(e,E(t))}));var o=a.selectAll(\".\"+n.cn.scrollbar).data(s.repeat,s.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=o.selectAll(\".\"+n.cn.scrollbarSlider).data(s.repeat,s.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return f(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var c=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,O=0|o[7],P=8191&O,I=O>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,Y)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,K)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Ot=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(u+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Ot,l[16]=Pt,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=ArrayBuffer,c=DataView;function f(t){return Array.isArray(t)||function(t){return u.isView(t)&&!(t instanceof c)}(t)}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function v(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?f(a)&&f(a[0]):f(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(f(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,h=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var v=0;v<3;++v)p[d][v]!==this.bounds[d][v]&&(h=!0),this.bounds[d][v]=p[d][v];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,c=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],m=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||c)&&this._text.update(this.bounds,this.labels,y,this.ticks,m):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,m),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new v,new v,new v];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var m=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var b=[0,0,0],_=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),c=u.cubeEdges,f=u.axis,p=n[12],d=n[13],v=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*v+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=f[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,c,f);e=this.gl;var S,E,L,C=m;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=f[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var O=[0,0,0];f[A]>0?O[A]=a[1][A]:O[A]=a[0][A];for(var P=0;P<2;++P){var I=(A+1+P)%3,D=(A+1+(1^P))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,O,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(P=0;P<2;++P)I=(A+1+P)%3,D=(A+1+(1^P))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,O,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=h(b,M[A].primalMinor),R=h(_,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];z[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=h(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);o(u[I],u[O],u[P],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[O],l[P],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var O=m?5:4;for(L=O;L===O;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var P=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(P[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],O=v[x],P=n.length(O)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var O,P;l?(O=x*(o[C]-c),P=x*(o[C+1]-c)):(O=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),P=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*O+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,O=t.vertexIntensity,P=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!P)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<O.length;++R){var F=O[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=O||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,O,P,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,O=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*P,z=6*Math.max(0,I-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=O+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],O=[],P=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=O.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,O.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),O.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),P=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),P=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<O.length;++t)O[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=O.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,P=P||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,P=P||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,P=P||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=O.length,n=0;n<e;++n){var i=O[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return h.isView(t)&&!(t instanceof p)}(t)}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return v(n,n),v(n,n),v(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new x(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var b=x.prototype;b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},b.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var _=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=f.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function L(t){return t[0]=t[1]=t[2]=0,t}function C(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function O(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],_[0]=2/o.drawingBufferWidth,_[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=_,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var y=M,m=0;m<16;++m)y[m]=0;for(m=0;m<4;++m)y[5*m]=1;y[5*v]=0,i[v]<0?y[12+v]=p[0][v]:y[12+v]=p[1][v],s(y,u,y),l.model=y;var x=(v+1)%3,b=(v+2)%3,P=L(w),I=L(T);P[x]=1,I[b]=1;var D=g(0,0,0,C(k,P)),z=g(0,0,0,C(A,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=P,P=I,I=R;var F=x;x=b,b=F}D[0]<0&&(P[x]=-1),z[1]>0&&(I[b]=-1);var B=0,N=0;for(m=0;m<4;++m)B+=Math.pow(u[4*x+m],2),N+=Math.pow(u[4*b+m],2);P[x]/=Math.sqrt(B),I[b]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=I,l.fragClipBounds[0]=O(S,d[0],v,-1e8),l.fragClipBounds[1]=O(S,d[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,_[0]=2/l.drawingBufferWidth,_[1]=2/l.drawingBufferHeight,u.screenSize=_,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=P,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function D(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var f=r.style;d(f)&&(f=f[e]),f||(f=\"normal\");var h=r.variant;d(h)&&(h=h[e]),h||(h=\"normal\");var p=u(a,{family:s,weight:l,style:f,variant:h},i);return{mesh:(p=u(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}b.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},b.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},b.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},b.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},b.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,v=t.size,g=t.angle,y=t.lineColor,x=-1,b=0,_=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;b+=3*A.cells.length,_+=2*M.edges.length}}var E=b+_,L=o.mallocFloat(3*E),C=o.mallocFloat(4*E),O=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var I=0,z=b,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k])}A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(v)?q=n<v.length?+v[n]:12:v?q=+v:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),W=Math.sin(H);for(T=s[n],k=0;k<3;++k)f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k]);var Y=i,X=a;Y=0,d(i)?Y=n<i.length?i[n]:0:i&&(Y=i),X=0,d(a)?X=n<a.length?a[n]:0:a&&(X=a);var Z=[Y*=Y>0?1-S[0][0]:Y<0?1+S[1][0]:1,X*=X>0?1-S[0][1]:X<0?1+S[1][1]:1],K=A.cells||[],J=A.positions||[];for(k=0;k<K.length;++k)for(var $=K[k],Q=0;Q<3;++Q){for(var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],O=(l-M)/(S-M),P=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(O)||(O=.5),isFinite(P)||(P=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,O),n.lerp(q,z,N,O),n.lerp(H,R,j,O),n.lerp(G,F,U,O);var W=n.create(),Y=n.create();n.lerp(W,V,H,P),n.lerp(Y,q,G,P);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var O=[C],P=[],I=d(C),D=C;P.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:O,velocities:P,divergences:z});for(var B=0;B<100*u&&O.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(O.push(N),D=N,P.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=O.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=O.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=P(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,O=Math.sqrt(E*E+L*L+C*C);O<1e-8?(O=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,E*O),b.set(o,y,1,L*O),b.set(o,y,2,C*O)}s.free(x.data);var P=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[P,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,O=k*E,P=T*L,I=T*E,D=C*f.get(_,M)+O*f.get(_,S)+P*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+O*p.get(_,S)+P*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?Pn(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?Pn(Cn(t[1],t.slice(2))):\"has\"===r?On(t[1]):\"!has\"===r?Pn(On(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function On(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Oi=function(){return Mi},Pi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),O=0;O<C.length;O+=3)this.indexArray.emplaceBack(k+C[O],k+C[O+2],k+C[O+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,O=A+h,P=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,O/I);z.z=P/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),O=k?C:0,P=k?0:C;if(p&&this.addCurrentVertex(c,v,O,P,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-O,-P,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Ol(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Ol(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,O=null,P=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,O={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=O.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)P=j.rect,O=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;O=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=O.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Ou(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Pu(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Oa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Oi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var O=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||O,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,O=b.isSDF,P=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,O,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,O,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,O,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,O,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Oc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Pc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Oc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Oc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Oo(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Oi()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Pc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Pl,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],O=f.points[C];O.zoom<=e||(O.zoom=e,r.push(O))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),O=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:O,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Ot=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Ot.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ot.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ot.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Ot.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Ot.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Ot.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Ot.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ot.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ot.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ot.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ot.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ot.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),O=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),P=se(e.writingMode,S,O,d);if(P)return P}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],O=E.path.length-1;O>=1;O--)C.push(E.path[O]);for(var P=1;P<L.path.length;P++)C.push(L.path[P]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},O=null,P=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;O=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||O.circles.length>0&&!O.collisionDetected,S=S&&O.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(P=Z(a.verticalIconBox)).box.length>0:(P=Z(a.iconBox)).box.length>0,S=S&&P.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),O&&(T&&i.collisionIndex.insertCollisionCircles(O.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<O.circles.length;tt+=4)Q.circles.push(O.circles[tt+0]),Q.circles.push(O.circles[tt+1]),Q.circles.push(O.circles[tt+2]),Q.circles.push(O.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var O=C?L:ze;d(e.icon,a.numIconVertices,O),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=C?ze:L;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Oe=Math.pow(2,9),Pe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Oe+e*Pe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Or=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,O=E.circleArray[C+0],P=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,O,P,I,D,0),k.emplace(A++,O,P,I,D,1),k.emplace(A++,O,P,I,D,2),k.emplace(A++,O,P,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,O=0;O<C.length;O++){var P=C.get(O);if(P.hidden)he(P.numGlyphs,d);else{var I=v[O];if(I)for(var D=0;D<P.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var O=C.programConfigurations.get(n.id),P=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(P,a,L),O),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:P?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Or(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,O=S.indexBuffer,P=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,P,n.id,C,O,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var O=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var P=w.gradients[n.id],I=P.texture;if(n.gradientVersion!==P.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(v,P.gradient,g.RGBA),P.version=n.gradientVersion,I=P.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,O,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Ot(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var On=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};On.prototype.clone=function(){var t=new On(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},On.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},On.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},On.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},On.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},On.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},On.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},On.prototype.zoomScale=function(t){return Math.pow(2,t)},On.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},On.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},On.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},On.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},On.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},On.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},On.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},On.prototype.coordinateLocation=function(t){return t.toLngLat()},On.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},On.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},On.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},On.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},On.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},On.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},On.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},On.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},On.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},On.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},On.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},On.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(On.prototype,Pn);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var O=E(0),P=function(t){return C(O)/C(O+_*t)},I=function(t){return w*((C(O)*(L(e=O+_*t)/C(e))-L(O))/S)/k;var e},D=(E(1)-O)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},P=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/P(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Oi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new On(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Oi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Xi--,Zi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),O=c.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,I=0;P<this.counts.length;P++){for(var D=this.counts[P],z=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],O[2*I]=z.width[B],F){var j=O[2*I-2],U=O[2*I],V=O[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}O[2*I+1]=V}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(O),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,O=L.color,P=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(O.length||P.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=O[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=P[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(O.length||P.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=O[F]&&(E[4*F]=O[F]%f,E[4*F+1]=Math.floor(O[F]/f)),null!=P[F]&&(E[4*F+2]=P[F]%f,E[4*F+3]=Math.floor(P[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],O=E[2],P=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+O*y-S[2],b+P*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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        "                            \n",
-       "var gd = document.getElementById('d36e14dc-04e6-49f3-9264-05ce442d3743');\n",
+       "var gd = document.getElementById('6c17a7eb-3b87-473b-916f-7adcaf0d13ca');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -62332,7 +62293,7 @@
    "outputs": [
     {
      "data": {
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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62416,7 +62377,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62452,7 +62413,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/degradation_and_soiling_example.ipynb b/docs/degradation_and_soiling_example.ipynb
deleted file mode 100644
index e8ab9dea..00000000
--- a/docs/degradation_and_soiling_example.ipynb
+++ /dev/null
@@ -1,890 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Degradation and soiling example with clearsky workflow\n",
-    "\n",
-    "\n",
-    "This juypter notebook is intended to the RdTools analysis workflow.  In addition, the notebook demonstrates the effects of changes in the workflow. For a consistent experience, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.10.\n",
-    "\n",
-    "The calculations consist of several steps illustrated here:\n",
-    "<ol start=\"0\">\n",
-    "  <li><b>Import and preliminary calculations</b></li>\n",
-    "  <li><b>Normalize</b> data using a performance metric</li>\n",
-    "  <li><b>Filter</b> data that creates bias</li>\n",
-    "  <li><b>Aggregate data</b></li>\n",
-    "  <li> <b>Analyze</b> aggregated data to estimate the degradation rate</li>\n",
-    "  <li> <b>Analyze</b> aggregated data to estimate the soiling loss</li>\n",
-    "</ol>\n",
-    "\n",
-    "After demonstrating these steps using sensor data, a modified version of the workflow is illustrated using modled clear sky irradiance and temperature. The results from the two methods are compared\n",
-    "\n",
-    "This notebook works with public data from the the Desert Knowledge Australia Solar Centre. Please download the site data from Site 12, and unzip the csv file in the folder:\n",
-    "./rdtools/docs/\n",
-    "\n",
-    "Note this example was run with data downloaded on Sept. 28, 2018. An older version of the data gave different sensor-based results. If you have an older version of the data and are getting different results, please try redownloading the data.\n",
-    "\n",
-    "http://dkasolarcentre.com.au/download?location=alice-springs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from datetime import timedelta\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pvlib\n",
-    "import rdtools\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Update the style of plots\n",
-    "import matplotlib\n",
-    "matplotlib.rcParams.update({'font.size': 12,\n",
-    "                           'figure.figsize': [4.5, 3],\n",
-    "                           'lines.markeredgewidth': 0,\n",
-    "                           'lines.markersize': 2\n",
-    "                           })\n",
-    "# Register time series plotting in pandas > 1.0\n",
-    "from pandas.plotting import register_matplotlib_converters\n",
-    "register_matplotlib_converters()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set the random seed for numpy to ensure consistent results\n",
-    "np.random.seed(0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 0: Import and preliminary calculations\n",
-    "\n",
-    "\n",
-    "This section prepares the data necesary for an `rdtools` calculation. The first step of the `rdtools` workflow is normaliztion, which requires a time series of energy yield, a time series of cell temperature, and a time series of irradiance, along with some metadata (see Step 1: Normalize)\n",
-    "\n",
-    "The following section loads the data, adjusts units where needed, and renames the critical columns. The irradiance sensor data source is transposed to plane-of-array, and the temperature sensor data source is converted into estimated cell temperature.\n",
-    "\n",
-    "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n",
-    "\n",
-    "<b>The steps of this section may change depending on your data source or the system being considered. Note that nothing in this first section utlizes the `rdtools` library.</b> Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are avaialble in [pvlib](https://github.com/pvlib/pvlib-python)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "file_name = '84-Site_12-BP-Solar.csv'\n",
-    "\n",
-    "df = pd.read_csv(file_name)\n",
-    "try:\n",
-    "    df.columns = [col.decode('utf-8') for col in df.columns]\n",
-    "except AttributeError:\n",
-    "    pass  # Python 3 strings are already unicode literals\n",
-    "df = df.rename(columns = {\n",
-    "    u'12 BP Solar - Active Power (kW)':'power',\n",
-    "    u'12 BP Solar - Wind Speed (m/s)': 'wind_speed',\n",
-    "    u'12 BP Solar - Weather Temperature Celsius (\\xb0C)': 'Tamb',\n",
-    "    u'12 BP Solar - Global Horizontal Radiation (W/m\\xb2)': 'ghi',\n",
-    "    u'12 BP Solar - Diffuse Horizontal Radiation (W/m\\xb2)': 'dhi'\n",
-    "})\n",
-    "\n",
-    "# Specify the Metadata\n",
-    "meta = {\"latitude\": -23.762028,\n",
-    "        \"longitude\": 133.874886,\n",
-    "        \"timezone\": 'Australia/North',\n",
-    "        \"gamma_pdc\": -0.005,\n",
-    "        \"azimuth\": 0,\n",
-    "        \"tilt\": 20,\n",
-    "        \"power_dc_rated\": 5100.0,\n",
-    "        \"temp_model_params\": pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer']}\n",
-    "\n",
-    "df.index = pd.to_datetime(df.Timestamp)\n",
-    "# TZ is required for irradiance transposition\n",
-    "df.index = df.index.tz_localize(meta['timezone'], ambiguous = 'infer') \n",
-    "\n",
-    "# Explicitly trim the dates so that runs of this example notebook \n",
-    "# are comparable when the sourec dataset has been downloaded at different times\n",
-    "df = df['2008-11-11':'2017-05-15']\n",
-    "\n",
-    "# Chage power from kilowatts to watts\n",
-    "df['power'] = df.power * 1000.0\n",
-    "\n",
-    "# There is some missing data, but we can infer the frequency from the first several data points\n",
-    "freq = pd.infer_freq(df.index[:10])\n",
-    "\n",
-    "# Then set the frequency of the dataframe.\n",
-    "# It is reccomended not to up- or downsample at this step\n",
-    "# but rather to use interpolate to regularize the time series\n",
-    "# to it's dominant or underlying frequency. Interpolate is not\n",
-    "# generally recomended for downsampleing in this applicaiton.\n",
-    "df = rdtools.interpolate(df, freq)\n",
-    "\n",
-    "# Calculate energy yield in Wh\n",
-    "df['energy'] = rdtools.energy_from_power(df.power)\n",
-    "\n",
-    "# Calculate POA irradiance from DHI, GHI inputs\n",
-    "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n",
-    "sun = loc.get_solarposition(df.index)\n",
-    "\n",
-    "# calculate the POA irradiance\n",
-    "sky = pvlib.irradiance.isotropic(meta['tilt'], df.dhi)\n",
-    "df['dni'] = (df.ghi - df.dhi)/np.cos(np.deg2rad(sun.zenith))\n",
-    "beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun.zenith, sun.azimuth, df.dni)\n",
-    "df['poa'] = beam + sky\n",
-    "\n",
-    "# Calculate cell temperature\n",
-    "df['Tcell'] = pvlib.temperature.sapm_cell(df.poa, df.Tamb, df.wind_speed, **meta['temp_model_params'])\n",
-    "\n",
-    "# plot the AC power time series\n",
-    "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.plot(df.index, df.power, 'o', alpha = 0.01)\n",
-    "ax.set_ylim(0,7000)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('AC Power (W)');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 1: Normalize\n",
-    "\n",
-    "Data normalization is achieved with `rdtools.normalize_with_pvwatts()`. We provide a time sereis of energy, along with keywords used to run a pvwatts model of the system. More information available in the docstring."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Specify the keywords for the pvwatts model\n",
-    "pvwatts_kws = {\"poa_global\" : df.poa,\n",
-    "              \"power_dc_rated\" : meta['power_dc_rated'],\n",
-    "              \"temperature_cell\" : df.Tcell,\n",
-    "              \"poa_global_ref\" : 1000,\n",
-    "              \"temperature_cell_ref\": 25,\n",
-    "              \"gamma_pdc\" : meta['gamma_pdc']}\n",
-    "\n",
-    "# Calculate the normaliztion, the function also returns the relevant insolation for\n",
-    "# each point in the normalized PV energy timeseries\n",
-    "normalized, insolation = rdtools.normalize_with_pvwatts(df.energy, pvwatts_kws)\n",
-    "\n",
-    "df['normalized'] = normalized\n",
-    "df['insolation'] = insolation\n",
-    "\n",
-    "# Plot the normalized power time series\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(normalized.index, normalized, 'o', alpha = 0.05)\n",
-    "ax.set_ylim(0,2)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 2: Filter\n",
-    "\n",
-    "Data filtering is used to exclude data points that represent invalid data, create bias in the analysis, or introduce significant noise.\n",
-    "\n",
-    "It can also be useful to remove outages and outliers. Sometimes outages appear as low but non-zero yield. Automatic functions for this are not yet included in `rdtools`. Such filters should be implimented by the analyst if needed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate a collection of boolean masks that can be used\n",
-    "# to filter the time series\n",
-    "normalized_mask = rdtools.normalized_filter(df['normalized'])\n",
-    "poa_mask = rdtools.poa_filter(df['poa'])\n",
-    "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n",
-    "clip_mask = rdtools.clip_filter(df['power'])\n",
-    "\n",
-    "# filter the time series and keep only the columns needed for the\n",
-    "# remaining steps\n",
-    "filtered = df[normalized_mask & poa_mask & tcell_mask & clip_mask]\n",
-    "filtered = filtered[['insolation', 'normalized']]\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(filtered.index, filtered.normalized, 'o', alpha = 0.05)\n",
-    "ax.set_ylim(0,2)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3: Aggregate\n",
-    "\n",
-    "Data is aggregated with an irradiance weighted average. This can be useful, for example with daily aggregation, to reduce the impact of high-error data points in the morning and evening."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation, frequency = 'D')\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(daily.index, daily, 'o', alpha = 0.1)\n",
-    "ax.set_ylim(0,2)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 4: Degradation calculation\n",
-    "\n",
-    "Data is then analyzed to estimate the degradation rate representing the PV system behavior. The results are visualized and statistics are reported, including the 68.2% confidence interval, and the P95 exceedence value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate the degradation rate using the YoY method\n",
-    "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is approrpriate if you would like to \n",
-    "# report a confidence interval analogous to the standard deviation of a normal\n",
-    "# distribution. The size of the confidence interval is adjustable by setting the\n",
-    "# confidence_level variable.\n",
-    "\n",
-    "# Visualize the results\n",
-    "\n",
-    "degradation_fig = rdtools.degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, daily,\n",
-    "                                                    summary_title='Sensor-based degradation results',\n",
-    "                                                    scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                                    hist_xmin=-30, hist_xmax=45)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In addition to the confidence interval, the year-on-year method yields an exceedence value (e.g. P95), the degradation rate that was exceeded (slower degradation) with a given probability level. The probability level is set via the `exceedence_prob` keyword in `degradation_year_on_year`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The P95 exceedance level is -0.59%/yr\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('The P95 exceedance level is %.2f%%/yr' % yoy_info['exceedance_level'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 5: Soiling calculations  \n",
-    "\n",
-    "This section illustrates how the aggreagated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.<sup>1</sup>\n",
-    "\n",
-    "<sup>1</sup>M. G. Deceglie, L. Micheli and M. Muller, \"Quantifying Soiling Loss Directly From PV Yield,\" IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 547-551, March 2018. doi: 10.1109/JPHOTOV.2017.2784682"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
-      "  warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Calculate the daily insolation, required for the SRR calculation\n",
-    "daily_insolation = filtered['insolation'].resample('D').sum()\n",
-    "\n",
-    "# Perform the SRR calculation\n",
-    "from rdtools.soiling import soiling_srr\n",
-    "cl = 68.2\n",
-    "sr, sr_ci, soiling_info = soiling_srr(daily, daily_insolation, confidence_level=cl)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The P50 insolation-weighted soiling ratio is 0.975\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('The P50 insolation-weighted soiling ratio is %0.3f'%sr)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The 68.2 confidence interval for the insolation-weighted soiling ratio is 0.972–0.978\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('The %0.1f confidence interval for the insolation-weighted'\n",
-    "      ' soiling ratio is %0.3f–%0.3f'%(cl, sr_ci[0], sr_ci[1]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot Monte Carlo realizations of soiling profiles\n",
-    "fig = rdtools.plotting.soiling_monte_carlo_plot(soiling_info, daily, profiles=200);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot the slopes for \"valid\" soiling intervals identified,\n",
-    "# assuming perfect cleaning events\n",
-    "fig = rdtools.plotting.soiling_interval_plot(soiling_info, daily);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>start</th>\n",
-       "      <th>end</th>\n",
-       "      <th>soiling_rate</th>\n",
-       "      <th>soiling_rate_low</th>\n",
-       "      <th>soiling_rate_high</th>\n",
-       "      <th>inferred_start_loss</th>\n",
-       "      <th>inferred_end_loss</th>\n",
-       "      <th>length</th>\n",
-       "      <th>valid</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2008-11-13 00:00:00+09:30</td>\n",
-       "      <td>2009-01-31 00:00:00+09:30</td>\n",
-       "      <td>-0.000347</td>\n",
-       "      <td>-0.000637</td>\n",
-       "      <td>-0.000037</td>\n",
-       "      <td>1.003580</td>\n",
-       "      <td>0.976134</td>\n",
-       "      <td>79</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2009-02-01 00:00:00+09:30</td>\n",
-       "      <td>2009-03-22 00:00:00+09:30</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.970406</td>\n",
-       "      <td>1.007741</td>\n",
-       "      <td>49</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2009-03-23 00:00:00+09:30</td>\n",
-       "      <td>2009-03-23 00:00:00+09:30</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.991140</td>\n",
-       "      <td>0.991140</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2009-03-24 00:00:00+09:30</td>\n",
-       "      <td>2009-04-08 00:00:00+09:30</td>\n",
-       "      <td>-0.001981</td>\n",
-       "      <td>-0.003316</td>\n",
-       "      <td>-0.000614</td>\n",
-       "      <td>1.045116</td>\n",
-       "      <td>1.015397</td>\n",
-       "      <td>15</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2009-04-09 00:00:00+09:30</td>\n",
-       "      <td>2009-04-22 00:00:00+09:30</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.008723</td>\n",
-       "      <td>1.037279</td>\n",
-       "      <td>13</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                      start                       end  soiling_rate  \\\n",
-       "0 2008-11-13 00:00:00+09:30 2009-01-31 00:00:00+09:30     -0.000347   \n",
-       "1 2009-02-01 00:00:00+09:30 2009-03-22 00:00:00+09:30      0.000000   \n",
-       "2 2009-03-23 00:00:00+09:30 2009-03-23 00:00:00+09:30      0.000000   \n",
-       "3 2009-03-24 00:00:00+09:30 2009-04-08 00:00:00+09:30     -0.001981   \n",
-       "4 2009-04-09 00:00:00+09:30 2009-04-22 00:00:00+09:30      0.000000   \n",
-       "\n",
-       "   soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
-       "0         -0.000637          -0.000037             1.003580   \n",
-       "1          0.000000           0.000000             0.970406   \n",
-       "2          0.000000           0.000000             0.991140   \n",
-       "3         -0.003316          -0.000614             1.045116   \n",
-       "4          0.000000           0.000000             1.008723   \n",
-       "\n",
-       "   inferred_end_loss  length  valid  \n",
-       "0           0.976134      79   True  \n",
-       "1           1.007741      49  False  \n",
-       "2           0.991140       0  False  \n",
-       "3           1.015397      15   True  \n",
-       "4           1.037279      13  False  "
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# View the first several rows of the soiling interval summary table\n",
-    "soiling_summary = soiling_info['soiling_interval_summary']\n",
-    "soiling_summary.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# View a histogram of the valid soiling rates found for the data set\n",
-    "fig = rdtools.plotting.soiling_rate_histogram(soiling_info, bins=15)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "heading_collapsed": true
-   },
-   "source": [
-    "## Clear sky workflow\n",
-    "The clear sky workflow is useful in that it avoids problems due to drift or recalibration of ground-based sensors. We use `pvlib` to model the clear sky irradiance. This is renormalized to align it with ground-based measurements. Finally we use `rdtools.get_clearsky_tamb()` to model the ambient temperature on clear sky days. This modeled ambient temperature is used to model cell temperature with `pvlib`. If high quality amabient temperature data is available, that can be used instead of the modeled ambient; we proceed with the modeled ambient temperature here for illustrative purposes.\n",
-    "\n",
-    "In this example, note that we have omitted wind data in the cell temperature calculations for illustrative purposes. Wind data can also be included when the data source is trusted for improved results\n",
-    "\n",
-    "**Note that the claculations below rely on some objects from the steps above**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 0: Preliminary Calculations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate the clear sky POA irradiance\n",
-    "# Note: an earlier version of this notebook modeled clear-sky POA irradiance as\n",
-    "# instantaneous values rather than interval averages.  See https://github.com/NREL/rdtools/issues/243\n",
-    "times = pd.date_range(df.index.min(), df.index.max(), freq='1min')\n",
-    "sun1min = loc.get_solarposition(times)\n",
-    "clearsky = loc.get_clearsky(times, solar_position=sun1min)\n",
-    "# Note: An earlier version of this notebook used pvlib<0.6. In pvlib 0.6, the default \n",
-    "# behavior of get_clearsky() changed, which affects the results of this example notebook.\n",
-    "# More details: https://github.com/pvlib/pvlib-python/issues/435\n",
-    "cs_sky = pvlib.irradiance.isotropic(meta['tilt'], clearsky.dhi)\n",
-    "cs_beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun1min.zenith, sun1min.azimuth, clearsky.dni)\n",
-    "cs_total = cs_beam + cs_sky\n",
-    "# aggregate 1-minute model to the resolution of the measured data:\n",
-    "df['clearsky_poa'] = cs_total.resample(freq, label='right').mean()\n",
-    "\n",
-    "# Renormalize the clear sky POA irradiance\n",
-    "df['clearsky_poa'] = rdtools.irradiance_rescale(df.poa, df.clearsky_poa, method='iterative')\n",
-    "\n",
-    "# Calculate the clearsky temperature\n",
-    "df['clearsky_Tamb'] = rdtools.get_clearsky_tamb(df.index, meta['latitude'], meta['longitude'])\n",
-    "df['clearsky_Tcell'] = pvlib.temperature.sapm_cell(df.clearsky_poa, df.clearsky_Tamb, 0, **meta['temp_model_params'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 1: Normalize\n",
-    "Normalize as in step 1 above, but this time using clearsky modeled irradiance and cell temperature"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clearsky_pvwatts_kws = {\"poa_global\" : df.clearsky_poa,\n",
-    "              \"power_dc_rated\" : meta['power_dc_rated'],\n",
-    "              \"temperature_cell\" :df.clearsky_Tcell,\n",
-    "              \"poa_global_ref\" : 1000,\n",
-    "              \"temperature_cell_ref\": 25,\n",
-    "              \"gamma_pdc\" : meta['gamma_pdc']}\n",
-    "\n",
-    "clearsky_normalized, clearsky_insolation = rdtools.normalize_with_pvwatts(df.energy, clearsky_pvwatts_kws)\n",
-    "\n",
-    "df['clearsky_normalized'] = clearsky_normalized\n",
-    "df['clearsky_insolation'] = clearsky_insolation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 2: Filter\n",
-    "Filter as in step 2 above, but with the addition of a clear sky index (csi) filter so we consider only points well modeled by the clear sky irradiance model."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Perform clearsky filter\n",
-    "cs_normalized_mask = rdtools.normalized_filter(df['clearsky_normalized'])\n",
-    "cs_poa_mask = rdtools.poa_filter(df['clearsky_poa'])\n",
-    "cs_tcell_mask = rdtools.tcell_filter(df['clearsky_Tcell'])\n",
-    "\n",
-    "csi_mask = rdtools.csi_filter(df.insolation, df.clearsky_insolation)\n",
-    "\n",
-    "\n",
-    "clearsky_filtered = df[cs_normalized_mask & cs_poa_mask & cs_tcell_mask & clip_mask & csi_mask]\n",
-    "clearsky_filtered = clearsky_filtered[['clearsky_insolation', 'clearsky_normalized']]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 3: Aggregate\n",
-    "Aggregate the clear sky version of of the filtered data "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clearsky_daily = rdtools.aggregation_insol(clearsky_filtered.clearsky_normalized, clearsky_filtered.clearsky_insolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 4: Degradation Calculation\n",
-    "Estimate the degradation rate and compare to the results obtained with sensors. In this case, we see that irradiance sensor drift may have biased the sensor-based results, a problem that is corrected by the clear sky approach."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The P95 exceedance level with the clear sky analysis is -0.22%/yr\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate the degradation rate using the YoY method\n",
-    "cs_yoy_rd, cs_yoy_ci, cs_yoy_info = rdtools.degradation_year_on_year(clearsky_daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is approrpriate if you would like to \n",
-    "# report a confidence interval analogous to the standard deviation of a normal\n",
-    "# distribution. The size of the confidence interval is adjustable by setting the\n",
-    "# confidence_level variable.\n",
-    "\n",
-    "# Visualize the results\n",
-    "clearsky_fig = rdtools.degradation_summary_plots(cs_yoy_rd, cs_yoy_ci, cs_yoy_info, clearsky_daily,\n",
-    "                                                    summary_title='Clear-sky-based degradation results',\n",
-    "                                                    scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                                    hist_xmin=-30, hist_xmax=45, plot_color='orangered');\n",
-    "\n",
-    "print('The P95 exceedance level with the clear sky analysis is %.2f%%/yr' % cs_yoy_info['exceedance_level'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Compare to previous sensor restuls\n",
-    "degradation_fig"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/degradation_and_soiling_example_pvdaq_4.ipynb b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
index f7325ce1..a654e5b7 100644
--- a/docs/degradation_and_soiling_example_pvdaq_4.ipynb
+++ b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
@@ -89,7 +89,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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1pH9V/PSff/75/PjHP+a1116rpTwhBYp++kCqgcb2+m5Ky51Ya/dKBpiR9ikOBIamugELlHzFh2I8A8VYB/zhBqUpSc+UaqBCjv+aFAcwTahzMXCAmeggXK3zMtGBdrjjTNaEqX8X61pT9AAbWr9JYuF7i/U+RSUnkNteSvHvfvc7fvOb3yCEoK2tjSOPPJKjjz6ao48+msMPP7ysjXzI+FEPF2iaRAYepu2jCWiMRwCBF6iBZSKt3SsJkA63T1PcQNOC0gMTMwSurxHVlZUwEfNdSokvQdfkqIPWcO1YRgqaTySgPtI586VA11Cyj/3QZXieR9aGlli5y2Ss7WcGum7G+9sHHmckl9BE3EW1CtoPlEkXsuSSGlWmicaPhEa0cAmL59/QVDt1ZIDpSnzfx/Ulhj62Z6de3KFDUbFSSafTPPfcczz55JOsWLGCp556ij/96U8IIYhGoxxyyCElJXPUUUcxY8aMWsq91aJMZvACiekE2G6ArgkSEiKFmWxfyuz4qGSAGWqf4mzS8QKEIdTsHEHMEKWBa7wUXQBRfWIDy0iDb/+Ba8ynTwb9BqPyEalosU3kmhQHiZwjAUHehYah156riIGD9Hh7onl+38AaMfQRB/+xKoaygbGKqeD9j9vf+i26ZqMVjnoTXZun/28SQiucE4Hv+2TtACF9LE/FT8dqpdRzGvuEWt+//vrrJSWzYsUKVq9ejRBqgNlrr7149dVXqynrtGEigfri7EgGPsmsRXfWY0aDTntLA/FKn4YaYVo2HSmXiPCJRqM0RLWSiy4R1YkY+rgtFdN2sT2JoSmrbLxB1f61MgOPUUyCKA6QY8Hp5y8pZrYNNVscKfV6pJllceDL5vKkbEF7ApoaGyr+/EAGzrJHSmAYCdN2S59LxCIjZm2N1Yrpfz36WwITDVb3d6H2D4QbulY2WRrtPI73nA0lR//vtdwA3/fJ2T6JiFCZX4ZO1NAqvi8ruR+qbc1MSuv7vffem0suuYRf/vKXvPHGG9x///0cccQRBEHA66+/PpFDb5MMHBgRGvGIhhsI5XMNAmxXBcWllOP2Q4/3c8mcQ286x7ruHIHnYFo2XWkbx3GAwsxsnP3K/KBvtjaeB8D1fEzHx3Z9YOjYwUSWGhZSHV9Iv0zmgXGg4WJDI8U0itdSSommGzTFDdDKJxBjjTn1DxIDpZic7Y3tugwVQxkoSyX301C/v/82gRwyljQeyuJPMlBJJL6PQI4tJiS0IRNPKn1++svR/7caIsD2JHFDKauIoWPo2oQH/oFyTUl8kQm0aUmn0zz11FMlK+XZZ5/FNE3mzp3LmWeeyVFHHVVNObcJ+gLzoAmB51h09HrMbRZ4frQ0MBSzm4pKSAowxmADj9d0tm2brqRDwvCx/SY8JygE6DXamiSW45GzfSK6oDEeGZM1ENEFXqBmlFKOHlMZOAvzgsKsNJBEDHUczy+fUfd3Z8Qq/9mASpXWNXADiAx4LwgCHDmy+2sk905RoQokruuStGBmgwDGH6cs69EVBLiui+VBS1xjLI/9QNeeH8iShdEQ1UDXyoLQujb0fVV0RQFI2adIBRDpd4xAgqhC0aFXsE5sNyhddzmMW224GX3xmulC4gda6f1Kn5/+LkeNvu/wUC44KdV9KaRPzpY0x4Q6gRUwlAwDt01VUW7Fd9fatWtZsWJFyd31j3/8AyEE+++/P4sXL+biiy9m8eLF7LjjjrWUd6um2O+rWJHek/PI5102+TBrhkQIVWEf0dUD449zBjKem01KiSc1NDwypodjWyRiEfXQegGpnI0vBZbjIbSxmfKg3B+GLtGGGZQGMvABihkC04WIptwdxYyb4n6GLiYU+9CFxPWhf7mBrgmEBMeV+DIg0JRrbKhzW4yV9b9kpdqfIMCXAhn49OZcsg7ENI2mxvL6BTGGa9Z/QLNdH9NV3+XLsY0wvhRoheC2ritF4HhBYfKjjjUwCD2UjMotrv5fmjgVXF6apuF7Pn6g7v2gIONYJj39FYMX9F17KSW+H6jEPKkzVCrFcEpCWWPgBT5C63Ob9k8BllKryPIpXo9ixpfv+yoerUPGUttNFyIDZyzDHW+ISUrxOiirT72eirqXipXKzjvvTCQS4QMf+ABnn302N998M4sWLaKxsbGW8m1TqMGj0ANIgJnLsKY7z/bNEt9rJRqNEo8ok1wFxuW4ZiLjCdoGEppiGr4UGAIytqS9JYJXmF13pW0imsTyoL2pbzY3JrkKD0NUNXsBhp9FDlSMmqYRj0hypovl+cQNNQB4ASDVoKzcX+MLuqr6F+ifBFQ8j0EQYLrQEAFp6IOUB6ii0XxhH11TI0fxHPmBxAvU4Of7PpYr8ApetokG2kvyFyyFkoVQgQXQl/IqiRnqmqqedFqZ7KLf9Rr5gEEpbqZrQmXNiYExmvIBU8rKYiBl7qXC5zQBFCYSMV25/mKoeqr+cZzhJllFpWJZDh4GTdG+ZAU1GZBoBVdTpZ6CoqLLO0Epc1K5ViEar/wCD5ykFJ8TZIDtg6FJ0LQpCeJXrFSKAZrnn3+eSCRCJBIhFotx6KGHEouN1ZkQMhzFbBuNgGTeJ+vYdJmQsXxmx8DxJbbrlz3YgZxgcKzASCmUmgCEhiY9ekyLhqyB0xYjpmuksp76vCaIGnrpoR3rdxf9zMViseIDWHQ59H9A+g+y/YOxOculJx/QFIVZrQ0EQUDGVfLnHaVU8kAiPrpM/YPSyk9d/oQWz5fjejieRlQb3s1lumqA6j8bLe6rgrYBMvDxPZfA1yFQsSnVnmfkVN7RiBoaDTGjlGzgeEFpYjISgVQpzhkzgJgqbJWyr2WQlOpe1ERfd4ViN4ChrFRlJcmCYlEdIwL6xVMEaIU4UHHAlP3u8ZEGyP6zdElfJ+ViUDzvQyImcfxidmXf5EII0eeeop/Clep+cX2JERG4Qfn3+aVY2NAyDXXNNKGSH9J5V8VUNFEodBXDuudG+r1FRVgcCyxXFVe6QFNc3TuTTcWPfm9vL6+++irf/e53aWtr46c//SnHHHMMra2tHHnkkXz1q1/lvvvuY9OmTRMSKJvNcs0113DSSSfR3t6OEII77rhjyH1XrlzJSSedRFNTE+3t7XzqU5+iq6tr0H5BEPCDH/yAnXfemXg8zv77789vf/vbCR2zVhRvDtPx8VyHjGXiuJbKwvECXF89lMVFkiZaMFbsPVSs3B9YzV02sCKwPY+k7WDaDhnTVe6anEk6Z9HTk6QraYLvILSxZcsoiyIg76giwmIguPjbRrLGig9X0d+ftz0sxytTNrYnCTyHnqxD4DmDzsFw1c59ca7B57oYx8k7QakH2sAAeZH+hXClzxfOefHPdCVZO8DzIe8W6kLocwX1/3c0+t8b/RMUxnIcTUDWVvdc3lEp1bbjkrF8HNfD9WXpuH6gai4cT52LodBFoc9VEJTib67nl1yAllu4D22LTUkLx7ZGLfosJq94flAaaIv3cDH93Qsopb0LqZI5lDrrd5whzkvOVIko+A66JmiMKiGKhYoRXYwYYB/qmEII8pZDb84lk7fxfZ/ejEl3Kk/OVK8reab7JxwUr7Hnq2enODZMdoC+yJgC9fvssw/77LMPl1xyCQCdnZ08+eSTpYD9Lbfcgud57LTTThx11FH86le/GrNA3d3dfPvb32aHHXbggAMO4PHHHx9yv/Xr1/P+97+f1tZWrrvuOrLZLD/84Q959dVXefbZZ8uKMb/xjW9www03cPHFF3PYYYexbNkyzjvvPIQQnHPOOeM6Zi1QgcvCzEcGOL6vfNTFGa3nYnvKNdYU0xCGga7BGCeuZQSy3DoSml4KlhcHUl1TQXRVOe+hC7Bdl550XmV/uS6tDQksT5BAkrElC8dgdxd/t+srN4uq0leDWESToxae9Y8vRXT1sOkFF4smPVKWYHaj6LNUynVK6eFzfTVbLiY+FGNcALbnkXMFTVFVlFj0i7u+JKJJHG/keotYREdo5UV3pq3iJxE8dCGwfR/XcXB9sC2f3qxNW0JDj8XGHAfrX19ie+qzTiEmpInRj1MclKJaQMaXSE2iC0mqoGQcV5KIBDiBhhaRCE1Xk4+Rjis0YhEKij9A1yQOGhGjMEkCHE/SnVZJBYEvWJgY2e1XjJ8ohS6RgY8bqOvuBBq+a2M6Ok0RNQDbboDtC3QhMPqNfkOd356sQ28egljAru1G6T2lsMAPfNAEcQOGmp8PFeiXUpLOO1hWQFwEZC2PzqSFlBrNcV2lMBuDLbORLNVAqgmfEMUC1aCUDDEVTKjwYbvttuPMM8/kzDPPJJVK8cgjj/CjH/2Ip59+mjVr1oxLqcybN4+Ojg7mzp3L888/z2GHHTbkftdddx25XI4XXniBHXbYAYDDDz+cD33oQ9xxxx0lxbdhwwZuuukmvvCFL3DLLbcA8NnPfpZjjz2Wr3/965x99tmlHPRKj1krPD/AdHyKz2bRdN+SdTFtF9ONEokYJWslYiizeTxV0iXrI/DJWj5GIchcHJCLD6qagauUZoRGwjCwDImmCRxXkjUdXM9FlxIhPPJAg26MqAgGPiADZ1TqAe8rAhWBHDHDTT1ksnQOgyAgCNT/M5aP6QqyI/jj+g8o/UXpi3Gp7C9NgOVBo1SDhecHWK7EcT28QOD7lDoeDLRUBvrAfV/1UPMC0CMaEV1Zp3nLQzMiWB5kLQ/XE8yPVFa30/+8Om5fDCeiQdoLiGoBhh4p1ZKNRPGa6EaE5oTEEIUZv+aTygfENY+0ZxCL6OQcQWukYDlLiRjCSFUBcx+3YMlEdci7El345G1VEKgmNEohpE1oMtQ9OJLLT0gfywnQCNBEBMdVSsX3A6J6wIaUT2MMco5O3PNJ5hw0TUNIjWjEKM32+wfSi99J4GFZ0BoJBv+WAEzTwRcSPwqtTYOH0uI1d72AQPplk7VibMt0fHzPw5c6yABDqOdt4KRkuGQCoGzyU7RgJOW/ZTKr7sftin/vvff4zW9+w2WXXcYBBxzAzJkz+fjHP87TTz/NwoULyyyAsRCLxZg7d+6o+/3+97/nIx/5SGnwB/jgBz/IHnvswb333lvatmzZMlzX5bLLLittE0Jw6aWXsn79ep5++ukxH7NWFOsIXM9XSkMHNI1oRCdAI1JYtEtDKZuM6WI53rDuhpG+x3JUU8hUziZve+Rtr8w60QbcpLZts747i+nkQYOYrgYC17HRdEksqiO1GL7r05F0sW172O/vH+T1A1kWwC26jyIFS6FY+zLQNTWQouxZ0yGZtknmnJJLJmO62I5LQ1QjEdVpjOllnysOxMVWGcWMmWKmk+cHxHQlhyHUa42AtOnh+z6mJ4hFdGxf0L+X02hyFmuOEhFB3vZI5xx6Mhk2Z3OY2Qy9WVUDVJRhJNdSf1mLa8ooC06ozC2tL+26kjqi4nm3zRxrN2dIprNKEeYsOnstulN5XM8nY/lEhF+aAA3VDLMom+3Jkjux2CvOCwpuRETp2ifiMea0RDEi0VHdOJ7UMHQNT2qlGXtxwE6ZPgndJ5n3S0pRE8piQ/a52/rTvwbHMAzicYNYNFJ2XxR7tGXyNptTFpn80Pd6Kd5RcO05rkfOcjEtG9txESjL3DAMGhMG8ahBgLoHS9bXAPfvwAlkEBTcXYGympFBWQ0b1HGdyssvv8yTTz5ZSinesGGDGuA0jX322YfPfe5zpTYtCxcurKXMbNiwgc2bN3PooYcOeu/www/nT3/6U+n1iy++SGNjI3vttdeg/YrvH3300WM6Zq3QhHKPmI5yNTTGG5jT4NMa9Ynqyi/sC50gECA0LDdAK7h5ohWmIhYp5u6brsRxffKFDBlhiFLmVNTQSms99OZcejMuPVkXoQf0YNAck0hNR3ouWdPF811kNKYeaEsyJzZ076iBA5oXKLdVzg3QpHKPxKIRdBng+UJl2QiBzvAB2+LAlTUdTCegIdIXGC0OCFLoJKKiVMtWjLkIJD5Dzw6DQA3QutBpiAaq7b/no+s6hghI29Bo+HhAwui/YFn5jK24rUje9rBc1UPN8wN6Mya96Rzre3qINAUYvqB9jiglAmiaplwciEF1MsXf4Xketi+I6coll3ehOSbIWgVrVAQ0xPuswxHdSgUrbF2vSzbnY5mS9raAt9/bzMoelxl6nr133ZWWBoFPlJguMD0NQxeD3LH9Jw+eX/w3UBYCxTTwgmtQaDTGdGw/IGYU67KGFzSiSWxXEhE+tqvu4UAKorquJj2BIKr52K5At52S61gWlKYuhMroKiRdIINSsWMiFqElgIb44NTcPpfT8AH2ovUjhEAGHhlXWWiWI8nbHj2pQCnOwCVvBpi2W1AKQhU4oyZXEUMfMvtPykIxq1QTnKihlQo8+1O3dSoHHXQQAPF4nMMOO4xPfepTHH300SxevJjW1taaCTgUHR0dgHKVDWTevHn09PRg2zaxWIyOjg622267QSe6+NmNGzeO+ZgDsW27bGY+3kXJhFCL9BiaT87yMLSARMSgJREhHjVImx5SqBl9VNNwCn3B9PjYDE5dEzRENbwA2hIaa/Muhga9WY9oXEeLQUNcxY+KA2E2k+ad9Zt5Y103WjO8rz1O1m5RyQOeRdx1ydk2jfEYTmOcmHCB+CCzPZDlmTDFjJ2+gU5ge5JopDzVtPhQDxuwLfiQPc8HScnayVsOmaykLaoT0QWmo9Fo9H1GE6j6E32I4j0ZkLc9NbDpFJRLoa2GUL71IJBk3YBYoqCgAllWgF0crAQSXdPwfRVY9j2XZNZSFpn02LwlS0cyzeZem7jI0UqUmCHQdb2koAb6/PtnyBVn4FpRLtlnqUQMHUPzCQqZZlpUH/I8+r5fshjzlkPK9MlnM2RyMLNRIwgCOlMWnVmTXi/PwrkWQtNpijpYrkFcD5CaYKi10TQBviikfdsqsOwGgpihIzSdhC7VLF1I8l7RlVZB9bvQSEQFpgOGJvCkRMMna8tSUkTelujCBT2KLiSRiCCilbfWsb1i4W1fzCkR1Yl7slCb5ZKIKKuimNSRiOpE0GmKa0OmaRevj64JhKbTGFPKIp9LsynnYwQBcbOJjT1ZAqHTGBfMm9lMQGEyh4rDDDdfDKSKmeUdVaWfsyVxPSi5a+OGUd91Kt///vc5+uijOfTQQ4lUWqFTI0zTBBhygI/H46V9YrFY6d+R9hvrMQdy/fXXc+21147np5QhpcS01WDTmzFZ15Ml43hIz6etx2Rms4YWayKh+3R7Bpr0sDBoLbgzhgvkDfU9xbRLQZTmuEfOkeQtC1tGiIrBGUc9uYDVnZt5bT3MaQdhW7TGLGQ8QpPw6coItpg+c9tsFvqzsP0+JdC/krr/awquNd9Xaa4aAX6gOh4Xs6mKg7GuCbR+D8jA3ytQbkPXC9A0nYih4fiQtgKCQGB6giYtotIsC4NNMcDfPzNL0jdwO56Kcbm+RIsry82XopQMUCzYTOU88oGLrTm06VG0QqpoEKhsNkMrpq2q7KnevE9HV4qOHof2hEHcaKA3n2VV5ybWd8KcaJZd4gl6MhYzmyIgI+iajkZ5q/iilVUcuBIRge0LDE2Qs1QSgCECGuORUgqs7fokYpKh6lItt88Nmbc9evMBkWiM9kiEeCHzKaFbpMw8uzS4ZPM2UkQw0Jg3uwFX6jQYA/OqCudCasSEsn7692dzfUksCBCawCgobtOy6c2D3gAQLw3Y/XtxaZpydxUVofRdTEcWJjmqFiUIAiwzTzId4Nm+GrcCtchcewKieqTQeaEQh4NCt4qC81IziEd8UpZAGB5+oNOq9y0/Yegahm4QjWh9KdH9nj/bccm7ENcD4oaGozLvyTo+luuTFD7ztICc7YLmkcvHsV2fuKYrS04TJRtoKIu/6BKOG2BJgwZN4vmQtZzCBEgSi0YmfTXJipXK17/+9VrKMSYSCdW+dSi/vWVZZfskEomK96v0mANZsmQJX/nKV0qv0+n0uFyARb/yq6+/yZOdWSJ5l9Y5rUjPJm15RDTJrHgDGcunrUHQa8HMJuUzj/Zby360xCvXlyTTWbrzMDPm4ng6Qgalm69ozmuF2brngy5tXlsN6wC/R7VmT5ugRVxmNYGZh1QKLNtnl9lpLHsWMLiSWs2cCn7yQGLoopSBZrkBhhEAuvI/O8qN06hrWK7qJFBM4ewflxEFi8d2XNKmTW/eJaE34DkWhlDV1I0RnZYYbM766EZhxq4Vq98LXZYHzOr6K7ZijEGdG61UQ+IHUvVnQ5ZSvouz4GJlv2ppoo6fs316sg4bkyam5ZHSJDtEwHY8elKwKQeNOVinmyS6MjhWjNltjSquVYhDlKwSApygr0t0cTATqAp4Q1OWiusr2bOWhxCCJj9QzT8H3icywPUChK6ufdwAV5PYto0jNSzLIukIdCQZB/JWjkDoRBE0NTUR03y1AqiulS2NW3R5Bv2Cxv07D6hBnVKabs72cTyB6ZTfJ8WYjC0hoisL0C5k0AkZkDNturM+InBoamwgqqt+dTkPIlqAYRiksw4GPtLzaNNi6EAkoiwNlXrcF8PQpEcq7xGVFmlTY04zBDJSUohZJyAS8XE8iEX73eOF81qsTcoH0JzQwQfXc7BdDwhoNJQbu9EI2OIKDDxc11XZadIlGtPL7vNA9mUmFmNTKrusGA9UbvMthQ4KiYi69rF+7t5KJ54ToSKl8tvf/pZzzjlnXJ1j7777bs4999xxCTccRRdV0WXVn46ODtrb20sWxbx583jssccGmafFz86fP3/MxxxILBarSgGooQG+wx2P9bIJcIDzZntEpIeUPr5XqClxHTKWYFYCpNCI6X1+/EgFkxKB5K/P/YPX8rBPg8+hB+yP60oaYxGiMYPmhF4KOOcsNb3K2h4ZwAYyQG8S3jGhBYgvgEhMuaKlADfwy/zMZdlVZXUvhZoCx6Yn6+E5Fg0NDViu6lXVlQ1oMjwcXw0QvmEQR81Si7Pd4vEc12NLxla1M5ZFNOnx6poYrQ3Q1tZIPG6QsXy60zZmVC3XEIvoWK4KqsejBpoorzkoLpHsBaqFSspSchfb85uuRBfQ3BAj5+kYvsrgShSsAF1IPKn8/oFUPa0iuqoil66D5QfM1g16UxmefmEzL2VUREd6KsusM9mLHcTZLd+EruvKMokoC0yguhckIn39slSdkcD1A3R8MjbMSAhsV1keOUslK7ieTyyiD/q9ruvSmwtoT0A8atAQBGxxfTb0mjTHNCKGYFNXL5t7wBMws8lkhojQGksoxeBLNEMSKaSFRwodH7xC3UTe9gqDrupfVyzUc7xApcsHOrMaNWIRnXgAQiiro+j+7N8qx3Y8sg44loVLRGWMWYWEjoL7TMiAvGmRc6HV0GiKaTgW5F0P6bq0NAc4vkZDXGC5ynJXitvFCyCZtbEcSdr22K69rzZMF7JU85K1BDq+sgb7rSckpcqYs3w1AZNSEvgeyZxD3IgSsU1cLYL0XZxAIwh8sq5KmPE1HYOAWHzgImZ9vS2L8x9DU2nYhq6eCUcqeUzbx4qoOFux0HWgYqoVFdlFV1xxBXvssQc/+MEPePfdd0fd/+233+a6665jt91248tf/vKEhRzI9ttvz+zZs3n++ecHvffss89y4IEHll4feOCB5PN5Vq5cWbbfM888U3p/rMesFVt6evnz8+/yGtANpFHN9oxIA7qmYUQM3EDl2vdkVeV4Q1Sj2NG2Uveppmk8ubaXVe/2svyttEqJdVXxRnNcJxGLlNKWPT8g50i6e7dQVLfdwDNmn4ydvZAAerdAzxbYvKWbiNYXlfY8lWnmOA6WO7i4MWmqwG3WDkr+bNXAUZCxlVsrZ/tlq+MVM4WKD4vlBpimSTJr0t3dzY2PbuL6373K/X98VR2TgM3JPBu7MmzqymA5HqatCvlsVynB/jIVk1AMw6AxHiHvqmyfrrRN3lKZW8UiS9dTxXeqUtohnXdUzKAgt+36pZllYzxCcyKCxKM7nydt5fjfv73FQxnoAbYA0Zg6n++lUmStNJ0pG8dVfn3HVRarRLm7+ivvYqaerglcqZOI6rhSxU9cz8d1VXFiMbg8MCuoN+eSzNp0puzSBKArlWPV+g280tlBx6YOVq2Fzk7o2gJ52yTrukjfIZV3CXyv33o4ffGeIFCxqWzeojutsqVM2yWVs+nNmGRNh56MRdbySOY9muNKK0c0lXLbP3ZUvD6Or+JVPRmL3qyN77nMadLQdY2WwmCcdwKcwCXjOAgC1RFYF1i2yuILJCQiyqJqimmlyUrWVlbzlrRJV49JNpMvFaiqljrq92VMl96MRTrvFGqc+pSAH0jlPjPA8rXSPZ/KWtiBxDJzbMmarO/swbRMHNWcDIkoJBCoCUhkmMG/WGjqey6u55POZFm/JU/etDBdiW17dKcdcpY7pm7S1aAiS2X16tX827/9GzfddBNLlixhp5124uCDD2bnnXdmxowZSCnp7e3l3Xff5fnnn2fdunXMnDmTyy+/vCZKBeDMM8/kl7/8JevWrSu5mh599FFWrVpV9p2nnXYaX/7yl7n11ltLdSpSSm677Ta23357Fi9ePOZj1orn397MsuUby7blzAwRI053LkNbJEpEayEo5PSbtkveCWiM9UsdLLgKRkLXBM4W6MmpOgbH9ehOWeTyFlLoxAz1oAWBWkjIEBqrO7N4QxyrG5ibg3VdsBlosmB9j5qxF8naylVh2j4tDTq23ydjIEGXLsmcRxz1cGoExPWAZBDQYCgPfbF6OaKLUtyj9HAU2pubjiAe1XngTUiiBui3u+EcLcD2lUvNsmw0BKZpksFQsaV4eeC6pLgCnyAIiGiCpphGV0oSBCrW0hDve3SSOQcrkNhZEz0eI15wefWk83SkfVqiAQvmtKELlcEVi+jkXOhJZ7ClxdOry89pslfFEzw83tIy7Na2hWg0iuMFGCJOUyJKRFdZcaVK8qCv0UdjTC9V+iMDjEImn0SopQEKaadFZ1npd/seedMjrqnPWrZD55YUHVmXOVGXV941eT4PPmC4kDYtYokc67fYzNWbiLRE2K5fN2NDlzjFwRZJb14pWD+mzncy6+B5Ptu1F4LfBMhA4osYbQ2CvKMRD3xsTyNqFBSTAwQQj2ikCxlTdqARFdDQ2MSCmT5bUpKs6SI9m+7eDJs8yUwjhud5bEnbmJYgKiRz9T4loGnqGG7h/BTPR9b00AOTjOnSluhrjWS5AXnbJ28GRPWIcqeKvntCSpWVlbUDDGmxqReEb9PVk2RjKsPajRZam4XnZNBkDFOTCHyaYhoZV8mlvAWCCKIQPxFlrrVAQtpUyTrret2CohPo0ieXN8kKwZzWKO0tal2e/v0CK+3/Nh4qUiqNjY184xvf4KqrruKBBx5g2bJlPPXUU9x3332lB1sIwa677sqxxx7LaaedxqmnnjrugP4tt9xCMpksZWY98MADrF+/HoAvfvGLtLa2cvXVV/O73/2O448/ni996Utks1luvPFG9ttvPz796U+XjrVgwQKuuOIKbrzxRlzX5bDDDuMPf/gDy5cv56677ipbfKfSY9aKd9e+x9/98m3JFOitPnYmTUI0MWeuzoxm5W4RgUtEK+TVF9YRiY5Q5FdECEFrIyQCEA6s3tBLzrFIRAwisQSNMZ14RCNlSQLXQY8mWPHm8Md7C3itkPDWCxwUgazZV7Ye1Yu9llTMwRCy5CaI6IIANUPM2YKZmprZub6yHMxAokUCYrpaaTKiC/RCe/BiurNEuackAb7vkhwg34auHHvMb1DB/MAnkBqb0w7NjToS5Y+Gopuuz6eetVUMxQsgEdHRhUptFtJXa93oAZavFQr3ouTyGfKmTgIwtFms7+zhzS6X7Rsl82a1qk7ECOIRjSCX5uE3A2LYbB4gr+NC3kL1LEvAe1vSNLbNQRZ86LYniUfULN7xglLvraJa8UtZbX0WV2tjTLn6tGJQWQyZ9qxpauApVn5vyqTY2AmeDQlNuT4BNgLpPIhGFyefwdGbwYsyq7WBhoSO64OuK5eSV2iZEhE+nakseUOnIeKTzgGBS9KQxKIGiYigKRElERE4LiR0n4wFc6I6vjRwXI+sBVEBiVgCTVpsSZs4Xh49iDGnrQGJJJ3O0pnxiEmTtzfmSQloDUxM2yVn2mRdjXjhubHcgHisrwOB66kAfBAEBRebjRHYOK6P5Xgk/ADftenNKuteoqyfgVaflOrYmvRYs8VRyQ95m46MRc61WNsJ0TyQ8dl1e0FjLIamRVVdkRfgSw+huySiKp04ZzqYnqA1LohGDCKaJOdIdOmStTQSmkuvCY0xDUMD03cJJKRydmnCVKx/Kbqja+UBG1NFvWEYnH766Zx++umAMsF6enoAaG9vH9fqaEPxwx/+kLVr15Ze33fffdx3330AnH/++bS2trJw4UL++te/8pWvfIX/9//+H9FolFNOOYWbbrppUHzjhhtuYMaMGfz4xz/mjjvuYPfdd+fXv/415513Xtl+YzlmLUi5/uBtWTCESxAEtAqXji3b0RZzQSQwdK3kpopF+vLmK2FNB7wBtAH796QIpEl7PEE224TVrJExdRVDcE0SjQYj6BT6pzZ4QGsLpYWwpJREDJ1GDQJf4kmJ7bqYrqQxKpB6RA0WORs8k95MjIYI5PIWPemAqHCIxRMksxZ+XjKnSaO9tQnoa0IppE8q7yKEQeC5ZbK1A6aVpyMZAd/BKRSW+q6N7aoUUykjpSaL0JeeHHgOm5Iucc0jHi9kIWmqyLFFF2opWF21Lxe6pmaP0UICg6aRzPuYrssWS8V8dE3gex62J0l5HqlhzmdXHvQ8NM1SXZFNz8H1POIRjYYIhVRnVUxneSrDSwhB4HugGTiWzYaki+u6+M0JGmIGrQ0R8raHoWt9bj6CUlqqpmlIoROPC4SmZuupjMlbb8DKAP7RWd5tIA1kszBjlsD2AnJWjk7dZX7OoiERVxZl4JN3VMxKFxIPAxmAF+hkbDB0SdIGI+eia9CTdZmREDTEo0QNjZSjIVCz/dkxWYorSKkSatZsztOTTtNtefiykbkzm4nFYmzOWLzXm8WxU3SnIYhD3lTHD6REQ+JKlU2ma3rJPRdI8D2PrK3Svk3bRxMCNNV5OplzCDSbXM7E9jUV04oqC7CYiWUUCpRt1yeTt8k7Ac0Rn14T0ukUTzzRyesoS3p+BiIOtEdzBDMlniNKaep5y0UKHUMYOLqG6fhYvkZEEzQ3qrG4QUhyQZSoDAiiURqlyjR0A4HueqSkhmWaWK6q+ZEIfM8l76s+ZsVu2dVmQm1adF1n9uzZ1ZKlxJo1ayrab5999uHPf/7zqPtpmsaSJUtYsmRJ1Y5ZCwpZzWWs7gY3A/P20Mj5Hq7j0mk6BJokbghmtvgYWqSQhSQqzks3UQtVJQHTdcjbOYSEZitP3o6hG0Kl5xaK1saEUB1xfV/FErKmo4oGhYdLBNtRRXimJxCaUgy26+L7EtsN8NHp7k3zXpdLIxki0Si2ZdPQpNEjdGa09M20A6mUVSBB1zWydr5MlJmoxAHf98nlHdKZDGkXZsd1mlra0FBpv0LzMDSjtPiZV5jFpnMOKc9jTruO5SiFEEQFeTuG5zrkHTVQxuMaMUMjhyx0h1W1HetTghmxPldfyvTJmxbPvuAOPGslssAmYMc8WAlI4KBrOtGIqukoFnm6nk/E0PEL19z2JLoe0JVySOdsLCtgRpOyUGxXNYGUUsfTVeq6JiAeFdiBIB6RykJ1NFpigqzlsa5rM0+OcOltCxqjEXwb0pZNQ0TFzjRUAV/W6YtP5eyAREQQMwIs32dG3GFTxqMn2Us+ZpA147S3zaQ7owbFzSmLfDaL1OPsNCdB0Bwrtc0RQp1H07LYmMqxanWelW29CC/DIXu+j2Q2w/qeHmwTMlnAA9mCWqFUejiBQUSortVzWihlxzk+SM9TSSOug+W4GLpOEwLLkfhWjoyjo3l5Aj0BhQadxXuxlDTiOHSnLbqSOXypBvCWBoNNXZK3UdY8wAag2VbP+E7tgqSjge+QzAbY+Qy2BxEtRktjXKW7e8rKLxaSFpdKkEFA3nJIZmwcx6O10SDvO+halLzjF7oGqMJU0yt0yPBFxWu3jJWpXfQ8pIyh2rG/C7xrw8k5l7gNnS0ppGeSaGgh0ZwgQCtUfQcEgUazJiqyGGcAK4FGoNeyMHPgBTnijVl28Vpoa27AlQG+maezx6QRyFX4O4rxkmKW0paMTdYO0KVLY0MCEbg4rkZT1MDzVCpo1rTAzdNrRNiuxWBdV4r3sj4xJ0XbzABcC5cYsxtkWXGi50tcx0UELrbt0dVVPgq+DXRlMrQ3RBGBzZpkikCDRk0wc1Y7mqGr2o2oXqhYl6UmkZ4fYDsuWuDheREs0ybnanRJiRUYZHIuhqHSaXQ/oDEWxfVUnYPneTQ2NTOv1SASUZZKMe25s9fi7RHOXy/KLfVOHuZIeAOf+fMthDRwvRi2J1XfMM8jFtNoT0hyto/nOFi+hmNbJDM5NDTWrN7EY9kozXqWWLSVWLyB7WfGaW01aI4JbE8nbkgsJ6BrSy/vbZHo7ZBzJH9btWXE6/yPHDRsSBJxQG9OI33BLjkVuC4OhG6hIDOiC4JohGhEJ215bHZsbF/S63g0GjpBNocWbSaCRc6RJNMm73V2IWINaH4jc9pbiEYMmiREI2DbOZJ5Gzuf580UuCnId6Zoja8nbVps3gKuo5Y5aI9D0oSulIXn2BiGTsbVSBgSJ9CIoKwK25NIz8Z2JKbp4voOmTyknBQi2ozn5mhuaSQhfKQm8aVP3rSJGALLdohHDWIRtUxF1vJIZx10XWfN6nd4yzQwUmkG9jt/A+jMwhzHJoJLZ9KkNw3ZXIYWL0oiAnPbm4gYOgkEFJSK7fhYXsH1K3RMJ2BLzsXMZ0maMXJ5C5EwoJAwEtVBSkFcV01AY9VxKg1JqFTqiMYRjIy3VkO+AXrFOhp92G6mg6G1sRvNmK6uencVMqKaG0a/Y6ItsDCtMo46Oh06u2HebGhvzRL4qi1IRPP52z/e4NWsqFihgOq+6zpuIRNIgAwwnYAoHroHcV0nHjXwpSCds+hKWTiuQ9Z2iHsunSmbFc9s4u9p2BU4bA8PMzCYGRc4UnUI1oRGgEbUkORNybquHEnH57UN5bJI4M9/76V35152md1GdzdsSgEyyS4ze5g1eyaWp9a2aEpEcTwVwHZ81RZHFyptW9cEOduhywZdShKNTeTtgFz3Zmyps7DdVhXbUsN0Va1FxNBV6q7mk7YCmmOumlGmc6XZ6lA0oB7MDsAxQV8HB+xp4ruCWa0JVYTp++Qtl3jUwAkiJGIaadcAVKV6zvaJRwR3P9HFFhtiDixeBAtaPGQQgB4lqsVoSijLwPM8Xl3fS4cFrq0R+C7PDs6uL6MHeOo9mA3MB7RCHCFreSSirsq2KnQoQKoYRSpn05HKkc6naDCipHuyZFyTubGAOdpcTMdHBDammee1N3tIRnrIbAcH77UQTaqYSktE9fwSEtK+Shaxgc0W5B/ayII22LBFJRRsBkQSYjaYTh7f8YlqAU2ouhcdn7yjYg9pM0AEDppuIITA9MD0fTp7cwTxDDM0l9lxAzcvcQO14qkwDGxHJTY0FFbEDDyHTN7GcWwQgj/9I48lYXWSQYWhoCYRCT1AGBGyeYdczmNjbxojmoBCXYwfKCtelyo5IW85JbdbBJ9szqRr8yY2uyazojqbemz0VpcFjW2lDguGUJX9MV2r6TIroVKpI9xYFFWdMpi3gS15aH5TtW04vCHHDDNOR9pn+zaHdN4jogtcr7JLKn31IAbAum71YDpdsMMCm2xeNUrszbl877nBcZ7RSObActQsTQRqhbuoIYihXAEyKFaEK9fYlnSelJXHzqXpiMZp1D0eS0MKNbCelskTODm8QDIjLnH9JoRQrVOynqpz+cfa91hv2bw2hDyvmPDK63DpfklkRGWFdXXDS2vWcECkkVhEpyWhzluxGWJxTRQhNEQhY8ayLTKWpE0EBL5HRIfn31pPp4SDZmsctOvupGwfoxDfkFKi66rCXSDJWAEr33qX57qyw1xlhYaKBfWgYlQeYLommtBJmx4tDarGxilc66iuMtUimkQzIBn4WHkTM6aTz1BKBNjSmaIzneKA7ZpobY7THNdJ5V1ihiCXt1jf2cUmKWj3Y+RdMaLiK5JBuVJn5MCOANJHF4WFuGRAPgACj5Ql8RyXlGmyZssWAt9j+5kxognI2QGvbpJo8U3s0pKgtbEZ102wuludAy2pAukbeky6s6D5qhYja9r0dpbH9F504cWuwTK2WNCVyzNDeFh+DIpp6LZqs9+bNrFcaIqqlRM9z8c1s2xJWeTykLcytMejyMKSB07g4Lg+jbqyuh3bwnZj6jqbLpm8RyBVB4F3e9V9PJIT+e1VAbvNspnf0khgGLTGDBxf1RT5vl/oMiAQ8QAjGseyLDoykmbdJmVBxvXotW0ytkfe9dB08FyfTTkP17HJCkhEC+vAGILiks21IFQqdcS8xuGVCqgZTfFB326DT4PYzO5z55CztfIW9RUwZwZ0+NBtqUyeYhaQ0ASarqk4hzV8p+GR8BzIu26pHQxCQ9cFmtRAaET1Qnt/16IrZSMDF88PSDkBmmOxqdcqBbFdYG3nJjbnTBbM8ZjZZDB/O/WeH0hMy+atDb28vdEmM8pPf/F16PLVOdyYhJVrJHvuaCOIq95eheyyQFLKAPKDAE0GNMQMkqkeVqUDjEaPObO2w7R9Hl+trtiWdwOO2CfBTE2nqVHDtGzWbMoR+C7Rxqhactg0+dVjW4ZUfP3JogLhPspqaYmA6wfgS7I5m4ShBq6s6RP4Hu1NKt04V2hEKoCsbWN5kjZgLapI9Z11YGqQ6s3S2pRiTltCBYBdQTJj8957Lt067DTPoaGh8sSUCIBQBbCe62C6knjExQtUUWJ31iOmS2UN5GxVI5SHxlgaOwvr0hLbhLWpXraLxWnwAhqihUJQVKzR9Xx6MxapvOqOEI9F0XVBcog45EA2Aa0SkDYpXydqWbznStpyeTYLtYaQZVmYnkaDoROLaphOQMqBvOOSNKHJMtm+IarScnUD21FZYlnLJR6PYTqqSNNyVXNHx7HZksnj+S6Rwjka6Wn6mwnHux4Snba4TjYp0ISP46jlEXKORAZqNdimhM2mtI/veryX9/B9h3TKpLPLIR+Bdl0VOEYbJbMSOo40aNBUYkljVCXzDFf/Ug3GrFRc12XlypW0t7ezYMGCWsi0zTKjOYEaUkbHsmFjGnrTGTQhybsGrY16RSsurl27lrc2qRhO/xu9FdB8VWQYET6OM3wweSSyacD3Si1ObMfFtCRCLxQJugFtRkDKBOlZbEzlsew0qRyIeBYvKK+IeeSVHJoL2aCb7RMxBNujCUhbLut7LN7r7mFjN1ij5BP8rZ/RtRbIJeH4nM32UaPUq8ssLInbGFOBeccLSBhqka1Oy8d1PN5xYPtUhq5UnqK3LQ0YeASBRAY63ZmAVD5Hr+3xviiYTpxNvc6oCqWIQCVSeIBnQDqfISJUrYXlx8nbyvKR0mFLWtVRmLZPYyICQpC2LZ593aKzcJwY8KKvLNT0JjhoSzd7LJiN56mlE3p6M7zSqxTZcxYcuu9ow2AfESCbAacdNiS7iTe2kMtrbD+rGcv1sCyL7rxH4OXYksmRzEAuD0KXOCa8nAQLSL8C8/bowNESpDatZl1B7u1mqVhUU1xljTXHdXThsXZ9B38fqnhqCCQgtSiGa9EldRrcFGu3zCCCi55oxS+0CupNOwhypLyAfEbdk0EAru3RY7ps71g0JSJkHVUf4wUmjueTzQV4noqbSd/F8gM816LHVRO2Ss5kd94kk0niR+dg6AGWJ8iZFo7rYeCRzQfMaFAp99u1GLzdYaNjY9o2vgjIJKHTU5bZ7FlgR11cz6XR8JFSV4pajH39pbEyZqWiaRqHHHIIN910E5dffnktZNpm6c5V7moys9C0A6Rdj2ZPFTDmTNUaYjS+9d+v8RwM0l8vAQu6wNzFY2PSIZmtTMENJJ8ELRIvpVlmTJd8PiAQeWxixKRJVyAw/Dzv9Vi4bp6NKbDz0Gt6uAOewFcLr996A+b5GzjusL2JGGoQsG2bZMYkGoHcGA2rblRaqxQ6eRdiMZWlFDF0NLew5kzeRsYCkpk8XtYjmYTmBtjck+KPT/U5iCSwrqsHW7TSYKg6n85UDilsUjkdw8jTk6n8fG4oHNMEGk1Y12OSd0wa4000xjWVBeSZ5IXB5u5eeiyBnc/S1NBIYywgl7ZY7fbVlbgo94tEWWpdyRyGodbv8KXEclx6CvvNzoJuVWAC9Dv2Fgmx9TAjlmfH7QIcTZA0A3LZHJ0pB8cxydoOOccml4NNWegttKWxCsdZDfzHKjgvvp5XX1O/3UalBCezFoauOhJHDJ0XXv4HS1dV/rz4gBGY2L6LbfkkHVgobVJ5ne0aJa5r0ZVziQibbM7D0nQ6s6BHQMuCIwHpYDmS1gal1ISUiEBZ9w0JA9PxyTkS0/aQrseLb6SUq7VCGQUB72xOoTdF6OrK0NQeJYpGrpBerAmfjCWZ4dlEIhFaEoLNSY1kJkOX5bDKVI90MyAy0BiBzryruisUukF7vg9BIWgfrU2jyTErFV3X2XHHHUdchClkfIhgJE97ORaq5bUmHRJRQd5RqzGarqRplM8+McJ7j2yARb1dzHB9Xn13fcXy9Gc10BzpWz3StFyyto8nJNu3a/SkNJqNgGTGoSfZyz/WePRmVHZZBgYVLxbJAw+/BZ/1AuKRgM6ODfztnTSbNpi8Yw//uZF4d0svUc1lfnuUVK7gvhE6jgGpnIMXuGTtgA1bTNIeuB6kLOjN51nV7zgzgZUbu5nZKjBEjJ1mNaFL2Gw6zG5y0JIB73YMLHMcnv6evDWA9i4snAXz23Pk7SZmtDaSsSSxiEFnuoeenE9Pvod5gceWnA6RPoUC5QNbFli5EjYfmFKxg0AnbebYrbCfBry6eQwTHNSgPdMrzMotC3xJtx9gmlm2pGwybp6EhorxZJXSbEW55Qby2iqHzkBZaQaqLqUnlSMSi+P7gqwlefCNPGNZYMIDNpseQV6Sw8N3IWs7zE5EcHywHJ/enIVppUmlQDRDKgnGTHBtkA6s7bGY1ZpEega9eZ+edJKNmzKIGd0cMbeFWDyBY+V5/b3N9FhZXupR92xmFNmKdOd8olEfO5enIw1zWxxm+TEcH3zXJW+5RDWfnBMnEQ3I5Fw2bunlpdUpNiQpWc0pYEsW9rLBnKUWWBOimdaEqsfJuYJZjRrxaG2iH+M66he/+EVuueUWPvOZz9De3l5tmbZZtDGmZHgWNMebVdsPO4sMNCwrgUoUHh8WsLojheOn+M1b4ztGEtiUSqkWIRp4vo/p2Eg3y8bNMSJBms1WC5aVIu9LUlkVPM+iBqiReAdllbkRwYp3NvNWV4ZnusanUAAydpaNuThzsj4ztIC8FWA6HkIGpLNZNqczxCMuERnQ3QkbLDVQNMVt+lfEaMBLf3do2nUDR8wxaInsTM62MB0T221i9dqNPLByGCEqoANo7Ia8rQo4dXwMvVCvYOfoyLrkci5GxKTd0PBHOZFvAqs7OlnbmcZpjDPbz9LaAGvy8AKoQNsYcFBWR1MjuIGHZQt01yKdybAxlccNLGY2JEjnlesRlMU0VFbhKkspnB1R7q9oI6RzNi1aBCEM1qx9j79WOv0vkAN6egMMD7psaIyB59sEtJDNmfRaOVx8dA18T3kCUhloTMA6E3rfgyYBC+ekyWQ01qcsHnjNohuYudbD2qWHc+btyNtdWdZ1b+EfG/oG+Uoxs2DHIS1NXAuS2SxW1CPwHPK2h+d75C2HxpxFLi/pTKZ5Z3M3r3dS6stXOhbwhgsfamxmQ3eKzqRNU8KgwQhIuXE0X6OlqWGMElbGuJSK7/vEYjF23XVXzjrrLHbaaadBbeGFEJPSL2trImNXbql0A3M2geu59KZN8pby8ebssWdrDaQrBWs3UWHIf2j+9kYvJy7yCsuuWnT09BBgs4MeJW17tDVa5LMO2XSGDklFmUZFerIOGgGbNqXp2DR+hQLw5jvQul8S6baDjJO3XBzHw3Fd1nSn2ZLPEDWgNdGM50In6q9jXflxNhT+ZrwDPe94vP/Ad1md9NA06MlkePUtFTAeLybwHrA5mWP3GSZvr7fI2g4NiRipvEUyZ+M7qv7G8SXmKKG1JPDYKz14LtiRLOuAVH5s12Eg7TMg70F3Oo0nBY2JKI7vY3keaRt0w2FDsvwzQ93xVuGvHViYAN+FQAZkMkk2ZHyWvzhy/cxQ+EBPBoQJPTb4DdCVydIYQIYo69dnyMRgdgR0HRy7kMCyWV23Fle5ld7alGZODF5+TT2DoCZEf18NH13ks3HtWv66ikGtdyqhsxPiMyBqeGzshTkJSSZhYnqCLckcnWmL5ljB+nd87ECSzKr7YijygGmm6UzF2ZLsJIgZkExizJ6Lm4my0/xZ45BydMalVL72ta+V/v/zn/98yH1CpTJ2xrLWfAZIeWA6Fq4HyVyOZhFFBhNXKi90DJ75jJW/rIerXJW3n8yZrEmmiEqQpIh5Dkkzj3CzrNk09oHszdUrSeyxJ++8C6+Osdh/IJ15yHkaOdOm0bbJ5GwMHNxAI5VOsTkraU+ALC43W2C4Fiu9wHNA47seSR8adUhuslhRYUB5JFLA829ATqxnngE9JkRbYribbHokRB3A0BGuS2/n6Mfr6FGWQAaIMmbjZBB5S3WsbjPSBCKBI10apCSwPUwLcppfsSsIVDrxbFP1v+vN5+i1bLryHs+PY2HVOJDLwlpXWS1zcrBL3mOdzGMFFis7QY9Dr6bORTpXrhjShWP0pkE0wN8HHH8z4HsuL61Tk47Kp4d9ZB1Y3wntCZf1QNAJDRIO3yPHuq5uVmdMFjbrzGxqxvcsMpksyVG019PPwxEHJvn5Sw5RVIzqeH8TDUET/984ZKyEcSmVStrfh4yd1oYEKuxZGW8AG9NZdm6PoUeitMTjVelRNlGFAgV3Q9cm5syZQ3cySUcXxCTMbMjgoOP6Pt09AW+OIxfgvr8m2WNBnjeCiVlToBYd29jlsC66CYcIm1NZPN+h0TDozkhMC9wEuFae1Bi+7J2UOgc+wyug8fAOMK8Xeh1I6BDVbN7bqFKFtQDmdyfJm9BdQZw9jxoo18KQHajHSsoEvQfiIqCt1SIidTzXoyur3stm1YA7FtYDRg9szqbo3uTxyDrK3I6V4qDOj4/66wU2dUF0pkMmgC2W+mtELTswVMQ4B2zeDPkh1urLAs+9uJInx5fbAlCK0e22RimxmA/bpyCdd0m5Pr6UrE9ZzGrOk7NMUo7NG6NMql4EDpDqnBXPW9dmyCUmIOgojEup7LjjjtWWIwSYP3MGjCn8CIHrkLddYpokruvMaJzapZ7785eX1/DJD21HZ9oik1Eddk0pMNM+m01Ido/PTbDCgjuefKXirJrReOM9iGZtDjF6ea2rB82VROOCjKkGICGh1w3oGcMx142+y7gIgFQato/DljRENeWe0QI1EK7aBJ5Z2fevLcg5QWOvRC8Qz6tJiRHzibs+m3LKrZNCDexjVV45VPxn+3c9YqLP5TRWtgDC77MgLFQ3aF1Xg2AxppdFtTAaynrOAW9IhtVq947Ue2cMFA/TAHgxyFgWcd9BBgFCQlcuS+A6uEEwquXnAZl8ud3kmWBEaleiOKEjb9iwgSeeeILNmzdz5plnsmDBAnzfJ5VK0draWrWuxdsK7W3NY/5MMunTme6ksUkwvy2BptdPPevb79k4XoBlQbenArnt3ZKoVM0IX5uAp+73I7VNHiPrgGQPLMhkwZO8twm0qCSfBD2h2uPoTea4FGAt8D3IWOAX8jry9GVgrU6qaUml7pdqKRRQs/wOCUEOmrdAcztkMkrJRBh/TMkDnuqG901wOHEp9wNIDTrSQFCeXZ8c5/HHq/CGI0fBpSk0MCLEhGRDR0A26GWeoVYIrYSBSZxv2nBkshq26dCMawSSUvLVr36VW265Bc9T617vt99+LFiwgGw2y0477cS3v/1trrjiiiqLu3UTHcfs4e2NhVqGhGTnWXkct3Y3y1jxgkKKrqncVC6QTgM2rHTVIFgvZICupK0GHR8sC9ZIaM1Dcw/kW6o5/E6MvAOWA42Gap2u0Xcuqz2wjYU06jx6gN0Du0dU8N+nUHU/AbLACxO8YeKUuyKTSYjrkBmQglbbdRErJwu8l4O0Y+E7eVImbDFBN2FtQMUzgmcHuELzwOurh9y1Koyr+uXGG2/k3//93/na177Gww8/XLY8ZWtrK2eccQa///3vqybktkLOHHvtT4+lWq2YSUDKUu+qesAIwCVCJKrcCymgNwvdbqV9AyaXrjzENBVwXmeqAXI9sCGrsn3qhQyFehAP/GCsDtPaUXTFZFFuzc4tKvjcS3XjSuPFBfr3ANmMWq8oZQ3zgSnGQll5qzs3s2YLOFnotqG7E/Jb4KUJBD/fruEcaVyWyk9/+lMuuOACrrvuOrZsGZzet//++/O///u/ExZuW6Nzy9gfvWJwr0mClCrVtl5YMB8MN83GbpVlZKMCtfWoUEDVCWT08h5roIo5azixGzNdKFfiZmBhPYzWQ+ACGa+vDmU8wfVq04PK7CqyBWiz6/d+BKVY1m+RNEjozirXnOeoe2AiKeozqyLd0IxLqaxbt65sbfeBNDY2kk7Xy/xp+tCbH//t/R7w9oY07gGjWyojt62sHrOaNB598S36r0c1lpTSyaYjD1Yh0Fw/9t7QFOM7tUoImCguakCslzhUkYFPmE1935MukMtAxlFK2kT9TbR917H7TVy24RiX+2vOnDmsWzf87fzCCy+www47jFuobRVNi46+0zCYwPI3VTfX0RgiI7ImWL7B39bWqW9hCDYA/6D+Fcp0oR6v/MAK/hT1YUUNh0Q1j0175Qp6ovfo9rNqZ6uMS6mcccYZ3Hbbbaxe3ecUKK6N/pe//IU77riDs88+uzoSbkPMqWBxrZFYC6xdvxHXHbnWpcZNSkt4noMYe/HzlBIqlOoxker8WlBspd+ferZSinQUFiKrpptuZkttWrTAOJXKtddey7x58zjwwAO54IILEELw/e9/n6OPPpqTTz6Z/fffn6uvvrrasm712GLihYsPr1pHV3LkdRqHauJXCzTg3cnws4WEVMBkTaaqTZLqKz85vqG/IsZ15NbWVv72t79x5ZVXsmHDBuLxOH/9619JJpNcc801LF++nIaG2mlCgIsuugghxLB/Gzaodm7HHXfckO+fdNJJg45p2zZXXXUV8+fPJ5FIsGjRIh5++OGa/o7+uNbE5yJv/wPe3TByWWB8wt9SGT3Z6lTnh4RUg4DyQP22igDS+do5/cZdKZdIJPjmN7/JN7/5zWrKUzGf+9zn+OAHP1i2TUrJ5z//eXbaaSe233770vYFCxZw/fXXl+07f/78Qce86KKLWLp0KVdccQW77747d9xxBx/+8Id57LHHOProo2vzQ/phVqHEpAvoSo/co2OySlLjjeOctYSE1IjQcC6sqZMb2ZsxEcalVP785z9z1FFH0dQ02sodtePII4/kyCOPLNv25JNPks/n+eQnP1m2vbW1lfPPP3/E4z377LPcfffd3HjjjaWGmRdccAH77rsvV155JU899VR1f8AQeO7EQ5tdQEt85PnYZBUdLmxtJj0tvNYhIdsWPanaWSrjmkiefPLJzJgxg0MPPZQvf/nL3HfffXR1VasT0/j5zW9+gxCC8847b9B7nueRHWElw6VLl6LrOpdccklpWzwe5zOf+QxPP/30iNluVUOPDmmejyXSIoGFc0Zu9zJZjVwWzp07Sd8UElIZoftLYdVwZjkupfK3v/2N66+/ngULFnDnnXdy1llnMXfuXPbaay8uueQS7rzzTtasWVNlUUfGdV3uvfdeFi9ezE477VT23qpVq2hsbKS5uZm5c+fyrW99a1CG1Isvvsgee+xBS0t5GPvwww8H4KWXXqql+AA0x8SQ5vlYrv9+QCQ+8iJdE08HqIyYEeZShdQX9dMZb2ppqGHWwrjO8eGHH87hhx9echO9/vrrLF++nOXLl/PQQw/x85//HCEEnjd5faj+/Oc/s2XLlkGur1133ZXjjz+e/fbbj1wux9KlS/nud7/LqlWruOeee0r7dXR0MG/evEHHLW7buHH41SZs2y5bXnm8hZ/mMNOHsZzF2fMhMcpgXnlz/YnRnamfPmQhITB9M8CqjVbDZuYTVtyWZbF582Y2b95MZ2cnvb29SCnZddddqyFfxfzmN78hEonw8Y9/vGz7wEXEPvWpT3HJJZfw05/+lC9/+cscccQRAJimOeRaJPF4vPT+cFx//fVce+21E/0JZKughJsTIIyRbZG2CJOiWUwrWWrPEhJSD4S2syISqbOU4gcffJCrrrqKxYsX09raygc/+EF+//vfs9dee3H77bfT0dHBqlWrRj9QlchmsyxbtowTTzyRmTNHrxT96le/CsAjjzxS2pZIJMqsjSKWZZXeH44lS5aQSqVKf+ONv/jmxINnjg1xfeT+X22TlFOcNoNJq94PCamEeuqMPZX4du16BI7LUvnoRz+KruuceeaZfPOb3+Soo46itbW12rJVzB/+8Ichs76GY+HChQD09PQtuzRv3rxSbUt/OjpUpcVQKchFYrFYVVZcDGJDz+sNKneBORrY/shGvlZcQ7bGJKIaDUxsDfmQkGoSphQr0jX0TI/LUjnllFNoaWnh3nvv5dJLL+ULX/gCP/nJT1i5cmW15auIu+66i6amJj760Y9WtH+xvczs2bNL2w488EBWrVo1KB7yzDPPlN6vNTI/WKEIxhZTET7kRslBtybJHzWzpXXSkgJCQkZDJ4ypFPFqOAaMS6k88MADbNmyhVdeeYX/9//+H0EQ8J3vfId9992X2bNn87GPfYybbrqp2rIOSVdXF4888ginn376oCr+dDo9yKUlpeS73/0uACeeeGJp+1lnnYXv+/zkJz8pbbNtm1/84hcsWrSoZN3UEtkweAgeazxNj0JvfmQjP5gkH0BzIlLTFtshIWNBJyzGLZIduT56QkwoUL/vvvuy7777cumll2LbNr/97W/5/ve/z//8z//wwAMPlGIXteSee+7B87whXV9///vfOffcczn33HPZbbfdME2T+++/nxUrVnDJJZdw8MEHl/ZdtGgRZ599NkuWLGHz5s3stttu/PKXv2TNmjWDgv21osEfPNqP1Vx3PWiMjVwz35BgUlqz2r7O7BbqZxWpkG2aRlTn5DAnEewaJuqMW6lks1lWrFjBE088wfLly3nuuedwHAfDMDjiiCM45phjqinnsNx1113MmTNnUMsWgB133JFjjjmG+++/n02bNqFpGnvttRe33XZbWZFjkV/96ld861vf4s4776S3t5f999+fBx98kPe///2T8VOIxBNMNNgxfwbMaRu571pTM2qFohoTi2jM3I5QqYTUBb1MXouieqe1hs1QxqVUDjnkEF555RV836epqYkjjzySq6++mmOOOYZFixaNmClVbZ5++ulh39t555259957Kz5WPB7nxhtv5MYbb6yGaGNG0zQmmu07o7kJTRvZyK9hNmEZrY1RZoYlzCF1QiMqplLPKz1OFokajgHjUio77bQTn/rUpzjmmGM46KCDRh3EQiojqvuDfL5F79FQa0EMhRs4JLMWLU3DWyv+JK04bDkekYY49blcU8i2Ro7J69Bd7+Trrfjx97//fbXlCAF6cm5ZHn0zMAMV/tCoML5ixHGCkZV8ehLSiQ0gmXVoi4X5NiH1QaTwF05xoKmGudUTCtS/++67/O///i9r164FVAzj5JNPZuedd66KcNsamZxdFkQsuj0rDSxGgJmJONs1j+w5NichWb8JMHSBL0MrdqwkUMtDh1QXF7WmyrZOAvBq6JYet1L56le/yr//+78TBOWXSdM0rrjiCn74wx9OWLhtDSOioROUrJUYY6sAngXMb2pAi4xs5LuTMGI1omIqaSssNxsroUIZnkrdwEMRQbmTp9kK11XHBLbUsKn8uKaRN910EzfffDNnnHEGTz/9NMlkkmQyydNPP81ZZ53FzTffzM0331xtWbd6ZiYipbYmAqVQxjLAOMCaZAbXGbmyyZmEBkgaYFoOQk5W+8qQbYGJ3LoB02NN+sngvd7aHXtclspPf/pTPvrRjw7KrFq0aBF33303lmXx4x//mC9/+ctVEXKbQY/RjE0W9fA4jE2pCCCTN8m70DbCfrlJKH5sBtKWxAubLYXUCVFCK7BILZtqjMtSWbNmTVk1+kBOPPHESV9PZWtASr/k89VQSmIsSRouqvtoTJ/6XqwNwIxGHTdUKiGTxGiZXaFC6aOW7ZPGpVTmzJnDyy+/POz7L7/8cllfrZDKSKVzdBb+H6CUSjExuJIcqizQ3tBAJDKyKpqMcb7BgIZ4tKaVuyEh/QlLoiqnll0FxqVUzj77bH72s59xww03lDUvzOVyfP/73+dnP/sZn/jEJ6om5LbC253lryV9s6tKbY+IHkHXRlZBk9GmIu9B3gszv0ImB53KLJGR10TddqjlCpjjOvZ3vvMdXnrpJa6++mr+5V/+pdQWfuPGjXiex/HHH8+3v/3tqgq6LRAdYJMKVGuJSpkJ6BWM45PR7yADJHSfeNimOGQSiKFmyKMZxiP37952iNawX824lEpDQwOPPvooy5Yt409/+hPvvfceACeddBIf/vCHOfXUUxEiLHobK/MHFMHnoaxtSxMjt5jQgKzjYTsujYnhR/Ox3E8a48vtjwOe1GiL64RLI4XUGh2VnBK2YKmMulqj/plnnuHdd99l5syZnHjiiZx22mm1kGubxB5wNaIoV1VRqYzmAnMAIQOsUfxbiTE0GBtvsZgNOK6HHYRKJaT2CEa/paOEi3QVaavhmhQVK5VMJsPJJ59c1sBx7ty5/PGPf5yUBay2BewBd7yPehCKJvtoprsDOIhRlxOejIaSxa+w3fAxDqk9jYye0RT6TvpI1LD3V8XDyw9+8AOeeuopTj/9dP7zP/+TL33pS/T09HDhhRfWTrptjNiACX2C8nzy0e6DKKpNi9RG3rO5beyyjZUoEItGiEdrePeGhBTwGbn2QhBmh/WnlgXQFVsq9913H2eccQZLly4tbdtzzz259NJLeffdd8N+X1XAHjDVclGKJd/v9UgkgJgRGzUINxmWSqMGiYigORZjYs38Q6aK6eQuyjOyJSIJq+n7U8tO5RUPL2vWrOGEE04o23biiScipWT9+vVVF2xbJDpg7NUZW+BxDhDTBbo+slYxaplPWMCXkMrZaOGqSNOW6dQmPsvoSmMSbvtpQRRoHXkdvwlRsVIxTZOmpvLlwoqvXTeciVaDyAD73EQpluLfaD5jHTAr6IviTUKrVktCMutihbUqIVVmODfWaI7WCJOTTl/vtAHzZ9TuuRyT8s7lcvT09JReF/+fyWTKthdpb2+foHjbFgNVcwTlK56BysJyGdlvbAMSgZQjO0zlJEQsU0BDFDQvbI4xXanXtdyHun2bUZOu7hE+14DqUvxuLYSaRuiAVkN3xZiO/PnPf57Pf/7zg7afccYZQ+7v+2Eq6VhoGTDVihf+MvS1bRkJDzDwcUexVhKTELGMA7FYFEtMdIHk6c1463zqgfyA1zFq24iwUnT6kliK59Zg9EB8lLH10ttayQDpbO2iZRUrlWuuuaZmQoQoBl5mA0ii3GAGo1d7RIGsG+D6I1sqjZMQ5xCA6/kYwbarUGD6KhRQ91x/a6UeFAqUty8q0svovvxeattIcbpgAqkaLn85bZXK448/zvHHHz/ke08//TRHHHFE6fVTTz3FlVdeyd///ndaWlr4+Mc/znXXXTcoRmTbNv/yL//CnXfeSW9vL/vvvz/f/e53+dCHPlTT31Ikmy5/HaAearvwN5ousAHPd4noI9s0YxkcxrvCvA54PjQ0NDG2ZjPbFvWcYaVTny6w4e7u0e7rADVJ29bRgHgNsxamfULE5ZdfzmGHHVa2bbfddiv9/6WXXuIDH/gAe+21Fz/60Y9Yv349P/zhD3nrrbf43//937LPXXTRRSxdupQrrriC3XffnTvuuIMPf/jDPPbYYxx99NE1/y2ZAU+wRrl1MpqlkgcaYzEixsjqp9K+P1HUzG48SsUAYhFB3Jj6Nvz1TJz6VSr1amMWz9dAx+pAd91ADMLeX1CILdWws+a0VyrHHHMMZ5111rDvX3311cyYMYPHH3+clpYWAHbaaScuvvhi/vKXv5TSpJ999lnuvvtubrzxRr72ta8BcMEFF7Dvvvty5ZVX8tRTT9X8twQDRheHsVUBNwLNseioKcWVtjx2mNgNIoQgZ09nB1DtqUdLoEi9XrlGVCJIlHKlMpq8cUZXPNsCBqCL2g39W0W+ZyaTwfMGP57pdJqHH36Y888/v6RQQCmLpqamspUrly5diq7rXHLJJaVt8Xicz3zmMzz99NOsW7eutj8CaBgwexirDzsBBL5P1Bj5stpjGMnGm84eBVwfrDDdfETCQW7suKiBcawWXmgzKwLAGWK8rBbTXql8+tOfpqWlhXg8zvHHH8/zzz9feu/VV1/F8zwOPfTQss9Eo1EOPPBAXnzxxdK2F198kT322KNM+QAcfvjhgHKj1ZqBnqKAsVkKiSi4gYamjXxZR3m7fN8xfH9/soBnZYmP4ooLCRkrHuWNVqGy56SWHYyn00DqAMka+gGnrfsrGo1y5pln8uEPf5hZs2bx+uuv88Mf/pBjjjmGp556ioMOOoiOjg4A5s2bN+jz8+bNY/ny5aXXHR0dw+4Haq2Y4bBtG9vusyvS6fSw+45EcsCkPjnGzzsOJCKjp3HHxzDOj/dBzAIbUzaRyegJE1IT6jUd2qNQa0GfYtFQNSgjPXm1tJmnU7PKZqCpsU6KH+uJxYsXs3jx4tLrj370o5x11lnsv//+LFmyhIceegjTVImHsdjgRMJ4PF56H1THgOH2K74/HNdffz3XXnvtuH9LkcSAO3OsD3Q0ClIfvbmGGEOy/njdM0kgCCySqTA0Ol2JUD9pxEWi9NWpmPQpCp2pdW+NNJUrylovtAG7zmoabbdxU7G6SqVSnHTSSVx33XUj7ve9732Pk08+mWx28pfL2W233TjttNN47LHH8H2fREI1ZehvRRSxLKv0PkAikRh2v+L7w7FkyRJSqVTpb7zxlxkT7ccjqSjbajJKRwIgEUmQrWXnuq2Aep7h1ptCKZKgb6XHIlHUDLweqSeFAupcCb0OlMott9zCU089xcUXXzzifhdffDFPPfUU//Vf/zVh4cbDwoULcRyHXC5Xcl0V3WD96ejoKC2DDMrNNdx+QNm+A4nFYrS0tJT9jQdtgh38NAGaPrrxmZuE0WIu0NqYoGWUpIGtmUr6TNVD8LieFdtAoiirwGVwenCcsa1quq3SC+St2nkQKn7i77//fs455xxmz5494n5z5szh3HPP5fe///2EhRsPq1evJh6P09TUxL777othGGXBewDHcXjppZfKFhc78MADWbVq1aB4yDPPPFN6v9bICRYsuD5DZsENxBmD8TDethY9gJAuzU01TIivc+pthjoc9aDYKsVDWSk+5dXxRr/tISPjA9mBKwJWkYqVyhtvvDEoi2o4Dj74YFauXDluoSqhq6tr0LaXX36Z//mf/+GEE05A0zRaW1v54Ac/yK9//Wsymb7G2HfeeSfZbJazzz67tO2ss87C931+8pOflLbZts0vfvELFi1axMKFC2v6ewDcCU4Zo4ZaF340msegKcbrvNoCbExZaGI6zYND6hkNZY0U7/D+w6JO2LehUmLUdiJRcaB+tM63AwmC2vrSP/GJT5BIJFi8eDFz5szh9ddf5yc/+QkNDQ3ccMMNpf2+973vsXjxYo499lguueQS1q9fz0033cQJJ5zASSedVNpv0aJFnH322SxZsoTNmzez22678ctf/pI1a9bw85//vKa/pchETfdIIzRGRx/EE2OI3Yx35qcBUUPDzIdzx5DqEKCsvzhqYJwFFKeWPmHNT6XkAenUrvlXxZbKDjvswAsvvFDRvi+88AI77LDDuIWqhI997GN0d3fzox/9iMsuu4x77rmHM844g+eff5699tqrtN/BBx/MI488QiKR4Mtf/jI/+clP+MxnPlO2gmWRX/3qV1xxxRXceeedXH755biuy4MPPsj73//+mv6WIv4E65GEq1rfj8oklHHPA2Y1RnCCUKmEVA8bFUvJUJ4+nCdUKpXiAj1u7WyVii2VU045hf/+7//ma1/7Grvvvvuw+7311lv8+te/5tJLL62KgMNx+eWXc/nll1e079FHH82KFStG3S8ej3PjjTdy4403TlS8cZGaoBPeBSx3dAvRHUMieQPje1ijQNqWGJOxzOQ0pl5rQeqVCH296PrPiB2mV2xoKukBegZHD6pGxZbKlVdeSUNDA8ceeyz33HPPoICw53ncc889HH/88TQ0NPD1r3+96sJu7VQQDhkR4UMlyVbBGBI/xhuozwE5y0bfxlvfj8ZURpymo7qP0FdN3z+mUlyAK6QyzBp6Kyq+r+bMmcOf/vQnTj/9dM477zwSiQR77LEHzc3NZDIZVq1ahWmazJ07lz/+8Y9st912tZN6K6V9gos9BBJEBfM1ZwyaIjVOWTQgonn01msL3jphKp2DRuGvhktrVJ1WlGVnoRRy8W6fSitlOi5DVxeBeoDDDjuMf/zjH9x222088MADrFy5knQ6TUtLCwcccACnnnoqn//852lra6uRuFs3E3VzxhIQaKMv6xibhJGsEfCIEdGmS2Lttsl00/kGqiLcRCmWYslVFOXWmQrqudP0cBg19LmO2QJubW3lqquu4qqrrhpxv97eXmbMmDFuwbZFBs52xrqAkwa0V1Bxl5+EpyAJNEYk5rQqrdu2sJh+xYLFxeo0oIk+pTKVJbbTMZajVVKZO95jV/Ngtm3zu9/9jo997GNDNmcMGZloPwsiQmUV2f3RI2AHow8TuUnwd2QAy/bx9G23on46MN0GxAjKZdhAuexNTM8Y0ZRRQxN1wtdBSsmjjz7KXXfdxf333086nWb27Nmcd9551ZBvm8LvdzVcxh4kd33Im6NrDDEJI4mGmgk7k6HBQsbNdLMjJUpmj/IZ8cDXISMTqceVH1944QXuuusu7r77bjZt2oQQgnPOOYd//ud/5ogjjkCEldRjxhsQ6+ge4+cDD7wKfKXWJDjSLaCBgHwiSv22JgyZbjSjJtkW5UkOeaZffGgqqV07yTEqldWrV3PXXXdx11138dZbb7H99tvzyU9+ksMPP5xPfOITnHnmmRx55JG1knWrZ2AxfP/slkpwbYhoo39CTMKUrgXQowmiTvio1ytFS3i6lKc2o56HYgFk/9s4LHysnCgQTLB57UhUrFSOPPJInn32WWbNmsVZZ53Fz372M44++mgA3nnnnZoJuC3hD1AqjYxtkSzPA9evQA1VmP/YyOBOsJXSDER0iVbjdj0h48dDXaco47/Ok0kxjhKgrJL+4+JUOlkNplcGWITyc1dtKlYqzzzzDDvvvDM/+tGPOOWUU8JK6Rowp9+CEBHGnpkjffAqUCoiTkUFKBO5wlFA0yKka7gWdsjEaEJZKdNBoYBSHAbq1rUoH8jHmilZTRoZ+XEab1eKWqEBzQ21C0+MaT2VefPmcfrppzN37lw+97nP8dhjj4250WTI8Dj9Qg8+Y39I/AB0Mbpl0FLhNGW8hY+g4kG6Br4VKpV6xUW5WGvpX68meZTMxTuq/53lM3Xp0aNZSfW2+EMOSGVqN25XrFQuu+wynnzySd555x2uuOIKli9fzgc+8AG23357/uVf/gUhRBicnyDv9ovMj8dp5KEywEajdRLucgHoRpSGxgm2CQipGUW3zeSv0To+XNREZyjvrc/UtWkZLQ1l9HLkySUANtSwUnTMIdudd96Zb37zm7z++us899xznHPOOTz++ONIKbnsssu45JJLePDBB0vL8IZUzsAuxWOtRRdQkWLPTsKlcYGo8DFkGFOpV4oLXU10FevJZKQBa6oG79GeuHrsKaHVMHoxoTygQw45hB/96EesW7eOv/zlL5x44oncc889fPSjH2XWrFnVknGbYWAzyLFedwnEI6MrlfwkOJ9NIJl32Jyabl2Rth1MlIt1umR/wfDPRISpi6mMZiHVY9eC/vHbalOV5FJN0/jgBz/IHXfcQWdnJ7/97W/5wAc+UI1Db1MMXHl3PHN8u4LW9xWs41UVbF/y3qbJ+a6Q8REwvTKXhnOm+kydchxt8pce5f2poJZpVlWvWIjH43ziE59g2bJl1T70Vk90wJUeq1LpBZL9lk0eDm28/ezHSHtCww+9X3WNzfSyVIaL/0xl5G60QbQez++mGqb8hZ0N6ohKSkxGYjOwqTc56n7uJDl53UAjzN0IqSbDDViSqXMzjdajrx7dXzVcTThUKvXElgEZGWM1KDzAqcAysCfpLt+STrMgDK2FVJHhBvA4U1cAOdrjVG8VfQJoaa3d8UOlUkcMTE0cq+eoAWiPjW4a6JP09FleEK6VO02px4FBB9oHbCuGIR2mLstqtFu83vJgJbCg3gP1IdVh5oBp2Fg9RwnA9Ee/pP4kOaCbYwadYS/Jukanb6bdf5ypx7nAUC6uRtSiXVNZCzJa2Ve9WSoaEG+pXbHatFQqzz33HP/8z//MPvvsQ2NjIzvssAMf//jHWbVqVdl+F110Uakos//fnnvuOeiYQRDwgx/8gJ133pl4PM7+++/Pb3/728n6SQC0DchNHGtWzkbAckdPrHQnKR2lIR7Hnqrl+EIqwgdmowLd/QeDehsIQSm63n6voyi3V5aplbexYeREgXpYqrC/MpaAUcMMmnq8d0bl+9//PitWrODss89m//33Z9OmTdxyyy0cfPDB/O1vf2Pfffct7RuLxfjZz35W9vnW1sEOxW984xvccMMNXHzxxRx22GEsW7aM8847r9TSfzJIVqG0uZIGjr2TVELteh56gvqz/0PKyDG4LVC9phkPTFrymVpZDaChGaL54Svr66GRVRN9bZcSgKhhXHVaKpWvfOUr/OY3vyEa7TN6P/GJT7Dffvtxww038Otf/7q03TAMzj///BGPt2HDBm666Sa+8IUvcMsttwDw2c9+lmOPPZavf/3rnH322eh67aPb1VjmN2OOXmwYiTMpDmjbh8QkpS+HjJ9iEnp/d+tUNmgcif53t9Pv9VQ1bPSAfK7vHA5FPSRAttCnVPJAT7Z2A8C0dH8tXry4TKEA7L777uyzzz6sXLly0P6+75NOD+/zWbZsGa7rctlll5W2CSG49NJLWb9+PU8//XT1hB+JKjzFb3eMvs+MSYqp6IFDDV23IVXEoLyeot76VRXp31JGp88InsrZcW4Uy78e6lQGWniZGk4qp6VSGQopJZ2dnYPaw+TzeVpaWmhtbaW9vZ0vfOELZLPld8GLL75IY2Mje+21V9n2ww8/vPT+ZJAcvW5xdCpRTJPU7Cnj+iTrsZw4pIwEKjbRfzBomxpRRkWjb+ZfXFul+P+pmr+M5sSohzqVgY3JK+jmNG6mpftrKO666y42bNjAt7/97dK2efPmceWVV3LwwQcTBAEPPfQQt956Ky+//DKPP/54aU2Yjo4Otttuu0HNGOfNmwfAxo0bR/xu27ax7T6P6khW0UjE41S8gNZwVPLxyao+TiWzdG+ZpC8LGTfzUPdNmj4XSS0XcZoICVSWmoWaPxWnhzGmxl0XA+JRRnQn10P3u/7xnjlAW0vtbNGtQqm88cYbfOELX+DII4/kwgsvLG2//vrry/Y755xz2GOPPfjGN77B0qVLSwF40zSJxQYPtfF4vPT+SFx//fVce+21E/0ZzGpjZOdsBVTSaX7eHNA21j5tdHMOaqVTNOoz7XU64jDYZVGvuRUCZZEMNW2bioC9Bnij+LfqoUtx/+myBtRQp0x/99emTZs45ZRTaG1tZenSpaMG1L/85S+jaRqPPPJIaVsikSizNIoU2/cnEiM3YliyZAmpVKr0t27dunH8EmitwvQwUYFrS5eTY5Kbmdplvkyndu3TAY/R243UAxqDlYdAxS2m4p4wgewoJlI9lGr1t5ayQI9VO//XtLZUUqkUJ598MslkkuXLlzN//vxRP5NIJJg5cyY9PX0FFPPmzSutYtnfBdbRoaLeox03FosNaemMlY1VaPIWVDBd25KZJJNc1G7hpOmysFR/EtTHrHUgDjCL8pU+6yENdiBNqPt2YOynGFuZqtTi0SZo9RCob6Pv+mYBb4hJdLWYtpaKZVmceuqprFq1igcffJC99967os9lMhm6u7uZPXt2aduBBx5IPp8flDn2zDPPlN6fDJKdEz9GvIJo5ZZJWpQ8CAr+5hCgPgaXodBQstW7pZJFKcCiwpuBiq8UM9em4vxq1Gfq9UAGqpBaLtQ3LZWK7/t84hOf4Omnn+Z3v/sdRx555KB9LMsiM0Qb+O985ztIKTnppJNK20477TQikQi33npraZuUkttuu43tt9+exYsX1+aHDKAaD8XAVi9DMklTumQa5HR44iaJetWvxVum/1yjXtet76bP2utFxex8lGKZilstmKLvHSsD7733uofcrSpMS/fXV7/6Vf7nf/6HU089lZ6enrJiR4Dzzz+fTZs2cdBBB3HuueeW2rL8+c9/5k9/+hMnnXQSp512Wmn/BQsWcMUVV3DjjTfiui6HHXYYf/jDH1i+fDl33XXXpBQ+AsQTTNiv09Aw+tBlTFJBYtKt3QNXXF99OlGvLrtiTMJAZTPFGHuH7Mmk/1QxX/iLM3Uuu3pIGR6NgeVrtby+01KpvPTSSwA88MADPPDAA4PeP//882lra+MjH/kIDz/8ML/85S/xfZ/ddtuN6667jq997WtoWrmRdsMNNzBjxgx+/OMfc8cdd7D77rvz61//mvPOO28yfhIAiSpMZXtSow/j1fieSlgN7FijY0eZfkqlXilm0Vmoc9pM/SrA4bCYupjVJHmTJ8TAGOrcObX7rmmpVB5//PFR92lra+POO++s+JiaprFkyRKWLFkyAckmhl6Fq/HOe6Pv01qr6PkAstSumd5UteXYGrFQA0FX4XU35R2LpwtTlWJeD3UoYyVewwDUtFQqWytuFe7OdAUBuIriLlUirCWpfywGx/MClItkOg2YU9VjazrEVAayuobdw6dloH5rpRo+4e3aRt8nLyfPYx66qOofg8E1ty71m602HFO5Tv10o7d39H3GS6hU6girCs7ZXUYv1cHJT978s4K8gZApZqiiQcH0szKnymKohy7EYyVew0rRUKnUEblqPBXG6Le4O4mjRWw6pMZs4wwVP5mOA8NUFZZOBxfhwMdwTric8LZBNW7ODRtHd6I5k6hUemv0pIfBwOox1CWq55TiemM6uAknU8ZQqdQR1Rjr11ZQlV/LttcDidZo9A9jNdVjqMlM1xDbQrYeeqqxzMYwhEqljqjG7HB9Bfuka3hDDaQaTTJDastQCYOTeItMe6Zb7AkgXcOc/FCp1BHVuDkraTXvTGLp8ZbpVkW3DTIdYgIhE2NgTCVew1hnqFTqiGpMHlor2CeYxKnVa5P3VSHjJDnVAoTUnIExlVi4nsq2wcjrS1ZGJUpl4azR96kWoaESElJ/tM8efZ/xEiqVOqIa3VMq6S7b0lzvTc5DQkJqyQ5ttTt2qFTqiGrEtCupKo5uBbUjYfV09QjTh7c9jFjtkvJDpVJHVGMNi0qCrr6Y/lUe4Y1bPcJA/bZHd7J2Sfnhs1lHVKNOsJJOL9Kp4bJvk0Q9LssbEjJd2DBwgZUqEiqVOqIaLp1Kgv15f/LSv8LWXyEh9ceaGmbQhEqljqjG7DtVwT6OM3lNG2qYZBISEjJOZoR1KtsGkxV8NiYxUF9JinNISMjkcsAOtTt2qFTqiMkqdHcmMTIbBoFDQuqPltm1y/kLlUodMVmRji2V+MiqxLrJ+6qQkJAKWb22dtO9UKnUEW9P0vds2DRJX8TQzQpDQkKmlvUVdDMfL6FS6Ydt21x11VXMnz+fRCLBokWLePjhhyft+ydr5brXw77xISHbNLEaVryGSqUfF110ET/60Y/45Cc/yb//+7+j6zof/vCHefLJJ6datKpSSSfjkJCQrZcZ1egJNQzTv7S6Sjz77LPcfffd3HjjjXzta18D4IILLmDfffflyiuv5KmnnppiCUNCQkKqwzs1nFmGlkqBpUuXous6l1xySWlbPB7nM5/5DE8//TTr1oUh55CQkK2DV2t47FCpFHjxxRfZY489aGkptwsPP/xwAF566aUpkCokJCRkehG6vwp0dHQwb968QduL2zZuHL4Bim3b2LZdep1KqZzddDo9JhkCuzprfI72vdX6npCQkOnLWMen4v5SjlxRFyqVAqZpEosNrmmPx+Ol94fj+uuv59prrx20feHChdUTcAy0/tuUfG1ISMg0YrzjRCaTobV1+F4ZoVIpkEgkyqyNIpZlld4fjiVLlvCVr3yl9DoIAnp6epg5cyZCiLJ90+k0CxcuZN26dYNcbfXEdJBzOsgI00PO6SAjTA85p4OMMHY5pZRkMhnmz58/4n6hUikwb948NmzYMGh7R4fqET3SiYzFYoOsnLa2thG/r6Wlpa5vuCLTQc7pICNMDzmng4wwPeScDjLC2OQcyUIpEgbqCxx44IGsWrVqkJ/xmWeeKb0fEhISEjIyoVIpcNZZZ+H7Pj/5yU9K22zb5he/+AWLFi2asvhISEhIyHQidH8VWLRoEWeffTZLlixh8+bN7Lbbbvzyl79kzZo1/PznP6/a98RiMa655pohkwLqiekg53SQEaaHnNNBRpgeck4HGaF2cgo5Wn7YNoRlWXzrW9/i17/+Nb29vey///585zvf4cQTT5xq0UJCQkKmBaFSCQkJCQmpGmFMJSQkJCSkaoRKJSQkJCSkaoRKJSQkJCSkaoRKJSQkJGQrYypD5aFSCak7wtyRkHqk2Ci2nrnnnnsABrWHmkxCpTJBXnzxRd57772yG67eBsV8fnp0JV69ejX5fL7Ub60eefnll3nrrbdYv359aVu9XW+AZcuWcdlll7F69WpA9aOrN37729/S3NzMihUrplqUEbnvvvs44YQTuPnmm1mzZs1UizMkd999N7vuuivnnnvulK9UGyqVcbJy5UqOPvpoPvCBD3DAAQdw+OGH8/vf/x7P8xBC1MVA8+abb3LIIYfw2c9+dqpFGZFXXnmFU045hVNPPZWdd96Z4447jhUrVtTFOSzyyiuv8KEPfYiPfOQjHHLIIRxwwAH8x3/8R+l61xMPP/wwp59+OnfeeScPPvggAJpWP4/6iy++yKJFi/inf/onTjnllLrtj7Vx40ZOOeUULrjgAqLRKA0NDTQ0NEy1WGUUz+WFF15Ic3Mz8Xh8yMa4k4oMGTOdnZ3yoIMOkosXL5a33367vP322+URRxwh29ra5DXXXCOllDIIgimTLwgCuXTpUrnHHntIIYQUQsjHH398yuQZDs/z5H/8x3/I2bNny2OPPVb+y7/8i7zsssvkwoUL5Z577lkXMjuOI7/3ve/JtrY2eeyxx8r//M//lL/97W/lcccdJ1taWuR999031SKWKN5zL7zwgpw5c6ZMJBJy0aJF8qWXXpJSSun7/lSKJ/P5vPz0pz8thRDy2GOPlcuWLZOdnZ1TKtNIXHPNNXKvvfaSd911l3zvvfemWpwyUqmUvOCCC6QQQh533HFy2bJl8o9//KOMx+Pyhz/8oZRSPV9TQahUxsHdd98tDcOQS5cuLW1bv369/MQnPiGFEPKRRx6ZQumkfOedd+S+++4rZ86cKb/73e/KvffeWx5xxBHSdd0plWsgDz30kNxll13kP/3TP8k33nijtH3FihVSCCGvuuqqKZf5j3/8ozz44IPlFVdcIVetWlV6UN966y0phJA/+MEPpnQCMRRLly6VJ5xwgrztttukEEJeffXVJbmnSlbP8+T3vvc9KYSQF198sezq6hr22tbD+XzvvffkdtttJy+//PJB2/szFbLmcjm5++67y1122UX+93//t1y7dq2UUsrVq1fLGTNmyDPOOGNKJxChUhkH3//+92Vra2vpwjmOI6VUM8TDDz9c7rvvvlM6A1u7dq28+uqrSzPU//qv/5JCCPmzn/1symQaih/96Edyr732kps3by5ts21bSinlEUccIT/0oQ9JKad2kHnyySflTTfdVCajlFLef//9cs6cOfKee+6RUtbHQFiU4ZlnnpGtra1SSik/+MEPynnz5smHH364bJ+p4Pnnn5dHHXWU3HPPPUvbli1bJi+88EJ55ZVXyttvv710/aeaJ554QjY0NMhVq1ZJKaX81a9+Jffee2+59957y4997GPyN7/5zZTIVRxznnrqKfnaa6+Vxp4ihx12mDzuuOOkZVlTdq1DpTICxQs48OLcfPPNsrm5WT722GNSSlk2C7znnntkLBaT11133ZCfnSwZLcsq/f/NN9+UJ5xwglywYIHs7u6uqTzD0V/O/rK++eabZe9Lqc7ncccdJ48++mhpmuaUyDgSy5cvl/vuu69saWmR//qv/ypfffVV2dvbW3aMWjKanEuXLpW77bablFLKF198UQoh5IUXXih7enpG/NxkyFi0nr761a/KE044QQoh5G677Sabm5ulEEKeccYZ8rXXXis7xlTI+fzzz0vDMOT9998vb7/9dqlpmjzrrLPkhRdeKOfMmSOFEPIXv/hFzeUbScb+BEEgfd+XX/jCF2Rra2vpfpwKxRIqlSEo+tEHzuyLF+jhhx+WsVhM/uu//mtpW/HCb9q0SX784x+Xs2fPrumsazgZh+Oee+6RiURCXnnllTWTaSjGKmdR6Rx00EHyE5/4RGlbLalExuL1veqqq6QQQh5//PHywgsvlJ/5zGdkW1ubPOecc2oqYyVyFs/Ts88+K5ubm+XGjRullFJ+5jOfkbFYrDS7zuVyky5jUba1a9fKs846Swoh5P/3//1/8qGHHpJr166VGzZskN/5znekpmny7LPPrpl8o8lZ5Pnnn5ezZs2S559/vjzggAPkt771LZnJZKSUUr7yyivyxBNPlDNnzpQrV66cMhmH4lvf+pYUQsj/+Z//qZlcoxEqlQE88cQTcp999pFCCHnCCSfI119/XUo5eGA7+OCD5UEHHSRfffXVQe/fdddd0jAM+d///d9DfnayZOy/bfPmzfKf/umfZDweL80Eaz1Yj0XO/qxbt042NjbK66+/XkpZ24BjpTIWX99///3ynnvukd3d3aVtS5YskZqmyRtvvFFKWZsZ9ljO5b333iv32GOPkgs2nU7LhoYGefzxx8tPf/rT8lOf+lRJ4UyFjHfddZe86KKL5IoVKwa998lPflK2traWBsVa3KOVynnUUUdJTdPkrFmz5FNPPVX23l/+8hfZ3t4uv/SlL0kpq3/Nx/rsFL9/+fLlUggh77333hH3ryWhUunH008/Lffcc0+50047ybPPPlsKIeT3v//9soBicYBbtmyZFELI7373uyUXTfG9N998Uy5YsEBecsklVb/ZKpFxOB599FG5/fbby9NPP72qMlVbzieeeEIKIeSf//znupFxpIfzrbfekrvttps84IADytyOky1nUcbly5fLhoYGuW7dutJ75557rtR1XUYiEXnNNdfIbDY76TIW5UulUoNiVMX9/va3v0khRJkXYLLlLD7HDz30UCl7smiRFL0PmzdvlieddJJcuHBh1a/5RJ6d1157Tc6YMUN+8YtflFKGSmXKef3112UsFpO/+93vpJRSHnPMMXL33XeXK1asGHL/D3/4w3L+/PnygQcekFKWz6j32WcfecEFF0gpq3thxypj/+/PZrMl8/jRRx+VUkr517/+VS5btqwu5Cxy6623SsMwSu4Gz/PkO++8I59//vmqyjkRGaUsn50eeeSR8ogjjqiJUhko5/vf//4R5bz77rvl+973PplMJuVjjz0mjz76aKnrumxpaZG77babXL58uZSyPq73QPdxV1eXbGtrq5mbdqxyfvKTn5RCCPm5z31OSinLBvazzjpL7r333jKVSk2pjP3ZvHmz3HHHHeUHPvABmU6nqypXpYRKpUBRIfSfQRVnzJdffnnpxuk/kKxdu1Y2NTXJI444Qv79738vbf/b3/4mW1pa5LXXXjslMg41WBTlfuONN+TBBx8s99tvP3nttdfKhQsXypkzZ1Y1W20ickop5amnnioXL14spVSusF//+tfyoIMOkgcffLDcsmXLlMs40Pr885//LCORiLziiiuqItt45SzK+uijj8poNCo/8pGPSF3X5VFHHSWfeOIJee+995YGyGrG+6p5Lm+99VYphJA//elPqybfWOXsL9O6detkS0vLIMv5H//4h9x1113l+eefX1XlXI1zecYZZ8h99tlHZrPZ0FKZLO6++275uc99Tt5www3yiSeeKG3vfwGKF+jCCy+UbW1t8g9/+EPZMYoX/4477pA77LCD3HnnneV//Md/yJ/97Gfy1FNPlQsXLpSvvPLKlMo4FGvXrpUXXXRRyaw/7bTTytwkUylnEAQyk8nIefPmyXPOOUc+8sgj8qMf/agUQsiTTjpJrl+/fspl7M/GjRvlAw88II899li59957l+Jr46Vacq5YsULuv//+cq+99pK33HKLXLduXel+Peqoo+TFF188bqVSq3O5adMmef/998v9999fHnvssRPOUqzmM3733XfLefPmyfb2dnnxxRfL6667Tp588slyxowZE3LR1uJcBkEgv/vd70ohRCmzcrIVyzalVDZt2iRPPPFE2djYKA8++GA5Y8YMGYvF5DXXXFNKwRtYJLZ+/XrZ1NQkzzjjjNLg6/t+2YV6/PHH5VFHHSVbW1vlzJkz5f777y+ffPLJKZdxIMuXL5cnnXSS1DRNHnTQQRW7eSZTzrfffls2NDTIgw8+WDY1Ncn3ve99JVddvcj4+OOPy4svvlieddZZsrm5WR5wwAHyueeeG5eM1ZSz6JpxHEc+8cQT8tVXXy0pj+LnxpuiXctz+fnPf16ee+65sqmpSR588MGl+qqplrP/M75ixQp54oknyra2Njlnzhx50EEHlSmCqZJxKG6++WYphCgrzp5Mtiml8stf/lK2t7fLu+66S27cuFFu2bJFXnTRRbK5uVledtllg/YvXtDvfe97UtM0+ZOf/KTsRuv/f9M0ZWdn54QGl1rI2J9HHnlERqNRecstt0xIxlrK+X//939SCCHnzJkzYTlrJeMDDzwgd9ttN3ncccfJ22+/fUIy1krOas9Oa3Uuly5dKpuamuSiRYuq4vKq5TNu27bs7e2VL7/8cl3JWKSoZDo6OuQdd9wxIRknwjalVI499lh5xBFHlG3L5XLywgsvlEII+cc//lFKOXgG4DiO3HXXXeWiRYtKFbbvvPNOmd+zWlletZRRyuql51Zbzv4xnR//+MeDKoXrTcZ33nmnLq/522+/Peia15uMA8/lyy+/XLf35XR7xuuhs8M2oVR835eWZckTTzxRHnXUUaXtRXfBCy+8IA855BC5yy67DLooA1OIr7rqKvmLX/xCHnzwwfLyyy+vWiHZdJCx1nJWK1ulljJWMxW3lnLm8/m6l3G6nMtt7RmfKFudUlm5cqX80pe+JL/4xS/Kb3zjGyWNLqWUH/vYx+T73ve+UkC1/0zgJz/5iRRCyJtvvllKOXhG77quPOyww6Su61IIIefNmycfeuihrVbG6SLndJBxusg5HWScLnJOBxlrxVajVGzbll/72tdkIpGQhx56qNx9992lEELusssupXzvpUuXSiGEvP3220sXsnjR1qxZIz/wgQ/InXfeeVBw8+9//7v8xje+IZuammRzc7P8t3/7t61Wxuki53SQcbrIOR1knC5yTgcZa81WoVQymYy8+uqr5S677CK///3vyzfffFP+/+3dv0s6cRzH8ffnLKKhH0skLhbR1JBEDQ61tvsnCCKE4Niac9AfEDRE0BBBc9HQbENLaxREIOkgDdagvhr6emF9x4+nr+v1GDPiCQ6v607vOp0Orq+vkUqlsLm5iVarhXa7jdXVVWxtbeHp6enX39nb28Ps7Gx4ThP4ekNLpVJ4U77eF/Li2MjSydDI0snQyNLJ0BiFWIzK4+MjFhcXUSwW0Ww2+14rFouYm5sLv419cnIC5xwODg7C85C9I4K7uzsEQYCLiwsA3+c6q9VqeO+dODeydDI0snQyNLJ0MjRGIRaj0u12cXh42Pez3qeHzs7OMDY2Ft67p9lsIpfLIZlM/voiUbVahXMOx8fHf7KRpZOhkaWToZGlk6ExCrEYFeB7zX9e2Nrf30cikeh7suDz8zPm5+exsrISXuR6eXlBqVRCOp1GrVb7s40snQyNLJ0MjSydDI2DFptR+al3AaxcLiOZTIZHDL03+/LyEmtra3DOIZPJIJvNYnx8HJVKBe12O9IHGY1yI0snQyNLJ0MjSydDo28OACzG1tfXbWFhwc7Pz63T6VgikQhfazQadnR0ZA8PD/b29mblctmy2awaiTsZGlk6GRpZOhkavRn2qg3S6+srJicnw4cnAV9HDr3Hqo4ChkaAo5OhEeDoZGgEODoZGn0Khj1qg3R/f28fHx+2sbFhZma1Ws1OT09te3vb6vX6kOu+MDSacXQyNJpxdDI0mnF0MjT6FMtRwb8zere3tzYzM2OpVMpubm5sZ2fH8vm8AbAgCMLfUyN3J0MjSydDI0snQ+NARPdPUfRyuRyWlpZQKBQwNTWF5eVlXF1dDTurD0MjwNHJ0AhwdDI0AhydDI0+xXZU3t/fkclk4JzD9PR0eC+dUcLQCHB0MjQCHJ0MjQBHJ0Ojb7H+9Nfu7q4556xSqdjExMSwc/6LodGMo5Oh0Yyjk6HRjKOTodGnWI9Kt9u1IBjty0YMjWYcnQyNZhydDI1mHJ0MjT7FelRERCRaf2c+RURk4DQqIiLijUZFRES80aiIiIg3GhUREfFGoyIiIt5oVERExBuNioiIeKNRERERbzQqIiLijUZFRES8+QRTmWyQ71qWdAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -100,10 +100,11 @@
    ],
    "source": [
     "# Import the example data\n",
-    "file_url = ('https://datahub.duramat.org/dataset/a49bb656-7b36-'\n",
-    "            '437a-8089-1870a40c2a7d/resource/5059bc22-640d-4dd4'\n",
-    "            '-b7b1-1e71da15be24/download/pvdaq_system_4_2010-2016'\n",
-    "            '_subset_soilsignal.csv')\n",
+    "file_url = ('https://datahub.duramat.org/dataset/'\n",
+    "            'a49bb656-7b36-437a-8089-1870a40c2a7d/'\n",
+    "            'resource/d2c3fcf4-4f5f-47ad-8743-fc29'\n",
+    "            'f1356835/download/pvdaq_system_4_2010'\n",
+    "            '-2016_subset_soil_signal.csv')\n",
     "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
     "\n",
     "try:\n",
@@ -167,7 +168,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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ZxTXq+//upeYC6DD/mOzTL4k3xvIoeYRrKeY2t8yZo8zvRKhVWcuv9BVRr76qzaNTVRUQnU4nNkcVpz9PYayJSm/16tXo378/pk2bhubNmyMwMBAdOnQQr6yqXbvsK0/s7OwwadIk3L9/H2fPni1zuIiICGRlZYmvss7JWCM570bX+qWLxjSb9VWVzWuyO9Dov/8qJajEv6x6UtVVWB4eHrh161ap7hkZGQAAT0/PMsd1dnbGzp07kZqaipSUFDRu3BiNGzdG9+7d4e7uDhcXl3LnrT+a+PPPsm65enryzNIn0KqCnFfHVBUtZraUf/4zGP9UOEOswjsARUVFsLExbf/XEusOr49PmVRAxo4da/aEBUFAdHS0WeN06tQJhw8fRnZ2tsGJ9KSkJLF/RRo1aoRGjRoBgHhEMWzYsArHu3btGgDA3V3B3TojduzYi8GDlfmy8pekfFp5f5TMGT/YFfvSgf5l7/uZrPhyNJv1ldUdxWqRSQXk22+/Nbg81hTmDg8AISEh+OCDD7BmzRrxPpC8vDx8/vnn8Pf3F48SUlNT8fjxY7Ru3brc6UVERKCgoAD/+Mc/xG63b98uVSQePHiAjz76CG5ubujSpYvZuS3prVPA4MFKpzBfk5l7LfoFt/T0q8KTJ0/Ec3RKsuR7GRAQgACLTFldBszciz0aXx+lMKmApKSkWDjGU/7+/ggNDUVERAQyMzPh7e2NdevWISUlxeBoJiwsDEePHgURid0WLlyICxcuwN/fHzVq1MCOHTvw9ddfY968eXj22WfF4T755BPs2LEDAwcORKNGjZCRkYGYmBikpqYiLi4OdnZ2VbKsTDuenblXvLhBTo+fAM4K1A8tHDVpzQWlAyhEVedAAOCLL75AZGQk4uLicO/ePfj4+GDPnj0IDAwsd7wOHTpg+/bt2LVrFwoLC+Hj44MtW7YgNDTUYLgePXrgxIkTWLt2Le7evYtatWrBz88PMTEx6N27tyUXzWRaaRop6XkA31hw+kq9L7ctNN2O732t2FHUpdm90SbqW0XmrQStH62qlaquwgKeXrK7ePFiZGRkIDc3F6dPn0a/fv0Mhjly5IjB0QcABAcHIykpCdnZ2Xj06BFOnjxZqngAT5+B9fXXXyMjIwP5+fm4d+8eDhw4oJrioQS5NsrRVfwltWQxsdQGR6kNWdcSf5d3RSMzDRelShSQr776Cn369IGrqytq1KgBW1vbUi/GmDok8MaOWYCkArJ161YMGDAAf/zxB1555RUUFRVh5MiReOWVV6DT6eDj44N///vfcmdlMtow0EXpCKyKWes9ONZIK03YkgrIggUL4Ofnh+TkZERFRQF4eqnvhg0bcOHCBWRkZKBp06ayBq3OLLEy9ejRQ/ZpVgXe+DG9SSrbyGploy8nSQXk4sWLeOWVV2Bra4saNZ6eh3/y5AkAoEmTJpg4cSIWLVokX0qmCvHx6vuCfP3110pHYArZo3QAmWlx50hSAXF0dBQvd3VxcYG9vb14tzgANGjQANevX5cnIVONmeeUTlDahG+fKB2BKWSA0gFQ+uKE6kZSAWnVqhUuXrwo/t2pUyfExcWhoKAAubm52Lhxo3g3OJOmqvdGLHH4XR0P6c3F75F5UhYGI36wK8L8XDF6sKvScar9xQmSCsiQIUOwc+dO8cGH77zzDo4cOQIXFxe4u7vj+PHjmDlzpqxBmTLUeFitxkwA8NFHXAyqwr50w3+ZciQVkGnTpiE1NVV8sOCAAQNw5MgRjB8/Hq+//jq++eYbhIeHy5mTMdX76HelE1QPHekuUm7dRUe6q3SUUqrbEaVsNxL+9a9/xdKlS/HBBx+gV69eck2W/ZclVkxL7MkrcXSg5JdWyvKq8QhKSxu+f34PHLv19F+mLNXdic6YGv30009KR5BdfaUDMM2TVECICKtXr4afnx/c3NyM3oWuv7yXMUtoWMXzG7ghtYrnaHmnVXgkpEVqPKKsKpK28tOnT8eSJUvQqVMnjB49GnXr1pU7F4N2H6pYFb7j94YxxUkqIOvWrcOwYcOwZcsWufMwBWn5NzYskZ0LuPqpcZ1VYyZLkdSElZOTgxdeeEHuLIwxxv5LCzsvkgrI888/j++/50sgqiMtrNRaU/KnCVj5/uOrdAKmJ6mArFy5EqdOncL777+Pu3fVdy22tdLKpbzFafE3O6rCtuEe4v+bRuxTMIn2DB+uvs9drnVRa+u05EeZXLt2DZGRkahfvz5q1aoFJycng5ezs7PcWRkrl5aOjnx9eTeaaZ+kk+jDhg2DIAhyZ2EqZe7J5IWd1PngRWY9tLanbq0kFZDY2FiZY7CyaPFKoFdeCcbMc1WTWYvvD7NOF+b0Q/s5BwBUnyux+E50xhgAbTUBqpFDNbx3WtIif/HFF+X2FwQBDg4OaNiwIXx9fcWHLjL10/qek9L5lZ4/U051fPqGpCUODw8Xz4GUvASxeHdBEODk5ISIiAhMnz69klEZsy6n3uqCi78DbZ9RLgM3AbLKkNSEde7cOfj4+KBXr17YunUrzp8/j/PnzyMhIQFBQUHo1KkTEhMTsXXrVvj6+iIiIgKrVq2SO3u1pMVLea1FWe+91PfvmWeewdj4swj46CxvxJkmSSogS5cuRYMGDXDo0CEMGTIEHTp0QIcOHTB06FAcOnQI7u7uiI6OxuDBg3Hw4EEEBARg5cqVcmdnDAAXQKZO1WGnQFIB2bFjBwYNGmS0nyAIePnll7Ft27anM7CxwbBhw/Dbb79JT8mYQpopHYAxFZNUQIqKinDlypUy+1++fBlFRUXi3/b29nBwcDBp2nl5eZgxYwY8PT2h0+ng7++PgwcPmjRufHw8fH194eDgAHd3d4wbNw537twxOmx0dDTatGkDBwcHtGjRAsuXLzdpHkpIWRhs8FKauXtWWt4T+1YF7zfTDrm/n+Eq/+5IKiAvv/wyVq5ciRUrViA3N1fsnpubi+XLl+PTTz/FwIEDxe4nT56Et7e3SdMODw/HkiVLMGrUKCxbtgy2trbo378/vvvuu3LHW7VqFUaOHIl69ephyZIlGD9+POLj4/H8888bZASA1atX47XXXkO7du2wfPlydOvWDVOmTMGiRYvMeBeYmqipwDImlyNKB6iApKuwli1bhqtXr2LKlCmYNm0aPDyePtcnIyMD+fn58PPzw7JlywA8LSo6nQ5vv/12hdM9ffo04uPjsXjxYkybNg0AEBYWhvbt22P69Ok4ceKE0fHy8/Mxa9YsBAYG4uDBg+KVYN27d8fAgQPx2WefYfLkyQCePkn4nXfeQXBwMBISEgAA48ePR1FREebOnYsJEyZU+983MXYp6tG/t0fPVRdMnkZHAOdlzsVYdROkdIAKSDoCqVevHhITE5GQkIAxY8agVatWaNWqFcaMGYOEhAScOHEC9erVAwA4ODjgs88+w8iRIyucbkJCAmxtbTFhwgSxm4ODA8aNG4eTJ08iLS3N6HgXLlzA/fv3MWLECINHrAwYMAC1a9dGfHy82O3w4cO4e/cuJk6caDCNN998E48ePcLeveo+ZFRK48aNzRp+Jx8JmOQvJf5l1kVK823xo+lYlX+PJN/5IggChg4diqFDh8oWJjk5GS1btoSTk5NBdz8/PwBPLx/28vIqNV5eXh4AQKfTleqn0+mQnJyMoqIi2NjYIDk5GQDQtWtXg+G6dOki9h89erTRfHl5eeK8ACA7O9uMpVO3PgBMO9PE5JSo8g0EY+VR1aNMMjIyxOaw4vTd0tPTjY7XokULCIKAxMREg+5XrlzB7du3kZOTg3v37onzsLW1Rf369Q2GtbOzg6ura5nzAIAFCxbA2dlZfBkrZlr1GW/IGIDz57nhkZnOpCOQpk2bwsbGBpcvX0bNmjXRtGnTCp/GKwgCrl69alaYnJwco4890V/BlZOTY3Q8Nzc3DB8+HOvWrUObNm0wZMgQ3Lp1C5MnT0bNmjXx5MkTcdycnBzY2dkZnY6Dg0OZ8wCAiIgIg3M52dnZVlVEGBu06SZSOnZUOoamVae7+00qID179oQgCLCxsTH4W246nc6giUhPfxWVsSYqvdWrVyMnJwfTpk0TT8CPHj0azZs3x7Zt21C7dm1xGvn5+UanoT/hXxZ7e3t+rhdjjP2XSQWk5OPbLfU4dw8PD9y6datU94yMDACAp6dnmeM6Oztj586dSE1NRUpKCho3bozGjRuje/fucHd3h4uLiziPwsJCZGZmGjRj5efn4+7du+XOgzFTfPnlXoSGaqdJsDrtMSvhrZl78ZGVNhGr6hxIp06d8Msvv5Q6OZ2UlCT2r0ijRo0QGBiIxo0b4/79+zh79ixeeOEFg3kAwJkzZwzGO3PmDIqKikyaR3VQ0QZl//79Zk3v3XetYwM1a1bFy/Gvs1UQhGnGDqUDWJDkhylu2rTJoNuBAwcQGBgIf39/8R4Qc4WEhKCwsBBr1qwRu+Xl5eHzzz+Hv7+/eL4hNTUVly9frnB6ERERKCgowD/+8Q+xW+/evVGvXr1SD3dctWoVHB0dERxsnXsKcnvjSKFZw68vsFCQKraxyHj3D5+t2hyMqYGky3inT58OR0dH8d6O69evY8iQIXB1dYWnpyfefvtt6HQ6g/s5TOHv74/Q0FBEREQgMzMT3t7eWLduHVJSUhAdHS0OFxYWhqNHjxo8Sn7hwoW4cOEC/P39UaNGDezYsQNff/015s2bh2ef/d+3W6fTYe7cuXjzzTcRGhqKfv364fjx41i/fj3mz58v3r/CmDmGDQvGP7+3jqMsVnnVpVlQUgE5f/48/vWvf4l/f/HFF7C1tUVycjLc3NwwYsQIfPrpp2YXEP20IiMjERcXh3v37sHHxwd79uxBYGBgueN16NAB27dvx65du1BYWAgfHx9s2bIFoaGhpYadOHEiatasiQ8//BC7du2Cl5cXli5diqlTp5qd15pU9BgQc78U1vIlspblYExukgpIVlYWXF1dxb/37duHPn36wM3NDQDQp08ffPXVV5ICOTg4YPHixVi8eHGZwxw5cqRUt+DgYLOan8aPH4/x48dLicgYY2ax1l+qlHQOxMPDA5cuXQLw9Aqps2fPom/fvmL/hw8fipf8MsYYs06SjkAGDRqE5cuXIzc3F0lJSbC3t8eQIUPE/ufPn0ezZvxLCowxZs0kHSbMmzcPQ4cORVxcHDIzMxEbG4sGDRoAeHp3dkJCgsERCWNMO/h8jzysscmqJElHILVr18aGDRvK7Hfz5k04OjpWKhhjjDF1k/w03rLY2NjA2dlZ7skyxhhTGT7TzaqMtTeNLOsG9G789F+tqQ7NLUqzxvVf9iMQVn3Exu5FeDhvePQGDQrGIKVDMFaF+AiESTan4qfJMFat9VE6gIVxAWFm6WHm8NbYNGKNTRHMMqz9h9q4gDCzbLDyLwRjzHSSzoEcO3as3P6CIMDBwQENGzY0+hO1jDFWHVnbI00kFZCgoCCTf5GwRYsWiIqKwogRI6TMilkBa/jC8AMVGStNUgHZv38/ZsyYgby8PIwfPx7e3t4AgF9//RVr166FTqfDu+++ixs3bmD16tV49dVXYWtri5CQEFnDM8YYU47kAuLg4ICkpCTY2dkZ9Js4cSKCgoJw6tQpLFq0CG+88Qa6du2KRYsWcQFhjFU71nz0Kukk+oYNG/Dqq6+WKh7A08exjxo1CuvWrRP/Hj16NC5evFi5pIyxKmOtGzwmL0kF5NGjR/jjjz/K7J+RkYGHDx+Kf7u4uMDW1lbKrBhjzKpMtqLiLKmA9O7dGx999BH27NlTqt/u3buxbNky9O7dW+x27tw5NGnSRHJIxpjlWcPFDlqwW+kAMpJ0DmTFihXo1asXBg0ahL/85S9o3rw5AODq1au4desWGjdujOXLlwMAcnNzkZqaitdee02+1Ew1+szci4O84WGsWpJUQBo1aoSffvoJn376KQ4cOIAbN24AANq0aYO33noLr7/+OmrVqgXg6TmQffv2yZeYqcqvSgdgTAOs9US65IcpOjo64u2338bbb78tZx6mAe/7ALN+VDoFY0xp/CgTZrZXX+UmK8bMtWd0Y0zv3Rh7RjdWOopsJB+BHDhwANHR0bh27Rru3bsHIjLoLwgCrl69WumAjKmRtT2Sglle+/bt0b690inkJamALF68GDNnzkSDBg3g5+eHDh06yJ2LMcaYykkqIPrLdPft24eaNWvKnYkxxpgGSDoHcu/ePYSEhFikeOTl5WHGjBnw9PSETqeDv78/Dh48aNK4hw4dQq9eveDm5gYXFxf4+fkhLi6u1HCCIBh9LVy4UO7FYVaEm6wYMyTpCMTPzw9XrlyROwsAIDw8HAkJCXjrrbfQokULxMbGon///jh8+DCee+65MsfbtWsXBg8ejG7dumHOnDkQBAFbtmxBWFgY7ty5g3/84x8Gw/fp0wdhYWEG3Tp37myRZWJMi/g8D6uIpAKycuVKvPTSS+jatSteffVV2cKcPn0a8fHxWLx4MaZNmwYACAsLQ/v27TF9+nScOHGizHFXrFgBDw8PfPvtt7C3twcAvP7662jdujViY2NLFZCWLVti9OjRsmVnjLHqRlIT1ogRI1BQUID/+7//g7OzM9q1awcfHx+DV8eOHc2ebkJCAmxtbTFhwgSxm4ODA8aNG4eTJ08iLS2tzHGzs7NRt25dsXgAQI0aNeDm5gadTmd0nJycHOTm5pqdkxmyxhukqis+4mDmkFRA6tWrhxYtWiAwMBC+vr6oX78+XF1dDV716tUze7rJyclo2bIlnJycDLr7+fkBePpMrbIEBQXh559/RmRkJH777TdcvXoVc+fOxZkzZzB9+vRSw8fGxqJWrVrQ6XRo27YtNm7cWGG+vLw8ZGdnG7wYY6y6ktSEdeTIEZljPJWRkWH0J3D13dLT08scNzIyEtevX8f8+fMxb948AE/vlt+6dSsGDRpkMGz37t0xfPhwNG3aFOnp6fjkk08watQoZGVl4e9//3uZ81iwYAGioqKkLBpjjFkdVd2JnpOTY9AEpefg4CD2L4u9vT1atmyJkJAQbNq0CevXr0fXrl0xevRonDp1ymDYxMRETJ06FS+//DLeeOMNnD17Fu3bt8esWbPKnUdERASysrLEV3lNataOmzoYYyYdgRw7dgwAEBgYaPB3RfTDm0qn0yEvL69Ud/15irLOZQDApEmTcOrUKfzwww+wsXlaF4cPH4527dph6tSpSEpKKnNcOzs7TJo0SSwmZV3tZW9vb7TAMcZYdWRSAQkKCoIgCMjJyYGdnZ34d1mICIIgoLCw0KwwHh4euHXrVqnuGRkZAABPT0+j4+Xn5yM6OhrTp08XiwcA1KxZEy+99BJWrFiB/Px8o7+gqOfl5QUA+PPPP83KzBhj1ZVJBeTw4cMAIG6A9X/LrVOnTjh8+DCys7MNTqTrjx46depkdLy7d++ioKDAaMF68uQJioqKKixm165dAwC4u7tLTM8YY9WLQCWfgqigpKQkBAQEGNwHkpeXh/bt28PV1VU8l5GamorHjx+jdevWAIDCwkK4ubmhfv36+Omnn8RC9/DhQ7Rp0wa1a9fGpUuXAAC3b98uVSQePHiAzp07IysrC7du3Sr3SKW47OxsODs7Iysrq9SVY9VB8ct3+ZyI9eDPtXozZ7sm+Wm8luDv74/Q0FBEREQgMzMT3t7eWLduHVJSUhAdHS0OFxYWhqNHj4pPALa1tcW0adPw7rvvIiAgAGFhYSgsLER0dDRu3ryJ9evXi+N+8skn2LFjBwYOHIhGjRohIyMDMTExSE1NRVxcnMnFgzHGqjuTCsjYsWPNnrAgCAYbfVN98cUXiIyMRFxcHO7duwcfHx/s2bOnwhPy77zzDpo2bYply5YhKioKeXl58PHxQUJCAoYNGyYO16NHD5w4cQJr167F3bt3UatWLfj5+SEmJsbgd9xZxXjvlLHqzaQmrCZNmpR70tzohAVBPK9grap7ExazTiWfLMA7CtWL7E1YKSkpcuRijDFmRVR1IyFjTHl8xMFMxQWEMcaYJCY1YdnY2MDGxgaPHz+GnZ0dbGxsKjwnIggCCgoKZAnJGGNMfUwqIP/+978hCAJq1Khh8DdjjLHqy6QCMmfOnHL/ZowxVv3wORDGGGOSSC4g2dnZiIqKgp+fHxo0aIAGDRrAz88P7733Hv/QEmOMVQOSCkh6ejo6d+6MqKgoPHz4ED169ECPHj3w6NEjzJkzB76+vuITdBljjFknSc/CmjFjBn7//Xfs2bMH/fv3N+j31VdfITQ0FDNnzsS6detkCckYY0x9JB2B7N+/H2+99Vap4gEAL730EqZMmYJ9+/ZVOhxjTHnnzp1TOgJTKUkF5NGjR2jQoEGZ/Z955hk8evRIcijGmHoMji/9I2+MARILSNu2bbFp0ybk5+eX6vfkyRNs2rQJbdu2rXQ4xpgyPg2yVToC0wDJ50BGjBgBPz8/TJw4ES1btgQAXLlyBZ9++il+/PFHbN68WdagjLGq8+KLLwJH9lY8IKvWJBWQ0NBQPHr0CDNnzsQbb7wh3pVORKhfvz5iYmIQEhIia1DGGGPqIvkXCcPDwzF69GicOXMGN27cAAA0btwYXbt2FR95whhjzHpVaktfo0YNBAQEICAgQK48jDHGNELSSfRz585h06ZNBt0OHDiAwMBA+Pv7Y9myZbKEY4wxpl6SCsj06dMNTpJfv34dQ4YMwfXr1wEAb7/9NtasWSNPQsYYY6okqYCcP38ezz33nPj3F198AVtbWyQnJyMpKQkhISH49NNPZQvJGGNMfSQVkKysLLi6uop/79u3D3369IGbmxsAoE+fPvjtt9/kScgYY0yVJBUQDw8PXLp0CQCQkZGBs2fPom/fvmL/hw8fwsaGnxTPmLW4ffu20hGYCkm6CmvQoEFYvnw5cnNzkZSUBHt7ewwZMkTsf/78eTRr1ky2kIwxZT374WmkLAxWOgZTGUkFZN68ebh9+zbi4uLg4uKC2NhY8dlY2dnZSEhIwJtvvilrUMYYY+oiqZ2pdu3a2LBhA+7du4fr168jNDTUoN/Nmzcxd+5cSYHy8vIwY8YMeHp6QqfTwd/fHwcPHjRp3EOHDqFXr15wc3ODi4sL/Pz8EBcXZ3TY6OhotGnTBg4ODmjRogWWL18uKS9j1oqPOFhFZD9RYWNjA2dnZ9SsWVPS+OHh4ViyZAlGjRqFZcuWwdbWFv3798d3331X7ni7du1C3759kZ+fjzlz5mD+/PnQ6XQICwvD0qVLDYZdvXo1XnvtNbRr1w7Lly9Ht27dMGXKFCxatEhSZsYYq44EIiKlQ+idPn0a/v7+WLx4MaZNmwYAyM3NRfv27VG/fn2cOHGizHH79u2Ln3/+GdeuXYO9vT0AoKCgAK1bt0atWrVw/vx5AEBOTg68vLwQEBCAPXv2iOOPHj0aO3bsQFpaGurWrWtS3uzsbDg7OyMrKwtOTk5SF5sx1Woy838PVOQjkurBnO2aqi6VSkhIgK2tLSZMmCB2c3BwwLhx43Dy5EmkpaWVOW52djbq1q0rFg/g6aNW3NzcoNPpxG6HDx/G3bt3MXHiRIPx33zzTTx69Ah79/ITSBljzBSqKiDJyclo2bJlqarn5+cHoPxfRgsKCsLPP/+MyMhI/Pbbb7h69Srmzp2LM2fOYPr06QbzAICuXbsajN+lSxfY2NiI/Y3Jy8tDdna2wYsxxqorVT02NyMjAx4eHqW667ulp6eXOW5kZCSuX7+O+fPnY968eQAAR0dHbN26FYMGDTKYh62tLerXr28wvp2dHVxdXcudx4IFCxAVFWXWMjHGmLVS1RFITk6OQROUnoODg9i/LPb29mjZsiVCQkKwadMmrF+/Hl27dsXo0aNx6tQpg3nY2dkZnYaDg0O584iIiEBWVpb4Kq9JjTHGrJ2qjkB0Oh3y8vJKdc/NzRX7l2XSpEk4deoUfvjhB/Eu+OHDh6Ndu3aYOnUqkpKSxGkY+yle/XzKm4e9vb3RAscYY9WRqo5APDw8kJGRUaq7vpunp6fR8fLz8xEdHY3g4GCDR6jUrFkTL730Es6cOSMWDQ8PDxQWFiIzM7PUNO7evVvmPBir7j78kC8wYYZUVUA6deqEX375pdTJaf3RQ6dOnYyOd/fuXRQUFKCwsLBUvydPnqCoqEjsp5/GmTNnDIY7c+YMioqKypwHY9Xdcn4cFitBVQUkJCQEhYWFBr8lkpeXh88//xz+/v7w8vICAKSmpuLy5cviMPXr14eLiwu2b99u0Dz18OFD7N69G61btxabpnr37o169eph1apVBvNetWoVHB0dERzM17ozpvc2H5CzcqjqHIi/vz9CQ0MRERGBzMxMeHt7Y926dUhJSUF0dLQ4XFhYGI4ePQr9PZC2traYNm0a3n33XQQEBCAsLAyFhYWIjo7GzZs3sX79enFcnU6HuXPn4s0330RoaCj69euH48ePY/369Zg/fz7q1atX5cvNmFpNmRKMJTO56YoZp6oCAjz9carIyEjExcXh3r178PHxwZ49exAYGFjueO+88w6aNm2KZcuWISoqCnl5efDx8UFCQgKGDRtmMOzEiRNRs2ZNfPjhh9i1axe8vLywdOlSTJ061ZKLxhhjVkVVjzLRGn6UCasO+HEm1YtmH2XCGGNMO7iAMMYYk4QLCGOMMUm4gDDGGJOECwhjjDFJuIAwxhiThAsIY8xkTfimQlYMFxDGGGOScAFhjJUrfrCr0hGYSnEBYYyVKyAgQOkITKW4gDDGGJOECwhjjDFJuIAwxhiThAsIY4wxSbiAMMYYk4QLCGOMMUm4gDDGGJOECwhjjDFJuIAwxszCz8NielxAGGOMScIFhDFWoZSFwUpHYCrEBYQxxpgkXEAYY4xJwgWEMcaYJKorIHl5eZgxYwY8PT2h0+ng7++PgwcPVjhekyZNIAiC0VeLFi0Mhi1ruIULF1pqsRhjzOrUUDpASeHh4UhISMBbb72FFi1aIDY2Fv3798fhw4fx3HPPlTneRx99hIcPHxp0u3HjBt5991307du31PB9+vRBWFiYQbfOnTvLsxCMWaF1L9XGznRgkKfSSZhqkIokJSURAFq8eLHYLScnh5o3b07dunUze3pz584lAJSYmGjQHQC9+eablc6blZVFACgrK6vS02KMMTUwZ7umqiashIQE2NraYsKECWI3BwcHjBs3DidPnkRaWppZ09u4cSOaNm2K7t27G+2fk5OD3NzcSmVmjLHqSlUFJDk5GS1btoSTk5NBdz8/PwDAuXPnzJrWpUuX8OqrrxrtHxsbi1q1akGn06Ft27bYuHGj5NyMMVYdqeocSEZGBjw8PEp113dLT083eVobNmwAAIwaNapUv+7du2P48OFo2rQp0tPT8cknn2DUqFHIysrC3//+9zKnmZeXh7y8PPHv7Oxsk/Mwxpi1UVUBycnJgb29fanuDg4OYn9TFBUVIT4+Hp07d0abNm1K9U9MTDT4e+zYsejSpQtmzZqF8PBw6HQ6o9NdsGABoqKiTMrAGGPWTlVNWDqdzmAPX09/nqKsDXtJR48exa1bt4wefRhjZ2eHSZMm4f79+zh79myZw0VERCArK0t8mXtOhjHGrImqjkA8PDxw69atUt0zMjIAAJ6epl0/uGHDBtjY2GDkyJEmz9vLywsA8Oeff5Y5jL29vdEjJMYYq45UVUA6deqEw4cPIzs72+BEelJSkti/Inl5edi6dSuCgoJMLjgAcO3aNQCAu7u7yeMQEQA+F8IYsx767Zl++1Yui19UbIZTp06Vug8kNzeXvL29yd/fX+x248YNunTpktFpbNu2jQBQdHS00f6ZmZmlumVnZ1Pz5s3Jzc2N8vLyTM6blpZGAPjFL37xy+peaWlpFW4DVXUE4u/vj9DQUERERCAzMxPe3t5Yt24dUlJSEB0dLQ4XFhaGo0ePGq2QGzZsgL29PYYNG2Z0Hp988gl27NiBgQMHolGjRsjIyEBMTAxSU1MRFxcHOzs7k/N6enoiLS0NderUgSAIpfpnZ2fDy8sLaWlppS5NVgstZAS0kVMLGQFt5NRCRkAbOc3NSER48OCBSS04qiogAPDFF18gMjIScXFxuHfvHnx8fLBnzx4EBgZWOG52djb27t2L4OBgODs7Gx2mR48eOHHiBNauXYu7d++iVq1a8PPzQ0xMDHr37m1WVhsbGzRs2LDC4ZycnFS7culpISOgjZxayAhoI6cWMgLayGlOxrK2nyUJZGw3nskiOzsbzs7OyMrKUu3KpYWMgDZyaiEjoI2cWsgIaCOnJTOq6jJexhhj2sEFxILs7e0xe/ZsVV/6q4WMgDZyaiEjoI2cWsgIaCOnJTNyExZjjDFJ+AiEMcaYJFxAGGOMScIFhDHGmCRcQBhjjEnCBYQxxjRMyeuguIAwxfAFgEyNsrKylI5gks2bNwOA0ccoVRUuIGZITk5GamqqwQqmto3g48ePlY5QoWvXruHx48eq/z368+fP49dff8XNmzfFbmr7vHfu3ImJEyeKT5MuKipSOJFxmzZtQp06dUr9mJuabNu2DX379sXSpUuRkpKidJwyxcfHo3nz5hg5ciS+++47RbNwATHBpUuX8Nxzz+H5559Hx44d4efnh61bt6KgoACCIKhio3LlyhV06dIFr732mtJRyvTjjz8iODgYAwcORNOmTREUFITExERVvH/F/fjjj+jTpw8GDBiALl26oGPHjvj444/Fz1stDh48iCFDhiAuLg579uwB8PT5bGqSnJwMf39/jB07FsHBwap83Ed6ejqCg4MRFhYGOzs7ODo6wtHRUelYpejfyzFjxqBOnTpwcHAw+gN8VcrkZ5dXU3/88Qd17tyZunfvTjExMRQTE0MBAQHk4uJCs2fPJiKioqIixfIVFRVRQkICtWzZkgRBIEEQ6MiRI4rlMaagoIA+/vhjcnd3p549e9K///1vmjhxInl5eVHr1q1Vkzc/P5/mz59PLi4u1LNnT1q+fDlt2rSJgoKCyMnJibZt26Z0RCL63/p29uxZcnV1JZ1OR/7+/nTu3DkiIiosLFQyHhERPX78mP72t7+RIAjUs2dP2rlzJ/3xxx9KxzJq9uzZ1KZNG9qwYQOlpqYqHaeUrKwsCgsLI0EQKCgoiHbu3El79+4lBwcH+uCDD4jo6XdMCVxAKhAfH081atSghIQEsdvNmzdpxIgRJAgCHTp0SMF0RFevXqX27duTq6srzZs3j9q2bUsBAQH05MkTRXMVt3//fmrWrBmNHTuWLl++LHZPTEwkQRBoxowZqsi7d+9e8vX1pbfeeot++eUX8Uv566+/kiAI9J///EfRnYWSEhISqG/fvvTpp5+SIAg0a9YsMbOSOQsKCmj+/PkkCAKNHz+ebt++Xebnq/T7mZqaSg0aNKApU6aU6l6cUjkfPXpELVq0oGbNmtGqVavoxo0bRER07do1qlu3Lg0dOlTRHQYuIBVYtGgROTs7ix9Sfn4+ET3d+/Pz86P27dsrumd148YNmjVrlrj3+cknn5AgCLR27VrFMpW0ZMkSatOmjcGPeel/uCsgIID69OlDRMpvTL777jv68MMPS/3o2Pbt26l+/fq0efNmIlI+p37+SUlJ5OzsTEREL7zwAnl4eNDBgwcNhlHKmTNnqEePHtS6dWux286dO2nMmDE0ffp0iomJMevH2yzl2LFj5OjoSL/88gsREX3xxRfUtm1batu2LQ0ePJg2btyoWDb9NufEiRN04cIFcduj9+yzz1JQUBDl5uYq9nlzAfkv/YdV8oNYunQp1alThw4fPkxEZLCHt3nzZrK3t6f333/f6LhVlTE3N1f8/5UrV6hv377UsGFDunPnjkXzGFM8Y/GcV65cMehP9PS9DAoKoueee45ycnIUy1me48ePU/v27cnJyYnmzJlDP/30E927d89gGkplTEhIIG9vbyIiSk5OJkEQaMyYMfTnn3+WO15V5dQfGf3zn/+kvn37kiAI5O3tTXXq1CFBEGjo0KF04cIFg2lUdcYzZ85QjRo1aPv27RQTE0M2NjYUEhJCY8aMofr165MgCPT5559bNJspOYsrKiqiwsJCevPNN8nZ2VlcH5UoItW+gOjbvUvuses/jIMHD5K9vT3NmTNH7Kb/kH///XcaPnw4ubu7W3RvqqyMZdm8eTPpdDqaPn26xTKVZG5GfYHp3LkzjRgxQuxmaabk1H++M2bMIEEQqFevXjRmzBgaN24cubi40CuvvKJoRv37dPr0aapTpw6lp6cTEdG4cePI3t5e3Gt+9OiRIjn1+W7cuEEhISEkCAL17t2b9u/fTzdu3KBbt27R3LlzycbGhkJDQxXJqHfmzBlyc3Oj0aNHU8eOHSkyMpIePHhAREQ//vgj9evXj1xdXcv8Ce2qymlMZGQkCYJAu3btsmCy8lXrAnLs2DFq164dCYJAffv2pYsXLxJR6Q2Zr68vde7cmX766adS/Tds2EA1atSgVatWGR23qjIW75aZmUljx44lBwcHcQ/PkhtnczIWl5aWRrVq1aIFCxYQkeVPBJqaU//39u3bafPmzXTnzh2xW0REBNnY2NDixYuJSP49Z3Peyy1btlDLli3FJtTs7GxydHSkXr160d/+9jf6v//7P7G4yM3UnBs2bKDw8HBKTEws1W/UqFHk7OwsbgCV+u706NGDbGxsyM3NjU6cOGHQ7+uvv6Z69erR1KlTicgyR0rmfn/0GY4fP06CINCWLVvKHd6Sqm0BOXnyJLVu3ZqaNGlCoaGhJAgCLVq0yOBkn36DtnPnThIEgebNmyc2tej7XblyhRo2bEgTJkyQfeUyJWNZvvnmG/rLX/5CQ4YMkTWTnBmPHTtGgiDQgQMHLJrR3JzlfRF//fVX8vb2po4dOxo0HVZlRn2+48ePk6OjI6WlpYn9Ro4cSba2tlSzZk2aPXs2PXz4UNaMpubUZ8zKyip1Tkk/3KlTp0gQBIOj+6rMqP8O79+/X7yCUX+koW9RyMzMpBdffJG8vLxk/7xNzVmWCxcuUN26dWny5MlExAWkSl28eJHs7e3pyy+/JCKiv/71r9SiRQtKTEw0Onz//v3J09OTdu/eTUSGe8vt2rWjsLAwIpL3QzQ3Y/H5P3z4UDzE/eabb4iI6OjRo7Rz505Zc0rJqLdy5UqqUaOG2GRQUFBAV69epTNnzsiasbI5iQz3PLt160YBAQGyb1BKZgwMDCw3Y3x8PLVq1Yru379Phw8fpueee45sbW3JycmJvL296fjx40Qk/4ZF6ntZsgn49u3b5OLiYpGmVnMzjho1igRBoNdff52IyGADHhISQm3btqWsrCzFcxaXmZlJjRs3pueff56ys7Nlz2aKallA9Bv/4ntG+r3hKVOmiCtK8Y3GjRs3qHbt2hQQEEA//PCD2P3UqVPk5OREUVFRimQ0tnHQ5758+TL5+vpShw4dKCoqiry8vMjV1VW2q8Yqk5GIaODAgdS9e3cietqctX79eurcuTP5+vrS3bt3ZclY2ZwljyoPHDhANWvWpLfeeku2fOZm1Of85ptvyM7OjgYMGEC2trbUo0cPOnbsGG3ZskXcGMp9bk7O93LlypUkCAJ99tlnimQsnictLY2cnJxKHRH//PPP1Lx5cxo9erTshViO93Lo0KHUrl07evjwIR+BWEJ8fDy9/vrrtHDhQjp27JjYvfibrf8wxowZQy4uLrRjxw6Daeg/6NjYWGrUqBE1bdqUPv74Y1q7di0NHDiQvLy86Mcff1Q0ozE3btyg8PBw8fB80KBBBs0dSmUsKiqiBw8ekIeHB73yyit06NAhevnll0kQBHrxxRfp5s2bkjLKnbO49PR02r17N/Xs2ZPatm0rng9TMmNiYiL5+PhQmzZtaMWKFZSWliauqz169KDx48dXqoBY6r38/fffafv27eTj40M9e/as1NWCcn6/4+PjycPDg+rVq0fjx4+n999/n1566SWqW7dupZtZLfFeFhUV0bx580gQBPEqx6ouIlZbQH7//Xfq168f1apVi3x9falu3bpkb29Ps2fPFi97K3nT1c2bN6l27do0dOhQcUNbWFho8KEcOXKEevToQc7OzuTq6ko+Pj703XffKZ6xpOPHj9OLL75INjY21LlzZ5Obaqoq42+//UaOjo7k6+tLtWvXplatWolNbWrKeeTIERo/fjyFhIRQnTp1qGPHjvT9998rmlHfvJKfn0/Hjh2jn376SSwU+vEqc1m0Jd/LN954g0aOHEm1a9cmX19f8f4lJTMW/34nJiZSv379yMXFherXr0+dO3c22OArmdOYpUuXkiAIBjc6VyWrLSDr1q2jevXq0YYNGyg9PZ3u3r1L4eHhVKdOHZo4cWKp4fUf3vz588nGxobWrFljsGIV/39OTg798ccfkjcklspY3KFDh8jOzo5WrFihyozffvstCYJA9evXr3RGS+bcvXs3eXt7U1BQEMXExKguoyX2OC31XiYkJFDt2rXJ39+/0s1Wlvx+5+Xl0b179+j8+fOVymiJnHr6gpKRkUGxsbGVzimV1RaQnj17UkBAgEG3R48e0ZgxY0gQBNq7dy8Rla7s+fn51Lx5c/L39xfvTr169apBO6VcV1tZMiORPJfFyp2x+PmX1atXl7q7Vo05r169KstnLmfG3377rdTnLRdLvpfnz59X5Xppie+3pXMq/bQBIissIIWFhZSbm0v9+vWjHj16iN31h/1nz56lLl26ULNmzUp9ACUv250xYwZ9/vnn5OvrS1OmTJHtxqzqnlHOK0YsmVOuS2AtmfHx48eyZLR0Ti28l3LeeKmVnJWl6QJy6dIlmjp1Kk2ePJneeecdsVITEQ0ePJhatWolnuwsXuHXrFlDgiDQ0qVLiaj0nvqTJ0/o2WefJVtbWxIEgTw8PGj//v2cUcGMWsmphYxayamFjFrKaQmaLCB5eXk0bdo00ul01LVrV2rRogUJgkDNmjUTr6dOSEggQRAoJiZG/ND0H1BKSgo9//zz1LRp01InH3/44Qd65513qHbt2lSnTh366KOPOKOCGbWSUwsZtZJTCxm1lNOSNFdAHjx4QLNmzaJmzZrRokWL6MqVK1RYWEiHDh0iT09P+utf/0qPHz+mgoIC6tixIwUGBlJKSkqp6cyZM4dcXFzENkiipx/epEmTxIfS6W9w44zKZNRKTi1k1EpOLWTUUk5L01wBuX79OjVt2pRef/11un//vkG/119/ndzd3cU7mePi4kgQBFqyZInYbqiv9MnJyWRjY0Pbt28nov+1TZ4+fVp8Fg1nVDajVnJqIaNWcmoho5ZyWprmCkhRURGtWbPGoJv+Sp4tW7ZQjRo1xOfZ3L9/n4YOHUrPPPNMqZtyTp8+TYIg0Lp16zijSjNqJacWMmolpxYyaimnpWmugBD9r0qXPOm0ePFisrW1NfjVu7S0NGrQoAG1a9dOPAF169YtmjRpEjVu3Jh+//13zqjijFrJqYWMWsmphYxaymlJmiwgJelPTk2dOpWeeeYZcU9A/8EeOHCAfH19SRAE6tSpE3Xr1o1q1qxJUVFRVFBQUCXXU3PG6pVTCxm1klMLGbWUU04CERGsRNeuXdGkSRMkJCSgsLAQtra2Yr87d+4gOjoaV69eRXZ2NqZOnYpu3bpxRo1m1EpOLWTUSk4tZNRSTlkoXcHkkpmZSTqdTvyhH6KnewT6n/dUA84oHy3k1EJGIm3k1EJGIu3klIuN0gVMLhcuXEBubi6effZZAMDvv/+OjRs3ol+/frh9+7bC6Z7ijPLRQk4tZAS0kVMLGQHt5JSL5gsI/bcF7vvvv4ezszM8PT1x5MgRTJw4EWPHjgURwcbGRhyOM2o3o1ZyaiGjVnJqIaOWcsqu6g52LGvo0KHUvHlzGj9+PNWpU4datGhBX3/9tdKxDHBG+WghpxYyEmkjpxYyEmknp1ysooDk5ORQp06dSBAEcnJyEp8toyacUT5ayKmFjETayKmFjETaySknq7kKa8aMGRAEAVFRUbC3t1c6jlGcUT5ayKmFjIA2cmohI6CdnHKxmgJSVFQEGxt1n9LhjPLRQk4tZAS0kVMLGQHt5JSL1RQQxhhjVav6lErGGGOy4gLCGGNMEi4gjDHGJOECwhhjTBIuIIwxxiThAsIYY0wSLiCMMcYk4QLCGGNMEi4gjDHGJOECwhhjTBIuIIwxxiT5fxoXrDQcgFGUAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -202,7 +203,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -251,7 +252,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -300,8 +301,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\n"
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/filtering.py:812: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
+      "  warnings.warn(\n",
+      "/home/mspringe/.conda-envs/rdtools3-nb/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:02:16] WARNING: /workspace/src/learner.cc:872: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n",
+      "  warnings.warn(smsg, UserWarning)\n"
      ]
     }
    ],
@@ -321,6 +324,35 @@
    "execution_count": 9,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
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+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v2.34.0\n",
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+       "*/\n",
+       "/*! For license information please see plotly.min.js.LICENSE.txt */\n",
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r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontShadow:n.fontShadow,fontLineposition:n.fontLineposition,fontTextcase:n.fontTextcase},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function W(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,z=e.height||_,B=Math.round(A+2*N),q=Math.round(z+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(O+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):\"paper\"===gt?\"y\"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+O+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(O,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+O+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",W(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void D();var C=p.getPointAtLength(0),O=p.getPointAtLength(.1);f=Math.atan2(C.y-O.y,C.x-O.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var P=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(P.y-I.y,P.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function D(){t.style(\"stroke-dasharray\",\"0px,100px\")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},79180:function(t,e,r){\"use strict\";var n=r(23816),i=r(42300);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(13916),supplyLayoutDefaults:r(45216),includeBasePlot:r(36632)(\"annotations\"),calcAutorange:r(90272),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(26828)}},45899:function(t,e,r){\"use strict\";var n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return 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0!==t.zLabelVal&&(a.z=t.zLabelVal)),e.appendArrayPointValue(a,r,i),a},e.appendArrayPointValue=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],u=a(l);if(void 0===t[u]){var c=o(n.nestedProperty(e,l).get(),r);void 0!==c&&(t[u]=c)}}},e.appendArrayMultiPointValues=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],u=a(l);if(void 0===t[u]){for(var c=n.nestedProperty(e,l).get(),f=new Array(r.length),h=0;h<r.length;h++)f[h]=o(c,r[h]);t[u]=f}}};var i={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y unified\":!0};e.isUnifiedHover=function(t){return\"string\"==typeof t&&!!l[t]},e.isXYhover=function(t){return\"string\"==typeof t&&!!s[t]}},83292:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(49760),o=r(3400),s=o.pushUnique,l=o.strTranslate,u=o.strRotate,c=r(95924),f=r(72736),h=r(72213),p=r(43616),d=r(76308),v=r(86476),g=r(54460),y=r(33816).zindexSeparator,m=r(24040),x=r(10624),b=r(92456),_=r(77864),w=r(31140),T=b.YANGLE,k=Math.PI*T/180,A=1/Math.sin(k),M=Math.cos(k),S=Math.sin(k),E=b.HOVERARROWSIZE,L=b.HOVERTEXTPAD,C={box:!0,ohlc:!0,violin:!0,candlestick:!0},O={scatter:!0,scattergl:!0,splom:!0};function P(t,e){return t.distance-e.distance}function I(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var l=e.target;o.throttle(t._fullLayout._uid+b.HOVERID,b.HOVERMINTIME,(function(){!function(t,e,r,a,l){r||(r=\"xy\"),\"string\"==typeof r&&(r=r.split(y)[0]);var u,f,p,b=Array.isArray(r)?r:[r],_=t._fullLayout,w=_.hoversubplots,T=_._plots||[],k=T[r],M=_._has(\"cartesian\"),S=e.hovermode||_.hovermode,L=\"x\"===(S||\"\").charAt(0),D=\"y\"===(S||\"\").charAt(0);if(M&&(L||D)&&\"axis\"===w)for(var R=b.length,V=0;V<R;V++)if(T[u=b[V]]){f=g.getFromId(t,u,\"x\"),p=g.getFromId(t,u,\"y\");var W=(L?f:p)._subplotsWith;if(W&&W.length)for(var Y=0;Y<W.length;Y++)s(b,W[Y])}if(k&&\"single\"!==w){var X=k.overlays.map((function(t){return t.id}));b=b.concat(X)}for(var Z=b.length,K=new Array(Z),J=new Array(Z),$=!1,Q=0;Q<Z;Q++)if(T[u=b[Q]])$=!0,K[Q]=T[u].xaxis,J[Q]=T[u].yaxis;else{if(!_[u]||!_[u]._subplot)return void o.warn(\"Unrecognized subplot: \"+u);var tt=_[u]._subplot;K[Q]=tt.xaxis,J[Q]=tt.yaxis}if(S&&!$&&(S=\"closest\"),-1===[\"x\",\"y\",\"closest\",\"x unified\",\"y unified\"].indexOf(S)||!t.calcdata||t.querySelector(\".zoombox\")||t._dragging)return v.unhoverRaw(t,e);var et=_.hoverdistance;-1===et&&(et=1/0);var rt=_.spikedistance;-1===rt&&(rt=1/0);var nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt,gt=[],yt=[],mt={hLinePoint:null,vLinePoint:null},xt=!1;if(Array.isArray(e))for(S=\"array\",at=0;at<e.length;at++)(st=t.calcdata[e[at].curveNumber||0])&&(lt=st[0].trace,\"skip\"!==st[0].trace.hoverinfo&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0)));else{var bt,_t,wt=t.calcdata.slice();for(wt.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),ot=0;ot<wt.length;ot++)st=wt[ot],\"skip\"!==(lt=st[0].trace).hoverinfo&&x.isTraceInSubplots(lt,b)&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var Tt=l.getBoundingClientRect();bt=e.clientX-Tt.left,_t=e.clientY-Tt.top,_._calcInverseTransform(t);var kt=o.apply3DTransform(_._invTransform)(bt,_t);if(bt=kt[0],_t=kt[1],bt<0||bt>K[0]._length||_t<0||_t>J[0]._length)return v.unhoverRaw(t,e)}else bt=\"xpx\"in e?e.xpx:K[0]._length/2,_t=\"ypx\"in e?e.ypx:J[0]._length/2;if(e.pointerX=bt+K[0]._offset,e.pointerY=_t+J[0]._offset,nt=\"xval\"in e?x.flat(b,e.xval):x.p2c(K,bt),it=\"yval\"in e?x.flat(b,e.yval):x.p2c(J,_t),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ft=S,x.isUnifiedHover(ft)&&(ft=ft.charAt(0)),\"splom\"===lt.type?ut=b[ct=0]:(ut=x.getSubplot(lt),ct=b.indexOf(ut)),dt={cd:st,trace:lt,xa:K[ct],ya:J[ct],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},_[ut]&&(dt.subplot=_[ut]._subplot),_._splomScenes&&_._splomScenes[lt.uid]&&(dt.scene=_._splomScenes[lt.uid]),\"array\"===ft){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ft=\"closest\"):(ft=\"\",\"xval\"in a&&(ht=a.xval,ft=\"x\"),\"yval\"in a&&(pt=a.yval,ft=ft?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ht=r,pt=n):(ht=nt[ct],pt=it[ct]);if(vt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ht,pt,ft,{finiteRange:!0,hoverLayer:_._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>vt&&(gt.splice(0,vt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var c=lt._module.hoverPoints(dt,ht,pt,\"closest\",{hoverLayer:_._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=rt}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=Et(p),(!mt.vLinePoint||mt.vLinePoint.spikeDistance>f.spikeDistance)&&(mt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=Et(g),(!mt.hLinePoint||mt.hLinePoint.spikeDistance>f.spikeDistance)&&(mt.hLinePoint=f))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Lt={fullLayout:_,container:_._hoverlayer,event:e},Ct=t._spikepoints,Ot={vLinePoint:mt.vLinePoint,hLinePoint:mt.hLinePoint};t._spikepoints=Ot;var Pt=function(){var t=gt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var It=S.charAt(0),Dt=(\"x\"===It||\"y\"===It)&&gt[0]&&O[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var zt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Dt);mt.hLinePoint=Et(zt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Dt);mt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=v.unhoverRaw(t,e);return!M||null===mt.hLinePoint&&null===mt.vLinePoint||U(Ct)&&j(t,mt,Lt),Ft}if(M&&U(Ct)&&j(t,mt,Lt),x.isXYhover(ft)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=C[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,_),q(\"y\",Bt,_));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=C[t.trace.type]?I(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Wt=[],Yt=H(t),Xt=G(t);for(at=0;at<gt.length;at++){var Zt=gt[at],Kt=x.makeEventData(Zt,Zt.trace,Zt.cd);if(!1!==Zt.hovertemplate){var Jt=!1;Zt.cd[Zt.index]&&Zt.cd[Zt.index].ht&&(Jt=Zt.cd[Zt.index].ht),Zt.hovertemplate=Jt||Zt.trace.hovertemplate||!1}if(Zt.xa&&Zt.ya){var $t=Zt.x0+Zt.xa._offset,Qt=Zt.x1+Zt.xa._offset,te=Zt.y0+Zt.ya._offset,ee=Zt.y1+Zt.ya._offset,re=Math.min($t,Qt),ne=Math.max($t,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);Kt.bbox={x0:re+Xt,x1:ne+Xt,y0:ie+Yt,y1:ae+Yt}}Zt.eventData=[Kt],Wt.push(Kt)}t._hoverdata=Wt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(_.plot_bgcolor||d.background,_.paper_bgcolor),le=z(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:_._hoverlayer,outerContainer:_._paper.node(),commonLabelOpts:_.hoverlabel,hoverdistance:_.hoverdistance}),ue=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=F(t,e),v=t.anchor,k=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);u=t.crossPos+Math.min(M,S),c=t.crossPos+Math.max(M,S)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],L=M[M.length-1],C=S[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var O=g[s];for(l=O.length-1;l>=0;l--){var P=O[l],I=P.datum;I.offset=P.dp,I.del=P.del}}}(ue,oe,_,le.commonLabelBoundingBox),B(ue,oe,_._invScaleX,_._invScaleY)),l&&l.tagName){var ce=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Wt);h(n.select(l),ce?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:K,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(m.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;c+=y,f+=y,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var D=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||b.HOVERFONT,k=e.fontSize||b.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,C=e.fontTextcase||i.font.textcase,O=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,D=t[0],z=D.xa,F=D.ya,B=a.charAt(0),N=B+\"Label\",j=D[N];if(void 0===j&&\"multicategory\"===z.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=W(r,v),q=V.top,H=V.width,G=V.height,Y=void 0!==j&&D.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(Y){var 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ht,pt,dt,vt,gt=h.select(\"g.legend\"),yt=W(r,gt.node()),mt=yt.width+2*L,xt=yt.height+2*L,bt=tt[0],_t=(bt.x0+bt.x1)/2,wt=(bt.y0+bt.y1)/2,Tt=!(m.traceIs(bt.trace,\"bar-like\")||m.traceIs(bt.trace,\"box-violin\"));\"y\"===B?Tt?(pt=wt-L,ht=wt+L):(pt=Math.min.apply(null,tt.map((function(t){return Math.min(t.y0,t.y1)}))),ht=Math.max.apply(null,tt.map((function(t){return Math.max(t.y0,t.y1)})))):pt=ht=o.mean(tt.map((function(t){return(t.y0+t.y1)/2})))-xt/2,\"x\"===B?Tt?(dt=_t+L,vt=_t-L):(dt=Math.max.apply(null,tt.map((function(t){return Math.max(t.x0,t.x1)}))),vt=Math.min.apply(null,tt.map((function(t){return Math.min(t.x0,t.x1)})))):dt=vt=o.mean(tt.map((function(t){return(t.x0+t.x1)/2})))-mt/2;var kt,At,Mt=z._offset,St=F._offset;return vt+=Mt-mt,pt+=St-xt,kt=(dt+=Mt)+mt<H&&dt>=0?dt:vt+mt<H&&vt>=0?vt:Mt+mt<H?Mt:dt-_t<_t-vt+mt?H-mt:0,kt+=L,At=(ht+=St)+xt<G&&ht>=0?ht:pt+xt<G&&pt>=0?pt:St+xt<G?St:ht-wt<wt-pt+xt?G-xt:0,At+=L,gt.attr(\"transform\",l(kt-1,At-1)),gt}var 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B=t.xa._offset+(t.x0+t.x1)/2,N=t.ya._offset+(t.y0+t.y1)/2,U=Math.abs(t.x1-t.x0),V=Math.abs(t.y1-t.y0),X=W(r,w.node()),Z=X.width/i._invScaleX,K=X.height/i._invScaleY;t.ty0=(q-X.top)/i._invScaleY,t.bx=Z+2*L,t.by=Math.max(K+2*L,z),t.anchor=\"start\",t.txwidth=Z,t.tx2width=D,t.offset=0;var J,$,Q=(Z+E+L+D)*i._invScaleX;if(s)t.pos=B,J=N+V/2+Q<=G,$=N-V/2-Q>=0,\"top\"!==t.idealAlign&&J||!$?J?(N+=V/2,t.anchor=\"start\"):t.anchor=\"middle\":(N-=V/2,t.anchor=\"end\"),t.crossPos=N;else{if(t.pos=N,J=B+U/2+Q<=H,$=B-U/2-Q>=0,\"left\"!==t.idealAlign&&J||!$)if(J)B+=U/2,t.anchor=\"start\";else{t.anchor=\"middle\";var tt=Q/2,et=B+tt-H,rt=B-tt;et>0&&(B-=et),rt<0&&(B+=-rt)}else B-=U/2,t.anchor=\"end\";t.crossPos=B}w.attr(\"text-anchor\",t.anchor),D&&I.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",l(B,N)+(s?u(T):\"\"))})),{hoverLabels:Et,commonLabelBoundingBox:Q}}function R(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=V(t.name,t.nameLength));var u=r.charAt(0),c=\"x\"===u?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[u+\"Label\"]===i?l=t[c+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),a&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var h=t.hovertemplateLabels||t;t[u+\"Label\"]!==i&&(h[u+\"other\"]=h[u+\"Val\"],h[u+\"otherLabel\"]=h[u+\"Label\"]),l=(l=o.hovertemplateString(f,h,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(D,(function(e,r){return s=V(r,t.nameLength),\"\"}))}return[l,s]}function F(t,e){var r=0,n=t.offset;return e&&(n*=-S,r=t.offset*M),{x:r,y:n}}function B(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var 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b=y+v.textShiftX,_=m+t.ty0-t.by/2+L,w=t.textAlign||\"auto\";\"auto\"!==w&&(\"left\"===w&&\"start\"!==h?(c.attr(\"text-anchor\",\"start\"),b=x?-t.bx/2-t.tx2width/2+L:-t.bx-L):\"right\"===w&&\"end\"!==h&&(c.attr(\"text-anchor\",\"end\"),b=x?t.bx/2-t.tx2width/2-L:t.bx+L)),c.call(f.positionText,a(b),o(_)),t.tx2width&&(r.select(\"text.name\").call(f.positionText,a(v.text2ShiftX+v.alignShift*L+y),o(m+t.ty0-t.by/2+L)),r.select(\"rect\").call(p.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function N(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var u=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function c(e,r,n){var i=u(r,n);l(i)&&(t[e]=i)}if(c(\"hoverinfo\",\"hi\",\"hoverinfo\"),c(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),c(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),c(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),c(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),c(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),c(\"fontWeight\",\"htw\",\"hoverlabel.font.weight\"),c(\"fontStyle\",\"hty\",\"hoverlabel.font.style\"),c(\"fontVariant\",\"htv\",\"hoverlabel.font.variant\"),c(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),c(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:g.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:g.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var f=g.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+f+\" / -\"+g.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" ± \"+f,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var h=g.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+h+\" / -\"+g.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" ± \"+h,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33816),i=r(31780).templatedArray;r(36208),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},63556:function(t,e,r){\"use 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n=r(25376),i=r(22548);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top left\",\"top center\",\"top right\"],editType:\"legend\"},editType:\"legend\"},editType:\"legend\"}},65196:function(t){\"use strict\";t.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:\"#808BA4\",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},77864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(31780),o=r(45464),s=r(3800),l=r(64859),u=r(42451);function c(t,e,r,c){var f=e[t]||{},h=a.newContainer(r,t);function p(t,e){return i.coerce(f,h,s,t,e)}var d=i.coerceFont(p,\"font\",r.font);if(p(\"bgcolor\",r.paper_bgcolor),p(\"bordercolor\"),p(\"visible\")){for(var v,g=function(t,e){var r=v._input,n=v;return i.coerce(r,n,o,t,e)},y=r.font||{},m=i.coerceFont(p,\"grouptitlefont\",y,{overrideDflt:{size:Math.round(1.1*y.size)}}),x=0,b=!1,_=\"normal\",w=(r.shapes||[]).filter((function(t){return t.showlegend})),T=c.concat(w).filter((function(e){return t===(e.legend||\"legend\")})),k=0;k<T.length;k++)if((v=T[k]).visible){var A=v._isShape;(v.showlegend||v._dfltShowLegend&&!(v._module&&v._module.attributes&&v._module.attributes.showlegend&&!1===v._module.attributes.showlegend.dflt))&&(x++,v.showlegend&&(b=!0,(!A&&n.traceIs(v,\"pie-like\")||!0===v._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",m)),(!A&&n.traceIs(v,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(v.fill))&&(_=u.isGrouped({traceorder:_})?\"grouped+reversed\":\"reversed\"),void 0!==v.legendgroup&&\"\"!==v.legendgroup&&(_=u.isReversed({traceorder:_})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",b&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||f.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,L,C=\"h\"===p(\"orientation\"),O=\"paper\"===p(\"yref\"),P=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?O?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):O?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",P?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"indentation\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",I),p(\"yanchor\",L),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",C?\"left\":\"top\");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var 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P=S,I=E;S=k?i.constrain(S,0,d.width-h._width):P,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var D=h._effHeight;T&&(D=h._height),U.attr({width:h._width-_,height:D-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:D-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function O(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,O=m.legend,P=m._fullInput;if(P&&P._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom 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n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var O=[],P=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):y?(O=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(O=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:m?P=[\"hoverClosestPie\"]:A?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"],v&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(P=[]),!v&&!b||M||(O=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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L(D),L(O.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},26680:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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h=u(n.d2p(r._rl[0])),p=u(n.d2p(r._rl[1]));if(t.select(\"rect.\"+v.slideBoxClassName).attr(\"x\",h).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMinClassName).attr(\"width\",h),t.select(\"rect.\"+v.maskMaxClassName).attr(\"x\",p).attr(\"width\",n._width-p),\"match\"!==a.rangemode){var d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:L+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},97944:function(t,e,r){\"use strict\";var n=r(79811),i=r(72736),a=r(74636),o=r(84284).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",!0),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var u=o[s];u._id=s+o._id,u._height=(t.height-r.b-r.t)*u.thickness,u._offsetShift=Math.floor(u.borderwidth/2)}}t._rangeSliderData=i},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,O=r(73696),P=r(39172).redrawReglTraces,I=r(83280),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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0!==h?h:J(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function q(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function H(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=q(t[0])?0:t[0][0][0],n=r,i=q(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(q(t[o]))e.push(H(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function W(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(O(t),P(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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n=r(13916),i=r(25376),a=r(52904).line,o=r(98192).u,s=r(92880).extendFlat,l=r(31780).templatedArray,u=(r(36208),r(45464)),c=r(21776).ye,f=r(97728);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\",\"between\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},x0shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},x1shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},y0shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},y1shift:{valType:\"number\",dflt:0,min:-1,max:1,editType:\"calc\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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f=s?o.extractPathCoords(s,l?a.paramIsY:a.paramIsX):[r,i],h=n.aggNums(Math.max,null,f),p=n.aggNums(Math.min,null,f),d=p<0?Math.abs(p)+u:u,v=h>0?h+u:u;return{ppad:u,ppadplus:c?d:v,ppadminus:c?v:d}}return{ppad:u}}function c(t,e,r){var n,i,s=\"x\"===t._id.charAt(0)?\"x\":\"y\",l=\"category\"===t.type||\"multicategory\"===t.type,u=0,c=0,f=l?t.r2c:t.d2c;if(\"scaled\"===e[s+\"sizemode\"]?(n=e[s+\"0\"],i=e[s+\"1\"],l&&(u=e[s+\"0shift\"],c=e[s+\"1shift\"])):(n=e[s+\"anchor\"],i=e[s+\"anchor\"]),void 0!==n)return[f(n)+u,f(i)+c];if(e.path){var h,p,d,v,g=1/0,y=-1/0,m=e.path.match(a.segmentRE);for(\"date\"===t.type&&(f=o.decodeDate(f)),h=0;h<m.length;h++)void 0!==(p=r[m[h].charAt(0)].drawn)&&(!(d=m[h].substr(1).match(a.paramRE))||d.length<p||((v=f(d[p]))<g&&(g=v),v>y&&(y=v)));return y>=g?[g,y]:void 0}}t.exports=function(t){var e=t._fullLayout,r=n.filterVisible(e.shapes);if(r.length&&t._fullData.length)for(var o=0;o<r.length;o++){var u,f,h=r[o];h._extremes={};var p=i.getRefType(h.xref),d=i.getRefType(h.yref);\"paper\"!==h.xref&&\"domain\"!==p&&(f=c(u=i.getFromId(t,h.xref),h,a.paramIsX))&&(h._extremes[u._id]=i.findExtremes(u,f,s(h))),\"paper\"!==h.yref&&\"domain\"!==d&&(f=c(u=i.getFromId(t,h.yref),h,a.paramIsY))&&(h._extremes[u._id]=i.findExtremes(u,f,l(h)))}}},85448:function(t){\"use strict\";t.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},43712:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(46056),s=r(65152);function l(t,e,r){function a(r,i){return 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T=m+\"0\",k=m+\"1\",A=t[T],M=t[k];t[T]=g(t[T],!0),t[k]=g(t[k],!0),\"pixel\"===b?(a(T,0),a(k,10)):(i.coercePosition(e,_,a,w,T,.25),i.coercePosition(e,_,a,w,k,.75)),e[T]=y(e[T]),e[k]=y(e[k]),t[T]=A,t[k]=M}if(\"pixel\"===b){var S=t[x];t[x]=g(t[x],!0),i.coercePosition(e,_,a,w,x,.25),e[x]=y(e[x]),t[x]=S}}c&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"]);var E,L,C=\"line\"===u;if(c&&(E=a(\"label.texttemplate\")),E||(L=a(\"label.text\")),L||E){a(\"label.textangle\");var O=a(\"label.textposition\",C?\"middle\":\"middle center\");a(\"label.xanchor\"),a(\"label.yanchor\",function(t,e){return t?\"bottom\":-1!==e.indexOf(\"top\")?\"top\":-1!==e.indexOf(\"bottom\")?\"bottom\":\"middle\"}(C,O)),a(\"label.padding\"),n.coerceFont(a,\"label.font\",r.font)}}}t.exports=function(t,e){a(t,e,{name:\"shapes\",handleItemDefaults:l})}},60728:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],O=1;O<C.length;O+=2){var P=C[O],I=C[O+1];x=Math.min(x,P),b=Math.max(b,P),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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t?\"bottom\":-1!==e.indexOf(\"top\")?\"top\":-1!==e.indexOf(\"bottom\")?\"bottom\":\"middle\"}(o,u)),r(\"newshape.label.padding\"),i.coerceFont(r,\"newshape.label.font\",e.font)}r(\"activeshape.fillcolor\"),r(\"activeshape.opacity\")}},9856:function(t,e,r){\"use strict\";var n=r(21984),i=r(7e3),a=i.CIRCLE_SIDES,o=i.SQRT2,s=r(5840),l=s.p2r,u=s.r2p,c=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function h(t,e){return Math.abs(t-e)<=1e-6}function p(t,e){var r=e[1]-t[1],n=e[2]-t[2];return Math.sqrt(r*r+n*n)}e.writePaths=function(t){var e=t.length;if(!e)return\"M0,0Z\";for(var r=\"\",n=0;n<e;n++)for(var i=t[n].length,a=0;a<i;a++){var o=t[n][a][0];if(\"Z\"===o)r+=\"Z\";else for(var s=t[n][a].length,l=0;l<s;l++){var u=l;\"Q\"===o||\"S\"===o?u=f[l]:\"C\"===o&&(u=c[l]),r+=t[n][a][u],l>0&&l<s-1&&(r+=\",\")}}return r},e.readPaths=function(t,e,r,i){var o,s,c,f=n(t),h=[],p=-1,d=0,v=0,g=function(){s=d,c=v};g();for(var y=0;y<f.length;y++){var 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},93940:function(t,e,r){\"use strict\";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],O=n[l][1],P=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),O=v(y.xaxis,O),P=v(y.xaxis,P),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(O+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-O+P-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0-(d.x0shift||0)),f(\"x1\",v.x1-(d.x1shift||0)),f(\"y0\",v.y0-(d.y0shift||0)),f(\"y1\",v.y1-(d.y1shift||0));break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var u=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(u(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,u,c,f,h,p,d,v=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),m=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),b=t._fullLayout._size,_=o(m,r.x0shift),w=o(m,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(m?\"domain\"===g?l=function(t){return m._offset+m._length*t}:(s=e.shapePositionToRange(m),l=function(t){return m._offset+m.r2p(s(t,!0))}):l=function(t){return b.l+b.w*t},x?\"domain\"===y?c=function(t){return x._offset+x._length*(1-t)}:(u=e.shapePositionToRange(x),c=function(t){return x._offset+x.r2p(u(t,!0))}):c=function(t){return b.t+b.h*(1-t)},\"path\"===v)return m&&\"date\"===m.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(c=e.decodeDate(c)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,l,c);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);f=A+r.x0+_,h=A+r.x1+w}else f=l(r.x0)+_,h=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=c(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=c(r.y0)+T,d=c(r.y1)+k;if(\"line\"===v)return\"M\"+f+\",\"+p+\"L\"+h+\",\"+d;if(\"rect\"===v)return\"M\"+f+\",\"+p+\"H\"+h+\"V\"+d+\"H\"+f+\"Z\";var S=(f+h)/2,E=(p+d)/2,L=Math.abs(S-f),C=Math.abs(E-p),O=\"A\"+L+\",\"+C,P=S+L+\",\"+E;return\"M\"+P+O+\" 0 1,1 \"+S+\",\"+(E-C)+O+\" 0 0,1 \"+P+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},89861:function(t,e,r){\"use strict\";var 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strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){\"use strict\";var n=r(60876);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var 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A=_.offsetLeft||0,M=_.offsetTop||0;h.left-=A,h.right-=A,h.top-=M,h.bottom-=M,_.selection.each((function(){var t=u.bBox(this);s.bBoxIntersect(h,t,f)&&(k=Math.max(k,c*(t[_.side]-h[o])+f))})),k=Math.min(T,k),y._titleScoot=Math.abs(k)}if(k>0||T<0){var E={left:[-k,0],right:[k,0],top:[0,-k],bottom:[0,k]}[_.side];a.attr(\"transform\",l(E[0],E[1]))}}}function ht(t,e){t.text(e).on(\"mouseover.opacity\",(function(){n.select(this).transition().duration(h.SHOW_PLACEHOLDER).style(\"opacity\",1)})).on(\"mouseout.opacity\",(function(){n.select(this).transition().duration(h.HIDE_PLACEHOLDER).style(\"opacity\",0)}))}if(at.call(ut,ot),et&&(S?at.on(\".opacity\",null):(ht(at,x),E=!0),at.call(f.makeEditable,{gd:t}).on(\"edit\",(function(e){void 0!==b?o.call(\"_guiRestyle\",t,m,e,b):o.call(\"_guiRelayout\",t,m,e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ut)})).on(\"input\",(function(t){this.text(t||\" \").call(f.positionText,w.x,w.y)})),N)){if(N&&!S){var 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},73712:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},91384:function(t,e,r){\"use strict\";var n=r(3400),i=r(51272),a=r(88444),o=r(73712).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:u}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},14420:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=r(72736),u=r(31780).arrayEditor,c=r(84284).LINE_SPACING,f=r(73712),h=r(37400);function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function v(t,e,r,n,i,a,o,s){e.active=o,u(t.layout,f.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(f.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",f.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,u=i.active,c=i.buttons[u]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(m,i,c,t).call(M,i,h,p),s.ensureSingle(e,\"text\",f.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(f.arrowSymbol[i.direction])})).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var u=n.select(this);u.call(m,o,s,t).call(M,o,b),u.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(v(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(v(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),u.on(\"mouseover\",(function(){u.call(w)})),u.on(\"mouseout\",(function(){u.call(T,o),c.call(_,o)}))})),c.call(_,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(c.size()?function(t,e,r,n,i,a){var o,s,l,u=i.direction,c=\"up\"===u||\"down\"===u,h=i._dims,p=i.active;if(c)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var v=\"left\";s.isRightAnchor(e)&&(r.lx-=h,v=\"right\"),s.isCenterAnchor(e)&&(r.lx-=h/2,v=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[v]||0),r:h*({left:1,center:.5}[v]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function A(t){return f.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select(\".\"+f.itemRectClassName),a=t.select(\".\"+f.itemTextClassName),s=e.borderwidth,u=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?h.heights[u]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[u]),height:d});var v=e.font.size*c,g=(l.lineCount(a)-1)*v/2;l.positionText(a,f.textOffsetX,d/2-g+f.textOffsetY),p?r.y+=h.heights[u]+r.yPad:r.x+=h.widths[u]+r.xPad,r.index++}function S(t,e){t.attr(f.menuIndexAttrName,e||\"-1\").selectAll(\"g.\"+f.dropdownButtonClassName).remove()}t.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[f.name]);function a(e){i.autoMargin(t,A(e))}var o=e._menulayer.selectAll(\"g.\"+f.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",\"pointer\"),o.exit().each((function(){n.select(this).selectAll(\"g.\"+f.headerGroupClassName).each(a)})).remove(),0!==r.length){var l=o.selectAll(\"g.\"+f.headerGroupClassName).data(r,p);l.enter().append(\"g\").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,\"g\",f.dropdownButtonGroupClassName,(function(t){t.style(\"pointer-events\",\"all\")})),c=0;c<r.length;c++){var m=r[c];k(t,m)}var x=\"updatemenus\"+e._uid,b=new h(t,u,x);l.enter().size()&&(u.node().parentNode.appendChild(u.node()),u.call(S)),l.exit().each((function(t){u.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?u:null;i.manageCommandObserver(t,e,e.buttons,(function(n){v(t,e,e.buttons[n.index],r,a,b,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,u,b,e),d(u,e)&&y(t,r,u,b,e)):y(t,r,null,null,e)}))}}},76908:function(t,e,r){\"use strict\";var n=r(73712);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(88444),supplyLayoutDefaults:r(91384),draw:r(14420)}},37400:function(t,e,r){\"use strict\";t.exports=s;var n=r(33428),i=r(76308),a=r(43616),o=r(3400);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,O=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,I=d+v,D=g;I+O>l&&(I=l-O);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:O,height:P}),this._vbarYMin=D+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+O+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var 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l,u=s.aggNums(Math.min,null,t),c=s.aggNums(Math.max,null,t);if(\"category\"===e.type||\"multicategory\"===e.type)return{start:u-.5,end:c+.5,size:Math.max(1,Math.round(o)||1),_dataSpan:c-u};if(a||(a=e.calendar),l=\"log\"===e.type?{type:\"linear\",range:[u,c]}:{type:e.type,range:s.simpleMap([u,c],e.c2r,0,a),calendar:a},W.setConvert(l),o=o&&d.dtick(o,l.type))l.dtick=o,l.tick0=d.tick0(void 0,l.type,a);else{var f;if(r)f=(c-u)/r;else{var h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),v=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(v,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}W.autoTicks(l,f)}var g,y=l.dtick,m=W.tickIncrement(W.tickFirst(l),y,\"reverse\",a);if(\"number\"==typeof y)m=function(t,e,r,n,a){var o=0,s=0,l=0,u=0;function c(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||u++,c(e[f])&&o++,c(e[f]+r.dtick/2)&&s++;var h=e.length-u;if(l===h&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||c(n)||c(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(m,t,l,u,c),g=m+(1+Math.floor((c-m)/y))*y;else for(\"M\"===l.dtick.charAt(0)&&(m=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=W.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:a.exactMonths>.8?t=W.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=S;var l=W.tickIncrement(t,r);if(l<=n)return l}return t}(m,t,y,u,a)),g=m;g<=c;)g=W.tickIncrement(g,y,!1,a);return{start:e.c2r(m,0,a),end:e.c2r(g,0,a),size:y,_dataSpan:c-u}},W.prepMinorTicks=function(t,e,r){if(!e.minor.dtick){delete t.dtick;var n,a=e.dtick&&i(e._tmin);if(a){var o=W.tickIncrement(e._tmin,e.dtick,!0);n=[e._tmin,.99*o+.01*e._tmin]}else{var l=s.simpleMap(e.range,e.r2l);n=[l[0],.8*l[0]+.2*l[1]]}if(t.range=s.simpleMap(n,e.l2r),t._isMinor=!0,W.prepTicks(t,r),a){var u=i(e.dtick),c=i(t.dtick),f=u?e.dtick:+e.dtick.substring(1),h=c?t.dtick:+t.dtick.substring(1);u&&c?nt(f,h)?f===2*A&&h===2*M&&(t.dtick=A):f===2*A&&h===3*M?t.dtick=A:f!==A||(e._input.minor||{}).nticks?it(f/h,2.5)?t.dtick=f/2:t.dtick=f:t.dtick=M:\"M\"===String(e.dtick).charAt(0)?c?t.dtick=\"M1\":nt(f,h)?f>=12&&2===h&&(t.dtick=\"M3\"):t.dtick=e.dtick:\"L\"===String(t.dtick).charAt(0)?\"L\"===String(e.dtick).charAt(0)?nt(f,h)||(t.dtick=it(f/h,2.5)?e.dtick/2:e.dtick):t.dtick=\"D1\":\"D2\"===t.dtick&&+e.dtick>1&&(t.dtick=1)}t.range=e.range}void 0===e.minor._tick0Init&&(t.tick0=e.tick0)},W.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),t.minor&&\"array\"!==t.minor.tickmode||\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,W.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=W.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Bbm]/.test(a)?(e=T,o&&(n?at(t.dtick)<1:t.dtick<k)&&(t.dtick=\"M1\")):/%[q]/.test(a)?(e=b,o&&(n?at(t.dtick)<3:t.dtick<_)&&(t.dtick=\"M3\")):/%[Yy]/.test(a)&&(e=y,o&&(n?at(t.dtick)<12:t.dtick<m)&&(t.dtick=\"M12\")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0),t._definedDelta=e}(t),t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),yt(t)},W.calcTicks=function(t,e){for(var r,n,a,o,l=t.type,u=t.calendar,c=t.ticklabelstep,f=\"period\"===t.ticklabelmode,h=t.range[0]>t.range[1],p=!t.ticklabelindex||s.isArrayOrTypedArray(t.ticklabelindex)?t.ticklabelindex:[t.ticklabelindex],d=s.simpleMap(t.range,t.r2l,void 0,void 0,e),v=d[1]<d[0],I=Math.min(d[0],d[1]),z=Math.max(d[0],d[1]),R=Math.max(1e3,t._length||0),F=[],B=[],N=[],j=[],U=[],V=t.minor&&(t.minor.ticks||t.minor.showgrid),q=1;q>=(V?0:1);q--){var H=!q;q?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var G=q?t:s.extendFlat({},t,t.minor);if(H?W.prepMinorTicks(G,t,e):W.prepTicks(G,e),\"array\"!==G.tickmode)if(\"sync\"!==G.tickmode){var Y=Q(d),X=Y[0],Z=Y[1],K=i(G.dtick),J=\"log\"===l&&!(K||\"L\"===G.dtick.charAt(0)),$=W.tickFirst(G,e);if(q){if(t._tmin=$,$<X!==v)break;\"category\"!==l&&\"multicategory\"!==l||(Z=v?Math.max(-.5,Z):Math.min(t._categories.length-.5,Z))}var tt,et,rt=null,nt=$;q&&(K?et=t.dtick:\"date\"===l?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(et=T*t.dtick.substring(1)):et=t._roughDTick,tt=Math.round((t.r2l(nt)-t.r2l(t.tick0))/et)-1);var it=G.dtick;for(G.rangebreaks&&G._tick0Init!==G.tick0&&(nt=Ft(nt,t),v||(nt=W.tickIncrement(nt,it,!v,u))),q&&f&&(nt=W.tickIncrement(nt,it,!v,u),tt--);v?nt>=Z:nt<=Z;nt=W.tickIncrement(nt,it,v,u)){if(q&&tt++,G.rangebreaks&&!v){if(nt<X)continue;if(G.maskBreaks(nt)===D&&Ft(nt,G)>=z)break}if(N.length>R||nt===rt)break;rt=nt;var at={value:nt};q?(J&&nt!==(0|nt)&&(at.simpleLabel=!0),c>1&&tt%c&&(at.skipLabel=!0),N.push(at)):(at.minor=!0,j.push(at))}}else N=[],F=st(t);else q?(N=[],F=lt(t,!H)):(j=[],B=lt(t,!H))}!j||j.length<2?p=!1:(r=(j[1].value-j[0].value)*(h?-1:1),n=t.tickformat,(/%f/.test(n)?r>=P:/%L/.test(n)?r>=O:/%[SX]/.test(n)?r>=C:/%M/.test(n)?r>=L:/%[HI]/.test(n)?r>=E:/%p/.test(n)?r>=S:/%[Aadejuwx]/.test(n)?r>=M:/%[UVW]/.test(n)?r>=A:/%[Bbm]/.test(n)?r>=k:/%[q]/.test(n)?r>=_:!/%[Yy]/.test(n)||r>=m)||(p=!1));if(p){var ot=N.concat(j);f&&N.length&&(ot=ot.slice(1)),(ot=ot.sort((function(t,e){return t.value-e.value})).filter((function(t,e,r){return 0===e||t.value!==r[e-1].value}))).map((function(t,e){return void 0!==t.minor||t.skipLabel?null:e})).filter((function(t){return null!==t})).forEach((function(t){p.map((function(e){var r=t+e;r>=0&&r<ot.length&&s.pushUnique(U,ot[r])}))}))}else U=N;if(V&&!(\"inside\"===t.minor.ticks&&\"outside\"===t.ticks||\"outside\"===t.minor.ticks&&\"inside\"===t.ticks)){for(var ut=N.map((function(t){return t.value})),ct=[],ft=0;ft<j.length;ft++){var ht=j[ft],pt=ht.value;if(-1===ut.indexOf(pt)){for(var dt=!1,vt=0;!dt&&vt<N.length;vt++)1e7+N[vt].value===1e7+pt&&(dt=!0);dt||ct.push(ht)}}j=ct}if(f&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,u=t[o].value,c=Math.abs(u-l),f=r||c,h=0;f>=m?h=c>=m&&c<=g?c:y:r===b&&f>=_?h=c>=_&&c<=x?c:b:f>=k?h=c>=k&&c<=w?c:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=c&&(h=c,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,v=0;v<84;v++){var L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==D&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(U,t,t._definedDelta),t.rangebreaks){var gt=\"y\"===t._id.charAt(0),yt=1;\"auto\"===t.tickmode&&(yt=t.tickfont?t.tickfont.size:12);var mt=NaN;for(a=N.length-1;a>-1;a--)if(N[a].drop)N.splice(a,1);else{N[a].value=Ft(N[a].value,t);var xt=t.c2p(N[a].value);(gt?mt>xt-yt:mt<xt+yt)?N.splice(v?a+1:a,1):mt=xt}}Rt(t)&&360===Math.abs(d[1]-d[0])&&N.pop(),t._tmax=(N[N.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var bt,_t=function(e){e.text=\"\",t._prevDateHead=o};function wt(t,e){var r=W.tickText(t,e.value,!1,e.simpleLabel),n=e.periodX;return void 0!==n&&(r.periodX=n,(n>z||n<I)&&(n>z&&(r.periodX=z),n<I&&(r.periodX=I),_t(r))),r}for(N=N.concat(j),a=0;a<N.length;a++){var Tt=N[a].minor,kt=N[a].value;Tt?((bt=p&&-1!==U.indexOf(N[a])?wt(t,N[a]):{x:kt}).minor=!0,B.push(bt)):(o=t._prevDateHead,bt=wt(t,N[a]),(N[a].skipLabel||p&&-1===U.indexOf(N[a]))&&_t(bt),F.push(bt))}return F=F.concat(B),t._inCalcTicks=!1,f&&F.length&&(F[0].noTick=!0),F};var ut=[2,5,10],ct=[1,2,3,6,12],ft=[1,2,5,10,15,30],ht=[1,2,3,7,14],pt=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],dt=[-.301,0,.301,.699,1],vt=[15,30,45,90,180];function gt(t,e,r){return e*s.roundUp(t/e,r)}function yt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(bt(t.exponentformat)&&!_t(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function mt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}W.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*gt(e,n,ut);else if(o>T)e/=T,t.dtick=\"M\"+gt(e,1,ct);else if(o>M){if(t.dtick=gt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ht),!r){var l=W.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=gt(e,E,ct):o>L?t.dtick=gt(e,L,ft):o>C?t.dtick=gt(e,C,ft):(n=a(10),t.dtick=gt(e,n,ut))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+gt(e,n,ut)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Rt(t)?(t.tick0=0,n=1,t.dtick=gt(e,n,vt)):(t.tick0=0,n=a(10),t.dtick=gt(e,n,ut));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: 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n=r(33428),i=r(93024),a=r(86476),o=r(93972),s=r(51184).makeDragBox,l=r(33816).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var O=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:O}),L.bbox=O[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,L=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var O=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],O),y[1][o]=Math.max(y[1][o],O)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if(\"cube\"===D)g=[1,1,1];else if(\"manual\"===D){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==D&&\"data\"!==D)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+\".camera\")).get(),d[s.id+\".camera\"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+\".aspectratio\")).get(),d[s.id+\".aspectratio\"]=o),c.call(\"_storeDirectGUIEdit\",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+\".camera\").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+\".aspectratio\").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if(\"orbit\"===t)n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(\"turntable\"===t){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+\".camera.up\",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call(\"_storeDirectGUIEdit\",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t=\"png\"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,u=t[s];t[s]=t[l],t[l]=u}}(o,i,a),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},64859:function(t,e,r){\"use strict\";var 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n=r(76308),i=r(94288).hasColorscale,a=r(27260),o=r(3400).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},82744:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var s,l=\"hide\"===a.uniformtext.mode;switch(r){case\"funnelarea\":case\"pie\":case\"sunburst\":s=\"g.slice\";break;case\"treemap\":case\"icicle\":s=\"g.slice, g.pathbar\";break;default:s=\"g.points > g.point\"}e.selectAll(s).each((function(t){var e=t.transform;if(e){e.scale=l&&e.hide?0:o/e.fontSize;var r=n.select(this).select(\"text\");i.setTransormAndDisplay(r,e)}}))}}}},78100:function(t,e,r){\"use strict\";var n,i=r(21776).Ks,a=r(92880).extendFlat,o=r(8319),s=r(20832);t.exports={r:o.r,theta:o.theta,r0:o.r0,dr:o.dr,theta0:o.theta0,dtheta:o.dtheta,thetaunit:o.thetaunit,base:a({},s.base,{}),offset:a({},s.offset,{}),width:a({},s.width,{}),text:a({},s.text,{}),hovertext:a({},s.hovertext,{}),marker:(n=a({},s.marker),delete n.cornerradius,n),hoverinfo:o.hoverinfo,hovertemplate:i(),selected:s.selected,unselected:s.unselected}},47056:function(t,e,r){\"use strict\";var n=r(94288).hasColorscale,i=r(47128),a=r(3400).isArrayOrTypedArray,o=r(84664),s=r(96376).setGroupPositions,l=r(4500),u=r(24040).traceIs,c=r(3400).extendFlat;t.exports={calc:function(t,e){for(var r=t._fullLayout,s=e.subplot,u=r[s].radialaxis,c=r[s].angularaxis,f=u.makeCalcdata(e,\"r\"),h=c.makeCalcdata(e,\"theta\"),p=e._length,d=new Array(p),v=f,g=h,y=0;y<p;y++)d[y]={p:g[y],s:v[y]};function m(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=a(r)?c.makeCalcdata(e,t):c.d2c(r,e.thetaunit))}return\"linear\"===c.type&&(m(\"width\"),m(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),o(d,e),l(d,e),d},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var o=n[a],l=o[0].trace;!0===l.visible&&u(l,\"bar\")&&l.subplot===r&&i.push(o)}var f=c({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;s(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},70384:function(t,e,r){\"use strict\";var n=r(3400),i=r(85968).handleRThetaDefaults,a=r(55592),o=r(78100);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},68896:function(t,e,r){\"use strict\";var n=r(93024),i=r(3400),a=r(63400).getTraceColor,o=i.fillText,s=r(8504).makeHoverPointText,l=r(57384).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},94456:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(40872),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(78100),layoutAttributes:r(9320),supplyDefaults:r(70384),supplyLayoutDefaults:r(89580),calc:r(47056).calc,crossTraceCalc:r(47056).crossTraceCalc,plot:r(42040),colorbar:r(5528),formatLabels:r(22852),style:r(60100).style,styleOnSelect:r(60100).styleOnSelect,hoverPoints:r(68896),selectPoints:r(45784),meta:{}}},9320:function(t){\"use 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h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||c.push(f)}s(\"box\",t,c,u)}},setPositionOffset:s}},90624:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(76308),o=r(31147),s=r(20011),l=r(52976),u=r(63188);function c(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],u[e])}var c,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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v=e.sizemode;\"scaled\"===v?l.coneSize=e.sizeref||.5:\"absolute\"===v?l.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5:\"raw\"===v&&(l.coneSize=e.sizeref),l.coneSizemode=v;var g=n(l),y=e.lightposition;return g.lightPosition=[y.x,y.y,y.z],g.ambient=e.lighting.ambient,g.diffuse=e.lighting.diffuse,g.specular=e.lighting.specular,g.roughness=e.lighting.roughness,g.fresnel=e.lighting.fresnel,g.opacity=e.opacity,e._pad=d[e.anchor]*g.vectorScale*g.coneScale*e._normMax,g}f.update=function(t){this.data=t;var e=v(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=v(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},86096:function(t,e,r){\"use strict\";var n=r(3400),i=r(27260),a=r(86040);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var 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f=u(r,l,c,p),h=f[0],d=f[1],g=\"\";h[0]!==o&&d[0]!==o&&h[1]!==o&&d[1]!==o&&h[2]!==o&&d[2]!==o&&h[3]!==o&&d[3]!==o&&(g+=p?\"M\"+h[0]+\",\"+d[1]+\"L\"+h[2]+\",\"+d[2]+\"H\"+h[3]+\"L\"+h[1]+\",\"+d[1]+\"Z\":\"M\"+h[1]+\",\"+d[1]+\"L\"+h[2]+\",\"+d[3]+\"V\"+d[2]+\"L\"+h[1]+\",\"+d[0]+\"Z\"),\"\"===g&&(g=\"M0,0Z\"),i.ensureSingle(n.select(this),\"path\").attr(\"d\",g).call(a.setClipUrl,e.layerClipId,t)}}))}else h.remove()}))}(t,e,r,c),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;i.makeTraceGroups(o,r,\"trace bars\").each((function(r){var o=n.select(this),c=r[0].trace,f=i.ensureSingle(o,\"g\",\"lines\");if(c.connector&&c.connector.visible&&c.connector.line.width){var h=\"h\"===c.orientation,p=f.selectAll(\"g.line\").data(i.identity);p.enter().append(\"g\").classed(\"line\",!0),p.exit().remove();var d=p.size();p.each((function(r,o){if(o===d-1||r.cNext){var c=u(r,s,l,h),f=c[0],p=c[1],v=\"\";void 0!==f[3]&&void 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n=r(74996),i=r(45464),a=r(86968).u,o=r(21776).Ks,s=r(21776).Gw,l=r(92880).extendFlat;t.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:n.marker.pattern,editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top left\",\"top 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f=c(\"labels\"),h=c(\"values\"),p=s(f,h),d=p.len;if(e._hasLabels=p.hasLabels,e._hasValues=p.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),d){e._length=d,l(t,e,u,c),c(\"scalegroup\");var v,g=c(\"text\"),y=c(\"texttemplate\");if(y||(v=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),y||v&&\"none\"!==v){var m=c(\"textposition\");o(t,e,u,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}else\"none\"===v&&c(\"textposition\",\"none\");a(e,u,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",u.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},62396:function(t,e,r){\"use 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n=r(33428),i=r(43616),a=r(3400),o=a.strScale,s=a.strTranslate,l=r(72736),u=r(98184).toMoveInsideBar,c=r(82744),f=c.recordMinTextSize,h=c.clearMinTextSize,p=r(69656),d=r(37820),v=d.attachFxHandlers,g=d.determineInsideTextFont,y=d.layoutAreas,m=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return\"l\"+(e[0]-t[0])+\",\"+(e[1]-t[1])}t.exports=function(t,e){var r=t._context.staticPlot,c=t._fullLayout;h(\"funnelarea\",c),m(e,t),y(e,c._size),a.makeTraceGroups(c._funnelarealayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],y=d.trace;!function(t){if(t.length){var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o,s,l=Math.pow(i,2),u=e.vTotal,c=u,f=u*l/(1-l)/u,h=[];for(h.push(E()),o=t.length-1;o>-1;o--)if(!(s=t[o]).hidden){var p=s.v/c;f+=p,h.push(E())}var d=1/0,v=-1/0;for(o=0;o<h.length;o++)a=h[o],d=Math.min(d,a[1]),v=Math.max(v,a[1]);for(o=0;o<h.length;o++)h[o][1]-=(v+d)/2;var 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k=p.castOption(y.textposition,o.pts),A=x.selectAll(\"g.slicetext\").data(o.text&&\"none\"!==k?[0]:[]);A.enter().append(\"g\").classed(\"slicetext\",!0),A.exit().remove(),A.each((function(){var r=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),p=a.ensureUniformFontSize(t,g(y,o,c.font));r.text(o.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,p).call(l.convertToTspans,t);var d,v,x,b=i.bBox(r.node()),_=Math.min(o.BL[1],o.BR[1])+m,w=Math.max(o.TL[1],o.TR[1])+m;v=Math.max(o.TL[0],o.BL[0])+h,x=Math.min(o.TR[0],o.BR[0])+h,(d=u(v,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=p.size,f(y.type,d,c),e[s].transform=d,a.setTransormAndDisplay(r,d)}))}}));var m=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);m.enter().append(\"g\").classed(\"titletext\",!0),m.exit().remove(),m.each((function(){var e=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),r=y.title.text;y._meta&&(r=a.templateString(r,y._meta)),e.text(r).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,y.title.font).call(l.convertToTspans,t);var u=x(d,c._size);e.attr(\"transform\",s(u.x,u.y)+o(Math.min(1,u.scale))+s(u.tx,u.ty))}))}))}))}},62096:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");a(t,e,\"funnelarea\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},83328:function(t,e,r){\"use strict\";var n=r(52904),i=r(45464),a=r(25376),o=r(29736).axisHoverFormat,s=r(21776).Ks,l=r(21776).Gw,u=r(49084),c=r(92880).extendFlat;t.exports=c({z:{valType:\"data_array\",editType:\"calc\"},x:c({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:c({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:c({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:c({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:c({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:c({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:c({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:c({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:c({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:c({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:c({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:c({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:c({},i.showlegend,{dflt:!1}),zorder:n.zorder},{transforms:void 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t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var D=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",O).on(\"drag\",P).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:m,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function O(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return 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strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=a;r+=4)e[y(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(c),O=[];I(e);var P=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,l=t.viewModel,g=l.dimensions.slice(),b=g[0]?g[0].values.length:0;var e=r.lines,n=T?e.color.map((function(t,r){return r/e.color.length})):e.color,i=function(t,e,r){for(var n,i=new Array(t*(a+4)),o=0,l=0;l<t;l++){for(var u=0;u<a;u++)i[o++]=u<e.length?e[u].paddedUnitValues[l]:.5;i[o++]=d(l,2),i[o++]=d(l,1),i[o++]=d(l,0),i[o++]=(n=r[l],Math.max(s,Math.min(.999999,n)))}return i}(b,g,n);!function(t,e,r){for(var n=0;n<=a;n+=4)t[y(n)](v(n/4,e,r))}(L,b,i),w||T||(C=k.texture(o.extendFlat({data:p(r.unitToColor,255)},c)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(k,0,0,r.canvasWidth,r.canvasHeight);var c=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<g.length?g[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<g.length;e++){var s=e%8,l=(e-s)/8,u=Math.pow(2,s),c=g[e].brush.filter.get();if(!(c.length<2)){var f=x(c[0])[1];for(r=1;r<c.length;r++){var h=x(c[r]);for(n=f+1;n<h[0];n++)o[8*n+l]&=~u;f=Math.max(f,h[1])}}}var p={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(p):_=k.texture(p),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var p=t[i],d=p.dim0.crossfilterDimensionIndex,v=p.dim1.crossfilterDimensionIndex,y=p.canvasX,A=p.canvasY,M=y+p.panelSizeX,S=p.plotGlPixelRatio;if(e||!O[d]||O[d][0]!==y||O[d][1]!==M){O[d]=[y,M];var L=m(r,a,o,i,d,v,y,A,p.panelSizeX,p.panelSizeY,p.dim0.crossfilterDimensionIndex,w?0:T?2:1,c,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:b;h(k,P,E,C,b,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:u}),u},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},26284:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},36336:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.isArrayOrTypedArray,o=i.numberFormat,s=r(96824),l=r(54460),u=i.strRotate,c=i.strTranslate,f=r(72736),h=r(43616),p=r(8932),d=r(71688),v=d.keyFun,g=d.repeat,y=d.unwrap,m=r(95724),x=r(30140),b=r(71864),_=r(51352);function w(t,e,r){return i.aggNums(t,null,e,r)}function T(t,e){return A(w(Math.min,t,e),w(Math.max,t,e))}function k(t){var e=t.range;return e?A(e[0],e[1]):T(t.values,t._length)}function A(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function M(t,e,r,i,a){var s,l,u=k(r);return i?n.scale.ordinal().domain(i.map((s=o(r.tickformat),l=a,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function S(t){if(t.tickvals){var e=k(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function E(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=s(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function L(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function C(t,e,r){var a=y(e),o=a.trace,l=m.convertTypedArray(a.lineColor),u=o.line,c={color:s(o.unselected.line.color),opacity:o.unselected.line.opacity},f=p.extractOpts(u),h=f.reversescale?p.flipScale(a.cscale):a.cscale,d=o.domain,v=o.dimensions,g=t.width,b=o.labelangle,_=o.labelside,w=o.labelfont,T=o.tickfont,A=o.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(k({values:l,range:[f.min,f.max],_length:o._length}))),blockLineCount:x.blockLineCount,canvasOverdrag:x.overdrag*x.canvasPixelRatio}),S=Math.floor(g*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},O=S,P=L;return{key:r,colCount:v.filter(m.isVisible).length,dimensions:v,tickDistance:x.tickDistance,unitToColor:E(h),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:T,rangeFont:A,layoutWidth:g,layoutHeight:t.height,domain:d,translateX:d.x[0]*g,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:O*x.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:P*x.canvasPixelRatio,width:O,height:P,canvasPixelRatio:x.canvasPixelRatio}}function 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 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r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,c=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,f=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,h=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u,textcase:c,lineposition:f,shadow:h}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function O(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=O(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+O(i.px0,i.pxmid,!0,1)+O(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+O(i.px0,i.pxmid,!1,k)+O(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=O(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+O(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var 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n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\"),y(\"align\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333,k=_(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return 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d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function v(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+u.sankeyLink).filter(v(e)).call(x.bind(0,e,r,!1))}function m(t,e,r){e&&r&&h(r,e).selectAll(\".\"+u.sankeyLink).filter(v(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){n.style(\"fill\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverHue})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverAlpha})),n.each((function(r){var n=r.link.label;\"\"!==n&&h(e,t).selectAll(\".\"+u.sankeyLink).filter((function(t){return t.link.label===n})).style(\"fill\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverHue})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return t.tinyColorHoverAlpha}))})),r&&h(e,t).selectAll(\".\"+u.sankeyNode).filter(g(t)).call(y)}function b(t,e,r,n){n.style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),n.each((function(r){var n=r.link.label;\"\"!==n&&h(e,t).selectAll(\".\"+u.sankeyLink).filter((function(t){return t.link.label===n})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha}))})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var O=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-O/2,A.nodes[w].y1=C[1]+O/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(A)}return{circular:_,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:y,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?y:g,dragPerpendicular:f?g:y,arrangement:a.arrangement,sankey:n,graph:A,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=u(e.hovercolor),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,O=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var P=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(P,I)&&w<=Math.max(P,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,O){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,O=L.t,P=O.index,I=C._length,D=O.x,z=O.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[P]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[P]=B}var N=O.xpx=new Array(I),j=O.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else O.xpx=O.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else u[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(u),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},73224:function(t,e,r){\"use strict\";var n=r(43028),i=r(26768).styleTextSelection;t.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,u=r[0].t,c=l._length,f=u.x,h=u.y,p=u._scene,d=u.index;if(!p)return s;var v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},31512:function(t,e,r){\"use strict\";var n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(6096),s=r(52904),l=r(5232),u=r(45464),c=r(49084),f=r(92880).extendFlat,h=r(67824).overrideAll,p=r(5232),d=o.line,v=o.marker;t.exports=h({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:f({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:f({},v.opacity,{dflt:1})},mode:f({},s.mode,{dflt:\"markers\"}),text:f({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:f({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:f({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:v.opacity,size:v.size,sizeref:v.sizeref,sizemin:v.sizemin,sizemode:v.sizemode},c(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:f({},u.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},79732:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},59392:function(t,e,r){\"use 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},O=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=O(A[1]).length,F=O(A[3]).length,B=O(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(C(A[1])),V=P(C(A[3])),q=P(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! Unable to input data grid.\"),L()),{xMin:b,yMin:w,zMin:k,xMax:x,yMax:_,zMax:T,Xs:M,Ys:S,Zs:E,len:m,fill:A}}function o(t){return n.distinctVals(t).vals}function s(t,e){if(void 0===e&&(e=t.length),n.isTypedArray(t))return t.subarray(0,e);for(var r=[],i=0;i<e;i++)r[i]=+t[i];return r}t.exports={calc:function(t,e){e._len=Math.min(e.u.length,e.v.length,e.w.length,e.x.length,e.y.length,e.z.length),e._u=s(e.u,e._len),e._v=s(e.v,e._len),e._w=s(e.w,e._len),e._x=s(e.x,e._len),e._y=s(e.y,e._len),e._z=s(e.z,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;var n,o,l,u=0;e.starts&&(n=s(e.starts.x||[]),o=s(e.starts.y||[]),l=s(e.starts.z||[]),u=Math.min(n.length,o.length,l.length)),e._startsX=n||[],e._startsY=o||[],e._startsZ=l||[];var c,f=0,h=1/0;for(c=0;c<e._len;c++){var p=e._u[c],d=e._v[c],v=e._w[c],g=Math.sqrt(p*p+d*d+v*v);f=Math.max(f,g),h=Math.min(h,g)}for(i(t,e,{vals:[h,f],containerStr:\"\",cLetter:\"c\"}),c=0;c<u;c++){var 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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n=r(7316);e.name=\"sunburst\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},3776:function(t,e,r){\"use strict\";var n=r(74148),i=r(38248),a=r(3400),o=r(8932).makeColorScaleFuncFromTrace,s=r(45768).makePullColorFn,l=r(45768).generateExtendedColors,u=r(8932).calc,c=r(39032).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||\"number\"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return 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h=f(\"labels\"),p=f(\"parents\");if(h&&h.length&&p&&p.length){var d=f(\"values\");d&&d.length?f(\"branchvalues\"):f(\"count\"),f(\"level\"),f(\"maxdepth\"),s(t,e,l,f);var v=e._hasColorscale=u(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;v&&c(t,e,l,f,{prefix:\"marker.\",cLetter:\"c\"}),f(\"leaf.opacity\",v?1:.7);var g=f(\"text\");f(\"texttemplate\"),e.texttemplate||f(\"textinfo\",n.isArrayOrTypedArray(g)?\"text+label\":\"label\"),f(\"hovertext\"),f(\"hovertemplate\"),o(t,e,l,f,\"auto\",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),f(\"insidetextorientation\"),f(\"sort\"),f(\"rotation\"),f(\"root.color\"),a(e,l,f),e._length=null}else e.visible=!1}},60404:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a,o){var s=e.data.data,l=s.i,u=o||s.color;if(l>=0){e.i=s.i;var 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v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*y),[g,y]);for(r=0;r<g;r++)for(n=0;n<y;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=v[2],w.intensityBounds[1]*=v[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},60192:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(16716);function s(t,e,r,n){var i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=.1+.9*(1-Math.pow(Math.sin(1*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}():function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}t.exports={supplyDefaults:function(t,e,r,u){var c,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,Y)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,K)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Ot=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(u+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Ot,l[16]=Pt,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return 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s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=ArrayBuffer,c=DataView;function f(t){return Array.isArray(t)||function(t){return u.isView(t)&&!(t instanceof c)}(t)}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function v(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?f(a)&&f(a[0]):f(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(f(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,h=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var v=0;v<3;++v)p[d][v]!==this.bounds[d][v]&&(h=!0),this.bounds[d][v]=p[d][v];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,c=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],m=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||c)&&this._text.update(this.bounds,this.labels,y,this.ticks,m):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,m),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new v,new v,new v];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var m=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var b=[0,0,0],_=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),c=u.cubeEdges,f=u.axis,p=n[12],d=n[13],v=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*v+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=f[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,c,f);e=this.gl;var S,E,L,C=m;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=f[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var O=[0,0,0];f[A]>0?O[A]=a[1][A]:O[A]=a[0][A];for(var P=0;P<2;++P){var I=(A+1+P)%3,D=(A+1+(1^P))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,O,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(P=0;P<2;++P)I=(A+1+P)%3,D=(A+1+(1^P))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,O,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=h(b,M[A].primalMinor),R=h(_,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];z[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=h(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);o(u[I],u[O],u[P],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[O],l[P],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var O=m?5:4;for(L=O;L===O;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var P=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(P[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],O=v[x],P=n.length(O)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var n=r(737);t.exports=function(t){return n[t]}},9165:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(2762),i=r(8116),a=r(3436),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];if(Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),!isNaN(d[0][s])&&!isNaN(d[1][s]))d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},3436:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var O,P;l?(O=x*(o[C]-c),P=x*(o[C+1]-c)):(O=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),P=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*O+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},1903:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},6864:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},9921:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},7399:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},6743:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},7894:function(t){t.exports=function(t){return 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Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},6760:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},4040:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},4772:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},6079:function(t){t.exports=function(t,e,r,n){var 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t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},7656:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},5665:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else 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parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,O=t.vertexIntensity,P=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!P)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<O.length;++R){var F=O[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=O||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,O,P,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,O=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*P,z=6*Math.max(0,I-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=O+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],O=[],P=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=O.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,O.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),O.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),P=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),P=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<O.length;++t)O[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=O.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,P=P||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,P=P||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,P=P||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=O.length,n=0;n<e;++n){var i=O[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return h.isView(t)&&!(t instanceof p)}(t)}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return v(n,n),v(n,n),v(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new x(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var b=x.prototype;b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},b.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var _=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=f.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function L(t){return t[0]=t[1]=t[2]=0,t}function C(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function O(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],_[0]=2/o.drawingBufferWidth,_[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=_,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var y=M,m=0;m<16;++m)y[m]=0;for(m=0;m<4;++m)y[5*m]=1;y[5*v]=0,i[v]<0?y[12+v]=p[0][v]:y[12+v]=p[1][v],s(y,u,y),l.model=y;var x=(v+1)%3,b=(v+2)%3,P=L(w),I=L(T);P[x]=1,I[b]=1;var D=g(0,0,0,C(k,P)),z=g(0,0,0,C(A,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=P,P=I,I=R;var F=x;x=b,b=F}D[0]<0&&(P[x]=-1),z[1]>0&&(I[b]=-1);var B=0,N=0;for(m=0;m<4;++m)B+=Math.pow(u[4*x+m],2),N+=Math.pow(u[4*b+m],2);P[x]/=Math.sqrt(B),I[b]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=I,l.fragClipBounds[0]=O(S,d[0],v,-1e8),l.fragClipBounds[1]=O(S,d[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,_[0]=2/l.drawingBufferWidth,_[1]=2/l.drawingBufferHeight,u.screenSize=_,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=P,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function D(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var f=r.style;d(f)&&(f=f[e]),f||(f=\"normal\");var h=r.variant;d(h)&&(h=h[e]),h||(h=\"normal\");var p=u(a,{family:s,weight:l,style:f,variant:h},i);return{mesh:(p=u(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}b.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},b.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},b.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},b.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},b.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,v=t.size,g=t.angle,y=t.lineColor,x=-1,b=0,_=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;b+=3*A.cells.length,_+=2*M.edges.length}}var E=b+_,L=o.mallocFloat(3*E),C=o.mallocFloat(4*E),O=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var I=0,z=b,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k])}A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(v)?q=n<v.length?+v[n]:12:v?q=+v:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),W=Math.sin(H);for(T=s[n],k=0;k<3;++k)f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k]);var Y=i,X=a;Y=0,d(i)?Y=n<i.length?i[n]:0:i&&(Y=i),X=0,d(a)?X=n<a.length?a[n]:0:a&&(X=a);var Z=[Y*=Y>0?1-S[0][0]:Y<0?1+S[1][0]:1,X*=X>0?1-S[0][1]:X<0?1+S[1][1]:1],K=A.cells||[],J=A.positions||[];for(k=0;k<K.length;++k)for(var $=K[k],Q=0;Q<3;++Q){for(var tt=0;tt<3;++tt)L[3*I+tt]=T[tt];for(tt=0;tt<4;++tt)C[4*I+tt]=R[tt];P[I]=x;var et=J[$[Q]];O[2*I]=q*(G*et[0]-W*et[1]+Z[0]),O[2*I+1]=q*(W*et[0]+G*et[1]+Z[1]),I+=1}for(K=M.edges,J=M.positions,k=0;k<K.length;++k)for($=K[k],Q=0;Q<2;++Q){for(tt=0;tt<3;++tt)L[3*z+tt]=T[tt];for(tt=0;tt<4;++tt)C[4*z+tt]=F[tt];P[z]=x,et=J[$[Q]],O[2*z]=q*(G*et[0]-W*et[1]+Z[0]),O[2*z+1]=q*(W*et[0]+G*et[1]+Z[1]),z+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=b,this.lineVertexCount=_,this.pointBuffer.update(L),this.colorBuffer.update(C),this.glyphBuffer.update(O),this.idBuffer.update(P),o.free(L),o.free(C),o.free(O),o.free(P)},b.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},4298:function(t,e,r){\"use strict\";var n=r(3236);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},3161:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(4298);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var 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projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * (view * (model * vec4(vertexPosition, 1.0)));\\n  vec2 clipOffset = (projection * (view * (model * vec4(color, 0.0)))).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},4449:function(t,e,r){\"use strict\";var n=r(2762),i=r(8116),a=r(1493);t.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),u=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=a(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var f=new s(t,l,u,c);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,u=[0,0,0],c=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6740:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],O=(l-M)/(S-M),P=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(O)||(O=.5),isFinite(P)||(P=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,O),n.lerp(q,z,N,O),n.lerp(H,R,j,O),n.lerp(G,F,U,O);var W=n.create(),Y=n.create();n.lerp(W,V,H,P),n.lerp(Y,q,G,P);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var O=[C],P=[],I=d(C),D=C;P.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:O,velocities:P,divergences:z});for(var B=0;B<100*u&&O.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(O.push(N),D=N,P.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=O.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=O.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=P(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,O=Math.sqrt(E*E+L*L+C*C);O<1e-8?(O=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,E*O),b.set(o,y,1,L*O),b.set(o,y,2,C*O)}s.free(x.data);var P=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[P,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,O=k*E,P=T*L,I=T*E,D=C*f.get(_,M)+O*f.get(_,S)+P*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+O*p.get(_,S)+P*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},9977:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(9215),i=r(6582),a=r(7399),o=r(7608),s=r(4081);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?Pn(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?Pn(Cn(t[1],t.slice(2))):\"has\"===r?On(t[1]):\"!has\"===r?Pn(On(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function On(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Oi=function(){return Mi},Pi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),O=0;O<C.length;O+=3)this.indexArray.emplaceBack(k+C[O],k+C[O+2],k+C[O+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,O=A+h,P=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,O/I);z.z=P/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),O=k?C:0,P=k?0:C;if(p&&this.addCurrentVertex(c,v,O,P,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-O,-P,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Ol(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Ol(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,O=null,P=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,O={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=O.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)P=j.rect,O=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;O=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=O.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Ou(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Pu(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Oa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Oi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var O=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||O,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,O=b.isSDF,P=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,O,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,O,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,O,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,O,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Oc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Pc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Oc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Oc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Oo(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Oi()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Pc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Pl,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],O=f.points[C];O.zoom<=e||(O.zoom=e,r.push(O))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),O=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:O,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Ot=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Ot.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ot.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ot.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Ot.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Ot.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Ot.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Ot.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ot.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ot.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ot.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ot.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ot.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),O=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),P=se(e.writingMode,S,O,d);if(P)return P}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],O=E.path.length-1;O>=1;O--)C.push(E.path[O]);for(var P=1;P<L.path.length;P++)C.push(L.path[P]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},O=null,P=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;O=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||O.circles.length>0&&!O.collisionDetected,S=S&&O.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(P=Z(a.verticalIconBox)).box.length>0:(P=Z(a.iconBox)).box.length>0,S=S&&P.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),O&&(T&&i.collisionIndex.insertCollisionCircles(O.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<O.circles.length;tt+=4)Q.circles.push(O.circles[tt+0]),Q.circles.push(O.circles[tt+1]),Q.circles.push(O.circles[tt+2]),Q.circles.push(O.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var O=C?L:ze;d(e.icon,a.numIconVertices,O),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=C?ze:L;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Oe=Math.pow(2,9),Pe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Oe+e*Pe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Or=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,O=E.circleArray[C+0],P=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,O,P,I,D,0),k.emplace(A++,O,P,I,D,1),k.emplace(A++,O,P,I,D,2),k.emplace(A++,O,P,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,O=0;O<C.length;O++){var P=C.get(O);if(P.hidden)he(P.numGlyphs,d);else{var I=v[O];if(I)for(var D=0;D<P.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var O=C.programConfigurations.get(n.id),P=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(P,a,L),O),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:P?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Or(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,O=S.indexBuffer,P=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,P,n.id,C,O,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var O=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var P=w.gradients[n.id],I=P.texture;if(n.gradientVersion!==P.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(v,P.gradient,g.RGBA),P.version=n.gradientVersion,I=P.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,O,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Ot(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var On=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};On.prototype.clone=function(){var t=new On(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},On.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},On.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},On.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},On.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},On.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},On.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},On.prototype.zoomScale=function(t){return Math.pow(2,t)},On.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},On.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},On.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},On.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},On.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},On.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},On.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},On.prototype.coordinateLocation=function(t){return t.toLngLat()},On.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},On.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},On.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},On.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},On.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},On.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},On.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},On.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},On.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},On.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},On.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},On.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(On.prototype,Pn);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var O=E(0),P=function(t){return C(O)/C(O+_*t)},I=function(t){return w*((C(O)*(L(e=O+_*t)/C(e))-L(O))/S)/k;var e},D=(E(1)-O)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},P=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/P(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Oi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new On(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Oi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Xi--,Zi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),O=c.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,I=0;P<this.counts.length;P++){for(var D=this.counts[P],z=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],O[2*I]=z.width[B],F){var j=O[2*I-2],U=O[2*I],V=O[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}O[2*I+1]=V}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(O),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,O=L.color,P=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(O.length||P.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=O[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=P[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(O.length||P.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=O[F]&&(E[4*F]=O[F]%f,E[4*F+1]=Math.floor(O[F]/f)),null!=P[F]&&(E[4*F+2]=P[F]%f,E[4*F+3]=Math.floor(P[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],O=E[2],P=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+O*y-S[2],b+P*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93060,7 +93206,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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bcXlygqyqamrZX//6V4YNG8YTTzzBnXfeyZ133onZbOa0007jnnvuSU0MfT4fQL+OacnlXq+3z2clJSVpP69bt67POQ0ZMqSPsBo0aFDGYyX3lxwTwH333cdVV11FXl4eJ598MoMHD8bpdCJJEosXL2b9+vVpJgO/+c1vKCws5KGHHuJvf/sb9957L5IkMXPmTO666y6OOuooQBcHAO+88w7vvPNOxvEABIPBtDHtbewDxefzpXqeDWRfyfHW1NTs8blJjndvYzaZTKn6wEz0dz5er5cpU6ZQW1vL1KlTufjii8nPz8dsNuP1ernvvvvS7sf+XDdFUTjhhBNYtWoV48eP54ILLqCoqCh1rW6++eY9GnwMlIE8+zt37sTr9aYJq335Hg6EPd3v5557bo/bJu+3yWTi/fff55ZbbuH555/nd7/7HQDZ2dlccskl3HHHHamXLl8VZ599Nq+++ir33HMP//jHP3j00UcBOPLII7njjjs4+eSTv9LxGBgYHHwMYWVgYPCVYDKZOP/889m4cSO33nor77//PgsWLEhN0A4//PDUG/Mv6/hXXXUVV111FW1tbXz00Uf8+9//5rnnnuPzzz/n888/x2azpcbT0tKScT9JV8BMjoc9XddAd17r6QjWH62trRmXJ8eQPFYikeCmm26ipKSEzz77rM8EOPlWvzcXX3wxF198MV6vlxUrVvDiiy/yj3/8g1NPPZUtW7ZQVFSUOsZ9993HlVdeudcxJ9ff29gHitvtxuPxZDSQyLSv5PHPOussXnjhhQEdIxndbG1tZdiwYWmfqapKZ2dnv32det/bJH//+9+pra3lxhtv7BNJWblyJffdd1/Gce/LdXvppZdYtWoVl156aR/Hy+bm5oPmKNfz2c8UhdzTs38wyXStk8d86aWXBtwDLy8vj7/+9a/89a9/Zdu2bXzwwQc8+uijPPDAA3i93pSpSDJa3Dvym8Tr9fYrHveVefPmMW/ePEKhEJ988gmvvvoqDz/8MKeffjpr165l7NixB+U4BgYGhwbDbt3AwOArJTs7GyCVxuRyuRg3bhyff/45Ho/nKxlDcXExZ599Nv/5z3844YQT2L59O5s2bQJ0gQe6fXJvEokEH374IQBHHHHEQRvPRx99lNGWOzmG5Jg6Ojrwer0ce+yxfURVMBjcqzDNzc3ltNNO4/HHH+fSSy/F4/GwbNkyQE+FA1Lntzeys7MZMWIETU1NbN++vd+xD5QjjjgCTdP46KOPBrSvww47LOUcqSjKgI6RvI6ZjvHxxx/3O7HeE9u2bQN0J7veZErp6zmGTJGcTOeaPMbZZ589oGMAqTTDfYkW7enZ37ZtG42NjVRVVR00kbEv7Ovz2ZsRI0bwwx/+kA8++ACXy8VLL72U+iwvLw+AhoaGPttt27YtLWK8N0wm04CueVZWFieccAJ/+ctfuOGGG4jH47zxxhsDPo6BgcHXE0NYGRgYHFQWLVrEO++8k1EotLS08PjjjwMwY8aM1PLf/OY3xONxLr/88owpdl1dXQcUzYrFYixfvrzPckVRUmLO6XQCsGDBAvLz81m0aBEff/xx2vr33nsvtbW1nHTSSX3qqw6EmpqaPj2lXnrpJT744ANGjBiRslsvLi7G6XSyZs2atBQ3RVH41a9+RUdHR599L1myJGMvoba2NmD3eR911FFMnz6dF154gX/84x8Zx7lx48bUdgCXXXYZmqbxu9/9Lu1+19bW8re//W2gp5/aF+i2+D37Mnk8now1VGazmV/+8pc0Nzdz5ZVXEolE+qzT3Nyc1tvr4osvBuC2225LmyzH43FuuOGGfRpvkqSVeW8xsnbtWu64444+61dUVHDyySdTW1vLAw88kPZZ8p4P9Bg7duxIpbj1JpnWuHPnzgGchc7ll18OwK233pqqqQNdnF1zzTVomsYPf/jDAe/vYHLmmWcyfPhwHnzwQV5//fWM66xcuZJwOAzoz+COHTv6rNPV1UUsFsPhcKSWHXbYYeTk5PDSSy+lPd+RSGRA0dueFBQU0N7envF5XLZsWUbxnoxeJr+LBgYG31yMVEADA4ODyieffMJ9991HSUkJxx9/fKrfU21tLa+99hqRSIQzzzyTc889N7XN5Zdfzpo1a3jooYcYPnw4p556KoMHD8bj8VBbW8uyZcu47LLLeOSRR/ZrTJFIhOOPP54RI0Zw5JFHMmTIEKLRKO+88w6bN2/mjDPOYMyYMYAeQfvHP/7Beeedx8yZMznvvPMYPHgwa9as4e2336akpCRVG3GwmDNnDldffTVvvPEGkyZNSvWxstvt/OMf/0ilKsmyzJVXXsmdd97JhAkTOPPMM4nH4yxZsgSPx8Ps2bNZsmRJ2r7POussXC4X06ZNY+jQoQgh+PDDD1m9ejVHHnkkJ510UmrdZ555hhNOOIEf/vCH/O1vf+Poo48mNzeXxsZGNmzYwKZNm1i5cmWqr9DVV1/N4sWL+e9//8sRRxzBqaeeitfrTTWYffnllwd8Db7//e/z7LPP8vLLLzN+/HjOPPNMFEXh+eefZ8qUKRmjYn/84x9Zv349jzzyCK+88gonnHAC5eXltLW1UVNTw/Lly7nttttS6VUzZ87kxz/+MY899hjjxo3jnHPOwWKx8Morr+B2uykrK8toIrInLr74Yu666y6uuuoqlixZwsiRI6mpqeHVV1/l7LPPzth8+sEHH+SYY47hqquu4u23307d8xdffJH58+fzyiuvpK0/f/58RowYwV/+8hc2btzI4Ycfzs6dO3n11VeZN29eRvE0e/ZsZFnm+uuvZ9OmTamozB/+8Id+z+XYY4/lt7/9Lf/f//f/MX78eM4991yysrJ444032LRpE8cffzzXXnvtPl2fg4XFYuGFF17g1FNPZd68eRx77LFMnjwZp9NJQ0MDq1evZseOHTQ3N+N0Olm/fj1nn302U6ZMYcyYMZSVldHe3s5LL72EoihpgtRisfCrX/2KP/3pTxx++OGcddZZJBIJ3nnnHcrKyigrKxvwOJN93ebMmcOMGTOw2WxMmjSJ+fPnc+WVV9LU1MRxxx3H0KFDsVqtrFmzhvfff58hQ4bwve9978u4dAYGBl8lh9ST0MDA4FvHzp07xQMPPCAWLFggRo0aJbKzs4XFYhElJSVi7ty54qmnnspoLS6EEK+88oqYN2+eKCoqEhaLRQwaNEhMmTJF/P73vxebN29OW5cMfY2S9LaSjsfj4s9//rOYM2eOqKysFDabTRQWFoqjjz5aPPzwwyIWi/XZx6pVq8SCBQtEYWGhsFgsorKyUvz0pz8VTU1Nez3eQOlp87xixQpx4okniuzsbOFyucTJJ58sVq1a1WcbRVHEPffcI8aMGSPsdrsYNGiQuOiii0RdXV3GcTz88MNiwYIFoqqqSjgcDpGXlycmT54s/vznP2fsh+X3+8Vtt90mjjjiCJGVlSXsdrsYOnSoOO2008Sjjz4qgsFg2vo+n0/8+te/FmVlZcJms4nRo0eLu+++W2zfvn2f7NaF0PtJ3XzzzaKqqkpYrVYxZMgQccMNN4hoNNrv/dY0TfzrX/8SJ5xwgsjLyxMWi0WUlZWJ4447Ttx2221i586daeurqir+8pe/iNGjRwur1SpKS0vFz372M+H1eoXL5RKTJk1KW78/W+2efP7552L+/PmiqKhIOJ1OccQRR4jHH39c1NbW9nsNampqxDnnnCPcbrdwOp1i2rRp4tVXX+33eDt37hQXXnihKCsrE3a7XYwdO1b8+c9/Foqi9HttnnrqqVT/MbrbHiTZ0zO7aNEicdxxxwmXyyVsNpsYO3asuPXWW9P6iyXZk7343izfe5O0W98Tra2t4ne/+50YN26ccDgcIisrS4wYMUKcc8454qmnnkpZ7zc0NIjrr79eHHvssWLQoEHCarWK8vJyMWfOHPH666/32a+maeKOO+4Qw4YNS33fr732WhEKhfbJbj0YDIqf/vSnory8XJhMprT7/+yzz4rvfe97YsSIESIrK0tkZ2eLcePGiRtuuEG0tbUN6BoZGBh8vZGEyJAjYmBgYGBg8B2ipqaGUaNG8b3vfY9FixYd6uEYGBgYGHwDMWqsDAwMDAy+M7S0tPSp/wuHwykL/LPOOusQjMrAwMDA4NuAUWNlYGBgYPCd4d5772XRokXMmjWL0tJSWlpaeO+992hsbGTu3Lmcd955h3qIBgYGBgbfUAxhZWBgYGDwneHkk09m/fr1vP3223g8HsxmM6NGjeLKK6/kqquu6rdflYGBgYGBwd4waqwMDAwMDAwMDAwMDAwOEKPGysDAwMDAwMDAwMDA4AAxhJWBgYGBgYGBgYGBgcEBYggrAwMDAwMDAwMDAwODA8QQVgYGBgYGBgYGBgYGBgeIIawMDAwMDAwMDAwMDAwOEENYGRgYGBgYGBgYGBgYHCCGsDIwMDAwMDAwMDAwMDhADGFlYGBgYGBgYGBgYGBwgBjCysDAwMDAwMDAwMDA4AAxH+oBfB3RNI1du3aRnZ2NJEmHejgGBgYG3xmEEAQCAcrKypBl491fEuPvkoGBgcGhY6B/mwxhlYFdu3ZRWVl5qIdhYGBg8J2loaGBioqKQz2Mrw3G3yUDAwODQ8/e/jYZwioD2dnZgH7xcnJy9msfOzqC/HN5HZ5wnHynlUuOG8qwQteXtv2HNe08vGQ7nnCMUDRBVVEWhS4biib26/hfNTs6gjzwXg2t/hiDcmz84sSRh3S8Pa+/RZY4ZnghRw7N+9pdwx0dQZq6IpTnOfY6tgN9Jr9s+htfcvmmXT7qOkLYLSaEgDGl2dS0BrBbzWhC8NOZwzn3SGPi+U3H7/dTWVmZ+j1soHMw/i4ZfLvp6Ohg+PDhacu2b99OYWHhIRqRgcG3h4H+bTKEVQaSaRY5OTn7/Qdsck4O2dk5NHZFqMhzMLxo4BPY7e1BvIqZM6eOQJKkAW2f5YrSEZfxxEw4rFZkWxYnTa6k1O3Y5+MfbJZWt7Gh0cfECjezRhdnXMfbHMWnmkmYJayOLLKzc8jJ+erHvLS6jaXV7fgiCq1RmcLsHJZv72BXuJOaLpUfzcjZ47Xc3h6kwROmMt/5pV/z7e1B/r22g85QnIKsUMaxbW8Psqq2E5AAgdvtZli5ldMmlB7SZyIT3uYoQWFlUlUBm1sC+BIWcnJyUssLct1s69IIaCBLsCsENmc2DquJuKrhdGUbE85vEUa6WzoH4++SwbebWCzWZ1l2tvF70cDgYLK3v02GsPqSEUIMeN3kJPjDmg4UVVCQZeVHM4YNeAJc6nYgSRCIJjDJMGVo/iGfPC+tbuMPizfhjyrk2C3cumB8SlwlBVdRtpU3N7VQ1xGhKNuKN6LQ2BX5yse+tLqNP7y4ifZgDEkCl9XEekUlqgisphg7PeE9jmt7e5DHl+3oFjr7du/2R5A1eMLs9IQpdFkzjm17e5B73qpmXaOXqKISjqvIgNNmptBlPeTPRm8q850UZFnZ3BKgIMtKRZ4jbfn29mBqXU1ASNHItVuIJlQq8hxMGZp/qIZuYGBgYGBgYGAIqy+LfZ1kJyfBG5t8BKIKM0YV0RmKD1hgVOY7KXXbafJGMMsyUUWjwRM+5JPnpdVttPmjmGWJNn+UZVvbqcx38tqGXTzxUR3huIrNIlOR56A420pbIE5Rti01qf4q2dDoIxBNYDVJxBStW4xoCKDFH6cwW9njuBo8YTpDccaUZLO5JTDge7e/gqzZF2FHe5AtzRq5TmsfEd/gCdPsj2I3y3hCcaKKhgxEEnEeXboDkJhadejFd5LhRS5+NGNYxijvpEo38YRGqzdCSNEACEYUIrEEFrNMsy92wM/7lxlt/CojmQYGBgYGBgaHBkNYfUns6yR7VW0nn9Z7CEQUognBkuo2po8sGrDAGF7kYvqoIuo6Q8QTGi2+GE8sr/0aTOQkVE2Q0AQS4A0rPL5sB+9ubqUrogAQUzV8EYUhBVkUZtu47LiqQzLmiRVu7BaZtoCCAFRFkJQqAjDL0h7H1eyL0OyN0BmMMWpQ9oDv3b48K8kJOsCbm1qIJzRcNhO5Tkuf8HRlvpPSHDv1nSGi3WJE6z6Z1kCUp1bWsb7Bu0+RtS+b4UWuPlG3pOhs9oZRNP2OSIDFLKOogiFuO13hBJuafMwaXbxfIuZAoo0D2fc9b1XT7I9SmmPn6lNHf22u90AwRKGBwTcDt9vNkiVL+iwzMDD46jCE1ZdEf2lN/SMRT2jEVX0yH46pKAltnyYyU6vyeXNTM1/sClCUbUVRxSFJqevJ6BJXqgZGliSQoLolQExR09YrzrZxxuQy2vwxmn1RtrcHv/JxzxpdzLEjCnh53S40AWqvLM62QKzfcS2tbuPxZbV0hePYzDLnHVUx4PEP9FnpOfmPJ1T8kQSlbjttgTjZdnOf7YYXubj61NH84pk1eEJK2meKKghElQGlNx7KSXVSdDrMMl80B9B63BMZsJplOoJxcp1Wxpe791sgrar1sLU1wLiyHFr8sYP6vXltQzOf1HbisJpp9UdZXef5xgiUL1NwGhgYHFysViuzZs061MMwMPhOYwirL4nhRS7mjC9hY5OPCeXuvU5GplblU5RtwxtJAPqkfml1G397bytXnjhqwMc9ckgeu7wRPKE4siTtU43Xl0VCE8QTAkkSfLy9g45QnHhi97hkYGhhFv9d00B9ZwSLSWJSZS5Xn/LVvtnf3h5kU5Ovj6AC3Swhqqj9ToqTaYTluXYaPFFqWoN9d9IPe0qB6zm21zY0s9MT5qgheXxa30WOw4w/AiVuG3PGl2TcrsETptETSVsmARaTRFsgTkm3uUkmvg6T6qTofPeLljRRZZZhzoRShhQ4qe8Mc9TQPGaNLmZpdRudoTgl2TY2NfsHJGK2twf5cGs7Lf4orf4okypzBxxt3JsxS3LfgWiCQFTBZjbTHoilPvu6R4J6CtvVdR7K8xz88oSRh3pYBgYGBgYGX0sMYfUlsb09yJubWugMxWnqiuzX5EnR4IXPmpg3sWxAk8PHl+2guiVAQ1eEhKrhDSuHPB2wPRBHBkwyqBq0+GJ6Olo3WRaZQbkOtrUF2dkZQRUaboeFFl90v6MG+zthbfCE6eoV2QE9BdDtMGO3mPrddmKFG5tZpqYthEmW2N4e3KeoW+8UuJ4k7+1OT5gWX5RP67sYnO9kUqWbNze14I8kWPhJPe9tbmNiRS7zJu52/Fta3UY4nh4dNMkSTqt+LjNGFfV73L2ZY3xZ9L5/c8aX8P6W1rR1inPszJ9Uxn9WN9DsjxKJq0ytKqAy34lFlnivug0JWLa1fa8mLg0ePcXwxNHFbGr27/Ga9GRpdRu3vPIFgWiCbLv+q7S3uGrwhEloAossEVIEqpbglXVNFLqsrG/wfS0jQT3TTTc0eqnrCFLfGUYIePrjeiaU9+/uaWBgYGBg8F3GEFZfEvtaY6VHIyJ9lptkaUAT2mQqkyYESkLDbNKjVU1dkUOaDjixwo3TaiIc6lHj04O4phGL62mPTptMZzBBVNFw2c3s8kb2OSWwZ5TFIktMH1W0TwYNsUTvEerOjnFVY3y5u1/nuVmjizl/SiUvr2tibFkOEUXLeN0P1P2vKxSn1G1nzvgSmn1R2gMx2v1R2kMKnzcF+KimgzX1Hv5v/jiGF7nwRRJ9InASkGUzM77czWkTSvd47J2eMJt2+cixW76S6OfS6jaeWF6LogpyHRamjyqiPRAj224hENWfjSybiQumVPLSuiaWb+8g225Jpdh9b8pgDivNobo7ra+/+9CTZFSsJRBj9KDsAbsLJqOUQwsc1HVGUjVevfdtNkkoQq8x1ARs7whx/3s1uJ1WjhqSd9BTDw+EniJ+Z2eYuKrhj8ZRVIHTasIbVli2td0QVgYGBgYGBhkwhNWXRHKy9ml9FxbT3lPyPKE4mhCpyA6AzSyTn2XZa1pSz1Qmf0RBFaAm9Imc3WI6JA57SWaNLmb6qCJeWrsLDTBL+uRSN4MAIaA9GEXV9PN1Wk2MLnEhAe9vadtnc4WkCLGbZdY3+GnxR/dpH0U5NsIdfcWIpgmO2kvkY97EUnZ5I6koRO/r3lM0DM537tN5tfiibG72k1A1HFYT/1ndQDCeoMkbwdedPiqAhKalxDRATWsgbT8WGWwWGbtZ5rCSPfc2afZFURIaDrOMktBo8UcHNNb9ZXt7kAeXbGNrawCHRSaiaFS3BogpGvHu867Md3L6xFI+re9ida2HqKIRU1SybGaqWwIsrW5jS7OfQDTB8m2djC/PoSLPsUdBO5BUzExMrHCTbTdT1xkh264L1UxElASqttsIJRm59UUSeIJxjhyad0i/oz1Jfn80TcMbieOymbGZTcSUBIqqYjaZEOjP8tc5hdHA4LvA0OteG9B6dXfO+5JHYmBgkMQQVl8SyRSmJ5bX4o8keGJ5LdA3VSjJrNFFvLGpma5wDAlwWExYzSac1r3fomQq01GD83hv8+6UKSn1f4eOpdVtLNnSnopUJQTYzGCSZADiqobVJBNUNTQhUDVBbUcITYNTxg3ar7f5Lb4oncE4sYSKpdDJTk+Y1XWejBPrnr20ACryHHjDcXwhhWQCnRC62cOGRi+LVu3cYwSsLNeOw2piZq90su3tQZ5YXsu6nV6sZglvOJ4SPwOJYJW47RRnW/miOYCqamxs8pFtNzOmJJvVdV0psSpLEuV5et1UgydMRzCGqVvMSoAsy+Q5LXSG4jzzST2vrt/FZccP5ftTh2Q4qsBkkrCbTUQzRPIOlN5iZ1Wth/rOEEpCS4nFmKJiNsmMK8uhIxhn/qQyCl021jd4iSm6FX48IXBYdVOUHe1B/JEEdrNMRyhGZyhOgyecSsvtL+0umYq5vT04YNGQ/C5vavJR4LKmzqnndq9taGZbWyj1siSJBmhCI5pQGZRjT6XefR2ESosvSlc4TkIVBCIKoKeO5jgsVOTZafVHWfjJzq9dCqOBwXcdITS0SPrLNNmRfYhGY2Dw3cQQVl8S29uDbGj04Y8kiCdUvtgV2WO9U2W+k9El2dS1yyQ0DYfVzLHDCwYkLJLRsfWNXjR0M4jkPC4SVw9pmtGGRh9RRUWC1Bt7h9nU3YtIoGkQjmtI6BPkmKrLGUUVrKnvYmLFwI0EkpS47Zhl2N4eYl2DF5fNzNMrFXIcFsyyxLAiF6NLXFS3BHh1QzNKQiOW0MhzWqnItzNrVDFLqtsIRhUSGtgsEvGE4KOaDjY0+DhyaF4fY42ezXgloNUfTbvXDZ4wbf4YYUXFHxUEYyrrG7p4Y2PzXutsKvOdDM53Ut0SIK5qfN7sR5YkIooZf9RMls0MCCRJYlxZTsqu/rUNu2gPxFLRN7MJrCYJTyhOTNHQ0J0O73l7K6VuRx/RP7WqgMkVHTT7oxyWYz+oDXiT0Tt/JEGOw8xlx1UBArNJxiTvfhsQTQhIqGxpCeCymdnc7N8daet+qMwmiWy73vS4wRMhFFNoDcSwyNDuj/HB1vYBpeXuj1lHZb6TZl+ENze1EIgmKHHb054NTyiOqoq072SSuAqqpvJpnYfGrsjXRqiUuO0MLXCyqs5DLKEiBLhseuR8+sgiPt7R+ZXX3RkYGOwdLRKg8f4fpC2r+OXCQzQaA4PvJoaw+hLoWafQ7IsQT2iUuO17tD9v8IRJqIJsu5ldviiaSLC9PcTgfOdehUUyOrZplxdVCDT0OafJJJE/IKv3L4+JFW7cDgut3U5oAN6oLp4cFgmhCSxmGSFEt1jQiCc0kGBMac4+TzQr852YZYnajlAqJVJJKCnh1OqP8nFtZ3dqpkRC7a59QRdDXZE4FpMJVRN6ZCeoEFcFqoCooqFpcaozTM6TzXhldFFY1xFKWydZayMEOC0yAj3SIZD2OuFPpqo9/XE929oCCE0CSRCJqURiKnFVSznmran38NvnQ1w0bTC1HWFkScJulggpGkJImGSJYERNiVwZ3e0wU31Q0q59X1Pk9kYyereh0Ze6708sr+Wy46qYXJHLyh2dwG7DDRlwWs2ccFgxLf4YxTk2Rha7WN/gxSSBRZboDMX5YGs7BVk2JlW6dSc7qxlNCPKzrETiKptbAlhkqd/avX2ti0yK6VV1HrrCCrmOvnbqs0YX8cr6JjozmKIk0wNbfFEmV+Z+LWqtKvOd5DosbGzyEevufaYLcz2aLEn6eGtag2TbzV8L11EDAwMDA4OvC/L+bNTc3Hywx/GtoqfZgFmWMZv0ifSeRFJlvjNlgZ2fZcVpM3NYSfaAhUWzL0KbP5a6oVazxOiSbH4+e8QhnajNGl3Mn8+dyNjSbCwmCZt5dzQioggSAmKKhqLtFoRWs4zdYmJoYdY+j314kYthvbbRAJMELf4IcVWQUAWKqgsgwe5IgoYunrqCMcLxBO1BJRUBBD3iFlcFvojSZ0JZme8k22amMxSnKxxnly/Kki2tbG8PpsZ18thBOK16Wl0sobGpyU88oQ6o19nwIhejBuk9wUyyhKLqaZQJTZDQ9MmvKiCW0KNQDy7ZBgjs3bVK+gkIvJEEPUeuAXazrJsqtPe1iB9e5OqT1nigNHjCKKog22YmHFdx2Uwoqh5xO39KJTn29Pc9Av15Tl6vkhw7M0YVU5rrYFhhFnFVEO02QJEkyHVaGVfupijbxuSKXE6bUMqPZgzjxDHFIOm1e48v29HnfPe199yq2k4+ru2kMxhH1QSekII/oqTs1EF//i85tooilxVzhrRcDfBGFN7+vBWLSTokL0G2twdZtKqeRat20uAJE4onCMYS3Y299VTYcFztjgracDsslLntSPCl190ZGBgYGBh8k9iviFVlZSUnnHAC//M//8PZZ59NVlbWwR7XN54WX5S1O7uIKho2i4wswaTK/vtZDS9ycdlxVTy4pCbVy2nfJi16upoQYDVBjt3CqeNKmDW6+JD3y0lGQq75z3q6wrr9umB3aqDW/X8lOVZCsQRKQkPTYNGqnexoDzK1qmCfnP1mjS7iuU8bUHrYjMdVPTICIq0fUm8kwG4zYbeYsJokgnEViyQh0EhoYJX1ZsaSlD5LHl7kYu6EUpq8ETyhGIGowuK1TbQFYlx9ymgAdnmjOK0m/FG9fqjZF0WS4JcnjtyrJXhSBAwucFLdHEBCt+OHzCejdJ/vj2YM458r6vSapQzRBatZIj/LxsYmH7u8kYxCfm+9mvaVZFSkxSyTY7dQmG1ncL6TXd4w/1ndmKo9S2KSIa5oNPsixBJWHlxSA+j90Xb5ogghcFhMRBQVTyjOup1egjGFomw700cVps5nVa2HFl90j02AJ1W6kSRpr/cD9FYCodju6J8AYgmVtz5vQQhStvfzJpaybGsb7cF4n31IQI7dTLbdPGCb94EykO/99vYgN7/yOWvru9CEoDDbhi+sEIolUi8cXFYT2XYzw4pctAei7PSE8EcSmGSJNzY2p67Vof49Y2BgYGBgcKjZL2F1yy238Mwzz3DJJZfwv//7vyxYsICLLrqIU045BVneryDYtw6bWSbRHRFREhoRRaUzw8SqJ7NGF9Psi/Lcpw17nPxlotRtx2aRCcZ04aAJ2NzsZ2l1214L95N82ROjLJuJQEzGLIHJJBOKpbvvBWMJirNt7OqKEFFUQl6VF9fu4t3NrUwfWZQSKHsbY2W+k7JcOzVtodQykyThspno7I5CSez29UiKPBnIcZipKnCxrTVIMKZikSXcTgvNPj0KEdf0uplMKVClbjsmCfyRBJqAUCyRShsUQtAZijMo20aLP5Y6bos/RnsgtldRlaz9kYREntOKyZTAF1b6kVV6A+CjhuZR6nYwuiSHNn+UnZ4wve0OJaAzFOfoYfkZn7eB9GraH0LxBBKQl2XBbjZR3xnilfVNhOJ9TTJkSWJIgZPq1iDBWIKmrihmk8SkCjcbGr3EEhqxhIpJlnDZzHQGYzR6I9R2hNja7YpY6naw8JN66jpC7GgPMbHSnRYd6pm+azFJlOTY93pPPq3zoPZypYirsKXZT21biLe/aOGaU0Yza3QxlflZbGjyoSYEPbuKCfSUwFEl2Qgh+Nt7NQdFwA60XmxVrYfP6rsIxvRRhTojafWQAKG4iqJp/Gf1TkyyTCieQO4e99bWAKvrPACHvJm0gYGBgYHBoWa/hNUNN9zADTfcwNq1a1m4cCH//ve/eeaZZyguLub73/8+P/jBDzjqqKMO9li/MVTmO7vTaHb3rpElCW0AE6epVfmsb/CyvT00IJv2JM2+KAVZVvIcFhq9ESZVuvGGFV5ev4sWX5SjhuQd9ML9gbC9Pciq2k4WfrKTFn8MkySQZRMlOTZ8URNt/lhqEmc16VE3jfRC/0BUpbpFn8Ct2+nd6xgbPGFcdgtZFrnbJAOCcZVgXEUGJEl/C2+SJaxmWa+dEoI8pxW304JAv4duuwVvRMEfiSNJu1MCVU30iSYmG0JHFC2lXZQeIiyZZtYRiKUZGcgS1LWH9uhE19NCvjMc1wW0bw+iSobTJpTy/alD2N4eZHC+EwC7VabNH8cb1seU0MBmkgnFFD7Y2s74cncGi/h22gL6s+UNxzPWYu0rq2o9bGsLoqgaHYE4O9pDfeztk9jMEkPys5BlGZtZJhhNUJhtpSscZ32jV1/HIpNjN6NquptmY1ckpQy8YYUnPqrFajFR3RJA0wSSpNEVSn/J8dqGZpZv60CSIBLX+hjN9H7p0OAJE4glyHZY6Aqn108lNN2UorolwN1vV7Oh0UdNmx9JL+tDFvoziADZBFVFWRxWks3jy2oPioDd3h7s7osX3uv3Xo/gil5Leq8BsYQg1iNxNikO2wNx/rumgU92eFjf6KXIZaWxK5xWZ2ZgYGBgYPBd4YDCS4cffjh33303DQ0NvPPOO8ybN48nnniCo48+mrFjx3L77bezc+fOgzXWbxQ5TjNWk4RJgmy7mSOH5PGvFXU8tmw7v3t+A397r6bfmpY540uwmCQUVfDmppaM6/Uk2cfKG1F0AwVJoq4zTIsvSm17iBZflE/ru/ZYN5JsMFySY6MzFO+TjrU/JMXafz5tpNETRpL0SacmNMwmmaOH5mM369fIJOn1TZ3BGJnS21RNT3NMmgvsaYyV+U5MMrtri3qgoWfE2Sx6P55QTEUTAptZRtM0attDLNnShj+aINrdaNluNeMwy6jdkUBNwLKt7Wn3JWl8MLLYhVnWz8fabR4iSVLKgOKEMcWUuG3I6CluOXYzHaEYCz/ZmbHuJ8nOzjDLt3fS0t1byiTr6aW9kQCL2YQnFE8ZNPxoxjCOGV6Aw2KmIMtKjt2M1SzrIkJRUVSBL6zQFugrFj+t6yQcU9npiRBNaClb8QOjO5Kr6iK6v/Modds48bBB3DBvDD+ZOZxfnTSSCRVucuwWsu1mZEmiIMtKTNFo9cfoCsURCMrz7JhkCQ39HgRiCToDMczdyyQE4W63TNCjcv9aUUtjV4SdnggxJUFjVyQViUmaVNz3Xg33vFXN9vZgqqYuGOtrSqGfIQhNUNseYtGqera1hbCaZUwmyM2y6IYt3f0QdnVF+e9nTbQFopTkWAlEE2xq8u3XlU1+5z7e0Zn2vRdCsLS6rc/zNbWqgLGlOfv1h0BC7++2qcnPu1+0UNceYnVtF7XtId7Y2LzX31sGBgYGBgbfNg5K3p4kSUyfPp3TTjuNadOmIYSgpqaGm266iWHDhnHeeed9pwwvGjxh8pw2Th1XQmmug6OH5bOtNUhnSCGqqLQFYjy/pqHPRDrZQ6fZF8VqNnHUkLwBiZxkH6vDirMJx1Ui8QQt3giSBNNHFlLitnPs8IJ+Izw9Gwy/v6XtoBXRJ8XG+NKc7n5DukmFSZbIspn4aHsHCQ1kWZ+IBmJ6ypEsyeTazcjdgssiw+zDiplalT9gc4Fot4V7f4RjCWKKnqIpoQuLJl+MUFzFH1FIqBoJTcMsy8QUDYtZxirr5huTKnJSDo9JkhGprrCCy2bGaTWR57QyuiQ7Nc4GT5i3P28hqmiU5zkoy3Uwc3QxVrNpr2Ix26HX4Zgk3ZwioWqpkqlkWmNSoKiqRltAT+tLRgyXbW2nrkMXtw6rGZMsY5YllG7ji6ii8kWTn9c37v6erqrtZJcvitms/6IwyxIde0lnHQi6jXsueVlWrGaJDPoXs0lP6zusNIfKbtOXUreDOeNLUDSVdr/eo2p7e0g3IRGgCUF7IM6E8lzmTypjcJ4Th1V3eNQFdfd6QCyhpaLBL63bRUdodwTQH1Np6oqkxMGq2k7WNXrxheOsa/SmojFzJ5RSmuPA0s9vUd1MRMUXjhNVNCJxlXgC/BFFd74U+nUNxxPs8oaJxFW2tgaxWeR+mw3vjeR37qgheanv/ZzxJby5qSWjeB9e5GLGqKJ+o5+Z0J8FUvGriKIhSbrjpCxL2C1ymjA1MDAwMDD4rnDAdutLlixh4cKF/Pe//8Xv9zNhwgTuvvtufvCDH2A2m3niiSe4/fbb+Z//+R/efffdgzHmrz3JSbZer6FPMjpCMeTuiI0EqSatyRSdnql4FlnCYpIG7E6WPN7ybR0kVIFJhrCi0R6I8Wl9F4PzncydUNpvak7PBsOfN/sZU5qz1zSegdRjJce1vSOE1h1xEugugLlOKyU5KiaitPewolZUgd0sUZbnIDeWwBdNUOiykue0sqrWw5zxJUiSniLZX1NVXRBEkGVQtd1vD3rO38M9ZvOBWPrMXgMUVUPVBFlWCUnSzUBy7Lpt/PpGP0cPy0+7L8lIY7MvQqnbgappHDeykIumDU3d3wff38aOjhAy+uR6cIGTKUPzWN/gS1mBr2/wsssbSTPrqMx3UuSysa01kCZCetaIgR6Jk9An9F2hOLu8Yd7Y2Mz6Ri/N3ig5DjONXRFUTRBPqCgaPepp9NTA9BQ5CbMsISMR747yPLu6gQnlB1YD1NPG/amVdSypbktroJsUijs7wzz3aQOvrm/C7bSS67TiDcdo8ERRu0VS8vxVoZ9/JJ5gS4ufiRW5nH1kBUur2xhXlsOndV0EIgoyAotJTx1MGpC0+PqKWYtJIhBNdAtdSb9OIr3f9tSqfN7YmEWTN7MYNknofdq63VIS3eNN9lqWgZi6u3ebRQazSebksYP2+/r2dDZMfu97upRm6j21odHXr7Ayd9+M5Jj1iKiE1sMBRkL/voCe+hxVNILRBMu2tg/IBMTAwMDAwODbwn4Jq/Xr17Nw4UIWLVrErl27KCkp4YorruDiiy9mwoQJaetec8012O12rrnmmoMy4G8CyfSr1zc2s3J7J8MLs+gMxlA1QUzRkGVo8cUoz3OmRTN69tA5cUwxpW7HgPoHJY/XGYqxyxdBE/qkzu2wcOzwgj2KKui2epclPt3ZhYRuepGpz0+SgdZj9bwOO9qDhLtd+hJCIAmYWJHLe1+0pG1jNUlElAQNnWEkWZ8wN3RF+OeKWuwWE5Mqczn/qMo9GnK0B+KEY4nUZNAk6xGQiDLw9/Juu4UGT5hYQsMiS5TnOWnx665+TqupXwc3fySh21VHE+xo322esaq2k3qPLqoiiorTasZiklnf4GNSpZutrUFW13WyfHsHEjCpMpf/mz+O4UUuhhe5OGpoPh/v6KRnmmSms5GAomwrDouZV9Y34w3HU+Ypet8kvfYP0htJK5puuz5y0O5zmlqVz1FD81ld6yERVqgqdOINJw5KnRXALm+YnZ0htN4RK0k/j4QmaPZGUAXIcoijhuTR4osRTyR0oY5eq2SRQVX1f1stMiOKXVS3BijPczBqUDYt/hhmk4TFJKdcGU3y7qhsibvvi4tQXCWuqlTk6d/BSZW5tPiilLh3N0pORq22tgboCMRSwimJJvo2BU77nHRxnNDA3K0W91RztyeS37mevccaPOF+e09tbw9S3xnKuC89XVXisNIcqlv8JNTu9gi9TlQADqsJl1V3yzSbpAE3NzcwMDAwMPg2sV/C6vDDD8fhcLBgwQIuvvhiTj755D26AY4bN45jjjlmvwf5TWR4kYvTJpTS1BWhJRDjsJIc6j1hOoMx8hwWXA5L2uS8dw+d/XnTa5FlXDYzoZjeG6iqKIsCl40GT3iP0aXhRS598tQaYFxZDhFF2+OEaG9vwDNdhw+q2+gIxFAFWGWJrkic8RW5FGbb0iNW3a5p8e63+PlOM96Yqjc8liWqWwJ8sLV9j41ci7Jt2C1mVE1B1br7T/We9e7xOkJJroOOUJxCl5VgTKXIZaWhK0w4punpnBms8Jt9Eeo6QwQiCmaTRG17qEcRvz6xtzjk1BiPH1HIp/Vdeg+yQIxtrQHdxEHA+gZvXwOAPeQ2Suhi2mSSiMRVOgJxGjz6hNlmMVGR5yAUTxCKJjBJuruh1H2uiqYLzxyHOc1GfniRi6tPGc3TH9ez+LMmmn1Rcp3W/U5TS5IU5qtrPdR3hvoIRKtJwizpNYZJkwRVg8/quzDLEnFVd760msBlsxCI6ml8JkmPLb2/pQ2zLPOW2szI4hwmVrg54bAiHl9WS1dY7xN38thBqYjnmZPL+HBrGx09nkMhoKkryqraTkrdDs4/qhJJkvq86Ch123FazchyvI/jYsqgBD1N02YxAYJYQnTXUOprJF8ACPS0ulfW76K6O+K0PyYySTHekxK3nQnlVtqDcVr80ZRwa/CE0QRYTJBQ9TFYZAkBlOfaaemuXXPZLHhCfdNATehGFv5IApfVhNNqxmySBtzc3MDAwMDA4NvEfgmrf/zjH5x77rm4XAP7gz979mxmz569P4f6RtPz7fEub4RX1u/CIku0B+KU5O5+89173YFEqXqTTOc7Y2IZn+7sYmxJDh2hGE+trKMzFCfLZqbAaeXnJ4zoE23Y3h5kS7OfQDTB8m2djC/P2eOEqNkXYUd7kC3NekrfQJwLi3PsFOXY8EcTjC/LpqFLn9yZZLnb/VCvgbGYZTRFS022PWG951NE0YgqcUKxBEs2t+KyWwjFEhknb1Or8plY6WZtfRfxhEaOw0xHMLPJQG9MEowuyWHasHzW7fTSFohjNck4bGZMsoQwScQSGq+ub2bexLI017g3N7XoPbi63+q3+qOpPj9Tq/IZUexiR3uIgiwrDouJT+u7UiYlpTl2aloCkHSM64UnFMckSciIPlEQt8OM0l2/pmp6E+CeWDSB22EhP8tCfWcEq0nCG1GwmWV83Y528YSgIxDj/vdq+GRHJ1WFLoqybYBgdV0nsYSKJEmUuG1UdrsM7i9JYe6PxPtEecyyxOTKXDqCcZq6wkR7raCK3fb4igpyt7OjQ5aQJYmIourpsCaVz5sUtreFKHDZuHXBeP5v/lg2NfkocFlZ3+BjY9POVMTz6lNH88B7NTT5dlvhB6IKT3xUx5DCrNR6AItW1QMSU6v072+J244QgtrOcMbzFUBBlpWrThlFRzDOW5+3sMsbQYsKlG7n0G7DQCRJb8Zb5LKmpQrvD8l0XdCbk3eG4uQ6LCzb2o6iCgqyrMwZX0Ke08LOzt0RULtFRlEF3ohCrsPC6NJs6jpCGYVVUvgmNMHOrig5doXhRXoz8DnjS4xolYGBgYHBd4r9ElaXXnrpQR7Gt5fk2+OkQcS2tiBStwNegyecNvHI9KZ5oFTmO7GYJD5v9lNVmMWQwiw+ru0kFEvgjSSwmuI0dUV4cMm2PpGrVbUetrQGEEIjltAIxxP9HicpIOIJDZfNRK7T0qdZbm8aPGEUVXDSYYN4r7qNjqCCBIwry2F7e4jRJdlE4yq5WRba/THqPbtrVmwmCQ2B0v02PRLXqPdEsFtijCh2ZZy8DS9ycflxVbycZWNTkxdftJfQ6E4xzLaZCMRUhNAjCqrQo2IOqwxI2K0yNqG754VjCcIxNSVqmv2RtIhS8hzzs6yElQgWWcJlN6eK+KcMzUcIfbIeVTQsoTg5Dgsnjx1EVNHY6QlTkG0jGFFAgpGDXCnhvbS6jTc2NhPtITh7novbbgF0EwRPuK+AzLKaOeGwYsaXu/nP6gaa/VEmVuRSnGPnv2saiCp6vVVCQJM3yotrd2Ez6eNXBQQiekTIYpIIx9QDTu+qzHeiqFqqUXJPZAkC0QSyBEL06qgkSd3L9fROTYOCLAvtQhCK6r3DBAKrWSae0K+VELpgXLa1nR9MGwLoNUVbu6OzyXS1UreDHKeVVv/ulD5NQDShMqYkmw9rOrjzjc14w3GavNFUuub5R1UyON9JJK7i8EWIZIiMCqAjHKc9EOPKE0dR6LLx3KcNWEwSa+q70sSlWZbIsZtpD8YPKOKztLqNJ5bX4o8kyHHorqTleQ6EgI1NvlS0t8UfpTjHjsu+2zY+FFcZnOfgyCH5dIRidATjeEJx8rIseEMKKnqEK9tmwRtW0oS+ogrGl+vXdW+/FwwMDAwMDL5t7Jew+te//rXHzyVJwm63U1FRwRFHHIHNZtuvwX2T6fm2uNmnF8AfVppDXWeIeEKjxRfr0yvngOl+m5+ciyqqRjiW6P63wGGRCMUSaRPj7e1B3tjYTKMnTEITOK0mVI1+J89JAVHqttMWiJNtNw/YXKMlEGNyRS5jynJYXedh0y4/pTl2fjxjGC3+KELoIq/Zvwutu55DQ09RSpKcxMUUjbqOMBsz1PskxV+LP0pY0dA0gdkkkecw0xlSkGWJRELgj6opowStW1yV5NiwmEx0heM4LCasJhlfVGFdgzdtAhntNgfpeY7JCXY4niCW0IVDXNV4Y2OzLqpiCcyyRELViCf0KNybm1r41UkjmTuhlPUNXby6fheagCKXPbXvDY0+ooqG3SylTdxNEuQ4rAwtygL09EGt77yesJJgfLfhRGW+MxUVBdjU5OXzJh9Krw0T3dGvsKKmnPTiCZFWm7Sv6P2VdrGh0UdTVzhV69UTgaAjGCOWEKi9iq+sZpkyt532YJxoPIGQQJZlhhe68ITjFLmsbG0L6sYKQnf+A918RECqAfD29iCBiEJ1S4AxZbtdGxOqliZyLCYJTcA7X7TS2BWmpk3/HiXdGes6QkiSHpkpz3MwqdLN6xuaaQ/G+whgVYNnVzcwb2JZqlfd+kYvsqSLqYQmcFlNTKhwM6okh8NKs/fb+GHRqnoeWbqDzpBuMS8EVLcEGFbkItdhSTPGEUI/p+JsW0pYJfvuNfv1dg1jSrNpkiXiCQ2LWcIuSVgtJl3c9jq2LOlicWJFrpEGaGBgsM+89dZbzJkzJ/Wz2WxmyJAhXHTRRdxwww1YrQej5ceXTywW4//+7/946qmn6OrqYuLEidx6662cfPLJ+7yv2267jT/84Q+MGzeOTZs2pZYvXbq032ywlStXMm3atNTPTU1N/PjHP+bDDz+koqKCP//5z8yfPz9tmxdeeIGf/vSn1NTU4HZnTvnXNI1BgwZx7bXX8tvf/nafz+W7wH5HrJJvI3ungfVcLkkSOTk5XH/99d+pG5CsIdnpCbOzM0y82zGrOMdOQhW0B2MUuqwpy+6DIaxW1Xpo8UcZ3/0WvjjHhtthoSOgp+/oxfECp82UNuFJNjrNc1rwdaeQ7UksJQXETqAw28Zlx1UN2FyjsSvCki2tvL6hGV9EIddpSdUNrdvp1dPDonHsJpmAqmLqnnSCQFXTJ3EaumB46/MWTutlzpE0Ail0WalpDTKsKIv1DV6CcY1sh6W7/1AiNZGU0BvRlrjtlOXq5zdzVBGt/igtvigapFLmkph7NV9KT/sM88gH22n0RIgpGpua/Bw1NJ9sm5lALJGavDtMujvgki1tXHj0ENbUd9EVTlCUbcUbUVLPxsQKN9l2M80+fQwOM6hIjCt1c8HUylRk6843NvNRTQcxRUu7VrGElhKgyeu0qraT9oCeIlqUbafZH0HpKWCFfmWcVjMhkcCMwGY2c8q4/Uvv2t4e5OaXP2fljo7UcTJVZSqqbj7idlowd6eFyrI+npzusR4/sohP6zyomqAo28ac8SV8WNNBiy/KsKIsBufpQnNjk5dALEFhlg0hBFtbA1hNUreRjP6d2Nqy293SZjbpva66jTEKXTaKXDacVhOt/ihluXa2tATwhuOYZRkkiSVb2mgLRPXUuVAcm8WEy2YiGFP7iCut+4XFzFFF/GjGMJ7+uJ5GT5hwXBf4kYTKF81+6j1h2gLRtFThgbK0uo373q2hMxhDE/rv4zynmXhCo8hl1fuRKQmQJCaU5/RoSJ7ec2pHZ5gd3amNnlCMiZVuKvOz2NLsJ8duZkOjj6Da15pDExqybKQBGhgY7B/r168H4C9/+QtFRUWEw2Gee+45br75ZmKxGHfcccchHuHAuPTSS3n++ee56qqrGDlyJE8++SSnnXYaS5Ys4fjjjx/wfhobG7n99tvJysrqd50rr7ySKVOmpC0bMWJE2s+XXHIJTU1N/PnPf2b58uWcd955bNmyhaFDhwIQjUa55ppruPXWW/sVVQCrVq2io6ODefPmDfgcvmvsl7Bat24dl1xyCQUFBfz85z9P3cCamhoefPBBvF4vDzzwAK2trdx///1cf/31ZGdn87//+78HdfBfV3pO7D9v8mMxQTShUdcRSk3Ig1GV0SWWfgXMQOzMe66b7EPV6o8yqTIXIQRxVSDLEqZuK21JkmjxxdJSECvznZTm2Gn163bcQwqy9iiWkgJidZ0HIfTtBzLW4UUuXtuwi6dW1qdq/OMJlVynlY1NPnZ6wvjCcdoCcVwOM4omsJtlNMCkSYQ1FUmkJYZhliTa/LE+Jg897e6z7WbiCYHbaUWWwGUzIwEdQTWttkWWJY4cnM8Zh5en1bhtbPKxoz1Iqy+ClhCp48sSrK7zpLknJlM5k7VjekNkQTCqC6K5E0rpCOo9qHZ0hIgmdJe+lTs6afZFMcsyxdlW2gJxirJtqWdj1uhibj1rPM98XM/HtR6iiqpH3TSNkhx7KtXUIstk2y3IJPRIU/dYJUlK2agnm92ua/QSU1RAojzXjiccRxJqt5EF2C1mxpXlcPSwfD6s6cAT0k0fJhxAf6XajhBqhuhjT5JOhTFFxWnVI4aaEJhlvbbNYpIYNSibxq5IKp1N6g5JRRSVQDSBqoIvol/zmKIRVlTe/aKNuKqnuSZFFUAoptuCzxhVRI7DQpHLSrNfj0Q2+6KomuDCowfT7IvS6o+T67DisJooz7WzoyPMhzXtRBWVI4fksd4TIhJXM4oqkwQV+Y7UPR1e5OKiaUNYXeehuiWAjEDtNhSxmmRafNH9eumyodFHMJpAliWUhMDefS8FsLU1SE1rICXs6zpCFGXb+NGMYUwenMvf3t2qOyjKEO92WZQEqEIQiiXIsVsozLaxqclHJENaKoDFJLPLG2HhJ/UAB8U90sDAYGDIVieFZ17XZ9k3iQ0bNmC327nyyisxmUyALlKGDBnCs88++40QVqtWreLf//43d911V8oR++KLL2b8+PH89re/ZcWKFQPe1zXXXMO0adNQVZWOjo6M60yfPp1zzz23331EIhHef/99li5dyowZM/jpT3/KihUreOutt/jJT34CwN13343b7eaKK67Y43hef/11hgwZwrhx4wZ8DpkIhUJ7FIvfZParQfBf//pXBg0axLvvvstZZ53FhAkTmDBhAmeffTbvvvsuRUVF/L//9/9YsGAB77zzDtOmTeOhhx7a636DwSA33ngjc+bMIT8/H0mSePLJJwc8Lq/Xy49//GOKiorIyspi9uzZfPbZZ/tzigdEcmLfEdRT5RQNEt0pRLIkceTgPMryHIwpzaGhOzWpJ8mIV6aGnplIGlecOLqY4hw7Y0pzeGFNEx3BGDaTBN3NO0cVZ3VHUHypbYcXuTh/SiWnjivhf44Zyp3nTBzQZGjdTi/vb2njnrequeft6gGN9eMdHt06u/tnXySBxSQxodyNxSR1CworbrsVm1kmlhBISBTn2CnIsqTtSwJcdjMWU986jqT4+8nM4fzf/LFUFWWlDCGavTGavJFu6/HuNED0NLedXeGUqEqmE25o9BFTNCZUuPU0QbnbClwVbGkOZGyCWpnvpMBpRZIkrN21SkXZNt1UoyKXIYUuDivJIcdhwWaWSSQEDZ4IZpOE22llbFl2H3E7a3QxvzttDCeOKabAZaU425ZKJ00KW0UTnDp2ECW5dgbl2LCZpe5o3G4b9QZPmGZ/FLtZxiRL+MJxPt/lJ6aomEz6nVFUCEYTbGkJsKUlwNlH6GLTYpL5z+oGFq3auddnMhNyhtSxPki6ecLc8SX8ds5hXH/aYRw5JI+qQhcTKtxcdlxVn0bRQoCiCUYWu/BHFNoDUVp8ETqDMYLRBIFInHA8QVWhE7Ms6b2ZukkaYSQjsWaTjEnWI5gyusCr6wyz4PAyLjl2CFefOooJ5W6avFHiCZUh+U4E8PkuPxaTzLiyHMwmCZOkP+cS4LabOWJIHj+fPaJPTeU1p4xmdIkrFS2LKBrhuEqJ276fqXSCiKKmLNFN3bV+wwqzQBJpqY4RRWPJljaGF7n43pTB/PLEkRRn27CaTPp3tDsFVNOgpi3Efz5toMUbwWU147Rm/tOhJDS8YYWV2zu55ZUvWFrdth/nYGBgsD9IZgtZhx2f9j/JbNn7hl8j1q9fz7hx41KiCsBqtVJWVobP59vDll8fnn/+eUwmEz/+8Y9Ty+x2Oz/84Q9ZuXIlDQ0NA9rPsmXLeP7557n33nv3um4gECCRyFwfH41GEUKQl5cH6C9bc3NzCYf1rISmpibuvPNO7rvvvj06fAO89tprzJs3jyVLliBJEi+++GKfdZ555hkkSWLlypUA3HTTTUiSxBdffMGFF15IXl7ePkXtvmnsV8Rq8eLF3H777Rk/kySJM844gz/84Q/8/e9/R5ZlzjnnHH7/+9/vdb8dHR3ccsstDB48mEmTJrF06dIBj0nTNObNm8f69eu59tprKSws5KGHHmLWrFmsWbOGkSNHDnhfB0qyWezGJh/zJ5XSEYyzbGs7CVXgiyhEExqlOXY2N/vZ0Ojr04upd0+rvb257lnDNHpQNkKQ6pkU1fT6CVUT1HsimGQJrVcfmzc3tXQ3M9ZFzt7ekvcc34fb9L5Lx48oZHOLLjT6i15NG5bPJzs6UxGrslwHlx1XlRJyDy7ZRjCWIKHpzXmtFpmEKtBUkRYFkNEn6Vk2M+PL3RlTpnpGj5bXdNAeiKGhmz0kNN38QALMMmhIuB1m6jtDPP1xPRdNG9LnHpxzZCWraj28vK5Jb3KsCiJK5l9iw4tcnH1kOU3eCFFFZViRK1Uvk0wXFELw4JIaNjT6sZh0Z7vx5e5UVChT3dg9b1VT2xlCUQUxJUGJ255KJ+39DATjCdY3eFE1FbMs8WFNB1OrCtIilPGEhiTpdTGg1+Qlr7EAokqCuo4QY0pzsJpNDM6z8V51Gy3+KOsbvAO2Ak8+Y06LXpuUvP89rSnMMtjMJkaXuDjvqEq+P3VIavupVQV93DJ7OmiCXl+2vsFLuLuHmAZIipYSKy6bGX80QZZNj8pubPJhkvS6rfwsa+relOc5eHJ5LZ6QbtjRFUnw+sZmXFYTp08qY3y5m/ZglI5AFEWD9Y0+xpXnMGVoPpub/TR7o1hliYgqUn2qNHSjlt5uiklxesrYUpZWt1GR56CmLcgxwwr4wbQh+5lKJ2Ez61G+eELvWaabYcSo7+jrWljbEUpFXZPX/NO6LrLtZgKRBJtb/NR1hrCaZGKKRiCawGbWXQN3HxGs3Wo1KdxK3faD2vPMwMDg2088Hqe6upr/+Z//SVu+a9cuvvjiC2bOnHnAx1AUZcACLT8/f69CIxNr165l1KhR5OTkpC2fOnUqoGd9VVZW7nEfqqryy1/+kiuuuKJPf9jeXHbZZQSDQUwmE9OnT+euu+7iqKOOSn2el5fH8OHDuf3227n99ttZsWIF69at4/777wfgt7/9LXPnzmXGjBl7PE5LSwtr167llltuYdasWVRWVrJw4ULOOuustPUWLlzI8OHD+7RZOu+88xg5ciS33377gNykv6nsl7DSNI3q6up+P9+yZQtaj8Jzm82G3W7vd/0kpaWlNDc3U1JSwqefftonZ3RPPP/886xYsYLnnnsuFRI9//zzGTVqFDfeeCPPPPPMgPd1oCQnkj0b2J42oTRVf9MRjKe5c31a38XrG5tTtUK9e1rt7c11b6v2VbUeLCYZums8j64qwB9VWLGtA01ILF67i4kVucwaXZyyvk6m4Q3EUKPn+Epz7CDB5pYAzd4wf3m7GpvFxIRyN1efMjptP1eeOAqAJdXtVBU4+fkJI9NSEotcNoKxhG5OoKiIuIokQWtAI6rsfp40IMti4qQxg1JOb/01VF1a3Y43omAxScR6TAZlScJi6U6TEgKHxURnKM4nOzqJxFXmjC9JnaNFTtrB6y8OTJJI9ZvK9MtBNwRpoTMUQ9NgZ3cfsaTY6znGB5fU0BlScFpM7GgP0thloqlbKKU7N3ayrtGrp0cKQY7dggByHZaU4Oj9DDR1RXBYEgghqOsIpep7rj51NKvrPKyq9fBBdRuxhEZMUVP9lJKE4xqe7pTWgiwrm5r9qKog12HZa/+yniRFaqnbzra2QMoMw2qWsFvMxBMqI4qyaPHHOeGwQWmiCjK7ZfZe9qMZw7jzjc1s7wgiIdC03X29dAE/FEmSWLa1ndr2ECZJr9tSNfi0R0rnL08YSWcwxsKP60k+clFFf/6e+WQny7d10NgVTpmI+CNxCl02TptQyoRyNy+v34U/qtDsjRBWNCT06N/7W9qIKlpKjPZssh1TVEyyRIMngstmQus2cUme574wscJNfpaN1oDeZ03VBJ/t9KYEZm9afNFUKu329iDrG3z4owksJpmfnTCCBk+YP7y4ifZgLGUCYpJlbGaZLJtMTFHJy7IwpMCFN6xH6Nc3+GgLxCjIsh1wzzMDA4PvDl988QWKolBVVUVHRweKorBhwwZ+97vfYTKZuPXWWw/4GMuXLx9w+5/a2tpUDdK+0NzcTGlpaZ/lyWW7du3a6z4eeeQR6uvreffdd/tdx2q1cs4553DaaadRWFjIF198wd1338306dNZsWIFhx9+eGrdxx57jHPPPZd///vfAFx11VUcd9xxrFixghdffJHNmzfvdUyvv/46drudE044AUmSuOiii/jLX/6Cz+dL1WW1t7fz9ttvZwymTJo06Sudix8q9ktYnXHGGTz00EOMGDGCK664IiWaotEojz/+OI888ggXXHBBav2VK1f2KaTLhM1mo6SkZH+GxPPPP8+gQYM4++yzU8uKioo4//zzefrpp4nFYl+ZO2FNUwf1O3cypryA7R0h6toDnDhW/0K9sbE5ZdKAkGj0hGkP6LVRm3f5ufrU0fvV06r3RHN4sYvPm3xYzTLLt3fgj+g23y6bjDccT71JTtq0twXi5DjMtAVivL6xmQnl7j02FO45vgZPmD+/vpnNrbvTwzzBeFoD5CRXnjgqJbCS6G5xzXgjCiOLXbT4ojitutFDttWEogpM8u5GqhJQ6nakRFVygto78geQn2XFJEuoqtBrrOwW4gkNTQicVjPjyvU3Sk1dEXLsFo4ckpeyik7Wki3b2s77W9qIKSo5djNd3Y1kI4rGg0u2U+p2pL2Vb/CEafLq0UG7WSKqqBnf3M8aXUyzL8ITH9XS4o/S2BXmiMF5VLcGMtwDPa1PCN04I9th1sVzj7S2nhHPUredvCwLjd3OlBaziV3ecEqAfm/KYEpy7GxtDdAZiFHgstEViqdZoFvk3WLyRzOG8frGZhZ+XM8ndR4cFn1/AyH5jG1pDu6+gUKvxznr8DKWbe2gxa9PyntPxLe3B1lV20myb1RPN8vekdGuUJxEYnefL4HeNLvEbafUrb+cmD6ykAZPGItJRgA5djOBaKKXSJT6iEyAuCqoaQulLVM0eO+LVjoCMVx2M96wQiiWSDkeJqNWZW57Wl+q5AsNu1nudgeUUDX9Gf28yU+23cKRQ/P6vJzYG6l6vE/q2djkIxBVCMc1MmTMAhCMqVS3+IHMkfLk/pZt1V9QtPiiDC/M4rVNzaiaoDTXQSCawBuOE1U0cp1yqmfbjFFFRrTKwMBgwGzYsAGAP/7xj/zxj39MLZ81axYfffQRkydP3uP2p59+OhdeeCEXXnhhv+tMmjSJd955Z0Dj2d/5aCQSyTjfTM6VI5FIn8960tnZyf/93//xxz/+kaKion7XO/bYYzn22GNTP59xxhmce+65TJw4keuvv54333wz9dkJJ5zAzp07+fzzzykrK6OyshJN07jyyiu5+uqrGTJkCA8//DD33XcfQgh+/etf89Of/jTteK+//jqzZ8/G4dD/nl588cXccccdPP/88/zwhz8E4NlnnyWRSHDRRRf1GW/v/X1b2S9hdd9997F9+3auvPJKrrnmmpQKb25uJh6PM3XqVO677z5AF1sOh4Pf/OY3B2/UGVi7di1HHHFEn7Dt1KlTeeyxx9i6detew6kHi6bNa/j3b3YXEv4LMJlMmCw2hMmCZLam/iuZLEhmGyaLlc9sdtb9q4DFT/+d4cXFfSZUbW1tvPTSSzgcDux2O3a7PfXvnv912u2MLTCzsw0G5WaxscmP0t3XJxjTKHDtnsAOL3Jx2XFVPLikhu3tIWJxlUc+2M7gfCeTKnL7Tffq2Z/rgfdr0kQV6L1wqlsCe71WyTf31S0Bmn0RvGErWVYzgZiCRZaQJJlsh0wwopDojoJazTKnTyqlwRPmpXW7qO8MpVIRe0dR5k0sZU29Hr2xd/enavZGUDUoy7Vz+XFVVOY7UwKqxR9LRQmTE2BFFanJ5szRxbz9eQvhuIosiTSRmqQy30l5roPGrjBKQpDvsmZ8c79oVT33v7eNtoBuNa8K+HBbBzl2M8+ubmDl9k4G5zv50YxhlLrtlOU6CMUSFGbbsJhkjhqSl3bOPaMgFlkiqmiYzTI5NjPZNjNvbmrBajalGsP+Z3UDbf4YqiYoyDZhNdmIxBMpUZHvsiF3m60ML3IhhG72kFA1/AmNFz5rYmpVwcAm/injEV1V5dpNyLJMocuWatw7vlcK5Pb2IDe/8jkbGryAxMRKNzfO1wtme4vpBk8YVUB+liXVt8xukZk9uogGT4R73q4m265bjZu7j9vsjxJLaBnrmWR2N7/dG4FYgvWNPspz7Zw0ZhBdoTjhuIqmJbrFmwVZlvtEn1t8ei1YRNEwyXr0LMuqC75YQmXtTj2S/csT9i2NOXkNr/nPOoIxPWqmdL9YyGTH7+9uwt1fpHzW6GJmjS5maXUbDy6p4dOdXQwrzEKSJIIxvU7yyCF5bGryU+q2M39SmSGoDAwM9pmkI+Brr72G1WqltbWVO+64gzVr1uzRqS7J5s2bGT9+/B7XycvL46STTjrgscbjcTye9BrroqIiTCYTDoeDWCzWZ5toVM8kSAqT/vjDH/5Afn4+v/zlL/d5XCNGjODMM8/khRdeQFXVtFo1l8vF0Ucfnfr5iSeeoKWlheuuu453332Xa6+9lqeffhpJkrjwwgsZPXp0KrqnKArvvPNOmnnIYYcdxpQpU1i4cGFKWC1cuJBp06ZlDKZUVVXt8/l8E9kvYZWfn8/y5ct58cUXeeutt6iv1x2gTjnlFE499VQWLFiQEjh2u53HH3/84I24H5qbmzPmh/YMvfYnrGKxWNqXwO/3H9BY8mx9Xw+rqoqq7v0N/8rN9FuAuG3btrRiyIGSFHAlF95BTvkI5k8qozLfmYpeHObW2LboVmo9MVTZgmSx0WyxUpuXjWdFOWMqCvqIOU9U4ItDICFT3yLI9CgNpD1o8s19PKESS2iYZImTxhazodGXqjmpyHUQiqvUtocoztFt6jc2+vjXynqU7ugTwKhB2X0myEnhuLHJhxCwpLoNt8PS3QhZpcUfTU0Cky0CevYP6j3ZLMu1oyRUNJF0TtMocFn7HPPy46voCsfxRRSqCrPS6mu2twd5amUdL3zWlKoHAlL28hV5TnZ5oxS5rHSG4qyu87BupxeLSU7Zi69v8PWZAPeufdM0wdB8J22BOGaThKIKJlXoAnFjk49mfxSXzUQsodHsjTIox87QwixcdguKqte5uaxmSnLsKefJqKJfb5tZ7tMTbU/3uNkXJRhVUqYhUVWQa5UpcFlTE/ferKr1sKHBS6BbKG1o8LK6zkNJjr1PZKVn7VienDQ80Q1kmn0R4gmNErfQBaymEYwnsJtl3E4r00cWpp3D6BIXdotMKEPqXCY0AfFEApOs94cqzrFht5jIc1po9keZNqwgVTvX8zglbrueptmpR9ASmkZM1dA0PRoaiCb454o6Cl3WPumRA8FhNWONJtA0gcNqZkRRFjXtQV30dQsskyyl+qD1rA1Nuj8mf0cA/OOjWra2BlPNkZPfq2Vb21m+rZOucJxoQsVikg9uf76vkNWrV/PPf/6TJUuWUFdXR0FBAdOmTePWW29l1Kj0SPvmzZv59a9/zUcffYTVamXevHkpi+ieaJrG3XffzcMPP0xzczOjRo3i+uuv5/vf//5XeWoGBl97NmzYwJAhQzjttNNSy4444gjGjh3LQw89xF133dXvttFolMbGRg477LA9HiOTIOqPpFDKxIoVK/qkFCZTB0tLS2lqauqzTXNzMwBlZWX9HrOmpobHHnuMe++9Ny1lMBqNoigKdXV15OTkkJ/ffzuOyspK4vE4oVCoT51XEr/fz+9//3vuvvtusrKyWLRoEeeeey4LFiwA4Nxzz2XhwoWpc/zoo4/w+/1p9wb0qNWvfvUrGhsbicVifPzxxzzwwAMZj7k3QfltYZ+FVSQS4fe//z2zZ8/m7LPPTku9O5QcSOj1jjvu4Oabbz6oYzkQ+qtH29/9ikQckYhjt1oYX57DzFFFaW/8ZxbHWLfszT7bdQHVb+x9/0f85G7ITf9lZpGh1KGSnZ2dFlHrHV1TJTPbOmMEEjJOh52Iw4GpspDOiEZszHQCtkGsD/oAgdVsQpZk/JEYX6z7EAUTTocdIVtwFpRx/sTBlGebUwIJ0uvdLLJEtt1MU1eYYDRBtt3Csq3tlOTY02riepph9E57fG1DMxazCVXoNUlOq4my3Mx2tiVuB7NHF/eJKt3zVjXLatoJxVTkHg4OsgRuh56qKNDYtMvP6BLdjKQzFE9FqMpynRkNHXrXvgXjCdoDMYYWODn7yPI0MTah3M3mXX5a/VFiiopZlhlR7OLT+i6y7RbsZhl/JIEqBG9uamFSZS4Ws0yp284uXwRJ0vuYDcS5rjLfSULTum3A9ZROVRNk2fR6nKlVwX4m4bvt7XVBJKhuCVDSLZp6CsvhRa5U7RiQuoevb2wmEleJJ1R2+aJ6bZDVjKZBXpaVcEzlzU0tqcjb9vYg7YE4g3IddAZi+KMJ3Y5fIs1RrzeyJJOXZeXEMcVpz1NVQRatft06vWftXNKFsCsUx2qWEOjtBVw2E57unmmq0NMbn/lk58Ajg900+yJE4onuVE5wWGTqOsNomkASpM4p12lJiaie35XNu/wg6ZEu/YWCg027fCiqHgFr7IrwwdZ2Wv1RgtEEjV1hNAGaFsFhMR20/nxfNT17vEycOJGWlhYeeOABjjjiCD7++OPU2/DGxkZmzJiB2+3m9ttvJxgMcvfdd7Nx40ZWrVqV1sT097//PXfeeSc/+tGPmDJlCi+99BIXXnghkiTxve9971CdqsG3EDXso/H+H6Qtq/jlwkM0mn1nw4YNKYOHJGPGjOGoo47iv//9b5qwSiQS/PGPf+SRRx6hoKCAG264geHDh++1gXAmQdQfe6qxypRSmEwdnDx5MkuWLMHv96cJm08++ST1eX80NTWlUvSuvPLKPp9XVVXxq1/9ao9OgTt27MBut+Ny9f87+JZbbqGqqoof/EB/Xnbt2pVWk1VWVsa6detSP7/22muMHTu2z/X43ve+x29+8xsWLVpEJBLBYrGklQJ9F9lnYeVwOHj00UcZO3bslzGe/eZAQq/XX399Wqqi3+/fq2PLnkgec3/pb6wHul+b3cH0kfrb1OQb/0/ru3h6644D2u+IsgKCcSll8SxLMLggi3ybRDAYJBgcmDV3Z/d/k7Yol984Fs1RTkxREULvNSVJgkg8Tv2TV6dtux1Y+KvdP1ttNpwOB7LFSlyYyXI6SEhmCtwuDj/9YvzFk1P1VBubfKnr8e+/30/ncndalC7534jdTkedj0hjMxFhQjLbCIRtbKlt4IhSfT2zWf9K9ZdWlbQ7z7KaiCoqqqannQ0pcGK3mpg2rIBNTV5aA+ANxwnGEpS6MwuJTIYOPV0H//NpA8FogqIcG1OrCvqIsWQKZHsgxuZmPzVtQWKKRq7DwrpGL6omMJsc7PSEmTw4l1ynhVa/jNNqJsuW+S1eJoYXuTh57CCqWwLEuw1EdIfM+B5NMKZWFTCpIpf1jV60biFW3RJImYtIkpQmLDNdk9MmlNLUFWGnJ4wsS7olemkOr23Sm1SX5zpSzopAqrG3P6wQjCZSduxZFhMWi0RXKLG795neyQAhYEJ5DjaziVK3g5mj9O9YMkqaNKlJCuzkczCp0k2zT/85oqg4rCbcdjOra7tS49eE3gttX4RKUiCpAnKdZsIxFW9EIa4K3ZWxe/x5WRYq85yplxB7cvt0WHU7eFmSiCc0fBGFj3d04o8oFLr0BsxOq4lwPIEnFP/GOj795je/4ZlnnkmbnF1wwQVMmDCBO++8k6effhqA22+/nVAoxJo1axg8eDCgp52ffPLJPPnkk6nMgqamJu655x5+/vOfp97iXnHFFcycOZNrr72W8847r9834gYG3yVaWlpoa2vLmMp36qmnctttt7F582bGjBkDwO9+9zs2b95MbW0tgUCAY489to8LXSYOVo3VnlIKzz33XO6++24ee+yxVB+rWCzGE088wdFHH52aX4bDYXbu3ElhYSGFhYUAjB8/PqOF+R/+8AcCgQD33Xcfw4cPB3SjiN4R8vXr1/Pyyy8zd+7cfh0Nt27dygMPPMCyZctSv/8HDRrEli1bUuts3rw57fxff/11Tj/99D77KiwsZO7cuTz99NNEo1HmzJmTOpfvKvuVCnjkkUeyadOmgz2WAyLpKNibgYRebTbbQTW2uOSSSzjvvPOIRCJEo1EikQgfbdnFg+9+TqcvhFNW8YfCKPE4mhIHNU62WcNp0nCYNBr9CiMziKvs7GymTZuW2mc0GiUajRIMhYlEo2gJZc8DM1l454tWirJtWGSJdza34gnF6dzeekDnO7g4l5p2M6qmkNDAYTExuiSb/L0bQe6RY0eXskbNYl2jl4SqIUkSHcEYXn9or9vGYzHiPYR2Utp1Apdedhm+ily2t4ewmKSU693mlgDrX32S1ZG9778nP70ffgrceuut/P73v08ZK/Sc/F/3s8tobW1FmKw0+hUCCRlVMiNkC2arjRq7ndKCHD773M3mtgiKZEE2Wdi4w0lt8Wx+NOOIjGYmgUAAs9mMzWZDluU0m3lvWKEiz0FHMJ5yBOzdRyn586JV9WxrDQCCNTu70DRBXpaVZl8UkywhhGBnZ4hmb4S4quGwmtjU5BtwDdDEilxGFLvY0R7sbowMnUGFgFvpN+o1vMjFjWeMSzXRrW4JpKJ2kiSlBMzemFTpZvLg3FQkqSUQY3yZm65wnIQmyHVaUiYsycjg1hZ/Wo1VIK4iK7qbpN0qoXY/5xFFxWExpdVQ9Y6SWkxSj55bIhUtjidUFFVw8thBfFrfhcUk4Y8ksFp0a3MAu9WEy2ZilzeSsmffWzPuBk8YfyRBtt1MRyCGKkQq9qd2R6tsZj01NMdhTl3//tw+C7KszBxVRKs/Sl1HiIQqcNnNjCvN4b3qNoKxBHaLiYSqR4pNssSbm1q+kemAPQvBk4wcOZJx48aluWb997//5fTTT0+JKoCTTjqJUaNG8Z///CclrF566SUUReFnP/tZaj1Jkvjf//1fLrzwQlauXPmt7udiYDBQkvVVmUo2TjnlFG677TZee+01xowZw65du3j88cfZtm0bubm55Obmcuyxxw6oae3BqrHaE0cffTTnnXce119/PW1tbYwYMYJ//vOf1NXV8f/+3/9Lrbdq1Spmz57NjTfeyE033QToQiWZjteTZISq52cXXHABDoeDY489luLiYr744gsee+wxnE4nd955Z7/j+/Wvf80FF1yQFh0899xzOfPMM7nhhhsAeOWVV3j11VcBPXK3efNmHn744Yz7u/jii1Nu3H/605/2en2+7eyXsLr33ns57bTTGD9+PJdeemnqLf2hZPLkyXz44Ydompam0j/55BOcTmef/PgvE7PZTE5OTloIeK3fgaVUxV2gElZUkv2mFU3v4WOSJPKydXG3ZqeXkYP65sXOmDEj1XCtJ0nTgvZAhFwrzBjm5v53vqBmlwdZjZNQFCQtDnYXOz1hFn5SD0IiFE0QUzRc+UXkT7+QRDwOiRhaQkHW4tgklZEFNpwmLSXikoIuKeaUeIxxlQUsaY8CEnYz5DjM2M0m3t4wsCZ4/WGz2ZleUciYshw8oTgf7+ik3R+FRPyA9ju4KJfy8SU8sbwWRRWsb/ClRNCTSt+o50Cx2+1pBhJJk4gGT5jlKz+mualxj9v3zcjW+a+yi8tOn5FxknriiSeyevVqYHdbA4fDASYLfkUGky7ctvwjj9L8nLQo3PTp07n44otTQqArnMBpNeu1Mjs3EYoGMFltePOy+eu2jTQFVDDbkMwWWkNWrFY7SzfvbhOwN7JsJtRe7gmlbvset+0pFHe0B/m0vovB+c40MZYUspno2aPtsuOq0iN6qxto9kdTqZhJYfFpfRfxDHl/EiBJgmhcIAH+hIbVLFOeZ+eMyWWp2ryl1W1pNWAnjimm1O1IE2/JaHFSdA3Od6aewfUNXbzzRSvhuNrt5ifx/pY2Ptzanpaet6c+Yr6IgjesoAqBJIGq6r9nVE039ci2mynOsXPkkP7TXoHUtQI4/6hKJEkX2UmBOrkilxmji2jzR3nhsya6wnFsZnmf7Pi/7gghaG1tTU3ampqaaGtrS+sTk2Tq1Km8/vrrqZ/Xrl1LVlZW6i17z/WSnxvCyuDLZuh1rw1ovbo7533JI+mfpCNgpojVMcccQ3Z2Nq+//jrXXHMN7733HlOmTKG4eHdtbnt7+16NK75K/vWvf/HHP/6Rp556iq6uLiZOnMirr766115R+8KCBQtYuHAhf/nLX/D7/RQVFXH22Wdz44039uvE/frrr7Ns2TK2bt2atvz000/ntttu4/7770cIwR133MHcuXNT27jdbo477riM+5w/fz55eXlomsYZZ5xx0M7vm8p+KaJLL70UWZb5yU9+wpVXXkl5eXmf9DVJklJvIA42zc3N+Hw+hg8fjsWidxU/99xzef7553nhhRdSyrmjo4PnnnuO+fPnf2VW6/2jpyFZHDKaJlJua0pMRRKgaIJY90RtX8k0IbKvascatWMx6ek7miaIJzQS8QQ1rXqkZlCOHVkGKaeY0tn/Q0zRi9pVATYTSLLMtPGl3HPB5D0ef9Gqndit27ArKuG4Sps/xgtrmzCpUcb+5D6uOKaCw4odaVG2nW1e2roCOEwaDlntE4Xr8AZY2qAgBdspyLIyqdLN6rpO/NEEqppAsjoRahzUzEYfeyL5rFrNppSZgyRJHDcsr1/jkIFgt9v7TJyfWF6L1WzCF9i3KFhPtntiqT5LvemZHpo0YcnU/HBtPazNsO+LL7445XxYnG2lsSuKzWzCv+Z5Gjbq+eDb9jC2GmDxr0w4eqRMzp07l8cee2z3+LuFmyeo4Fv3JtHm7UhmK7LFwqYdhfxu25tUFOX2qcFL/rsjovHKpg58cRPuwkHMGV+SZrueTN9r8UVxOyz4IgolbnsqAhRPqKkebf83fxwzRxWxtLoNRRNM7+EmOXNUUcpWvisUR+0MpQwsTN09nBB6CqDNLBOMa2iaoM2vC/3+DE96mqEAqc96iqmekciZo4qYWJHLE8traQvE2NkZRpag3hPGapKZOaqIFn9sj8KlxG2nONvK1tagbgLTGgBJwu0wUZrrYMrQfLa3B1lS3caW5t1tHnq6fSbFas/6wznj9dSQ3uNeWt3Gxzs8ZFlNtAXiFA2w/u6bwMKFC2lqauKWW24BdmdB9NenxuPxpNp7NDc3M2jQoFS6Tc/1YM/9bA62qZKBwdeZa6+9lmuvvTbjZxaLJe357+joSEs3a2lpYcWKFTzyyCNf+jgHit1u56677tqj4casWbMGnDa9dOnSPsv6q8PaE6eddhqBQGbH5uuuu47rrruuz/LXXnuNU045pd8giizLmM1m5s+fn9Ej4KabbkpF5L4L7LcrYEFBAaNHjz7Y4+GBBx7A6/Wm/uC88sorNDbqb/p/+ctf4na7uf766/nnP/+ZVlh47rnnMm3aNC677DK++OILCgsLeeihh1BV9aAaU+wvU6vymVSZS11HiLwsKyDY3qan9iS6rahVTTCiyJVmnjBQeqZ1La1uI8dhYUi+Uy/Ez7GS0LoL2hUN0BBCoj0QY3SJixmjivGE4ry/uY1WfwSREMRUQNV4Z3MLi1bV93El6znxemNjM63+CEoyd6r794RqshPKHU6jvZxfz52ctu3jy3aghOLkZFm5LMOb96XVbSz8ZGdKoDT7dIt0p9VE1bBK3L99nriqoSRUbJJKllkwe2QuH29tpqHdh6bEsZs0zp9czDFD3WnC7fDDD0dz9a2BUlWV888/P03g9UznjEajBEIRQuEwajy2+0S7cTgcaZNqi0mioSuCRZYy1v8NlKAip5q49uZA6u6SAjNppLATcNpMOK1m3o4NPCqoqSqhUIhQSBePXV1daZ8nnR8lCcK16wht+Sj12cru/w2EqnFHcuJvH0mbpCb3vX7xo2xb8QY2ux1VspDjciJMFoRsIY4Zp8OBx2HnmveLGFGaT0ST2docYSMmiosHUTH3F4D+PUrWZdktJro62qjKkTDZbFS3RSnKc7GtUyGmCczdL0d6R+H21IduID3qlla38dK6XQSiCUYWuXirvYU19XqzaYtJ4u3PWzlyaF6/wiV1Pz1hnFYzLf4Ypu6+XZMq3EQTgsauMJ83+bCYZJq6ImnPV8+oazJd8agheWkvCnpHzHo/Qz0jYd9ktmzZws9//nOOOeYYLrnkEmC3idDezJJsNtvXylTJwODbwujRo7nzzjtpaGjAbrdzySWXIEnSgPqlGuw7s2bNYvr06f1+vnjxYtrb27n44ou/wlF9fdkvYZVJOR8s7r777pR9O8ALL7zACy+8AMBFF13Uby8Dk8nE66+/zrXXXsvf/vY3IpEIU6ZM4cknn/xSBOBA6N3E9PyjKlPpZ0pCI9dhRaCgKBoaoHWn7RwoyUkOQHmegznjS3hzUwuNXbvTpeKqwGISjCtzM6HczZubWsjPshKKK4RjKmFFQ5YgEFN54qO6NFey3hOvRm8EWZKBzPbUOzrSzSsyNSLtPcHsmZYViCp636bBebwXUciyW5g5OhtF01hd6yHLZkZRNXZG7aiuQchaLpbuIv1PFRc/nHZkxglspgnus88+u8dru7S6jceW7eCLJi9doRgiEUdKxDn78EGce+5UcnJ2T5yXbGll+bYOVA3yT/oJM4dlM21ITkq0rd3RyubGThLxGF2BEA5ZJRyJQCKOqsRJKHFIxDG7cvsdz4E4UCYnd5kinp/8VdBygPtNkmwQ3BmKI2t7qQPcAzFMfXpBgd4PqrW1jbi3laQc7J0Y6O3+746P6EPVyMMYfu/ut3Q9r8c/7nuRJ2+6p+9GkoxssSKZrdhsdq57Ipvbshxp0bZBgwbx1FNP9dm0wRPm9SUriTRsYsKQorRttnZEWfhpCyFVRpPMNGRnIRQJs9lKQjJhsdqxWeSMzbczjX99g5c3NzUTjMq0BmJ8ttOHy25GAjwhBanb4r89EEsbX6Z0RUsvy/6e39vkMZP94DY2+djljewxXfHrTktLC/PmzcPtdvP888+nTCaSLyQGYpb0dTJVMjD4tjBnzhzmzp3LuHHjqKio4IQTTqC9vb1fswaDA+O3v/1txuWffPIJGzZs4E9/+hOHH344M2fO/IpH9vXk0BdH9aKurm6v6zz55JM8+eSTfZbn5eXx97//nb///e8Hf2D7SO9amx/NGAbsTj/7sKYDWdJ76iQDPf5IgvXdvXoOZDKSaaL83uY2FDX9zbqiaqyq9VDbEUJRBePLcmjyhrFZTN2RLZAEBGJK2ph6T7zMki4KTWRuqvpFcyAt6tWfY17vc5jTXQdllmW8YYXtHaFUTceUofk0eMJ4wwqhWIIsm5mEKnBY9MmP1p2ypYr+HdUyucjtjaRobfCE8UZVTGYzZlMWw4YOSdXUJfe7eG0TIJHrMGGaeBKDJ5dx9fmTU/taWt2mp3v5YzR26b2MLCaZiJIgGFN1kwGLzLiynH6jmKtXryYUCqVF2D6paeatDQ2UZpmob/NyVKWLwW5Ln+hbsraj9wsAgLEjq0hEAnqULhgmHImQUGK6Bd5e6C2skr3E7nm7mu3q/gurIcWZG1aXuO00O6SUq+S+EtFMfVItk//eUNeWeSOhocWjEI8SDvup7+q7Xnl5eZ9lS6vbuOWVL6h57w0a33x0v8YrW2wc+dRKhNAj4T3H/f7773P33XenxJoimdnRHMYbk3A47MRkCzGHHUwWApHuHndmK6/FtpHv38YFp5+c9v1MpiuCXmv01uet/X5vMzXU/qbWWfl8PubOnYvX6+XDDz9MMz9KpvH1Z5aUn5+filKVlpayZMmStBYQPbf9Kk2VDAy+Lciy3O880OCr4+GHH+bpp59m8uTJxr3owX4LK7/fz0MPPcSSJUtoa2vj0UcfZerUqXg8Hp588knOOOOM73RYNlNUpmcUZpc3gjccJ9FDiQggGEukvT3eX3rWStzzVjUf7+ik95RY1QSBqEI0oVGQZWVTsx+LSWbasDw+2NpOVFFBgKbBsq3tqVqRynwnFlniw20dlObYmT+plBc+a6LFFyUUT+AJpU+eYwmNRz/YkYp6DSQdKonVbGL6yFw+re/i2OEFzO02StjeHuQ/nzakRFVFnoP3vmgjrOg1UrIE2XYzo0v6Ng0+0Ov6oxnDcFhNvPhZI5IkIUlQlJ0+AdreHsTtMGM1ywRjCSwmmSEFztRnq2o7+bCmQ69tyrExd0IJsiTREYzz4tpGTJKEqgmKs+38fPbI/mtpMtjBlo4O0p6ji/pph+/Z5KDnC4CYojKsyMWs0UWpKHHPdeo7Q3ze0Ek4GsWGyhEVWVw8tYwih5wm7DJNFpMNgNs+OYGuyirsskqxU0aJx5BUBVlTMqZeJv8dj8epKHT3OY+k0P34AFItMVkzCoAGTxh/aP8jgpmiERsafQSiCdxWwZ6tTPpHSDKvbmhmxbZOjhyax9WnjE6Nvb6+njfeGEDzuV68Bbx1D0zY0czEqpI+38833niD008/HZvdjsVqx+Gw898sZ5+6OM1koTkEXHFzvy9Nvu5Eo1Hmz5/P1q1beffdd/u0FikvL6eoqIhPP/20z7arVq1K61EzefJk/v73v7N58+a0/Qykn42BgYHB1xlD3GZmv4RVY2MjM2fOpKGhgZEjR7Jly5ZUr6L8/HweffRR6uvrue+++w7qYL9JZIrKJCflr29spsETxmSSsEmCaLdfgoRu4dx7kn4g9OybFI6pacl6WTYzbYE4rm5hMmVoPpub/XQE44wa5CLXaaWpK5Lq95Q2+ZT08SLp/YZK3Q6eWF7LjvYQ3pDSJymwMxRLi3oNJFrU+8353B7uc6tqPaxv8GI1ybT4o2xu9hOK6So1yyLjtJmYMaqYn80ecdDfmA8vcjFzVBHvfNGKP6qQY7NQkrM7SpOMRCmqYFihk66wgs1iYk19F4tW1bO+wUd1a4A2f5QTDiumxR9jUqVeM/PA+zVE4iqqJtAAJZEpBrj38Q1UuCZfADjMMh/VtLO+0cuyre3AbjGU3N/TH9ezuTmAxW5CkqCTLKwFlUweoO35rNHFPPPXGwc0rt5omkZ1s5el1W1pkbXk2EaYr0cL/IhdnX7e3dhIPBYlxyI4ssKVcrXsKdbavQG2NnmIRKOUVY1M2aT3jNxV5jvREgfmEtmbiRVuvUm1b//NTCSThYQqCMcT1HWE0r6XB9rrrj2iv37p/f2MRqNomkYkHCYSDuP3Qn9NGhxZ2fxxTHEf045vAqqqcsEFF7By5UpeeumlfvvinHPOOfzzn/+koaEhlZ733nvvsXXrVn7961+n1jvzzDP59a9/zUMPPZTqYyWE4JFHHqG8vDyjvbuBgYGBwTeX/RJW1157LYFAgHXr1lFcXJxmeQm6BWTS//67Sn+T22Rx/Adb22jpNmQwAUhgMcu4nda0SfqBUpnvJNtmJqEJsmwmYgmVePdcPRRL4LSZOG5EARFFY2JFLhPK3Ty4pIbOkG7XbDOb2N4eSrO4Tqb7HN/DUQ306NLIIhdNXelv+SXAajpwt8P0SZremUeSIKqoRONaKiIXUnTL/fbggUf+9sTgfCdFLivtwXgqzWd7e5Anltfyxa4ARdlWBOB2WJCAL3YF8ITiZNstjC/N4T1/lM93+Rk1KDvV32hLSwBN7G607IsmeGJ5bcaeQJlS+JIMNM0xKV5X13kQAgbnOWjxx9nU5KOyO+Uxuf9Rg1xYzRKqJhFXdWfLZH+lgU6g9yf9EqC2M8w/P25MS61NE+lnnsD29iC3vPI5saFDKcq2kuu0ctrM4f32u9reHqSxK8Iub5inVtZT2xFMM2YAGHv+NcjH/VCvDVMVJE1hWK6FhnY/c8cWcPq4wj5GJ8l/5+bm9jlmUqw+3jKWzdHjsMvpos8XDBEIhlGVOKKftEnJrD9XEUXDH02kuUodSM0dsqnfZrX7sl9hsrBup3e/THgONVdffTUvv/wy8+fPx+PxpBoCJ7nooosAuOGGG3juueeYPXs2v/rVrwgGg9x1111MmDCByy67LLV+RUUFV111FXfddReKojBlyhQWL17Mhx9+yMKFC43mwAYGBgbfMvZLWL399tv8+te/ZuzYsXR29q1sGDZsGA0NB9bD6NvAniaRxS47Bdk2ApEEI4qzaPBEGDXIhSzLfax5DxSX3cygHDsJVdAWjJEI6xM2ARRk2egIxrGY9P40zb4I9Z1hAhGFaELgtMqMLXOnWVz3VyNVkGWlujWQcj3sDCnIgEkmZfG8r/R3DadWFTC5ooNmv97Atq4jjNBESlyZZdjWFmR1nQfYe1PVfSWZgtYZimcUncXZVtoCcYYWOgB9fEXZVsyyjMUkpfUAStaLdYbijCxysb0tiIZACHBYZPyRRJ9UtUw1fPtzbknxWp7n4NnVDbT442TbzRS4rH32P7WqgKOG5FPbGcIkSRRkWXl/SxvrG7wDOv6ehODetnttQzM7PeGUO93rG/v2z+p97TNZfvceQ4MnzOPLaukMxlE0jZPGFNMZiqf6N2kCnHYbCdWaEryNQmZQVSmnnzQ2JZT2hVmji5l19w3ADX0+S5qjqJrGmrpOEnEFNaGbmGiJuG6WgkAGKvMd5Dqsab8vpk+fzm//eAsrtjYTCIaJxWJ0BYIk4jFMmsKIAhsus6DLH2Rnuw+PP4hIxBFKHIvF3O/vnn2JhNls9tQ1/KZFrNatWwfobrSvvPJKn8+TwqqyspIPPviA3/zmN1x33XVYrVbmzZvHPffc06cu6s477yQvL49HH32UJ598kpEjR/L0009z4YUXfunnY2BgYGDw1bJfwioSiVBU1H/6T38e+QY6DZ4wiiY4+bBBvFetm0pYTDJN3ihVhVkHtS4hOdk8acwgvabHG06l6ZmEnnoYiCpk2y28uamFslwHkbhGNKGLlFhCwxOKp024+oskJV3BXt/YzPoGLxIgy2A2yQctLainzfv0UYV0BOOs2NZBgyeMJnYboOs9wQTtgdhBESC96emC1tPPoaftdGG2jTnjS6huCeALK9gtJkYNys7Yuwh6CFOnFYdFpt4TwRtOIEuRPr0uBuKsuC/n8ssTRjKh3M2mJh/jy3Xnzfe3tKftf+aoIq4+dXR3lCfC+1vaBnz8/RWCvftUfVjTgS+isHJ7J01dkX4tvwuzbVx2XNVexWiy5qk4x0pdR5h1DV6OHV6Y+g5WFWTRGYwTiiaIqxoIEGjMGFW4X6JqbyTPYX2jF7PJjMVpJqLYMEt6WwYAuxmEkPTvJVLaszFlyhRCOUPwdLcq2NwSoCLPgT+icNTQvLS2CTe9vImnVtSjokeVx5fn9Pu756yzzuLII4/M2Iog2Zfu7Q07aejwY7LqPcS+ifVV++J4O27cON566629rifLMtdffz3XX3/9AYzMwMDAwOCbwH4Jq7H/P3v3Hd5U9cYB/HuTtEnTPemglNJC2bvsjUJZgshSkCECiggoCAIyVUDBCT9QHIBQGVYQEFS2IBvZAgVa6C7du0mb5Pz+qLk2TdqmadIk7ft5Hh7tvTc3b25ukvvec857mjfHmTNnMGPGDJ3rf/nlF7Rr165agdVm6hYfdatFPWcJfrudhBxZMaLT8hGXUWDUlhV165KTnQj1nOyQkFUAuYJBCeBRah6EHIcBLeohPb8Ifq52EAo5PkFRqID0/CKtC3tdLUnqZSk5cjxIzkVBkeLfua0YolPzqtRlTBddk8E+TstDVuF/k/qKOMDRzgbFShUauEvh4SDGrfhsk1UpO/MgFU/S8rHvWjze6BuMPiFefNLJGMPeK3G4EZ8FhVIFZ6kNwlp667wgL52oHbmdhGsxmWAAFCqGrIIi3E7I1nicPpUV9VG6BadPiBf/HFGpeTr3rz52iVkFfBlufZ7f0ERQ/Th1S5WPswRJ2TJ0DHAtt+R36YS/9OvTFUPr+s4QiwSIzSiEUMjB2c4Gbfyd+cfMGxiCK08ysOdKLO7E58DD0Qbp+cXIlSkqidwwpcezpeTIkCsraV1WlPr4FSkAsQ2HZt6OOlu4SxfJKVYqkVVQBKWKobBYyReQiUrNw+n7KSg99ZyPk6Tc98TV1RWurq7lxn06MgXxPrHo5yjGnaScCsvBE0KIuezYsQMffvghoqKiYG9vj6ysLPTp0wdA5TdWTp8+jb59++LUqVP8Y6xRbXkd+lixYgVWrlyp90TMxmBQYjV37lxMmjQJrVu3xujRowGUDC5/9OgRVq5ciQsXLuDnn382aqC1SdkLwMO3kqBUAU28HPAkvRB3ylxEG+u5GGPYeu4x0vPkUCoVUDBAqWRQgPF36j0cxAh0t0eUKg85MgVEAg5CDkjO0ewKVF63rqjUPNxPykFhsRLFypI74SIBkJorr3ZSo74w9nCwxcOnefBytOULVqgpGFBQpICjxAYj2/uhU6AbbsZlVTsB0eXy4wxcfZKBgiIlFEqG9UcjkZQtQ6dAN/Ru4onTkSlIypFBIhKACQVQqliF3TzViSljwL3EHBQUlVRlVDCGJ6n5WtvqW6CiPBW1IpW3/9KPsRFw6K9nkQJDE0Fdpb9/v5NcYclvXbG629sirKU3n3Cou776u0kRGuiKv2My0dbfBWl5Rfj9TrLGWKtxoQ3AGMOjp/eQnl8MsUiAjg3LTzIMUfbzNKFLAP56mKpVYVNNJCiZfLqNv4vOY6CequBpdjGScmRwldogPrMAOy/GYEKXgJLiOQIBhBygZICtkEMrfxeD4y99syiknqNVjq8ihNRu9+/fx+TJkxEWFoZ3330XUqnU3CFZncTERGzZsgUjRoygqqblMCixmjBhAmJiYvDee+9hyZIlAEombGOMQSAQYPXq1RgxYoQx47Q6lY0nKX0BqK4U9ig1H2KRAO4OtkaNpWzr0if5kXj4NA9KRcnExAIA/q5SfsD+zbgspOXJUVCkhLOdCEIBh8jkXL7FqaILcnU3x2bejrjyJBMcVzL1kbokenWoL95iMwrgKBEhu1ABWyGHYpXmnQiRgIOAAziOM0oCUj4GhYr9O7EzQ3xGAX66GsePOfJ3k8LHSYKnOTJwKJlvSZ9j0CnQDc18nHAhKg3FDLDlOKTly3XOtWSMRLW8ViRd+1c/xvvflonI5Fyk5MjRur5zhTcDDH0fdD3O301apYqH6ljbNnDhE45iZUlrIjggq6AYIoGAH2uoaxJcdRe6q08ytbrUVVd5n6cAd3s8SvkvoRb++1mysxWib1MvxGUWopmPE981tuyxsBUJEeAuRXxWIfLlChQUKXHmQSoKi5QIa+mNEG9HpOXLUaRQ8UV1DGXazxkhRB+cjQRuz76mtYyUOH36NFQqFb744guN6YCOHj1qxqhqXq9evVBYWAhb26pfayYmJmLlypVo2LAhJVblMHgeqyVLluDll1/Gzz//jEePHkGlUiEoKAgjR45Eo0aNjBmj1anqeJI+IV5Iyi7Ej5diYSMU4GZcNjoFVq/bXEXPBQDrj97Hg6d5KFIwcNx/iWCfEC+EtfTGncRsZBUUQVakhK2NEDfjslBYpMS0Xo0qvCBXJz9puXKIbYRQqVT/zkXlUe3XU/riLTGrAL/fSYbERoiEzHyk5xdDPf+xSgX8Wwyef5yxj2VUasn0Ao087XE/KRdFShWKlQz1Xe34gfv1Xe3Qs4kHmvk6wdNRrPc4syBPB7zSIxAxGfl4miOHp4MtipXlT3RsqPJakdTzbAGc1gS06jnMTkSmQFasRGRyLiQiAVykJV/QlSVXhhbYMDShzCqQ42ZcFmyEHM48SEXPxp7/TdL9KA0cgB7BHvw8aS39nMttEXuxU4BREyq1shNuqwtztK7vjL8epkGhVEHBAIGAg71YhMZeDigsVsFRLMKZB6m4EJWOBm5SrfFm6psQDmIh8uTKf7v3spKutDkyNPVxxMOUXOTKFXwc1Tm/TPE5I4ToT2AjhmP7oeYOw2KlpJRM5F62YqshCYY1EwgEOqcDMaf8/HzY29ubOwyjqHoN7FIaNGiAt956C//73/+wefNmzJ8/v84nVYDmhZL6IjsqNQ+nI1P4C/KyfJzt4O1shx7BHvxjTKVkgLw97G1F4ACIRRyyCopx5kEqH2dqjhx2tkLIlCoUFCmRXViE2IwCjYmOdV18qpOffs28EOAmhZeTBCIBh79jMst97VUR5Fkyh5SPsx2fsPm52cPPxQ4e9jaQiDhwAiDA3bAqhPo4HZmCVYf+waGbSQADBBwHpQooLFbi3KN0vpvZJ39EYu/VeFx5/F+Bi8rOg9L8XKQI8rCHrJiZpBiA+r2a0CWAvyiPSs3DwoibWH34Htb/EYlPjkZqxBrk6YCeTTzh7SSBl4MYcoUKjhIRcmUK3EnINmp81RGVmoff7yQjT14yJ1iHAFcUK0tuIqjPXR8nCbydJRrzpKnHyJU+JqZWekxUcrYMF6LS8c2ZaLSu74JOgW7wcbGDo1gIZzsbBHva442+wWhd3xkxGQX4JzEHj1Pz8OBprsZ3hvq9fa6tL3xc7CAScpCIBMjML0axsqTl6rc7ySWTIBcq8DAlD/879Uiv87Iq5zAhhOiSkJCAqVOnwtfXF2KxGIGBgXj99ddRVFTEbxMdHY3Ro0fDzc0NUqkUXbp0weHDhzX2c/r0aXAch7179+LDDz9E/fr1IZFI0L9/fzx69IjfrmHDhli+fDkAwNPTExzHYcWKFQCAPn36aI01io+Px4gRI2Bvbw8vLy+89dZbkJczEf2lS5cQFhYGZ2dnSKVS9O7dG+fOndPYZsWKFeA4Do8ePcLkyZPh4uICZ2dnTJkyBQUFBVr73LlzJzp16gSpVApXV1f06tVLq2Xtt99+Q8+ePWFvbw9HR0cMGTIE//zzT8UHvtQxKz2mrE+fPmjZsiXu3r2Lvn37QiqVws/PDx9//LHG40JDQwEAU6ZMAcdx4DhOY5LgqhyLu3fv4qWXXoKrqyt69OiB9evXg+M4xMTEaMW8aNEi2NraIjMzEwBw9uxZjB49Gg0aNIBYLIa/vz/eeustvaYGSUtLw/3793Ued2MwuMVKLS8vD5mZmToHhjVo0KC6u7dKZRMP9RxFFbVgGasYgT7UlQL9Xe2QVVAMhaqkJDoD8M2ZaNyMz0KurBi2NsKS1h+OISFTBjd7scZEx+V1+1F3K7r6JAN3E4vg7SwxeotL6YtRkQCo5yxGTLoSEhsh6rtJ8Ubfxia5KFbPU3UrPhuOYhEKipWQK1SQiAQoUqgg4IBeTTyRlF2IG/FZEAC4myfHk7R8/HbbHg4SEYqVrNKWTHV1uMgiJVylIgR6mOZOTtlWhsO3EnErPhsKFUO+XInrsZkaEzsDJV0Vf7uThMikHKhUDInZMtRzkvDVBGtKRd1t+aIXDVxxIjIF8ZmFaPLv2J/Qhm78uQtA51xzNdnyov48HbmdhAtR6XxhDo7jsPy5FvjfyUc4cf8pJDZCJGbL8OeDVJy6l1JSCRNAYZESMoVKZ4GZuIwCOEls0NBNisRsGfxc7dCzsRduJ2TDx0mCR0/zoFQpIRSUVBk0VXVHQkjVNHz3cOUbWanExER06tQJWVlZmD59Opo2bYqEhARERESgoKAAtra2ePr0Kbp164aCggLMnj0b7u7u2L59O5577jlERETg+eef19jn2rVrIRAIMH/+fGRnZ+Pjjz/G+PHjcenSJQDA559/jh9++AH79+/H5s2b4eDggNatW+uMr7CwEP3790dsbCxmz54NX19f7NixAydPntTa9uTJkxg0aBA6dOiA5cuXQyAQYOvWrejXrx/Onj2LTp06aWw/ZswYBAYGYs2aNbh27Rq+/fZbeHl54aOPPuK3WblyJVasWIFu3bph1apVsLW1xaVLl3Dy5EkMGDAAQEkRjkmTJmHgwIH46KOPUFBQgM2bN6NHjx64fv06GjZsWOX3JTMzE2FhYRg5ciTGjBmDiIgILFy4EK1atcKgQYPQrFkzrFq1CsuWLcP06dPRs2dPAOAnOq/qsRg9ejQaN26M1atXgzGGoUOHYsGCBdi7dy/eeecdjW337t2LAQMG8EWUfvrpJxQUFOD111+Hu7s7Ll++jA0bNiA+Ph4//fRTha9z48aNWLlypcmKdxiUWMlkMqxcuRLfffedznms1JRKZbnrarOyiYc+FdFqcoyCujtXco4MNkLARihAM19HNKnniJP3U9CxgSvS8+SQFZckCiIhB5FQqFHpq7KLzyBPB0zpHoj/nXqEPLkCLlIboyaLpQfoA0KIBBxc7GwgK1bBzd4W/m6mGZSqvsOvnvMLHMBUgJyVdD5kALydSirXcShpxSpSMKTnFyElTw5HsQit/Jz51r/yjqH69UWl5iKrUIFjd58iJVeOeQNCTHpuqIslCAAoAOQUKnDmQapWN8aMvCIUqRhsRIBIIMCzzeuZpPx4eSq7wC9beVM9X1jp81fN0MIfxpwbTX0zIiGzUOvmSlxGAQqLlJAXKyGxEeHk/RTEZ/43bQIDoFCqtArMAJoJen1XO7zUuQE6BbojMasQsRkFcLIT/TvJcMkUBZVVTjJmmX9CSN20aNEiJCcn49KlS+jYsSO/fNWqVfx30Nq1a/H06VOcPXsWPXr0AABMmzYNrVu3xttvv43hw4dDIPiv05VMJsONGzf4bn2urq6YM2cO7ty5g5YtW2LEiBG4ceMG9u/fj1GjRsHDw6Pc+LZs2YIHDx5g7969fIG2adOmoU2bNhrbMcbw2muvoW/fvvjtt9/44lQzZsxAixYt8N5772m1MrVr1w7fffcd/3d6ejq+++47PrF69OgRVq1aheeffx4REREar1F9bPLy8jB79my8+uqr2LJlC79+0qRJCAkJwerVqzWW6ysxMRE//PADXn75ZQDA1KlTERAQgO+++w6DBg1CvXr1MGjQICxbtgxdu3bl5/Uz9Fi0adMGP/74o8ayLl26YM+ePRqJ1ZUrVxAdHc23MALARx99BDu7/64pp0+fjuDgYCxevBixsbFmbdgxKLGaOXMmtm/fjhEjRqBnz54VluGtq8omHvq0Rpn6Tnnpi8GeTTzxJD0fgR72yJEpMKqDP0IbllTQS86Vl1yMPc2DkgH5RSo4iTl4VLGohr+bFJ4OYihKTzBlZOrxMr/eTkJqjgzOUlt+YmBTHEt/Nymc7EQQcBxcpDYoUjK4SUvGskhsBBByJQlrp0A3tPF3wfWYkmbrgqKSMS7y4iKce5QGTyeJXuU/FSrAQSwEY0BytszkF7J9Qjxx/N5TpOXJIVAxdA501WptjMsogJIxvpVOyHFws6/ZPur6FN4ofaNC/Rj1OjVDEiRTtdrourlyOjIFChWDWCRAQbEKtoxBXqx5w0rIlfSZT83V7qaiTtCTsgtRrGT/jt9055/nZlwWfr+TBG9nCWTFqkonJ6+sZd3YCSchpHZRqVT45ZdfMGzYMI2kSk39HXTkyBF06tSJT6oAwMHBAdOnT8eiRYtw9+5dtGzZkl83ZcoUjbFS6taU6Ohoje30ceTIEfj4+GDUqFH8MqlUiunTp2PBggX8shs3buDhw4d47733tBoZ+vfvjx07dkClUmkkR6+9pllcpGfPnti/fz9ycnLg5OSEX375BSqVCsuWLdN4XOljc+zYMWRlZeHFF19EWloav14oFKJz5844depUlV6vmoODg0ayZGtri06dOiE6OrrSxxrjWADA2LFjMXfuXERFRSEoKAgAsGfPHojFYgwfPpzfrnRSlZ+fj8LCQnTr1g2MMVy/fr3CxGrFihUaSZqxGZRY7du3D6+++iq+/vprY8dTK1lCxayyF4Nt/J0hK1YhNbekwp73v3PYqOM8dT8FD5/mQywE5EqgoFiJfdfi+Xlw9KGuENgz2MMkd7fVF3lnH6YhLUcGmUIFZZ4MtiKRzotMY1C3xG099xg5hQpkFxYDHCAWCeBqL4bq32QpyNMB8waEYOfFGERcjYesWMF3ubSzFcJJItLrItZRLMLj1DwAHPzdpSafdLVPiBc+GNGSH28nFAq1LqD93aQIdLfH0xwZihQq2IoEuJeUU+15yqpCn66z6hsVpyNT+EqApYs8GJogmbLVpuzNFXUiLxIK4CURQcQJIBCWVL0EA5QAhAIOIgGn8z2ISs3DrfhsFCuZxtxfvf9tfa7vaofErEKk5xehgVvlVSsr+i6jboKEkMqkpqYiJyen0mQnJiYGnTt31lrerFkzfn3pfZS9kFbf8FePyamKmJgYBAcHa/1Gh4SEaPz98OFDACUtReXJzs7WaHyoKE4nJydERUVBIBCgefPm5e5T/bz9+vXTud7Jyancx1akfv36Wq/Z1dUVt27dqvSxhhyLwMBArW1Gjx6Nt99+G3v27MHixYvBGMNPP/2EQYMGabyu2NhYLFu2DAcPHtR6j7OzzTve26DEiuM4tG/f3tix1GrmrphV9mIwLa9k7FMrP1uk5hXxHyZ1nIwx/HI9HuppohQq4MHTqrUEmXrcmPpu/D+J2eA4DrYCDnKlCrYiZtIL/T4hXvB3k+LKkwyk5MjBccCVJxnIlSng4yThi2YEeZbMRxSVmodbcVkoKFJCwHEQi4Ro6GFf6d3+uIwCZPw7uatQULrOoWmpJwqOSs3TeQEd5OmAeQNLksZL0ekI9nJAXGahyVoJddH3ZoV6TNzdxFx4OpbczVQnQoYmSDUxHrL0uVDSpfYhYtILIRAyOEtEcJDYIF9eDPbv51MAhsjkXI33oOyE2ldjMtHATaqz2ExVbvqU911G3QQJMS9lQTYSv31dY5nvq5shlNbs+FdzEAqFOpebcmJYVUkJYqxbt67c0uMODprfgcaIU/28O3bsgLe3t9Z6kciw8gnVic2QY1G61UnN19cXPXv2xN69e7F48WJcvHgRsbGxGmPQlEolnn32WWRkZGDhwoVo2rQp7O3tkZCQgMmTJ/OxmItBR3/48OE4fvw4ZsyYYex4iJGpL9AAze6IrfyckZCpvlOt3RLi7yaFi9QWWYUKfplCWbUvqJpqqXOUlIzfiskogN2/Y8EKi1Umv7C7EZuF2IwCFCuVqO9qz1csLJuEvNI9EAdvJCJXVoz6blKEeDtqjVnSNZnt1nOPEZdeCIaSecByZYoavVit6GaAOml8+u8FOwfoHItlrvjU1IVavBxtkZJbBE9HMX+uG5ogmfq81tXyM7K9P366GocWvk64GpMJIQcAHFRgKFIypOUXI0emwG+3k/j3gC/gEeDKl5Mf1MpH5/hOY7yGmizAQwjRTVWYY+4QKuTp6QknJyfcuXOnwu0CAgIQGRmptfz+/fv8elMJCAjAnTt3wBjTaMEpG4+6q5qTkxOeeeYZozx3UFAQVCoV7t69W26Con5eLy8voz2vvsrraWPMYzF27FjMnDkTkZGR2LNnD6RSKYYNG8avv337Nh48eIDt27dj4sSJ/PJjx45V63mNxaBy60uXLkV0dDSmT5+Ov//+G6mpqcjIyND6R0qYqzyx+gIt/FIsfr+TjLCW3nwZaXVZ6f7NvNDG30XrsXEZBbCzEUIs+u9DJBQYdvfHGHeMyjuG6sH5zlJbNPNxRPsGrigsVtVIZcXYjAKk5MhwIy4bR24l4sitJOy9GqcRY1RqHvZeicNfj1JxLbak5Lyu5KNsif7bCSXdt5ztRJArVMiXK/SeYLi69D1fgzwd4OUkBlMBIfUc+LFYlqT0+dHc1xFTugdqFLAwtLS6riTaWHRN19Ap0A1N6jkiKjUfGflFyJUrUKQsackESj6bLlIbPvlWv3Z1oqMuJ2/KpLc6x5MQUjcIBAKMGDEChw4dwtWrV7XWq68XBg8ejMuXL+PChQv8uvz8fGzZsgUNGzassKtcdQ0ePBiJiYmIiIjglxUUFGgVhOjQoQOCgoKwfv165OVp/16mpqZW+blHjBgBgUCAVatWabW8qI/NwIED4eTkhNWrV6O4uNgoz6sv9VxTWVlZGsuNeSxeeOEFCIVC7Nq1Cz/99BOGDh2qMceVumWt9LUlYwxffPGFXvu3yHLrjRs3BgBcv35do7pJWXW1KmBp5hx3ULZrDsdx6N3EU2ObG7FZSM8vws24LK3Y5P8WJhCAQWorhIqhSuOsjPXaK9pP6dYDdaU+juNM3nLi7yaFjZBDam4RBABUABQqlVaBibiMAjxOz0e+TIFiFcOtuCy+u1bp7l5l7/a38nPGvcQcPFIoYW9bUkJ+TEd/k587uo61+nWULUhwOjIFx++mIKOgCBcfZyK0oavFtVJU1rpk7i66uuhq+VG/jp0XYxCZnAtboQByhRJQASJBSYumSCjQSL7NMbbTEo8nIcSyrF69GkePHkXv3r0xffp0NGvWDElJSfjpp5/w119/wcXFBe+++y527dqFQYMGYfbs2XBzc8P27dvx+PFj/Pzzz1qFHYxp2rRp2LhxIyZOnIi///4bPj4+2LFjB6RSzWrDAoEA3377LQYNGoQWLVpgypQp8PPzQ0JCAk6dOgUnJyccOnSoSs8dHByMJUuW4P3330fPnj0xcuRIiMViXLlyBb6+vlizZg2cnJywefNmvPzyy2jfvj3GjRsHT09PxMbG4vDhw+jevTs2btxozEPCCwoKgouLC7766is4OjrC3t4enTt3RmBgoNGOhZeXF/r27YtPP/0Uubm5GDt2rMb6pk2bIigoCPPnz0dCQgKcnJzw888/6z2eziLLrS9btqzSgfekhDnHHVTWNUfd6uLhYKuz/Le3swQN3aW4/CQTcoUSNgIOD57m48jtJLzZr3Glz2+s165PBbi4jAKNAgWmmhy49HNO6R6I9fn38SA5D8p/531ylIi0Cj0IOQ6FChU44N+CIXKdCUzZi+CkbBmSc2Ro4euE5By53p+56lRmK3usrzzJ4JPvsknt6chU5MqLEeBmh8QsOcQi0/3QVUd5F/uWWsGuvIQoyNMBrlJb5MsVUChL7mQKBBzsxUKEBrqhvqsUTeo5au3Lkl4bIYT4+fnh0qVLWLp0KcLDw5GTkwM/Pz8MGjSIT17q1auH8+fPY+HChdiwYQNkMhlat26NQ4cOYciQISaNTyqV4sSJE3jzzTexYcMGSKVSjB8/HoMGDUJYWJjGtn369MGFCxfw/vvvY+PGjcjLy4O3tzc6d+5s8HCZVatWITAwEBs2bMCSJUsglUrRunVrvgw6ALz00kvw9fXF2rVrsW7dOsjlcvj5+aFnz56YMmVKtV5/RWxsbLB9+3YsWrQIr732GhQKBbZu3YrAwECjHouxY8fi+PHjcHR0xODBg7ViOHToEGbPno01a9ZAIpHg+eefx6xZs7RK4psDx0w5ss9K5eTkwNnZGdnZ2QZXV1GrSguAKZRXgAAoaXFYdegucmUKOEpEWDasOT8XUem4k7IKEZOeD6WKQcWAVvWdsfaF1pXGXhMtVur1qw79wxcocJHaYkbvIK3WOVPYdTkW356NhkgAKFXAq70aYVyoZtWfL088xDdnowBWUh7+nbAQeDtJEH4plk9gJnQJ0IrXkONX3WOuXT3SBSfvp2jFGZWah4U/38TtuGyoGIONSIiG7lJ4OooxpXtgjc5pVRldCZS1VrD78sRDbDr1EEXKks+il4MNsmVK1HMU8y1WpSsfWiNjfv/WJnRc6hZDJghWFmQjfsN4jWX13wzXu3jFk7WmTVgIsWb6fgcbVjqkjOzsbDg4OJRbUaQuK3v3uWzLiqkvgCq7Y62rMmDpuNWV747dTeZbt2yEAr1an4zVFamy/VRUoMDUfJwlYAzIyFfwZevLal3fGc52tsiRFcPOVghvJ4ne5cKrevyq20pY9jkB4GZcllaclx9nIClLBnuJCHkyBexthOAA3E3MxdZzjy2mFai8BMpaKtiVTQo9HW3hZGeDIoUKOTIFMguKoQIHuUKJjIIieDraIvJpbo1WaCSEEEJICYMTq6tXr+K9997DmTNnUFRUhKNHj6Jfv35IS0vD1KlT8dZbb5mk76I1Uic3FZV+Ngf1wP7yKgMC/43BEosEqOcogYNEVO62uhirK5Ku/ZSueNjATYpYAB7/tpjUxDFVF3kAB7Su74TCCiZY9XQQo76LBHJFSZUhfZOmqh4/Y1RmK/ucuuNkKFaqIC9SQqViKFQokZQtg7ezRGtCYXMqnUBdjcnEkdtJGNzKxyoq2OlKCjsFuqNjgBuScmTIkxUjPrMQhcUqPM0tAgfgWkwm7MU2OFKqOiAhhBBCaoZBidX58+fRr18/+Pn5YcKECfj222/5dR4eHsjOzsbXX39NiVUZ5mxZ0UWflqD0/CJ4O4pxMy4TYpEQznY2CGvpbfYLNl3lyTmOq7FB+lGpefjkj0hcjclAnkyBfJkCIT6OSMwq1Dl/VnZhMd/lkpWaRFjfIiD6dh01RcECXXF2CnSHl6MEkQW5EIk4qFSAk4MNXKS2VUq8TU2dQF2NyURytgwXotKRkFmoc0ybpdHVqta7iSfmDQzhJ/GO+DsOtkIOxUoGkQBQMUAk5PAopWpzzhFCCCGk+gxKrBYvXoxmzZrh4sWLyM3N1UisAKBv377Yvn27UQKsTdQtRDXdslKRii7u+YvS2EzkFBZDYsuQk5KL2wnZNTaGprykQp+Kh6YUl1GApBwZHMQi2AgFJQUqipQ4eT9FZ4XF8rpcVsaQsUA1UbAgyNMBA1p4Iz6zELJiBYpUShQrVega5I7BJi7rXRXqRPPI7SRciEpHxwBXjSTFUuLUpbxWtdKthgpVyTxWACASCsAYLLaICCGEEFLbGfQLfOXKFUyZMgVisVjnRaKfnx+Sk5OrHVxto77Ie66tL8JalnRHMqfK5itSx9vM2wlKFUNOQUmry6EbCdh1Odbk83KVnofrmzPRGs9n7q5c/m5S+DhJIFOUVGer5yyBjVCgMfdQ6W0buEmRmlcEGyFXpXm9dM1pZCmGtPZBfTc7FCsZlCogJVeOMw9MN3+GoYI8HTC4lQ8auEktvutf6c9jefNCqT8XN+OzIbUVomk9B3g7itG+gQuCvRwgsREi2MvB5JUxCSGEEKLJoBYrGxsbrYnLSktISICDg+XeCTa3iuaOqin6toQEeTqgoYc9AA4qMIABcZmF+PZsNM4+TMW8ASEmi7+icvDmmKOntCBPB8wbGIIrT0omwvZ2kuD3O8laF+7qFrc2/s5Iyi5EsZLh9zvJehd3MHcCWZEgTwd0DHBDZFIOGACViiHj3+TP0lqCdBXlOB2ZYvFFNnS1PqqT7ZY+TniaI4NAwEEqFqGgSIWsgmLY2ghQIFciLqPAIl4bIYQQUlcYlFh16dIFERERmDt3rta6/Px8bN26Fb17965ubLWSpVQjq0ocno62kNgIoJArwQAUFquQkiNDnkxh8nEcydkyPHyapzE2Sc3cc/SUfX5/N6lGolf6YrlIoUSxkml0RdMn9ppKIA2d0ynE2wGOdjYoLFJCqWJws7Dkr7TSRWQsrdR6VT6P6mQ7OVeOtvVdUKxS4U58DmyEHHJlxZAyIR7kFmH90ftIypahUyAVsSCEEEJqgkFdAVeuXImrV69iyJAh+O233wAAN2/exLfffosOHTogNTUVS5cuNWqgtYWltEBUFkfZbkkqxlA6rcmTK5FVUITUXLlJ4/R2lqBbkBu8nSUWPyl1kKeDxrid0hfLxUoGGyFn0Ptedr/GVlGXy8p0CnRHl0B3NPSwR5v6Lnijb7DFX8RbYvfKqnwvlO4i2LOJB27FZeNprgwPnuahoEiB1Fw5ChUKPEjOw44LT6r8nhJCiLlkZWVh+vTp8PT0hL29Pfr27Ytr167p/XiVSoXNmzejbdu2sLOzg7u7O/r164ebN29qbffxxx8jMDAQEokErVu3xq5du/R6jiNHjmDFihVVeVnVdu/ePYSFhcHBwQFubm54+eWXkZpaedf79PR0rFu3Dr169YKnpydcXFzQpUsX7NmzR2vb06dPg+M4nf8uXrxY6XOdO3cO7du3h6OjI/r06YP79+9rbTN79mwMHDiwwv3MmzcPzZs3r/T5LJVBLVadO3fGkSNH8Prrr2PixIkASg4EAAQFBeHIkSNo3bq18aKsRczdhQ34r3WivEp6pe/o2wg4pObJoVRpthYxlCRbpqRPOXhLVvpiuYGbtMYrF+qrOq2oQZ4OGBPqj9sJ2Wjl52xREwNXpEihxNWYTIs5r/T5Xijbqhjk6YAvTzxEfpECYpEACqUKYqEAMqUKTAUoGYOTRMQnj5Z0zhFCLI++kxKbaiJhlUqFIUOG4ObNm3jnnXfg4eGBTZs2oU+fPvj777/RuHHjSvfxyiuvIDw8HBMnTsSsWbOQn5+P69evIyUlRWO7JUuWYO3atZg2bRpCQ0Nx4MABvPTSS+A4DuPGjavwOY4cOYL//e9/NZZcxcfHo1evXnB2dsbq1auRl5eH9evX4/bt27h8+TJsbW3LfeyFCxewZMkSDB48GO+99x5EIhF+/vlnjBs3Dnfv3sXKlSu1HjN79myEhoZqLAsODq4wxuzsbAwfPhxdunTB9OnTsW3bNrzwwgu4desWP8ftP//8g2+++QZ///13hfs6fPgwhg0bVuE2lszgeaz69euHyMhI3LhxAw8fPoRKpUJQUBA6dOhg8S0LNaW87lXm7MKmTzeo0hfaZx+lQV6shKvUFkk5/7VOCTnAyc4Gno5ik8VqCUloZaJS83D5cToATqvLlTXED1SvFTUqNQ+/30lGen4REsoU7LDE16uOV92CaAlTB6iV/V4o/f0BoJzPLYNcoUSxsqT7gVRqA5FSCaGAQ75ciRyZAg09HCwieSSEmBYnEsO5+4tay6xFREQEzp8/j59++gmjRo0CAIwZMwZNmjTB8uXL8eOPP1b4+L1792L79u3Yt28fnn/++XK3S0hIwCeffII33ngDGzduBAC8+uqr6N27N9555x2MHj2aTwYswerVq5Gfn4+///4bDRo0AAB06tQJzz77LLZt24bp06eX+9gWLVrg4cOHCAgI4JfNnDkTzzzzDD766CMsWLAA9vb2Go/p2bMnf/z1deHCBRQWFiIiIgISiQRhYWEIDAzEo0ePEBISAgCYO3cupk2bVmFrVHR0NCIjI/HVV19V6fl1yc/P13ptNaHadXnbtm2L0aNHY+zYsejYsSMlVf9SJzBbzkRj1aF/SiaStQDldYMq3fWv9IW2j5MEDT3s4SK1hU2ps8VWJEBLP2eTVx4zdTe46lDPZbXh5CNsPPkQnxyN1OpyZcnxq5VXfU4f6gIjdjYC3IzLwidHI7HlTLTFdj9Tn/8dA1xhKxJa7PdV2e6Zlx9naH1uo1LzcPZhKsA4iDiA4wCxjQAOEhvUc5KgUyM3TOzW0CLGkBFCTE9gK4FLj/Ea/wS2EnOHpbeIiAjUq1cPI0eO5Jd5enpizJgxOHDgAOTyiocefPrpp+jUqROef/55qFQq5Ofn69zuwIEDKC4uxsyZM/llHMfh9ddfR3x8PC5cuFDuc0yePBn/+9//+Meo/6nl5+dj3rx58Pf3h1gsRkhICNavX1+lasBl/fzzzxg6dCifVAHAM888gyZNmmDv3r0VPjYwMFAjqVLHPWLECMjlckRHR+t8XG5uLhQKhd4xFhYWQiKRQCIpOd/c3EquDQsKCgAAv/zyC65fv66zhay0w4cPw9nZGT169MCpU6fAcRz279+vtd2PP/4IjuP492ry5MlwcHBAVFQUBg8eDEdHR4wfP17v+I2JJjwxEfUFZ3ZBEe4m5mLruccWcaGpq3Wi7EUcAP5Ce97AEIzp6I9mvk5wdxDDzkYAWyEHkYBDx4Z1e1C8ei4riUgAW6EAT9LyceR2kkW8z1VVnQQwOVuGsw/TEJWSi8jkXDxIzsGDp7kWMXaprPLO/4qmHTCHy48z8OBpLrydxEjPLwLHQSvuuIwC5MmVkNgIoP5dFwk42IoE6NLIHcuHtcC40AZ1+jNKCLEe169fR/v27SEQaF6adurUCQUFBXjw4EG5j83JycHly5cRGhqKxYsXw9nZGQ4ODmjUqJFW8nH9+nXY29ujWbNmWs+jXl+eGTNm4NlnnwUA7Nixg/8HAIwxPPfcc/jss88QFhaGTz/9FCEhIXjnnXfw9ttv638gSklISEBKSgo6duyota5Tp04VxloR9ZRIHh4eWuumTJkCJycnSCQS9O3bF1evXq10f+3atUN2djY++eQTxMTEYPny5XB2dkZISAjkcjnmzZuHlStXwtXVtcL9HDlyBM8++yxEIhH69OkDf39/hIeHa20XHh6OoKAgdO3alV+mUCgwcOBAeHl5Yf369XjhhRcqjdsUDO4KSCrm7yaFjZBDSm4RPB1tUaxkFjHOQVf3tNORKVpjbNQX2equU8nZMiiUDEoVg62Qg9RWZNJugNZAPZfV0xwZFEoVilUMF6LSkZBZyLcSGFptz1okZcsgthHAxc4GmQXFABjS8ouhZPnVukNnKrrKrltahcCo1DycfZCK5BwZnubI0MbfBaEN3RDa0E2rW2mguz2e5shQWKSEigFP0gsgEnC4nZAFIKDC5yGEEEuSlJSEXr16aS338fEBACQmJqJVq1Y6HxsVFQXGGHbv3g2RSISPP/4Yzs7O+OKLLzBu3Dg4OTkhLCyMf5569epp9Vgo/Tzl6dq1K5o0aYJjx45hwoQJGusOHjyIkydP4oMPPsCSJUsAAG+88QZGjx6NL774ArNmzUJQUJCeRwN8rKVjKxtvRkYG5HI5xGL9r8cyMjLw7bffomfPnhr7tbW1xQsvvIDBgwfDw8MDd+/exfr169GzZ0+cP38e7dq1K3efDRs2xNq1a7Fw4ULMnz8fdnZ2+O677yCVSrF69WpIpVK89tprFcZVUFCA06dPY/PmzQBKWtYmTJiATz/9FNnZ2XB2dgYApKam4ujRo/wxVpPL5Rg9ejTWrFmj97EwBWqxMpEgTwdM6R6I5r6OcJHaWswgeUC7daKiMTalu075u0nR0N0e9Zzt0MBdCm8n6+liYArquaxm92+MHo094SgRIcjTXqOrlqHV9qyBOgHILizG01wZOJR8oXDAv60oltnNrvT5b4kVAuMyClCsYugf4gUvJwl6/Rtr2c+t+vwb3tYPvi52cJCU3CdTgeHh0zx+jjVSNXl5eVi+fDnCwsLg5uYGjuOwbds2re0mT56ss3pW06ZNtbatTgUyQuqKwsJCnQmCuntZYWH53895eSW/r+np6Thw4ABef/11vPTSSzhx4gTc3d3xwQcfGOV5KnLkyBEIhULMnj1bY/m8efPAGOOraFeFOhZjxatSqTB+/HhkZWVhw4YNGuu6deuGiIgIvPLKK3juuefw7rvv4uLFi+A4DosWLap03/Pnz0dCQgIuXLiAhIQEvPjii0hMTMSaNWvw+eefQ6FQ4M0330SDBg3QqVMnnDt3TuPxJ0+ehFwux6BBg/hlEydOhFwuR0REBL9sz549UCgUWoktALz++ut6HwtToRYrE+oT4qU1t5ElqqjIQumkK8TbEb4uEvx6MxEZ+UXYeyWu1rbE6Ev92s9EliQYJ++noI2/C99VyxLmLDOV0gnAueh0pOXKUVCkAIeSyoeWciOhIpYy/YGumJJz5Qip51jhOMYgTwdM6BKAp9kynHmYCgaAMUBWrDL5VAi1VVpaGlatWoUGDRqgTZs2OH36dLnbisVifPvttxrL1HdVS6tOBTJCapOioiJkZGje9PH09IRQKISdnZ3OcVQymQwAYGdX/vezel1gYCA6d+7ML3dwcMCwYcOwc+dOKBQKiESiaj1PRWJiYuDr6wtHR0eN5eouhzExMeU+Ni8vj08OAUAoFMLT05OPxVjxvvnmm/j999/xww8/oE2bNpVuHxwcjOHDh2Pfvn1QKpWVFvWoV68e6tWrx/+9cOFC9O/fH/3798d7772HEydOYM+ePTh16hSGDBmCJ0+ewMXFBUDJ+KqOHTtqPL5p06YIDQ1FeHg4pk6dCqCkG2CXLl20KhWKRCLUr19f30NhMpRYmZi5J7HVV3lxlk66ErMKsPWvx3iSXgBbkQC5NTBBsDUonWDcScrhWxgA7XExtUnpBKBTQ7d/k+4kFBYrAXCIyyiw+HPDEis3VjUmdctVsUqFvx6mQSwSQCwS1vmuuoby8fFBUlISvL29cfXqVa2yw6WJRCKdd01Ls7YKZISY0vnz59G3b1+NZY8fP0bDhg35z15Z6mW+vr7l7le9rvRFuZqXlxeKi4uRn58PZ2dn+Pj44NSpU2CMafSs0Od5TGX9+vUahR0CAgLw5MkTvqteecfFzc1N726AK1euxKZNm7B27Vq8/PLLesfm7++PoqIi5Ofnw8nJSe/HXbx4EREREbhz5w4AYNeuXVi6dCm6du2Krl274uuvv8avv/7Kf4ceOXIEU6ZM0drPxIkTMWfOHMTHx0Mul+PixYv8d2lpYrFYa3yeOVBiRSqlvrD7/q9oJGbLoGJAsUIFpcjyxtCYQ3ktDJZ40W5MZV9fXEYBLkZnILugCE/SCrD13GOraNG0xJsfhsRkIxDAUWIDpYqhqU/FLV2kfGKxGN7e3npvr1QqK7zgqKgC2UsvvYQLFy6gR48e1Y6bEGVhLp6GL9RYVm/8RxDaOZbziJrXpk0bHDt2TGOZ+vPWtm1bnD17FiqVSuMC+dKlS5BKpWjSpEm5+/X19YW3tzcSEhK01iUmJkIikfAtSW3btsW3336Le/fuaZT+vnTpEr++IuV1cw8ICMDx48eRm5ur0Wqlnii3bHW+0iZOnKjxPaBuhfLz84Onp6fOAhKXL1+uNFY19bxbc+fOxcKFCyt/QCnR0dGQSCRwcND/N4kxhtmzZ2POnDn8uLLExESNpNXX15d/v+7cuYPY2FgMGaI9R9q4cePw9ttvY9euXSgsLISNjQ3Gjh1bpddQk/RK7QQCAYRCYZX/kdohKjUPh28lISVHDjsbARhjEIkEaOnnRBdvqLhcuTWUW6+O0q/P302KYqUK8VmFcLIT8gVbiOmpW027BLrBRWqDRv+OH6tt4/osTUFBAZycnODs7Aw3Nze88cYbGt15AMMrkMnlcuTk5Gj8I6RCTIXi9FiNf2Aqc0elwdXVFc8884zGP/VYoVGjRuHp06fYt28fv31aWhp++uknDBs2TKNlJioqClFRURr7Hjt2LOLi4jQSt7S0NBw4cAD9+vXjk7Xhw4fDxsYGmzZt4rdjjOGrr76Cn58funXrVuFrUM+NlJWVpbF88ODBUCqVWq0pn332GTiO0xg7VFajRo00jkn37t35dS+88AJ+/fVXxMXF8ctOnDiBBw8eYPTo0fyy4uJi3L9/X6t1a8+ePZg9ezbGjx+PTz/9tNwYUlNTtZbdvHkTBw8exIABA6rUGrRt2zbExcVpFJioV68en2QWFxfj0aNHfFJ95MgR1KtXT2f1Qw8PDwwaNAg7d+5EeHg4wsLCdFYztBR6tVgtW7ZMK0Pfv38//vnnHwwcOJCf/Ov+/fs4evQoWrZsiREjRhg92NrA2qrEqedquv80F4lZhVAqVRAIOPi5SDCle6BVvIaaYImtHuZgZyOESMAhT6ZEiLdNrev+aKn83aSwEXC4GpsJhVKFY3efIjI5Fw3cpBZR6bA28vHxwYIFC9C+fXuoVCr8/vvv2LRpE27evInTp09DJCr5eTW0AtmaNWsqnfOFkNpk1KhR6NKlC6ZMmYK7d+/Cw8MDmzZtglKp1Pos9O/fHwDw5MkTftmiRYuwd+9evPDCC3j77bfh7OyMr776CsXFxVi9ejW/Xf369TF37lysW7cOxcXFCA0NxS+//IKzZ88iPDy80oaBDh06AABmz56NgQMHQigUYty4cRg2bBj69u2LJUuW4MmTJ2jTpg2OHj2KAwcOYO7cuVWuCKi2ePFi/PTTT+jbty/mzJmDvLw8rFu3Dq1atdLoOpeQkIBmzZph0qRJfMGdy5cvY+LEiXB3d0f//v21Spd369YNjRo1AlCSmNrZ2aFbt27w8vLC3bt3sWXLFkilUqxdu1bveHNzc7F48WKsXr1ao+Vu1KhRWLVqFVQqFc6dOweZTIbBgwcDKBlfNWjQoHJbAydOnMhPWvz+++/rHYs56JVYrVixQuPvLVu2ICUlBXfu3OGTKrV79+6hX79+ZumjaunUVeIsqbRzZS4/TseN+CyoVAwKpQpSWyEcJTZwENtYbNU3UrOiUvNw+XE6IpPzoFAxdA/ywD9JOWjm42Tx53dtEeTpgJ5NPJGcI4OL1Aa343Pg6WDLVzqk98H4ypb0HTduHJo0aYIlS5YgIiKCL0phaAWyRYsWacx9k5OTA39/f2OFT4jFEQqFOHLkCN555x18+eWXKCwsRGhoKLZt26Z1ralLvXr18Ndff2H+/Pn47LPPUFxcjK5du2Lnzp1ahRrWrl0LV1dXfP3119i2bRsaN26MnTt34qWXXqr0eUaOHIk333wTu3fvxs6dO8EYw7hx4yAQCHDw4EEsW7YMe/bswdatW9GwYUOsW7cO8+bNM/i4+Pv7488//8Tbb7+Nd999F7a2thgyZAg++eSTSsdX3b17F0VFRUhNTcUrr7yitX7r1q18YjVixAiEh4fj008/RU5ODjw9PTFy5EgsX75cq1BERd5//33Ur18fkydP1li+cuVKpKamYuXKlfD29kZERAQ8PT2RnZ2N8+fPY9asWeXuc9iwYXB1dYVKpcJzzz2ndyzmwDEDJptp3LgxpkyZgsWLF+tc/+GHH2Lbtm14+PBhtQM0h5ycHDg7OyM7O7tKA/UqczoyBeGXYvkqcRO6BKB3E0+j7d8Udl2OxcaTJe9jep4cEhshbEUCBLjb442+wegT4mXmCC2TtbVMGkrdonkjPgsKpQocx6FYqQIHoIWfM5YPa1GrX78lUd+4ic0oQHK2DN7OEqtssTLV968h1MUrtm7dqnWRoEthYSEcHBwwZcoUvlrg0KFDce/ePa1uSwUFBbC3t8e7776r17wrlnRciOk1fPdwlR+jLMhG/IbxGsvqvxkOoVS7UmV1PFmrPQ6GEEPt3bsX48ePR1pams6qqkDJ5L++vr4YNmwYvvvuuxqOsIS+38EGFa+Ij4+HjY1NuettbGwQHx9vyK5rNUss7VyZToFuaOPvgidp+XC1t4WPkwQx6QVQqhh+v5Nc6xMHQ1hjy2RFKkoS4zIKkJQjg0QkABMKICtWorBICRshh38SsqlqZA1r4++Mtg1c4O0kAcdxtbJoiiWzs7ODu7u7RjlpS6xARgghlsLFxQVffvlluUkVAPzyyy9ITU3FxIkTazAywxiUWLVs2RKbNm3CSy+9BD8/P4118fHx2LRpU7mzY9dl1lglLsjTAWM6+mPrucfIKVTgemwWZAol6qnEiM0ooG5G/yqdfNSm+asqSxL93aTwcZLgaY4MCqUKYIBcoYKsGACU2HMlFt5OEmrZNLHalsxbq9zcXKSlpcHT87+eCNWtQEYIIbXZgAEDyl136dIl3Lp1C++//z7atWuH3r1712BkhjGo4Ptnn32GlJQUNGnSBBMmTMCKFSuwYsUKjB8/HiEhIUhJSamw8khdZq1V4mxFQrhKbZAtK4ZSxRCfJUOxUmUVrW6mpr6oDb8Ui2/ORAOoPfNXlU4S1eN1SlPPofRipwYIcLeHQMCBMUDIAQzA/aRcrDp0F6cjU8zzAuqIyt4nYlwymQy5ublay99//30wxhAWFsYvq24FMkIIqas2b96M119/HV5eXvjhhx/MHY5eDGqx6tGjBy5duoSlS5di//79/OBbOzs7DBw4ECtXrqQWKytWtuuXugvjzfgs2AgFcBALoVQxjYlw67KyLVQcx1ldy2R59Om+GuTpgFZ+zrgVnw1HWxGe5qRC8e/ITS9HW+TKFLiTkE2tViZkjd2MLdnGjRuRlZXFV+w7dOgQ3739zTffRGZmJtq1a4cXX3wRTZs2BQD88ccfOHLkCMLCwjB8+HB+X9WtQEYIIXXVtm3b+AqH1sLgCYJbtmyJ/fv3Q6VS8bXvPT09LWLWY2K48roUTevVCFeeZOC320nIlSng7SzB4FY+5g7XIui6qK0t5df16b4alZqHpOxC2Ag5xGfKYCvkIBAAsmKGlNwiuDuI0dLPuIOniSZr7GZsydavX4+YmBj+73379vFz60yYMAEuLi4YOnQojh07hu3bt0OpVCI4OBirV6/G/PnztX4Hq1OBjBBCiPUwOLFSEwgE/IzMlFRZv/LGB6n/hTZ0o4u3Mmr7RW1FSWLpRNxGwKGZjxMy8oogEnJ4mi0DB8DFTgR/N2nNBl0H1ZZk3hKUnhunPDt27NB7fwKBAIsWLcKiRYuqERUhhBBLZ3AmdPXqVYSFhUEqlcLd3R1//vkngJJZrocPH47Tp08bK0ZiRFGpeTgdmYKo1Dyd6yvrUmStY8RMRX08AdTJ41I6ES9WMQR62MPTUYysgmIoGaBUMUSl5uPI7aTKd0YIIYQQYsUMarE6f/48+vXrBz8/P0yYMIGfrwMAPDw8kJ2dja+//hp9+vQxVpzECPSpHFbbW1+MiSqxaSbiNgIOZx6kICY9HwVFSjAAChWDCEBmfpG5QyWEEEIIMSmDWqwWL16MZs2a4e7du1i9erXW+r59+/KlZInl0LdyGLVK6ae6ldjKth5W1ppoidSJ+IQuAWjq44To1HzIFSoAAAdAxQCxjRCN69G5RAghhJDazaAWqytXrmDNmjUQi8XIy9O+CPTz80NycnK1gyPGVVsqh1U0YW1Nqs7xLNvaFdbSG7/fSbbK1i/12J7ErAIIBRxsBBwUKgYbQUnJdaGAw293ktEp0N1qXpO1sZTPBCGEEFKXGZRY2djYQKVSlbs+ISEBDg70425pakM3P0vqfled41m2SMjthGyrn1S4U6A7Oga44XF6PgrkCmQXFiO7UIGcwmJcjs7AkdtJeLNfY3OHWetY0meCEGI+nNAGDu2GaC0jhNQcgxKrLl26ICIiAnPnztVal5+fj61bt1rF7Mh1kbVXDiuvaqG5GHo8y7Z2tfJzRkJmoVW3JqonC77yJAPhF2OQmF0IhpLugMVKFW7HZyEqNc+qzz9LZGmfCUKIeQjEUrgPeN3cYRBSpxmUWK1cuRK9e/fGkCFD8OKLLwIAbt68iejoaKxfvx6pqalYunSpUQO1NtQ1xzRqS3dGXa1d/m5Sq25NBEpe1+XHGXiaU1JqHSjpDggAcZmF+OZMNLWoGFlt+UwQQggh1s6g4hWdO3fGkSNH8OjRI0ycOBEAMG/ePEyfPh1KpRJHjhxB69atDQpILpdj4cKF8PX1hZ2dHTp37oxjx47p9djjx4+jb9++8PDwgIuLCzp16lSluUaMRd01J/xSLL45E21VxQgsnToh6d/MC238XcwdTrWULRJSG4qGRKXmITI5F3KFCiKBABwAOxsBxDZCNPFyMKjIB6lY6QIilLQSQggh5mPwBMH9+vVDZGQkbty4gYcPH0KlUiEoKAgdOnQAx3GV76AckydP5rsZNm7cGNu2bcPgwYNx6tQp9OjRo9zHHTx4ECNGjEDXrl2xYsUKcByHvXv3YuLEiUhLS8Nbb71lcExVRV1zTO9GbBbS84twMy6LLiYthPqGws24LOTJFFD+21RVWKyCAMCdxByENnSjFhUTsPYuvoTUFQ3fPWzuEAghJmRwYqXWtm1btG3b1gihAJcvX8bu3buxbt06zJ8/HwAwceJEtGzZEgsWLMD58+fLfezGjRvh4+ODkydPQiwWAwBmzJiBpk2bYtu2bTWaWFHXHNOixNUyqd8XZzsROABiEQe5gpWUXQcgK1IirKU3vVeEEEIIqZUM6gooEAjg4+ODM2fO6FwfHh4OoVBY5f1GRERAKBRi+vTp/DKJRIKpU6fiwoULiIuLK/exOTk5cHV15ZMqABCJRPDw8ICdXc0mNtQ1x7TKJq6MMaub/6k2Ur8v2YUKgAOKFSVNVuoxVkVKFZJzZOYLkBBCCCHEhAxusZLJZHjmmWewbt06zJkzxyjBXL9+HU2aNIGTk5PG8k6dOgEAbty4AX9/f52P7dOnDz766CMsXboUkyZNAsdx+PHHH3H16lXs3bvXKPFVFWOs8o1IlZUu/MAYs9r5n/RlLYVQ1O/LkdtJOHIbUClVeJiSD/XEDDmFxfjtdhJCG7pZ9OsghBBrpJLlIWXfBxrLvEa+B4GEvm8JqSkGJ1aff/45Ll++jLfeegtXr17FN998A4lEUq1gkpKS4OPjo7VcvSwxMbHcxy5duhSPHz/Ghx9+iA8+KPlikUql+PnnnzF8+PAKn1cul0Mul/N/5+TkGBI+j+aVMT31mJLTkSm1ulugtZ1LQZ4OGNzKBwmZhYh8mgtHOxGKFSrIFSrY2QqRK1PUuveIEEIsAVMpIY+7o7WMEFJzDOoKCJRMEvy///0P27Ztw759+9C9e3fExsZWK5jCwkKNrnxq6oStsLD8amJisRhNmjTBqFGjsGvXLuzcuRMdO3bEhAkTcPHixQqfd82aNXB2dub/ldcqpq/SY4CoCpppWft4tqjUvAq7MVrjuaRuuRob6o/G9RygZAwqBuTKlShSqCz+ParsPSGEEEII0aXaxSsmTpyI1q1b44UXXkCHDh2we/dug/dlZ2en0XKkJpPJ+PXlmTVrFi5evIhr165BICjJF8eMGYMWLVpgzpw5uHTpUrmPXbRoEd5++23+75ycnGolV9Z+sW9NdM0HZS30aY2ylHOpqt0R1S2KjAFPs+VIyZVBoWRIzi5EXEZBjb9P+sZvbS2EhBBCCLEc1U6sgJLKgH///TdeeuklhIWFoWfPngbtx8fHBwkJCVrLk5KSAAC+vr46H1dUVITvvvsOCxYs4JMqoKRVbdCgQdi4cSOKiopga2ur8/FisVhnS5mhrPli3xpZa6npuIwCxGYUwMPBFrEZBTq7yFnCuVSdZKNToBu2/iWEQgU4ioVQMeBOQjb6hHiZOOr/VCV+qjhJCDEElVEnhADV6ApYlouLCw4fPozFixfjzz//NGgfbdu2xYMHD7TGOKlbm8or656eng6FQgGlUrsvcXFxMVQqlc51plQbJnslppecLcOFqAwkZ8vKLXZi7nOput0RnaQiiLiS+aykYhFa+jmbKFJtUal5OHwrCbEZBXrFbykthIQQQgixPgYlVo8fP8aIESO0lnMch5UrV+LmzZs4efJklfc7atQoKJVKbNmyhV8ml8uxdetWdO7cme+eFxsbi/v37/PbeHl5wcXFBfv370dRURG/PC8vD4cOHULTpk1rvOQ6IfrwdpagW5AbvJ0l1ZpY25Sqk2zEZRTAVihE2wYu8HKWYGyof421Vqlbqi5GpyM5W4arMZmVxk9TJRBCCCHEUAZ1BQwICKhwfcuWLQ0KpnPnzhg9ejQWLVqElJQUBAcHY/v27Xjy5Am+++47fruJEyfizz//5O/wC4VCzJ8/H++99x66dOmCiRMnQqlU4rvvvkN8fDx27txpUDyEmJK/mxQN3KRIzy9CAzepxbaOlC1vH5dRwC/XR3K2DLkyBRwlIrSqwdYqdUtbxwBXXI3JRLcgdwxq5VNp3NbatZQQQggh5qVXYrVq1SpwHIclS5ZAIBBg1apVlT6G4zgsXbq0ygH98MMPWLp0KXbs2IHMzEy0bt0av/76K3r16lXh45YsWYLAwEB88cUXWLlyJeRyOVq3bo2IiAi88MILVY6DEFOzhPFT+lLHZshYK29nCVr52SI1r6hGW+VKt7Q1cJPqlVQRQgghhBiKY3rMYisQCMBxHAoLC2Fra6tRIKLcHXNcjY9rMpacnBw4OzsjOztba7JifZyOTMGt+Gy0ru9co4P0ifmoq86pWfpkvmpVqfZ3OjIF4Zdi+cIOE7oEoHcTz0r3b84qe1GpeVaRuJL/VPf7t7ai42LZLKF4hbIgG/Ebxmssq/9mOIRS4/YUeLJ2iFH3R4g10Pc7WK8WK5VKVeHf5D+nI1Ow6tBdvusTAEquajl18hCbUYDkbBm8nSVo4CY1WhJR1VLnVdlvVZIeQ8ZaBXk6IKylN24nZKOVn3ONJzfUrY8QQoxL3ySSEjBSFxml3Dr5z634bOTKFGjobocn6YU1Xlqa1Dz1WB4PB1s8fJqHVn62fPW56l7Um7LFp6qlxQ3puhiVmoff7yQjPb8ICZmFVtOSRwghhBBSVUYrt05KtK7vDEeJCE/SC+EoqdnS0sQ81C05aXlFcJSIkJpXZLRS3dUtdV4RQ1ugqlL63ZTxE0IIIYRYEr1arAIDA6s86JzjOERFRRkUlDVTt07dSchGSz8aY1UXlK2ax3Gc0cb0mHJepZoonkHzQhFCCCGkrtArserdu7fFzrFjifqEeFFCVceYaiyPqZMfU49BsqbKh4QQQggh1aFXYrVt2zYTh0EIKU9tKMCgR/FRQggh1cAJRZCGdNdaRgipOTTGihBiMlGpefjkaCS+PPEQnxyNRFRqnrlDIqRCeXl5WL58OcLCwuDm5gaO48q9uXjv3j2EhYXBwcEBbm5uePnll5Gamqq1nUqlwscff4zAwEBIJBK0bt0au3btMvErIXWNQGwPzxGLNP4JxPbmDouQOqVatzKKi4tx//59ZGdn6yzBXtmkvrWVqcpjG5u1xEmsg67z6fLjDNyMy4KtUICnOTJceZJhUecafQZIWWlpaVi1ahUaNGiANm3a4PTp0zq3i4+PR69eveDs7IzVq1cjLy8P69evx+3bt3H58mXY2try2y5ZsgRr167FtGnTEBoaigMHDuCll14Cx3EYN25cDb0yQgghpmZQYqVSqbBo0SJs2rQJBQUF5W5nrRMEV4e5J0TVl7XESaxD+ecTAwPAcYCldQa05M8AJXzm4+Pjg6SkJHh7e+Pq1asIDQ3Vud3q1auRn5+Pv//+Gw0aNAAAdOrUCc8++yy2bduG6dOnAwASEhLwySef4I033sDGjRsBAK+++ip69+6Nd955B6NHj4ZQKKyZF0cIIcSkDOoKuHr1aqxbtw4TJkzADz/8AMYY1q5di6+++gqtW7dGmzZt8Mcffxg7VqsQl1GA2IwC2NkIEJtRYLHlpWtLGeyo1DycjkyhLmZmVt751CnQHW3ru8BZaou29V0Q2tDNzJH+x1I/A+qEL/xSLL45E03ndg0Ti8Xw9vaudLuff/4ZQ4cO5ZMqAHjmmWfQpEkT7N27l1924MABFBcXY+bMmfwyjuPw+uuvIz4+HhcuXDDuCyCEEGI2BiVW27Ztw5gxY7B582aEhYUBADp06IBp06bh0qVL4DgOJ0+eNGqg1iQ5W4YLURlIzpZZ7KD92lAGmy5ALUd551OQpwPmDQzB3GeaYN7AEItqfbHUz4ClJnzkPwkJCUhJSUHHjh211nXq1AnXr1/n/75+/Trs7e3RrFkzre3U6wkhhNQOBnUFjI+Px4IFCwCU3N0DAJlMBgCwtbXFhAkT8Omnn2L16tVGCtO6eDtL0MrPFql5RRZbpr42lMEufQF6LzkX8ZmFVvk6aoOKzidLrWpoqZ8BS034yH+SkpIAlHQbLMvHxwcZGRmQy+UQi8VISkpCvXr1tH4L1I9NTEzU+RxyuRxyuZz/Oycnx1jhE0IIMRGDEit3d3fk5ZW0Djg4OMDJyQnR0dEa22RmZlY/Oivk7yaFi50NYjML4eMkseiLIku94NUXXYBaFks9nyoar2SJMVtqwkf+U1hY0oqovrFYmkQi4bcRi8X8fyvaTpc1a9Zg5cqVxgqZ1AEqeT7Sf/tSY5n7oNlUGZCQGmRQYtWuXTtcuXKF/7tv3774/PPP0a5dO6hUKnz55Zdo06aN0YK0OhzA/ftfYjp0AWo5LLXYgrq7aGxGAWyEHKZ0D7SKybstMeEj/7GzK7mJU7pFSU3de0O9jZ2dnV7blbVo0SK8/fbb/N85OTnw9/evXuCkVmNKBQoiz2kscxsws5ytCSGmYNAYq+nTp2t0U/jwww+RlZWFXr16oXfv3sjJycEnn3xi1ECtRVxGAYqVDD2CPVCsZDQ+wsSCPB3Qu4knXYSakSWPdVMXk8kuKMLdxFxsPffYouIj1kndjU/dJbC0pKQkuLm58a1UPj4+SE5O1hpvq36sr6+vzucQi8VwcnLS+EcIIcSyGZRYPffcc9i3bx//w9G8eXNERUVh3759OHjwIB4+fIguXboYNVBrQd3TSF2hrsh4+XGGxRZb8HeTwkbIISW3CJ6OtnSzgxiFn58fPD09cfXqVa11ly9fRtu2bfm/27Zti4KCAty7d09ju0uXLvHrCSGE1A4GJVa6ODs7Y/jw4Rg6dCjc3CynpHJNU3dPm9AlwKLmxSHEmEq3Up19kAobIWeRNxOCPB0wpXsgmvs6wkVqiwZuUouKj1ivF154Ab/++ivi4uL4ZSdOnMCDBw8wevRoftnw4cNhY2ODTZs28csYY/jqq6/g5+eHbt261WjchBBCTMegMVZqxcXFSEhIQGZmps6y4u3bt6/O7q0WjY8gtV3Zioz9m5WMW7LE2QX6hHjB301KY/GI3jZu3IisrCy+Yt+hQ4cQHx8PAHjzzTfh7OyMxYsX46effkLfvn0xZ84c5OXlYd26dWjVqhWmTJnC76t+/fqYO3cu1q1bh+LiYoSGhuKXX37B2bNnER4eTpMDE0JILWJQYpWVlYX58+cjPDwcRUVFWusZY+A4DkqlstoBEkIsT9kur95OEvx+Jxnp+UW4GZdlca21lnqzw9RFPyy1qIilW79+PWJiYvi/9+3bh3379gEAJkyYAGdnZ/j7++PPP//E22+/jXfffRe2trYYMmQIPvnkE60qgGvXroWrqyu+/vprbNu2DY0bN8bOnTvx0ksv1ejrIoQQYloGJVaTJ0/GoUOHMG7cOHTu3BnOzs7GjosQYsHKVmSkOcWqTt2dMj2/CO72tkZPRk29/9rsyZMnem3XokUL/PHHH5VuJxAIsGjRIixatKiakRFCCLFkBiVWR48exezZs/HZZ58ZOx5CiJUo2wpERVuqxtTJKCW7hBBCSM0yeILg4OBgY8dCCLFSNKdY1Zm6gihVKCWEEEJqlkGJ1fTp07F79268/vrrEAiMVliQEGLFLHUck6UydTJKyS4hhBBSswxKrJYuXQq5XI6OHTvi5ZdfRv369XVWNho5cmS1AySEkNrK1MkoJbuEEEJIzTEosUpISMDJkydx48YN3LhxQ+c2VBWQEEIIIYQQUlcYlFi98soruHbtGhYtWkRVAQkhpJqoLDohhBBi/QxKrP766y8sXLgQK1euNHY8hBBiEGtNTqgsOiGEEFI7GJRYeXt7w83NzdixEEIqYK2JQ02w5uSEyqITQoyBEwgh9m+ptYwQUnMMSqzmzZuHzZs3Y+rUqXBwoAsAQkzN0hMHcyd91pycUFl0QogxCCQO8H5prbnDIKROMyixkslksLGxQXBwMMaMGQN/f3+tqoAcx+Gtt94ySpCE1HWWnDhYQtJnzcmJscqimzu5JYQQQuo6gxKr+fPn8/+/ceNGndtQYkWI8Vhy4mAJSZ+1z9lU3bLolpDcEkIIIXWdQYnV48ePjR1HrUJ3jklVnI5Mwa34bLSu74w+IV46t7HkxMFSkr66PGeTJSS3hNRGDd89bO4QCCFWpMqJVWFhIb744gv07dsXw4YNM0VMVo3uHFsWS09yT0emYNWhu8iVKeAoKfk4VpRcWeJrsOSkrzbQ5xy2lOSWEEIIqcuqnFjZ2dnh66+/RvPmzU0Rj9WjO8eWwxqS3Fvx2ciVKdDQ3Q5P0gtxJyG73MTKkllq0mft9D2HKbklhBBCzM+groAdOnTAnTt3jB1LrUB3ji2HNSS5res7w1EiwpP0QjhKRGjpZ72TbVt66yBgHTGWVpVzmJJbQuo2lbwAmX9u11jm2nsSBGKpmSIipO4xKLH6/PPPMXjwYLRs2RKTJ0+GSGTQbmolunNsOawhyVW3Tt1JyEZLP91jrCwtGdAVjzW0DlpDjGVZwzlMCLEMTFmMvOuaY8JcerxkpmgIqZsMyogmT54MgUCAGTNmYPbs2fDz84OdneYPPsdxuHnzplGCtDZ059gyWEuS2yfEq9zuf5aWDJQXjzW0DlpDjGVZyzlMCCGEEAMTKzc3N7i7uyMkJMTY8RBiVNae5FpaMlBePNbQsmINMepi7ecwIYQQUlcYlFidPn3ayGEQQnSxtGSgvHisoWXFGmIkhJDaQt9S9U/WDjFxJITUHBocRayOpY05MiVLSwYqiscaWlasIUZCCCGEWCeDEyulUomdO3fi8OHDiImJAQAEBARg6NChGD9+PIRCodGCJETN0sYc6UOfRLCibSwtGbC0eAghhBBCLIHAkAdlZ2eje/fueOWVV3D06FEUFxejuLgYx44dw5QpU9CjRw/k5OQYO1ZCNMb4pOcXIT6z0NwhVUidCIZfisU3Z6IRlZpn0DaEEEIIIcSyGZRYLVmyBH///Tc2bNiA1NRUXLt2DdeuXUNKSgo2btyIq1evYsmSJcaOlRCLG3NUGX0SQWtLFgkhhBBCiDaDugLu378fM2fOxMyZMzWW29jY4PXXX8e9e/cQERGBDRs2GCVIQtQsbcxRZfRJBK0tWSSWoS6NNSSEEEKsgUGJVXp6eoWl1ps2bYqMjAyDgyKkItY0xkefRNDakkViftY41pAQQgip7QzqChgcHIyDBw+Wu/7gwYMICgoyOChCapMgTwf0buJZ4YWvPtsQokbdRwkhhBDLY1CL1cyZMzFr1iwMHjwYc+fORZMmTQAAkZGR+PLLL3Hs2DFs3LjRqIESQggpQd1HCakefedYIoSQqjA4sUpJScHatWvxxx9/aKyzsbHBsmXL8PrrrxslQGtH4yBIVdD5UjdV9X2n7qPmd/r0afTt21fnugsXLqBLly783+fPn8eCBQtw7do1ODk5YcyYMVi9ejUcHOh9I0SfJJcmESbWwuB5rFasWIFZs2bh+PHjGvNYPfPMM/Dw8DBagNaMxkFUX11KNOh8sVymPA8Nfd+taaxhbTZ79myEhoZqLAsODub//8aNG+jfvz+aNWuGTz/9FPHx8Vi/fj0ePnyI3377rabDJYQQYkIGJ1YA4OHhgXHjxhkrllqn9DiIe8m5iM8spAuhKqhriQadL5bJ1Ochve/WrWfPnhg1alS56xcvXgxXV1ecPn0aTk5OAICGDRti2rRpOHr0KAYMGFBToZLajhPAxr2B1jJCSM2pVmKVm5uLmJgYZGZmgjGmtb5Xr17V2b3Vo3EQ1VPXLjjpfLFMpj4P6X23frm5ubCzs4NIpPmTmpOTg2PHjuGtt97ikyoAmDhxIt566y3s3buXEitiNEI7R/i+usncYRBSpxlcbn3WrFn4+eefoVQqAQCMMXAcp/H/6nV1laWNg7C2bnV17YLT0s4XUsLU5yG979ZtypQpyMvLg1AoRM+ePbFu3Tp07NgRAHD79m0oFAr+bzVbW1u0bdsW169fN0fIhBBCTMSgxGratGk4dOgQZs+ejZ49e8LV1dXYcdUaljIOwhq71VnjBWd1k1dLOV/If2riPKT33frY2trihRdewODBg+Hh4YG7d+9i/fr16NmzJ86fP4927dohKSkJAODj46P1eB8fH5w9e7bc/cvlcsjlcv7vnJwc478IQgghRmVQYnX06FG89dZb+Pjjj40dDzERa+1WZ00XnNaYvBrC2lo+jcGazkNSM7p164Zu3brxfz/33HMYNWoUWrdujUWLFuH3339HYWHJ/GJisVjr8RKJhF+vy5o1a7By5UrjB04IIcRkDBrVKJVK0bBhQyOHUkIul2PhwoXw9fWFnZ0dOnfujGPHjun9+D179qBr166wt7eHi4sLunXrhpMnT5okVmtS17rVmUNdmLRVnTyGX4rFN2eiEZWaZ+6QiAWISs3D6ciUOn8+BAcHY/jw4Th16hSUSiXs7Eq+Z0u3PKnJZDJ+vS6LFi1CdnY2/y8uLs5kcRNCCDEOg1qsJkyYgP3792PmzJnGjgeTJ09GREQE5s6di8aNG2Pbtm0YPHgwTp06hR49elT42BUrVmDVqlUYNWoUJk+ejOLiYty5cwcJCQlGj9PaWGO3OmtTF5JXa235JKZTV1pq9eXv74+ioiLk5+fzXQDVXQJLS0pKgq+vb7n7EYvFOlu6CCGEWC6DEqtRo0bhzz//RFhYGKZPnw5/f38IhUKt7dq3b1+l/V6+fBm7d+/GunXrMH/+fAAl1ZNatmyJBQsW4Pz58+U+9uLFi1i1ahU++eQTvPXWW1V7QXUEdWcyrbqQvNaF5JFUDSXbmqKjoyGRSODg4ICWLVtCJBLh6tWrGDNmDL9NUVERbty4obGMkOpSFcmQc/lnjWVOnV6AwFZipogIqXsMSqxKtxzp6qZnaFXAiIgICIVCTJ8+nV8mkUgwdepULF68GHFxcfD399f52M8//xze3t6YM2cOGGPIz8+nWe1JjavtyWtdSB5J1dTVZDs1NRWenp4ay27evImDBw9i0KBBEAgEcHZ2xjPPPIOdO3di6dKlcHR0BADs2LEDeXl5GD16tDlCJ7UUU8iRfW6XxjLH9kMBSqwIqTEGJVZbt241dhwAgOvXr6NJkyYa830AQKdOnQCUzGBfXmJ14sQJdOvWDV9++SU++OADpKenw9vbG0uWLMGsWbNMEi8hxmJNBSFqe/JIqqauJttjx46FnZ0dunXrBi8vL9y9exdbtmyBVCrF2rVr+e0+/PBDdOvWDb1798b06dMRHx+PTz75BAMGDEBYWJgZXwEhhBBjMyixmjRpkrHjAFDS57y8srQAkJiYqPNxmZmZSEtLw7lz53Dy5EksX74cDRo0wNatW/Hmm2/CxsYGM2bMKPd5jV3W1hIuki0hBqIfaxmjUtVzis7BuqMuJtsjRoxAeHg4Pv30U+Tk5MDT0xMjR47E8uXLERwczG/Xvn17HD9+HAsXLsRbb70FR0dHTJ06FWvWrDFj9IQQQkzBoMSqtKSkJKSkpCA4OBj29vbV2ldhYWG5ZWnV63XJyyupRJWeno7du3dj7NixAErGgrVq1QoffPBBhYmVMcvaWsJFsiXEQPRnDWNUqnpO0TlIarvZs2dj9uzZem3bo0cPnDt3zsQREUIIMTeDyq0DwIEDB9C0aVPUr18f7du3x6VLlwAAaWlpaNeuHfbv31/lfdrZ2ZVblla9vrzHAYCNjQ1GjRrFLxcIBBg7dizi4+MRGxtb7vMas6ytJZTctoQYiP6sYYxKVc8pOgfrJiq7TgghpC4zKLE6dOgQRo4cCQ8PDyxfvhyMMX6dh4cH/Pz8sG3btirv18fHp9yytADKLU3r5uYGiUQCd3d3reqEXl5eAEq6C5ZHLBbDyclJ45+hLOEi2RJiIPpTj1GZ0CWgRlt2qnIRXNVzis7BuofmOCOEEFLXGdQVcNWqVejVqxdOnTqF9PR0rFixQmN9165d8fXXX1d5v23btsWpU6eQk5OjkdyoW8Patm2r83ECgQBt27bFlStXUFRUBFtbW36delxW2epNpmIJA7ktIQZSNTU9RqWqXfWqek7ROVj3WEOXVlL7NXz3sLlDICag7/v6ZO0QE0dCSMUMarG6c+dOhfNv1KtXDykpKVXe76hRo6BUKrFlyxZ+mVwux9atW9G5c2e+ImBsbCzu37+v8dixY8dCqVRi+/bt/DKZTIbw8HA0b968wokYjS3I0wG9m3ia9aLCEmIglsuQrnpVPafoHKxbqJWSEEJIXWdQi5VUKkV+fn6566Ojo+Hu7l7l/Xbu3BmjR4/GokWL+IIY27dvx5MnT/Ddd9/x202cOBF//vmnRhfEGTNm4Ntvv8Ubb7yBBw8eoEGDBtixYwdiYmJw6NChKsdCSG1GF8HE2KiVkhBCSF1nUGLVt29fbN++HXPnztVal5ycjG+++QZDhw41KKAffvgBS5cuxY4dO5CZmYnWrVvj119/Ra9evSp8nJ2dHU6ePIkFCxbg+++/R35+Ptq2bYvDhw9j4MCBBsVCSG1l6otgKrVeN9XFsuuEEEKImkGJ1YcffoguXbogNDQUo0ePBsdx+OOPP3Dy5El8/fXXYIxh+fLlBgUkkUiwbt06rFu3rtxtTp8+rXO5l5eXQUUzSO1AF/NVY6qLYCq1TgghhJC6yKDEKiQkBH/99RfmzJmDpUuXgjHGJ0J9+vTB//73PzRs2NCYcRJSIbqYtwxRqXk4fCsJsRkF6BjgSkUMCCFGQ4UpiLFQMQxiKgZPENyiRQscP34cmZmZePToEVQqFRo1asRX32OMgeM4owVKSEWoIpn5qZPb2IwCJGfLcDUmEw3cpDR+ixBCCCF1gsETBKu5uroiNDQUnTt3hqenJ4qKirBlyxaEhIQYIz5C9ELFGMxPndx2DHCFt7ME3YLcqeWQEEIIIXVGlVqsioqKcPDgQURFRcHV1RVDhw7ly5gXFBRg48aN+Pzzz5GcnIygoCCTBEyILlSRzPxKJ7cN3KQY1MqH3gdCCKlBAjunyjcihJiM3olVYmIi+vTpg6ioKL7MuZ2dHQ4ePAhbW1u89NJLSEhIQKdOnbBhwwaMHDnSZEETokttqkhmjYU4KLklhBDzEUqd4T/7R3OHQUidpnditWTJEjx+/BgLFixAz5498fjxY6xatQrTp09HWloaWrRogZ07d6J3796mjJeQWs+aC3HUpuSWEEKIdaECJ8Tc9E6sjh07hilTpmDNmjX8Mm9vb4wePRpDhgzBgQMHIBBUe8gWIXUeFeIghBBCCLE+emdCT58+RZcuXTSWqf9+5ZVXKKkixEioEAchhBBCiPXRu8VKqVRCIpFoLFP/7ezsbNyoCKnDaKwSIYQQQoj1qVJVwCdPnuDatWv839nZ2QCAhw8fwsXFRWv79u3bVy86QuooSx+rZI3FNQghhJCqoImESVVVKbFaunQpli5dqrV85syZGn+rJwdWKpXVi44QYnGsubgGIYTUVqpiOfJvH9NYZt/qWQhsxGaKiJC6R+/EauvWraaMgxBiJai4huWhFkRCCCuWIePYVxrLpE17ApRYEVJj9E6sJk2aZMo4CCFWgoprWBZqQSSEEPMyZpl36lZo3arUFZAQQqytuEZtb82hFkRCCCHEMlBiRUgNqU0X+JZeXEOtLrTmUAsiIYQQYhkosSKkBtSFC3xLVBdac6ytBZEQQgiprSixIqQG6HuBX5tatSxBXWnNsZYWREJ0Meb4FEIIMSdKrAipAfpc4FOrlvHVtdYcSswJIYQQ86HEipAaoM8Ffl3otmYOdaU1hxJzQgghxLwosSKkhlR2gV9Xuq0R06DEnFSXvl3yqBw0IaZDn0PrRokVIRairnVbI8ZFibnlksvlWLZsGXbs2IHMzEy0bt0aH3zwAZ599llzh2ZSNHaKEFLXUGJFiAWpK93WiPFRYm65Jk+ejIiICMydOxeNGzfGtm3bMHjwYJw6dQo9evSo0r5aLv8DArG0So8x9p1tSpgIsR7UAlazKLEihJBaghJzy3P58mXs3r0b69atw/z58wEAEydORMuWLbFgwQKcP3/ezBESQgglYMZCiRUhhFgoqvJn/SIiIiAUCjF9+nR+mUQiwdSpU7F48WLExcXB39/fpDFQCxMhtY+lf64tOT5TJoeUWBFSA+gCmVQVVfmrHa5fv44mTZrAyclJY3mnTp0AADdu3DB5YkUIIcZiyQmTvkzZOkeJlQ6MMQBATk6OmSMhtUF0Wh62n3uCjIIiuEltMal7QzTyoAtkUrH7salISstAiJcjIlMyEBnnAE+xytxhmZz6e1f9PWztkpKS4OPjo7VcvSwxMVHn4+RyOeRyOf93dnY2AEAlLzBBlKQ2UBVpnxuqogJwQhszREOI9Wvw1k/8/6u/eyv7baLESofc3FwAoLuIxCQ+N3cAxCr9YO4Aalhubi6cnZ3NHUa1FRYWQiwWay2XSCT8el3WrFmDlStXai1P2DzZqPGR2i3x62nmDoGQWqWy3yZKrHTw9fVFXFwcHB0dwXGczm1ycnLg7++PuLg4rS4elo5iNw+K3TwodvMwNHbGGHJzc+Hr62vC6GqOnZ2dRsuTmkwm49frsmjRIrz99tv83yqVChkZGXB3dy/3d8lSWfN5bM3ouJsHHXfzMPVx1/e3iRIrHQQCAerXr6/Xtk5OTlb7waHYzYNiNw+K3TwMib02tFSp+fj4ICEhQWt5UlISAJT7Iy0Wi7VaulxcXIweX02y5vPYmtFxNw867uZhyuOuz2+TwCTPTAghhBC0bdsWDx480Bqze+nSJX49IYSQ2oESK0IIIcRERo0aBaVSiS1btvDL5HI5tm7dis6dO9NYXkIIqUWoK6CBxGIxli9frnNQsqWj2M2DYjcPit08rDl2Y+rcuTNGjx6NRYsWISUlBcHBwdi+fTuePHmC7777ztzh1Qg6F8yDjrt50HE3D0s57hyrLTVtCSGEEAskk8mwdOlS7Ny5E5mZmWjdujXef/99DBw40NyhEUIIMSJKrAghhBBCCCGkmmiMFSGEEEIIIYRUEyVWhBBCCCGEEFJNlFgRQgghhBBCSDVRYkUIIaTKaHguIYSQmqBSqcwdgt4osSJmRxdopK7Jzs42dwgG27NnDwCA4zgzR0IsCX2P1wyZTKbxNx13Ups9fPgQSqUSAoH1pCvWE6kJXb9+HbGxsRoXO9byZVVQUGDuEAwWHR2NgoICrR8Ka3Dz5k08fPgQ8fHx/DJrOWcA4MCBA5g5cyaio6MBWNfdoF27dsHR0RHnzp0zdyhVtm/fPgwYMACfffYZnjx5Yu5wqmT37t0ICgrCiy++iL/++svc4RAzOnbsGN59911s3rwZ58+fB0CJtqnduXMHo0ePxrhx4/Daa6/h8uXLAOi4m9qePXvw2muv4aOPPtL43rOm33trtGPHDjRp0gQDBgxA8+bNsWrVKqu5IVmnE6t79+6hR48e6N+/P9q0aYNOnTrh559/hkKhAMdxFv3BiYyMRIcOHfDqq6+aO5Qqu3XrFoYMGYJhw4YhMDAQffr0wblz5yz6eKvdunULzz77LIYOHYoOHTqgTZs2+PLLL/lzxhocO3YMzz//PHbs2IFff/0VAKzibtD169fRuXNnvPLKKxgyZAicnJzMHZLeEhMTMWTIEEycOBG2traQSqWQSqXmDksv6uM+adIkODo6QiKRQC6XmzssYgbZ2dkYO3Yshg0bhsOHD2PevHkYOHAgvvzyS2RkZACgC05jUh/LHTt2oGvXrkhISEBxcTF27dqFZ599FuvXrzdzhLXX06dPERYWhqlTp+LKlSv46KOP8Mwzz2DFihXIysqy+GtEa/bNN9/g9ddfR79+/fDqq6+iffv2WLFiBWbOnImoqCgAFn4zmNVRT58+Ze3atWPdunVj33//Pfv+++9Zly5dmIuLC1u+fDljjDGVSmXeIHVQqVQsIiKCNWnShHEcxziOY6dPnzZ3WHpRKBTsyy+/ZJ6enqx3795s2bJlbObMmczf3581bdrUol9HUVER+/DDD5mLiwvr3bs327BhA9u1axfr06cPc3JyYvv27TN3iJVSn89///03c3d3Z3Z2dqxz587sxo0bjDHGlEqlOcMrV0FBAZsyZQrjOI717t2bHThwgD19+tTcYVXJ8uXLWbNmzVh4eDiLjY01dzh6yc7OZhMnTmQcx7E+ffqwAwcOsMOHDzOJRMLWr1/PGCv5TJO6Y+/evczV1ZVt2bKFxcbGsnv37rGJEycysVjM5s2bZ+7waq1evXqxsLAw9uTJE8YYY48fP2bjx49nHMexXbt2MblcbuYIa5/t27czNzc3Fh4ezhITE1l6ejqbPHkyc3R0ZDNnzjR3eLVWXl4e69atG3vmmWdYUlISv/yjjz5iTk5ObNy4cWaMTj91NrHavXs3E4lELCIigl8WHx/Pxo4dyziOY8ePHzdjdOWLiopiLVu2ZO7u7uyDDz5gzZs3Z126dGHFxcXmDq1Sv//+O2vUqBF75ZVX2P379/nl586dYxzHsYULF1rs6zh8+DBr3749mzt3Lnvw4AF/Qfnw4UPGcRz7+OOPLTIR1yUiIoINGDCAffXVV4zjOLZ48WL+9Vjaa1AoFOzDDz9kHMexadOmsdTU1HLPEUuLXS02NpbVq1ePzZ49W2t5aZYUf35+PmvcuDFr1KgR27x5M4uJiWGMMRYdHc1cXV3ZyJEjLTYRJ6bz3HPPsebNm2stHzFiBHNxcWG7d+9mjFHCbUzXrl1jDg4O7NNPP9VYHhMTw/r378+Cg4PZX3/9Zaboaq/evXuzLl26aCzLz89nkydPZhzHscOHDzPGLOt7uzbIyMhgHh4e7IMPPmCMaX6XvPbaa0wikbDvvvuOMWa5N4Mtv/+PicTExMDe3h7PP/88AKC4uBh+fn5YsGABQkNDMXfuXKSkpJg5Sm0ikQjPPfccTpw4gSVLluCNN97ApUuXsH37dnOHVqm7d+9CLBZj7dq1CAkJAQAUFRWhW7du6Ny5M65duwaRSGSRzevOzs4YP348Fi9ejMaNG0MoFAIo6ffu6emJgIAAi+8aoI7N398fly5dwowZM9C/f39s3boVp06dMnN0ugmFQgwcOBDdunXD2bNn4eHhAZFIhIMHD2Ly5MlYuHAhtm7diqKiIovtivnkyRPk5uZi1qxZAEq69bRo0QJhYWF4/vnnsWvXLgCWM1ZCpVJBKpVi+/btOHjwIKZOnYoGDRoAAAIDAxEcHIyMjAwUFxdb9PlOjEsul6OoqAguLi78sqKiIgDAkiVLEBgYiEWLFkGhUPDfj6T6vL29UVRUBHt7ewDgu+E2aNAA69evR0JCArZt24a0tDRzhllrqFQqyOVySCQSiEQifrlCoYBUKsWbb76J9u3bY/bs2WCMWcz3tjU6fPgw2rdvrzF2LScnBxzHISkpCXK5HEKhEEqlEgAwa9YstG3bFitWrIBMJrPcIQxmTetqgDqjLXtX4bPPPmOOjo7s1KlTjDGmccd+z549TCwWs9WrV+t8bE0pL3aZTMb/f2RkJBswYACrX78+S0tLq9H4KlI69tLxR0ZGaqxnrOTY9+nTh/Xo0YMVFhbWbKA6lHfcyzp79ixr2bIlc3JyYitWrGC3b99mmZmZGvswh8rij4iIYMHBwYwxxq5fv844jmOTJk1iGRkZFT6uJpQXu7p1bd68eWzAgAGM4zgWHBzMHB0dGcdxbOTIkezOnTsa+6hp5cV+9epVJhKJ2P79+9n333/PBAIBGzVqFJs0aRLz8vJiHMexrVu3miHi/+hzzqtUKqZUKtkbb7zBnJ2d+XOd7tjWLhkZGezBgwf890Fpo0ePZk2aNOG/x0v77LPPmEQiYR9++CFjzHLvJlubnJwc1qZNG9a3b19+WenP3DvvvMMcHR3ZiRMnzBGeVbt37x6bM2cOe/PNN9mSJUvYgwcP+HUjRoxgISEh7Pbt24wxzfN5y5YtjOM49tlnn2mtI/p5/PgxCwgIYBzHseeff15jXZ8+fVinTp1YfHy81uO++OIL5ujoyNauXcsYs8zfn1qbWKnHxHz77bcay9VvwrFjx5hYLGYrVqzgl6k/HMnJyWzMmDHM09PTLH2Xy4u9PHv27GF2dnZswYIFJo6sclWNXZ14tWvXjo0dO5ZfZg76xK4+RxYuXMg4jmN9+/ZlkyZNYlOnTmUuLi5m7f9bWfzq43r58mXm6OjIEhMTGWOMTZ06lYnFYvbjjz8yxkq6O9S0yj6vMTExbNSoUYzjONavXz/2+++/s5iYGJaQkMDef/99JhAI2OjRo2s8bsYqP+5Xr15lHh4ebMKECaxNmzZs6dKlLDc3lzHG2K1bt9jAgQOZu7s7u3fvXk2GzRir+ueVMcaWLl3KOI5jBw8eNGFkxBwWL17MQkJCmI+PD7O1tWXvvvuuRhJ1+PBhflyPmvqmZFxcHOvRowdr06YNS01NrfHYa7N33nmHeXt7s6NHjzLGNLtHPXr0iHl4eLD58+czxizzQtPSyOVyNn/+fGZnZ8c6duzIGjduzDiOY40aNWI//fQTY6zkBiTHcez777/nf/fVx/3Jkyesf//+LDAwkMa3GSg7O5u5uLiwFi1asPr167MffviBX7djxw4mFAo1huqoj31sbCxr06YN69OnD39zz9LUysTqzJkzrEWLFozjODZgwAB29+5dxpj2F0779u1Zu3bt+DsSpdeHh4czkUjENm/erPOx5o699LKUlBT2yiuvMIlEwt+1N8eXa1ViLy0uLo7Z29uzNWvWMMbM0z9f39jVf+/fv5/t2bOHpaWl8csWLVrEBAIBW7duHWOsZu9iVeXY7927lzVp0oQvAJGTk8OkUinr27cvmzJlCnv55Zf5pMuSYg8PD2eTJ09m586d01o3fvx45uzszF/sW9rntXv37kwgEDAPDw92/vx5jXVHjx5lbm5ubM6cOYyxmjtvqvp5Vcd19uxZxnEc27t3b4XbE+tx69Yt1rt3b1a/fn22ePFitnr1avbKK68wjuPY1KlT+XGNcXFxLDQ0lHXv3l3jokZ9DqxYsYI5OjryCQAxjqdPnzI3Nzf20ksv8b+P6s9jbm4uGz9+PPP39zdniFYjNzeXLV68mDVq1Ih99NFHLDIykimVSnbixAnm6+vLevbsyQoKCphCoWBt2rRhPXv25IuGlLZy5Urm4uLCj7Ui+lOpVCwuLo716dOHffjhhywkJISFhoayvLw8xljJ2PXQ0FDWuXNnjZs06nN+1qxZzMfHh0VHR5sl/srUusTqwoULrGnTpqxhw4Zs9OjRjOM49tFHH2kMeFd/MR04cIBxHMc++OADvguael1kZCSrX78+mz59eo1d6OgTe3lOnDjB/Pz8tJpUa0p1Yj9z5gzjOI798ccfNRCptqrEXtFF5MOHD1lwcDBr06aNRndNU9M3fnXsZ8+eZVKplMXFxfHrXnzxRSYUCpmNjQ1bvnw5/wVnCbGr487OzmYpKSkaj1dvd/HiRcZxnEYLtCXErv4++f333/kqnuqWKfWdzpSUFBYWFsb8/f1r7Lypzuf1zp07zNXVlb355puMMUqsrF1mZiabPHkyCw4OZvv27dNosR4+fDjz9PRkZ8+eZYyVfN6++eYbJhAI2P/+9z/+/C4qKmKMlfxuchzHV0mlLlLGs2rVKubp6ckP3C99A3LhwoXMy8uLRUVFmSs8q/H48WMWGBjIZsyYwbKysjTWzZgxg3l6erKrV68yxkpaTjiOY59++in/uVB/b1+/fp0JBAK2f/9+xhh9D1ZVSkoKk0gk7N69e2zt2rXMwcGBL1ghk8nY9u3bmVAoZGvWrOGPvfr38aeffmI2NjY6uyRbglqXWN29e5eJxWK+Obdnz56scePG7Ny5czq3Hzx4MPP19WWHDh1ijGl+WbVo0YJNnDiRMVYzH5qqxl46rry8PL6Ljrqv9Z9//skOHDigsZ0lxa62adMmJhKJ+O5RCoWCRUVF8V9ulhw7Y5oXD127dmVdunSp0cSqbPy9evWqMP7du3ezkJAQlpWVxU6dOsV69OjBhEIhc3JyYsHBwfxFlKWe86VjUx/71NRU5uLiUqPdYasau7o88owZMxhjTCOJGTVqFGvevDnLzs42feCseud8SkoKCwgIYP3792c5OTmmDpWYWEZGBgsNDeUv2Bn7L1E6deqUxm8KYyXVc0eOHMl8fX3ZqVOnNL4nLly4wMRiMfvqq69q7gXUETKZjLVs2ZIFBwdr3amfOXMm8/LystiuUZZEpVKxLVu2aCxTn+979+5lIpGIv/mVlZXFRo4cyby9vdkvv/yi8ZjLly8zjuPY9u3baybwWkSpVLKEhAQWEhLCzpw5w5KTk1mXLl1YYGAgnywlJyezqVOnMgcHB7Zjxw7+sSqVir366qvM29ubxcXFWWRCW6sSK3VSVPqutro1ZPbs2fxFS+kL4ZiYGObg4MC6dOnCrl27xi+/ePEic3JyYitXrrSo2HWdROrXc//+fda+fXvWqlUrtnLlSubv78/c3d1NPudPdWJnjLFhw4axbt26McZKuprs3LmTtWvXjrVv356lp6dbbOxl78b+8ccfzMbGhs2dO9eEEWuqSvzq13DixAlma2vLhg4dyoRCIevevTs7c+YM27t3L3/hXxP9xo157Ddt2sQ4jmPffPONCSP+jyHfNXFxcczJyUmrdfaff/5hQUFBbMKECTXyI2GM4z5y5EjWokULlpeXZ5E/bEQ/6vfz3r17OguYHD16lIlEIrZnzx6Nx92+fZv5+fmxDh068Ofy06dP2YIFC5ivr6/OrlOk+i5cuMD8/PxYq1at2NmzZ1lsbCz77bffWGBgIHvrrbfos6gn9U2tssMO1q1bx4RCocZ0MHFxcaxevXqsRYsW7Pfff2eMMZaQkMBmzZrFAgICWHJycs0FXotkZGQwqVTK38z7+uuvmZubG5s6dSpjjLG0tDSWnJzMOnfuzJydndl7773Hjh49yr799lvWsGFDi55LzGoTq927d7MZM2awtWvXsjNnzvDLS3+xqH8oJk2axFxcXLTuOKg/VNu2bWMNGjRggYGB7Msvv2TffvstGzZsGPP392e3bt2yyNh1iYmJ4edY4DiODR8+XKO7l6XFrlKpWG5uLvPx8WHjxo1jx48fZ8899xzjOI6FhYXprAhjKbGXlpiYyA4dOsR69+7Nmjdvzo/ZMzZjxX/u3DnWunVr1qxZM7Zx40YWFxfHfxa6d+/Opk2bZvTEylTHPjk5me3fv5+1bt2a9e7d2ySVMY35XbN7927m4+PD3Nzc2LRp09jq1avZoEGDmKurq0m6wpriuKtUKvbBBx8wjuP4u4t0QVe7qN/PgwcPMo7j+AvN0u/z6dOnWaNGjRjHcax79+6sf//+TCwWs3feeYfJ5XI6J0zk5MmTrFGjRszGxoYFBQUxJycn1r59e7MUv6kt1N+Bc+bMYd7e3nwLlvp7+48//mDt27dnHMextm3bsq5duzIbGxu2cuVKplAo6Fw3QHR0NGvSpAn/eyOXy9nzzz/PPDw82NixY1n79u3Z33//zaKjo9mMGTMYx3HMxcWFSSQS9uKLL9ZY7w5DWF1ilZyczAYOHMjs7e1Z+/btmaurKxOLxWz58uV8M3jZyU7j4+OZg4MDGzlyJJ9oKJVKrR+J7t27M2dnZ+bu7s5at25t9En3jBl7WWfPnmVhYWFMIBCwdu3a6d2NzdyxP3r0iEmlUta+fXvm4ODAQkJCjF421lSxnz59mk2bNo2NGjWKOTo6sjZt2rArV64YNXZjxq++S1dUVMTOnDnDbt++zSdQ6scZu9y9KY/9a6+9xl588UXm4ODA2rdvz27cuGGxsZf+rjl37hwbOHAgc3FxYV5eXqxdu3YaSY+lxa7LZ599xjiO06jaRGqfd999l7m6urLMzEyd4x4fPXrEVqxYwcaOHcvCwsLYr7/+aq5Q65RHjx6x8PBwtmzZMo1uUqR6OnTowF544QXGmHZrVmpqKlu7di2bNm0aGzt2rFYRIlI16enpTCwWa1xnv/POO8zW1pYJhUK2ZMkSjd5W9+7dY6dOneILtFkyq0ustm/fztzc3Fh4eDhLTExk6enpbPLkyczR0VFn06D6B+DDDz9kAoGAbdmyReMip/T/FxYWsqdPn5rk4tgUsZd2/PhxZmtryzZu3GhVsZ88eZJxHMe8vLysLvZDhw6x4OBg1qdPH/b999+bJHZTxV9Td9hMdewjIiKYg4MD69y5s8m6/5nyu0Yul7PMzEx28+ZNq4hdTZ1oJSUlsW3btpkkdmJ+6vd54MCBrGvXrnpvT4i1SklJYXZ2dnxVX8ZKzmtd87mR6ouKimJNmjRhR48eZefPn2c9e/ZkQqGQNW7cmDk5OfHjNM1RJbq6rC6x6t27N+vSpYvGsvz8fDZp0iTGcRxf+rLsF31RURELCgpinTt35ieBi4qK0hhnYOofB1PGzphpT0Bjx176TsTXX3/NN71bW+xRUVFWdd48evRI67wxJVMe+5s3b1rVOV9bvmuo20vtUdF5qFAomIuLC1u6dCm/Z4cn3QAAGONJREFULD09nZ08eZIVFBQwxuhcILWH+ibv6dOnGWMlN4927NjBQkNDa/Q3s66Ij49nYrGYtW3blolEIta1a1d29OhRdu7cOdaiRQvm5+dntUmt1SRWSqWSyWQyNnDgQNa9e3d+ubp7wt9//806dOjAGjVqpPVlX7a8+sKFC9nWrVtZ+/bt2ezZs00+ISrFrjt2U1cUM2XsNVGO3JTxqy+MrDF2Ux97+ryaJ3ZSc1QqlUZStX//fnb58mWNba5du8ZXBCwsLGTnz5/n57ZSz+9IiLVTfw9+9NFHzMXFhT148ICdOnWKPf/888zGxoZ17NhRY75KYhwKhYK9/PLLLDg4mG3YsIHFxsbyv0FLly5lEydOZNnZ2VZ53C0ysbp37x6bM2cOe/PNN9mSJUv4O6eMMTZixAgWEhLCFwgo/eOwZcsWxnEc++yzzxhj2i04xcXFLDQ0lAmFQsZxHPPx8eGrvFDsFLu5Yrf2+Cl2ip1Yj9Lv9507d1j//v0Zx3Fs9erVGhcxX3zxBRMKhSwiIoJ98MEHzN3dnXl7e7Mff/zRHGETYlIjR45kQUFBbNq0aczR0ZE1btyYJro2sfj4eHbnzh2t6Wn0mU/RkllUYiWXy9n8+fOZnZ0d69ixI2vcuDHjOI41atSIn28lIiKCcRzHvv/+e/5iQf1D8eTJE9a/f38WGBioNSj/2rVrbMmSJczBwYE5Ojqyzz//nGKn2M0au7XHT7FT7MR6lE6ocnNz2fTp0xnHcaxTp078WDzG/kvCX3/9dWZvb88aNWrERCIRW7JkiVniJsTUCgsLWdu2bRnHcczJyYm/6USIISwmscrNzWWLFy9mjRo1Yh999BGLjIxkSqWSHT9+nPn6+rKePXuygoICplAoWJs2bVivXr10zpWxYsUK5uLiwo8hYKzkomHWrFmM4zg2adIkfiJaip1iN1fs1h4/xU6xE+tQeg47xkoqOjo6OjI/Pz/28ccfs4cPH+oca9W9e3fGcRybMGECjTEhtd6CBQvYwoULtVpPCKkqi0msHj9+zAIDA9mMGTNYVlaWxroZM2YwT09PdvXqVcYYYzt27GAcx7FPP/2U7/evvvN6/fp1JhAI2P79+xlj/zUpXr58md29e5dip9gtInZrj59ip9iJdfn9999Z06ZNmUQiYTNnzmSXL1/WOb2CumXr0qVL/LlESG1HlS2JsVhMYqVSqdiWLVs0lqkrxe3du5eJRCJ+ArysrCw2cuRI5u3trTWZ5eXLlxnHcWz79u01Ezij2Bmj2A1hzfFT7BQ7sQ5KpZK99957jOM4NmzYMPbbb7/xc5kRQggxLotJrBj7765p2cHU69atY0KhkJ/9nTHG4uLiWL169ViLFi34gdUJCQls1qxZLCAggCUnJ9dc4Ixip9gNY83xU+wUO7EOp06dYtu3b2fx8fHmDoUQQmo1i0qsylI3zc6ZM4d5e3vzd2bVFxR//PEHa9++PeM4jrVt25Z17dqV2djYsJUrVzKFQmHWMo0UO8VuCGuOn2Kn2IllKjvOit5zQggxDY4xxmDhOnbsiIYNGyIiIgJKpRJCoZBfl5aWhu+++w5RUVHIycnBnDlz0LVrVzNGq4liNw9rjh2w7vgpdvOw5tgJIYSQWsHcmV1lUlJSmJ2dHVu3bh2/TKlUWsWMzBS7eVhz7IxZd/wUu3lYc+yEEEJIbSEwd2JXmTt37kAmkyE0NBQAkJycjB9//BEDBw5EamqqmaOrGMVuHtYcO2Dd8VPs5mHNsRNCCCG1hcUmVuzfHopXrlyBs7MzfH19cfr0acycOROvvPIKGGMQCAT8dpaEYjcPa44dsO74KXbzsObYCSGEkNpGZO4AysNxHADg0qVLcHd3x7p167B79254e3vj8OHDePbZZ80cYfkodvOw5tgB646fYjcPa46dEEIIqXVqrtdh1RUWFrK2bdsyjuOYk5MT++yzz8wdkt4odvOw5tgZs+74KXbzsObYCSGEkNrE4qsCLly4EBzHYeXKlRCLxeYOp0oodvOw5tgB646fYjcPa46dEEIIqS0sPrFSqVQQCCx2KFiFKHbzsObYAeuOn2I3D2uOnRBCCKktLD6xIoQQQgghhBBLR7c4CSGEEEIIIaSaKLEihBBCCCGEkGqixIoQQgghhBBCqokSK0IIIYQQK7Nt2zZwHIcnT54Y9PjJkyejYcOGRo2pJlX39evy5MkTcByHbdu2GW2fVTV48GBMmzbNaPsbN24cxowZY7T9kYpRYkUIIYSQOmPTpk3gOA6dO3c2dyjETH788Ud8/vnn5g5Dy7lz53D06FEsXLiQX5aVlYXx48fD1dUVjRo1wnfffaf1uKtXr0IqleLx48da6xYuXIiff/4ZN2/eNGnspAQlVoQQQgipM8LDw9GwYUNcvnwZjx49Mnc4xAzKS6wCAgJQWFiIl19+ueaDArBu3Tr0798fwcHB/LL58+fj9OnTWLlyJYYOHYpp06bh/Pnz/HrGGGbPno25c+ciMDBQa5/t2rVDx44d8cknn9TIa6jrKLEihBBCSJ3w+PFjnD9/Hp9++ik8PT0RHh5u7pDqnPz8fHOHUC6O4yCRSCAUCmv8uVNSUnD48GGtbnu//vor1qxZg9mzZ+PLL79Er169cOjQIX59eHg4YmJisHjx4nL3PWbMGOzbtw95eXkmi5+UoMSKEEIIIXVCeHg4XF1dMWTIEIwaNUpnYqUeZ7N+/Xps2bIFQUFBEIvFCA0NxZUrVzS2nTx5MhwcHJCQkIARI0bAwcEBnp6emD9/PpRKJb/d6dOnwXEcTp8+rfO5So/puXXrFiZPnoxGjRpBIpHA29sbr7zyCtLT0w1+3b/88gtatmwJiUSCli1bYv/+/Tq3U6lU+Pzzz9GiRQtIJBLUq1cPM2bMQGZmptZ2K1asgK+vL6RSKfr27Yu7d++iYcOGmDx5Mr+dehzUn3/+iZkzZ8LLywv169cHAMTExGDmzJkICQmBnZ0d3N3dMXr0aJ1jpv755x/069cPdnZ2qF+/Pj744AOoVCqt7Q4cOIAhQ4bA19cXYrEYQUFBeP/99zXeiz59+uDw4cOIiYkBx3HgOI4fa1beGKuTJ0+iZ8+esLe3h4uLC4YPH4579+5pbLNixQpwHIdHjx5h8uTJcHFxgbOzM6ZMmYKCgoLy3hre4cOHoVAo8Mwzz2gsLywshKurK/+3m5sbv7/8/Hy8++67WLNmDRwcHMrd97PPPov8/HwcO3as0jhI9YjMHQAh5D/btm3DlClT+L/FYjHc3NzQqlUrDBkyBFOmTIGjo2OV93v+/HkcPXoUc+fOhYuLixEjJoQQ6xEeHo6RI0fC1tYWL774IjZv3owrV64gNDRUa9sff/wRubm5mDFjBjiOw8cff4yRI0ciOjoaNjY2/HZKpRIDBw5E586dsX79ehw/fhyffPIJgoKC8Prrr1c5xmPHjiE6OhpTpkyBt7c3/vnnH2zZsgX//PMPLl68CI7jqrS/o0eP4oUXXkDz5s2xZs0apKenY8qUKXyCU9qMGTP436HZs2fj8ePH2LhxI65fv45z587xr3vRokX4+OOPMWzYMAwcOBA3b97EwIEDIZPJdMYwc+ZMeHp6YtmyZXyL1ZUrV3D+/HmMGzcO9evXx5MnT7B582b06dMHd+/ehVQqBQAkJyejb9++UCgUePfdd2Fvb48tW7bAzs5O63m2bdsGBwcHvP3223BwcMDJkyexbNky5OTkYN26dQCAJUuWIDs7G/Hx8fjss88AoMKk5Pjx4xg0aBAaNWqEFStWoLCwEBs2bED37t1x7do1rQIgY8aMQWBgINasWYNr167h22+/hZeXFz766KMK36fz58/D3d0dAQEBGstDQ0Px6aefomnTpoiOjsbvv/+Ob775BgCwevVq+Pn5Vdp1sXnz5rCzs8O5c+fw/PPPV7gtqSZGCLEYW7duZQDYqlWr2I4dO9j333/PVq9ezQYMGMA4jmMBAQHs5s2bVd7vunXrGAD2+PFj4wdNCCFW4OrVqwwAO3bsGGOMMZVKxerXr8/mzJmjsd3jx48ZAObu7s4yMjL45QcOHGAA2KFDh/hlkyZN4r+zS2vXrh3r0KED//epU6cYAHbq1Cmdz7V161Z+WUFBgVbsu3btYgDYmTNn+GXq34vKvtfbtm3LfHx8WFZWFr/s6NGjDAALCAjgl509e5YBYOHh4RqP//333zWWJycnM5FIxEaMGKGx3YoVKxgANmnSJK0Ye/TowRQKhcb2ul7nhQsXGAD2ww8/8Mvmzp3LALBLly7xy1JSUpizs7PW69e1zxkzZjCpVMpkMhm/bMiQIRqvXU3X+9G2bVvm5eXF0tPT+WU3b95kAoGATZw4kV+2fPlyBoC98sorGvt8/vnnmbu7u9ZzldWjRw+Nc0bt1q1brH79+gwAA8BeeOEFplQqWXR0NLOzs2MXLlyodN+MMdakSRM2aNAgvbYlhqOugIRYoEGDBmHChAmYMmUKFi1ahD/++APHjx9HSkoKnnvuORQWFpo7REIIsSrh4eGoV68e+vbtC6BkPM3YsWOxe/duja5iamPHjtXogtWzZ08AQHR0tNa2r732msbfPXv21LmdPkq3xMhkMqSlpaFLly4AgGvXrlVpX0lJSbhx4wYmTZoEZ2dnfvmzzz6L5s2ba2z7008/wdnZGc8++yzS0tL4fx06dICDgwNOnToFADhx4gQUCgVmzpyp8fg333yz3DimTZumNW6p9OssLi5Geno6goOD4eLiovE6jxw5gi5duqBTp078Mk9PT4wfP17reUrvMzc3F2lpaejZsycKCgpw//79cuMrj/r4TZ48GW5ubvzy1q1b49lnn8WRI0e0HqPrXEhPT0dOTk6Fz5Wenq5xvqm1atUKDx8+xJUrV/Dw4UNERERAIBBg3rx5eOGFF9ClSxfs27cPbdq0QWBgIFatWgXGmNZ+XF1dkZaWpu9LJwaixIoQK9GvXz8sXboUMTEx2LlzJwD9+uKvWLEC77zzDgAgMDCQ71Neuh/7zp070aFDB9jZ2cHNzQ3jxo1DXFxcjb4+QggxFaVSid27d6Nv3754/PgxHj16hEePHqFz5854+vQpTpw4ofWYBg0aaPytvugtO95IIpHA09NTa9uy2+krIyMDc+bMQb169WBnZwdPT0++2lt2dnaV9hUTEwMAaNy4sda6kJAQjb8fPnyI7OxseHl5wdPTU+NfXl4eUlJSNPZZunIdUDL2R1diAEBntbrCwkIsW7YM/v7+EIvF8PDwgKenJ7KysjReZ0xMjF7xAyVjsZ5//nk4OzvDyckJnp6emDBhAoCqHzv1c5f3XM2aNUNaWppWMQ59zxtddCVEQMk51rFjR/6Ynzx5EkePHsXatWsRGRmJcePGYe7cufj++++xadMmnfNwMcaq3I2UVB2NsSLEirz88stYvHgxjh49imnTpunVF3/kyJF48OABdu3ahc8++wweHh4AwF8IfPjhh1i6dCnGjBmDV199FampqdiwYQN69eqF69ev05gsQojVO3nyJJKSkrB7927s3r1ba314eDgGDBigsay8ynBlL371qSBX3gWtrpayMWPG4Pz583jnnXfQtm1bODg4QKVSISwsTGfBBmNRqVTw8vIqt1Ji2eSxKnSNh3rzzTexdetWzJ07F127doWzszM4jsO4ceMMep1ZWVno3bs3nJycsGrVKgQFBUEikeDatWtYuHChSY9dafqeN2W5u7vrlXwplUrMmTMH7777Lvz8/PD++++jW7du/PjsGTNmIDw8XGO8NlCS2OlKUIlxUWJFiBWpX78+nJ2dERUVBaBkQPC8efM0tunSpQtefPFF/PXXX+jZsydat26N9u3bY9euXRgxYoTGQNuYmBgsX74cH3zwgUap1pEjR6Jdu3bYtGlThSVcCSHEGoSHh8PLywv/+9//tNbt27cP+/fvx1dffaUzATAGdatFVlaWxnJ1i4haZmYmTpw4gZUrV2LZsmX88ocPHxr0vOpCCLoeHxkZqfF3UFAQjh8/ju7du1d4HNT7fPTokUZLVHp6epVa6SIiIjBp0iSN+ZVkMpnWMQoICNAr/tOnTyM9PR379u1Dr169+OW6Js3Vt+VG/VrLPhcA3L9/Hx4eHrC3t9drX5Vp2rQpfv7550q327x5M3JzczF//nwAQGJiInx9ffn1vr6+SEhI0HiMQqFAXFwcnnvuOaPESspHXQEJsTIODg7Izc0FUP2++Pv27YNKpcKYMWM0+tR7e3ujcePGfJ96QgixVoWFhdi3bx+GDh2KUaNGaf2bNWsWcnNzcfDgQZPFEBAQAKFQiDNnzmgs37Rpk8bf6taOsq0buiaz1YePjw/atm2L7du3a3SFO3bsGO7evaux7ZgxY6BUKvH+++9r7UehUPAJT//+/SESibB582aNbTZu3Fil2IRCodbr3LBhg1Yr3uDBg3Hx4kVcvnyZX5aamqrVsqbr2BUVFWkdYwCwt7fXq2tg6eNXOuG7c+cOjh49isGDB1e6D3117doVmZmZFY7Ny8jIwPLly7Fu3TpIJBIAQL169TTGj927dw/e3t4aj7t79y5kMhm6detmtHiJbtRiRYiVycvLg5eXF4CSL9mVK1di9+7dfP93NX1+NB4+fAjGWLndA0qXFCaEEGt08OBB5Obmlnu3vkuXLvxkwWPHjjVJDM7Ozhg9ejQ2bNgAjuMQFBSEX3/9Vet728nJCb169cLHH3+M4uJi+Pn54ejRozpbXfS1Zs0aDBkyBD169MArr7yCjIwMbNiwAS1atNCYMLZ3796YMWMG1qxZgxs3bmDAgAGwsbHBw4cP8dNPP+GLL77AqFGjUK9ePcyZMweffPIJnnvuOYSFheHmzZv47bff4OHhoXdr0NChQ7Fjxw44OzujefPmuHDhAo4fPw53d3eN7RYsWIAdO3YgLCwMc+bM4cutBwQE4NatW/x23bp1g6urKyZNmoT/t3c/IU3/cRzHX9NZQ41ID2IQMwRPLYThQTQM0lWKEFoS6EUEMUEPevFf6XSETlEjgonCgpiiHiIRJjkUxIt0MPBiXvTQxUtSXgLFbycHy/lL+66f+fs9H8fvPt8Pn+/pu9f2/nzejY2NslgsevPmTdQSPKfTqcnJSTU1NSknJ0fJyckqLS2Nus7+/n7dv39fubm5qqmpCR+3fvnyZXV1dZ3oWU+ipKREVqtVoVBItbW1Ucc8ffpUDodDjx49Cl8rLy9Xd3e3njx5IrvdrpGREQ0ODkbcNz8/r8TERBUVFcVsvYiOYAWcI58/f9bXr1/DG1jN1uIfHBzIYrEoGAxGrQv/p94eAHAeBAIB2Wy2Y79UxsXFqaSkRIFAwFQT3l95+fKl9vb25PP5dPHiRVVUVKi/v183btyIGDc+Pq6Ghga9evVKhmHI5XIpGAxGlHudxr179zQ9Pa2Ojg61trYqMzNTfr9f7969O9Kw2Ofzyel0amRkRG1tbbJarcrIyFBVVZXy8vLC4/r6+pSYmKjR0VGFQiHl5ubq/fv3ys/PD/+T8isvXrxQfHy8AoGAvn//rry8PIVCId29ezdiXHp6uhYXF9XQ0KDe3l6lpqaqrq5OV69eVU1NTXhcamqqZmdn1dzcrI6ODl25ckVVVVW6c+fOkTnr6+v18eNH+f1+DQ0NyW63HxusCgsLNTc3p87OTj179kwJCQkqKChQX19f1EM5fldaWpqKi4s1NTUVNVitra1pbGxMKysrEdcdDof8fr+6urq0u7ur+vr6I/dPT0+rrKzst/pg4pTO6Jh3AFEc9vz48OFD1M+fP39uSDLGxsaML1++GJIMt9sdMWZjY8OQZHR2doavDQwMRO134vV6DUnGp0+fYv0oAID/kZ2dHUOS4fF4znop59bS0pIRFxdnbGxsxGzO1dVVw2KxGKurqzGbE8djjxVwTiwsLKinp0fXr19XZWXlqWrxDzfX/rwpuKysTPHx8XK73UfmMQzjj/56CwA4n6L1Ujx899y+ffvfXcx/yK1bt+RyueT1emM2Z29vrx4+fKjs7OyYzYnjUQoI/IWCwaDW19e1v7+v7e1tLSwsaH5+Xna7XTMzM7LZbLLZbCeuxXc6nZKk9vZ2PX78WAkJCSotLVVmZqY8Ho9aW1u1tbWlBw8e6NKlS9rc3NTbt29VW1sbPnkIAABJmpyc1OvXr1VcXKzk5GQtLy9rYmJCLpcromQQpxcMBmM6X7T2AvhzCFbAX+jwmN0LFy4oJSVFDodDw8PDqq6ujqiRPmktfk5Ojnp6euTz+TQ3N6eDgwNtbm4qKSlJLS0tysrK0tDQkNxutyTp2rVrcrlcHM0KADji5s2bslqt8nq9+vbtW/hAC4/Hc9ZLA86Uxfi5/gcAAAAAcCrssQIAAAAAkwhWAAAAAGASwQoAAAAATCJYAQAAAIBJBCsAAAAAMIlgBQAAAAAmEawAAAAAwCSCFQAAAACYRLACAAAAAJMIVgAAAABgEsEKAAAAAEwiWAEAAACASQQrAAAAADDpB6uKoeA8cHKiAAAAAElFTkSuQmCC",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93150,11 +93296,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning:\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/soiling.py:27: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n",
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/soiling.py:379: UserWarning:\n",
       "\n",
       "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
       "\n"
@@ -93216,7 +93362,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/plotting.py:172: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93224,7 +93370,7 @@
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93247,7 +93393,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/plotting.py:232: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93255,7 +93401,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93415,7 +93561,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n",
+      "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/plotting.py:272: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93423,7 +93569,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93878,12 +94024,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The P95 exceedance level with the clear sky analysis is -0.90%/yr\n"
+      "The P95 exceedance level with the clear sky analysis is -0.92%/yr\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93925,8 +94071,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.509\n",
-      "[-0.75  -0.301]\n"
+      "-0.503\n",
+      "[-0.771 -0.266]\n"
      ]
     }
    ],
@@ -93942,7 +94088,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93975,7 +94121,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/nbval_sanitization_rules.cfg b/docs/nbval_sanitization_rules.cfg
index 84d32fdd..7a8b786a 100644
--- a/docs/nbval_sanitization_rules.cfg
+++ b/docs/nbval_sanitization_rules.cfg
@@ -11,3 +11,11 @@
 [regex1]
 regex: .*: UserWarning:
 replace: NBVAL-FILEPATH: UserWarning:
+
+[regex2]
+regex: \d{1,2}/\d{1,2}/\d{2,4}
+replace: DATE-STAMP
+
+[regex3]
+regex: \d{2}:\d{2}:\d{2}
+replace: TIME-STAMP
diff --git a/docs/notebook_requirements.txt b/docs/notebook_requirements.txt
index 1642b578..72dec969 100644
--- a/docs/notebook_requirements.txt
+++ b/docs/notebook_requirements.txt
@@ -1,55 +1,55 @@
-appnope==0.1.0
-argon2-cffi==21.2.0
+appnope==0.1.4
+argon2-cffi==23.1.0
 argon2-cffi-bindings==21.2.0
-backcall==0.1.0
-beautifulsoup4==4.11.1
-bleach==3.3.0
-cffi==1.15.0
-colorama==0.4.4
-decorator==4.3.0
+backcall==0.2.0
+beautifulsoup4==4.12.3
+bleach==6.1.0
+cffi==1.17.0
+colorama==0.4.6
+decorator==5.1.1
 defusedxml==0.7.1
-entrypoints==0.2.3
-html5lib==1.0.1
-ipykernel==6.29.4
-ipython==8.23.0
+entrypoints==0.4
+html5lib==1.1
+ipykernel==6.29.5
+ipython==8.26.0
 ipython-genutils==0.2.0
-ipywidgets==7.3.0
-jedi==0.16.0
-Jinja2==3.1.3
-jsonschema==4.18.0
+ipywidgets==8.1.3
+jedi==0.19.1
+Jinja2==3.1.4
+jsonschema==4.23.0
 jupyter==1.0.0
-jupyter-client==8.6.1
+jupyter-client==8.6.2
 jupyter-console==6.6.3
 jupyter-core==5.7.2
 jupyterlab-pygments==0.3.0
-lxml==4.9.1
-MarkupSafe==2.0.0
-mistune==2.0.3
-nbclient==0.6.3
-nbconvert==7.0.0
-nbformat==5.3.0
-nest-asyncio==1.5.5
-notebook==6.4.12
-numexpr==2.10.0
+lxml==5.3.0
+MarkupSafe==2.1.5
+mistune==3.0.2
+nbclient==0.10.0
+nbconvert==7.16.4
+nbformat==5.10.4
+nest-asyncio==1.6.0
+notebook==7.2.1
+numexpr==2.10.1
 pandocfilters==1.5.1
-parso==0.5.2
-pexpect==4.6.0
+parso==0.8.4
+pexpect==4.9.0
 pickleshare==0.7.5
-prometheus-client==0.9
-prompt-toolkit==3.0.43
-ptyprocess==0.6.0
-pycparser==2.20
-Pygments==2.15.0
-pyzmq==26.0.2
-qtconsole==4.3.1
-Send2Trash==1.8.2
+prometheus-client==0.20.0
+prompt-toolkit==3.0.47
+ptyprocess==0.7.0
+pycparser==2.22
+Pygments==2.18.0
+pyzmq==26.1.1
+qtconsole==5.5.2
+Send2Trash==1.8.3
 simplegeneric==0.8.1
-soupsieve==2.3.2.post1
-terminado==0.8.3
-testpath==0.3.1
-tinycss2==1.1.1
-tornado==6.3.3
+soupsieve==2.6
+terminado==0.18.1
+testpath==0.6.0
+tinycss2==1.3.0
+tornado==6.4.1
 traitlets==5.14.3
-wcwidth==0.1.7
+wcwidth==0.2.13
 webencodings==0.5.1
-widgetsnbextension==3.3.0
+widgetsnbextension==4.0.11
diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst
index 7a9556c9..8abb4a8a 100644
--- a/docs/sphinx/source/api.rst
+++ b/docs/sphinx/source/api.rst
@@ -133,7 +133,6 @@ Normalization
    normalize_with_expected_power
    normalize_with_pvwatts
    pvwatts_dc_power
-   sapm_dc_power
    delta_index
    check_series_frequency
 
diff --git a/docs/sphinx/source/changelog/pending.rst b/docs/sphinx/source/changelog/pending.rst
index f6f4e25b..3779a79f 100644
--- a/docs/sphinx/source/changelog/pending.rst
+++ b/docs/sphinx/source/changelog/pending.rst
@@ -11,8 +11,9 @@ when compared with older versions of RdTools
 
 * Change default clipping filter `model` to `logic` (:pull:`425`)
 
-* Turn on the `two_way_window_filter` by default in `TrendAnalysis`
-(:pull:`425`)
+* Turn on the `two_way_window_filter` by default in `TrendAnalysis` (:pull:`425`)
+
+* Upgrade pvlib 0.9.0 to 0.11.0 (:pull:`428`)
 
 Enhancements
 ------------
@@ -24,20 +25,156 @@ Bug fixes
 ---------
 * Fix typos in citation section of the readme file (:issue:`414`, :pull:`421`)
 * Fix deploy workflow to pypi (:issue:`416`, :pull:`427`)
+* Deploy workflow was replaced with trusted publisher workflow for pypi (:pull:`427`)
+* Fix pandas 2.0.0 deprications and update syntax changes (:pull:`428`)
+* Fix numpy 2.0.0 deprications and update syntax changes (:pull:`428`)
+
+Tests
+-----
+* Testing matrix was updated to include python = [3.9, 3.10, 3.11, 3.12] (:pull:`428`)
+* nbval sanitization rules were added for date and time stamp (:pull:`428`)
+
+Documentation
+-------------
+* External link syntax updated to avoid warnings with new versions (:pull:`428`)
+
+
 
 Requirements
 ------------
-* Specified versions in ``requirements.txt`` and ``docs/notebook_requirements.txt`` have been updated (:pull:`412`)
-* Increase maximum version of pvlib to <0.12 (:pull:`423`)
-* Update fonttools version to 4.43.0 in ``requirements.txt`` (:pull:`404`)
-* Update jinja2 from 3.0.0 to 3.1.3 in ``notebook_requirements.txt`` (:pull:`405`)
-* Update pillow version to 10.3.0 in ``requirements.txt`` (:pull:`410`)
-* Update certifi version to 2024.7.4 in ``requirements.txt`` (:pull:`424`)
+* Specified versions in ``requirements.txt``, ``requirements_min.txt`` and ``docs/notebook_requirements.txt``
+have been updated (:pull:`412`, :pull:`428`)
+
+    * Updated certifi==2024.7.4 in ``requirements.txt`` (:pull:`428`)
+    * Updated chardet==5.2.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated cycler==0.12.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated fonttools==4.53.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated h5py==3.11.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated idna==3.7 in ``requirements.txt`` (:pull:`428`)
+    * Updated joblib==1.4.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated kiwisolver==1.4.5 in ``requirements.txt`` (:pull:`428`)
+    * Updated matplotlib==3.9.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated numpy==2.1.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated packaging==24.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated pandas==2.2.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated patsy==0.5.6 in ``requirements.txt`` (:pull:`428`)
+    * Updated Pillow==10.4.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated plotly==5.23.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated pvlib==0.11.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated pyparsing==3.1.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated python-dateutil==2.9.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated pytz==2024.1 in ``requirements.txt`` (:pull:`428`)
+    * Added arch==7.0.0 in ``requirements.txt`` (:pull:`428`)
+    * Added filterpy==1.4.5 in ``requirements.txt`` (:pull:`428`)
+    * Updated requests==2.32.3 in ``requirements.txt`` (:pull:`428`)
+    * Updated retrying==1.3.4 in ``requirements.txt`` (:pull:`428`)
+    * Updated scikit-learn==1.5.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated scipy==1.13.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated setuptools-scm==8.1.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated six==1.16.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated statsmodels==0.14.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated threadpoolctl==3.5.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated typing_extensions==4.12.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated urllib3==2.2.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated xgboost==2.1.1 in ``requirements.txt`` (:pull:`428`)
+
+    * Updated matplotlib==3.5.3 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated numpy==1.22.4 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated pandas==1.4.4 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated statsmodels==0.13.5 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated scipy==1.8.1 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated h5py==3.7.0 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated pvlib==0.11.0 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated scikit-learn==1.1.3 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated arch==4.11 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated filterpy==1.4.5 in ``requirements_min.txt`` (:pull:`428`)
+
+    * Updated appnope==0.1.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated argon2-cffi==23.1.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated backcall==0.2.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated beautifulsoup4==4.12.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated bleach==6.1.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated cffi==1.17.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated colorama==0.4.6 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated decorator==5.1.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated entrypoints==0.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated html5lib==1.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ipykernel==6.29.5 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ipython==8.26.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ipywidgets==8.1.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jedi==0.19.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated Jinja2==3.1.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jsonschema==4.23.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyter-client==8.6.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyter-console==6.6.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyter-core==5.7.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyterlab-pygments==0.3.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated lxml==5.3.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated MarkupSafe==2.1.5 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated mistune==3.0.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nbclient==0.10.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nbconvert==7.16.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nbformat==5.10.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nest-asyncio==1.6.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated notebook==7.2.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated numexpr==2.10.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pandocfilters==1.5.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated parso==0.8.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pexpect==4.9.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated prometheus-client==0.20.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated prompt-toolkit==3.0.47 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ptyprocess==0.7.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pycparser==2.22 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated Pygments==2.18.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pyzmq==26.1.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated qtconsole==5.5.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated Send2Trash==1.8.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated soupsieve==2.6 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated terminado==0.18.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated testpath==0.6.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated tinycss2==1.3.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated tornado==6.4.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated traitlets==5.14.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated wcwidth==0.2.13 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated widgetsnbextension==4.0.11 in ``notebook_requirements.txt`` (:pull:`428`)
+
+* Update requirements in setup.py
+    * Increase maximum version of pvlib to <0.12 (:pull:`423`)
+    * Updated classifiers to accomodate new python versions (:pull:`428`)
+    * Add pytest-cov to TESTS_REQUIRE (:pull:`420`)
+    * Add arch >= 4.11 to INSTALL_REQUIRES (:pull:`428`)
+    * Add filterpy >= 1.4.2 to INSTALL_REQUIRES (:pull:`428`)
+    * Updated matplotlib >= 3.5.3 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated numpy >= 1.22.4 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated pandas >= 1.4.4 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated statsmodels >= 0.13.5 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated scipy >= 1.8.1 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated h5py >= 3.7.0 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated plotly>=4.0.0 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated xgboost >= 1.3.3 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated pvlib >= 0.9.0, <0.12.0 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated scikit-learn >= 1.1.3 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated sphinx==8.0.2 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx==0.9.5 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx-link==1.3.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx_rtd_theme==3.0.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx==8.0.2 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx==0.9.5 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx-link==1.3.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx_rtd_theme==3.0.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx-gallery==0.18.0 in EXTRAS_REQUIRE (:pull:`428`)
+
+
+* Updated Github actions in workflows (:pull:`428`)
+* Updated versioneer to 0.29 (:pull:`428`)
+* Updated os to ubuntu-24.04 and python to 3.12 in ``.readthedocs.yml`` (:pull:`428`)
+
 
 Deprecations
 ------------
 * Removed  :py:func:`~rdtools.normalization.sapm_dc_power` (:pull:`419`)
 * Removed  :py:func:`~rdtools.normalization.normalize_with_sapm` (:pull:`419`)
+* Removed  :py:func:`~rdtools.test.conftest.fail_on_rdtools_version` (:pull:`428`)
 
 Contributors
 ------------
diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py
index ff39965b..72889388 100644
--- a/docs/sphinx/source/conf.py
+++ b/docs/sphinx/source/conf.py
@@ -62,9 +62,9 @@
 
 # List of external link aliases.  Allows use of :pull:`123` to autolink that PR
 extlinks = {
-    'issue': ('https://github.com/NREL/rdtools/issues/%s', 'GH #'),
-    'pull': ('https://github.com/NREL/rdtools/pull/%s', 'GH #'),
-    'ghuser': ('https://github.com/%s', '@')
+    "issue": ("https://github.com/NREL/rdtools/issues/%s", "GH #%s"),
+    "pull": ("https://github.com/NREL/rdtools/pull/%s", "GH #%s"),
+    "ghuser": ("https://github.com/%s", "@%s"),
 }
 
 # -- Options for HTML output -------------------------------------------------
diff --git a/docs/system_availability_example.ipynb b/docs/system_availability_example.ipynb
index bd860b68..2626e49e 100644
--- a/docs/system_availability_example.ipynb
+++ b/docs/system_availability_example.ipynb
@@ -69,7 +69,7 @@
     "\n",
     "    # generate a plausible clear-sky power signal\n",
     "    times = pd.date_range('2019-01-01', '2019-01-12', freq='15min', tz='US/Eastern',\n",
-    "                          closed='left')\n",
+    "                          inclusive='left')\n",
     "    location = pvlib.location.Location(40, -80)\n",
     "    clearsky = location.get_clearsky(times, model='haurwitz')\n",
     "    # just scale GHI to power for simplicity\n",
@@ -139,7 +139,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x600 with 3 Axes>"
       ]
@@ -194,7 +194,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     }
@@ -220,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {
     "tags": [
      "nbsphinx-thumbnail"
@@ -231,14 +231,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n",
-      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
+      "C:\\Users\\mspringe\\AppData\\Local\\Temp\\1\\ipykernel_90556\\2870437487.py:3: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
+      "  fig.axes[1].legend(loc='upper left')\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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EmD7++GOnJCAApySbu0aMGIFXXnkFQUFBSExMhFbr/HrdlRjdodFoyuw/WnrfyKCgmvu7fuMAV41GA5vNVsHRRERUG7mVrQoMDES/fv3w6quv4o033sDEiRMRGhqKv/76y9vxkRdczhX33gpCbKgeOj8tbAKQwf3OiBRnMFuRVWjflyop0p6o9LV2U7El3E+jkRI5vhK7rxHvKzGhJRNhmbCsXuKaB+v8EOioGgvT+0Pvb38Jxfs6kXdptVrMmDEDr776KoqLi9G2bVvo9XqkpaWhefPmTv9uHPK5a9cu6fvs7GycPHkSbdq0AQC0adNG2vNRtH37drRs2bLSJKO4Z6XVapVOi4+PR1JSEs6ePVsmJnHP/zZt2uDw4cMwGEpeb5eOrzIRERFo3rw56tevXyZZWZ42bdpg586dTsnG7du3IywsDA0aNECzZs0QEBCA3bt3S+eL61NavXr1kJ6eLv186tQpFBWVdGV16NABBw8eRFZWVrlx6HQ6p3WqKNZDhw6hsLDQKVatViu74pOIiGo3WR+7mkwm7Nq1C5s3b8aWLVuwe/duJCcn47bbbsOyZcuc9pAhdSg0WpBTZP9kNDEiEFqtBvWjgpB6rRAXs4uR7NgDjYiUISZDAvw0iAiyVxPEhtnfHF3N940JxDZHhaWftiTZyuRZ9bjuuL9Eh5QkLEsS3L5xf/E1WeWsuUZjrya+lFOMqwVG/i0l8rIHH3wQU6dOxfvvv48XX3wRL774IiZPngybzYbevXsjNzcX27dvR3h4OEaNGiVdbvbs2YiJiUF8fDxeeeUVxMbGYujQoQCAF154AbfccgvmzJmDhx9+GDt37sSyZcvKTPa+UVxcHIKCgrBu3To0aNAAgYGBiIiIkIo2IiIiMGjQIBiNRvzxxx/Izs7GlClT8Oijj+KVV17B2LFjMX36dJw7dw7vvvtutazXs88+iyVLluC5557DhAkTcOLECcyaNQtTpkyBVqtFaGgoxowZg6lTpyImJgZxcXF45ZVXyiRD+/Xrh2XLliElJQVWqxUvvfSSU6Xj8OHDMXfuXAwdOhTz5s1DYmIiDhw4gKSkJKSkpKBx48ZITU3FwYMH0aBBA4SFhZWpgh0xYgRmzZqFUaNG4fXXX8fVq1fx3HPP4fHHH+f2YkREXnKtwIi/0vPdumyQzg9dGkV5OSL3uJyw7NevH3bv3o0mTZqgT58++Nvf/oavvvoKiYmJ1RkfeUhsNQ0L9EdYoP0FR3y4HqnXCpGZzwpLIqVdLyhJhoh7T9UTk34+Urllc1R02JM43E+xOmU59lKMCWGFZU2RqlpLrTlgX/dLOcVcd6Jq4O/vjwkTJmDBggV45plnMGfOHNSrVw/z5s3D2bNnERkZiZtvvhkzZsxwutzbb7+N559/HqdOnUKnTp3w3//+V6qQvPnmm/Htt99i5syZmDNnDhITEzF79myngTsVxfLee+9h9uzZmDlzJm699VZs2bIFTz31FIKDg/HOO+9g6tSpCAkJQfv27TFp0iQA9gE0//3vf/H000+jc+fOaNu2LebPny/tzelN9evXx88//4ypU6eiY8eOiI6OxpgxY/Dqq69Kx7zzzjsoKCjA3XffjbCwMLzwwgvIzc11up6FCxfiiSeewK233oqkpCQsXboU+/btk87X6XRYv349XnjhBdx5552wWCxo27Yt3n//fQDAsGHD8P333+P2229HTk4OVqxYUWZ9g4OD8csvv+D555/HLbfcguDgYAwbNgyLFi3y+roQEdVFP/+Zjsn/Pgijxb1tNFrFh+GXybd5OSr3uJyw/O2335CYmIh+/fqhb9++6NOnD2JiYqozNvICMWkgvqEFSqpxrrMah0hx16QEVKnHqNhW7SOJEKvjb6GfVsPkWTUrqbAs5zm90AibTYBWqyn3suQeMUkcXU7CEuB9nchTK1euLPf0l19+GS+//LL08/PPP4/nn3++0uvq3bs3jhw5UuH5w4YNqzRheO7cuXJPf+qpp/DUU0+VOf3RRx/Fo48+WuH19ejRAwcPHnQ67cY9Im+0ZcsWt87v06cP9uzZU+HlQkND8c9//hP//Oc/pdOmTp3qdExSUhJ++eUXp9NycnKcfm7UqBH+85//lHsber2+3PNu/J3bt2+PTZs2VRhrefeJJUuWVHg8ERHZpV4rlJKV9SODEBYofy/rRjHq6RxyOfqcnBz89ttv2LJlC+bPn4/hw4ejZcuW6NOnj5TArFevXnXGSm4Qk5Kx5by5ZQUUkfKyCsrZk7DUY1QQBKepn2pkK7WHJduTq1d59xfxe7NVQG6xGVE3JNbIM+UliQFuf0BERERE6rJs02kYLTb0ah6Dfz7Z3ecLGVweuhMSEoJBgwbh7bffxu7du3Ht2jUsWLAAwcHBWLBgARo0aICbbrqpOmMlN4hJSXFPPABs2SRSkevltPiKiRCjxYYCo0WRuOQoPSVcqjrj80u1KG8PS72/HyKD7Vt+cN29r7wkMQBEh9jXPLfYXOYyREREREQ16WJ2EVYfvAQAmDawtc8nKwE3p4QD9gRmdHQ0oqOjERUVBX9/fxw/ftybsZEXXC8op92UFVBEqlFe9VaQzg+hensBvC9Ub4kVllpNqecXH4jbF12vYD9Frnv1KW/oDgBpSFZOEf+WEimtb9++EAQBkZGRSodCRESkiNUHLsFqE9CjaTQ6JkcqHY5XuJywtNls2LNnDxYsWIDBgwcjMjISPXv2xAcffICEhAS8//77OHv2rKwb//DDD9GhQweEh4cjPDwcKSkp+N///iedbzAYMH78eMTExCA0NBTDhg3DlStXnK4jLS0NQ4YMQXBwMOLi4jB16lRYLM4VSVu2bMHNN98MvV6P5s2bV7hXTm10rbBsZUjJHpZ8Y0uktOsVVG+VVEKrPxkitYRrS1rCWelXPaShOzfcX6IcFZY5rPbzuvKqWgEgMsj+MyssiYiIiEhpaw6nAwDu61xf4Ui8x+U9LCMjI1FYWIiEhATcfvvtWLx4Mfr27YtmzZq5feMNGjTA22+/jRYtWkAQBHz++ee49957ceDAAbRr1w6TJ0/G2rVrsWrVKkRERGDChAm4//77sX37dgCA1WrFkCFDkJCQgB07diA9PR0jR45EQEAA5s6dCwBITU3FkCFD8PTTT+PLL7/Exo0b8dRTTyExMREDBw50O3ZfIVVYhpYz0MMHEiFEtV1FE4hjQ/U4d73IJ7ZukFrCNRpp/818gwVGixV6fz8lQ6t1sgrK30+xpNqPyTNvq+gxGh7EJDERERERKe90ZgH+ysiHv1aDge0SlA7Ha1xOWL7zzju4/fbb0bJlS6/d+N133+3081tvvYUPP/wQu3btQoMGDfDpp5/iq6++Qr9+/QAAK1asQJs2bbBr1y706NED69evx7Fjx/Drr78iPj4enTp1wpw5c/DSSy/h9ddfh06nw/Lly9GkSRMsXLgQANCmTRv8/vvvWLx4cYUJS6PRCKOxJEmQl5fntd+5pl2Thu6UGtDg+P6qjwz0IKrNyvtQwf6z/XEqVnepWekp4WGB/tBoAEEA8ootqBfGhKW3GMxWFJqsAMpW+4nJM1b7eZ+YsLxxmJG4byjXnIiIiIiUtOVEJgAgpVkMIoNrzwBOl1vC//a3v6Fly5bYvHlzhce8//77bgditVrxzTffoLCwECkpKdi3bx/MZjP69+8vHdO6dWs0bNgQO3fuBADs3LkT7du3R3x8vHTMwIEDkZeXh6NHj0rHlL4O8RjxOsozb948RERESP+Sk5Pd/r2UVl4yRByKYfKRgR5EtVlV7aZ5PpAMEUrtYanVahAeKCZy1J9s9SVi4sxfq0F4oPPnjWxPrj55BvuaRjqSwiKxqtUXHqNEREREVHv9fvoaAODWFrEKR+Jdsofu3H///di3b1+Z05cuXYrp06fLDuDPP/9EaGgo9Ho9nn76afzwww9o27YtMjIyoNPpymyeHR8fj4yMDABARkaGU7JSPF88r7Jj8vLyUFxcXG5M06dPR25urvTvwoULsn8vtRD3x4sttd9ZYEDJQA+2hRMpq7zHKABEBPvOQA+rUNISDpQkcpg88y5xPSODA8pUxpesufrvL77EZhOkD/bCb0hYRgaXtOGLSXsiIiIioppktFix+2wWAKB383oKR+NdshOW77zzDgYPHoy//vpLOm3hwoWYOXMm1q5dKzuAVq1a4eDBg9i9ezeeeeYZjBo1CseOHZN9Pd6k1+ulQUDiP19kMFuR73ijdWO7aclAD/Xvj0dUWxnMVhSb7S2+N5bu+1LST9zD0k9rT6KxVbZ6iJV8YgVraRFB9g+huObelW+0QMxFht1Q1So+Ri02AUWOVn0iIlf07dsXkyZNUjoMAMDKlStrZLr66NGjMXTo0Gq/HSKiuubQhVwUm62IDdWhdUKY0uF4leyE5VNPPYUXX3wR/fv3x7lz5zB//nzMnj0bP//8M2699VbZAeh0OjRv3hxdunTBvHnz0LFjRyxduhQJCQkwmUzIyclxOv7KlStISLBvIpqQkFBmarj4c1XHhIeHIygoSHa8vkRsHwzwK6d90JEcyfaB/fGIaiux1VSjAcL0zo9RX9qTsPSUcIADYKpLnqH8Sj+g5DndF+4vvkRMEuv9tWUGSAUF+EHnZ38ZxcE7RO4bPXo0NBpNmX+DBg1SOjQnNZlkXLlypbQOWq0WDRo0wBNPPIHMzMwauX1PnDt3DhqNBgcPHnQ6fenSpVi5cqUiMRER1Wb707IBAF0bRUOrrV3zSVweulPatGnTcP36dXTt2hVWqxW//PILevTo4ZWAbDYbjEYjunTpgoCAAGzcuBHDhg0DAJw4cQJpaWlISUkBAKSkpOCtt95CZmYm4uLiAAAbNmxAeHg42rZtKx3z888/O93Ghg0bpOuozbIdraSRwbpK2gf5JotIKaUr5m784xLpQ49Rm2Pojvg840vJVl8i3V/KSVgySVw9xA8VyltzjUaD8KAAXCswIrfIjPqRtftDUKLqNGjQIKxYscLpNL1eX8HRdUN4eDhOnDgBm82GQ4cO4YknnsDly5fxyy+/lDnWarVKyU21ioiIUDoEIqJaaf95e8Ly5kaRygZSDVz6q/bee++V+Ve/fn0EBwdjyJAh2LNnj3S6HNOnT8e2bdtw7tw5/Pnnn5g+fTq2bNmCESNGICIiAmPGjMGUKVOwefNm7Nu3D0888QRSUlKk5OiAAQPQtm1bPP744zh06BB++eUXvPrqqxg/frz0Iufpp5/G2bNnMW3aNPz111/44IMP8O2332Ly5Mkyl8r35BU7qnECy+alpWEBBg7dIVJKrvgYDar4MeoLCShxD0s/7mFZraTkWTnP6UwSV4/K/o4Cpfax5N6hRB7R6/VISEhw+hcVFQUA2LJlC3Q6HX777Tfp+AULFiAuLk7qourbty8mTJiACRMmICIiArGxsXjttdec9pc1Go148cUXUb9+fYSEhKB79+7YsmWLUxzbt29H3759ERwcjKioKAwcOBDZ2dkYPXo0tm7diqVLl0qVj+fOnQMAHDlyBIMHD0ZoaCji4+Px+OOP49q1a9J1FhYWYuTIkQgNDUViYiIWLlzo0ppoNBokJCQgKSkJgwcPxsSJE/Hrr7+iuLhYauP+6aef0LZtW+j1eqSlpSE7OxsjR45EVFQUgoODMXjwYJw6dcrpeleuXImGDRsiODgY9913H65fv+50fnmt25MmTULfvn2ln202GxYsWIDmzZtDr9ejYcOGeOuttwAATZo0AQB07twZGo1GutyN12s0GjFx4kTExcUhMDAQvXv3xt69e6Xzt2zZAo1Gg40bN6Jr164IDg5Gz549ceLECZfWj4ioLhAEAfvTcgAANzeMUjaYauBSheXixYvLPd3Pzw/bt2/H9u3bAdj/sE6cONHlG8/MzMTIkSORnp6OiIgIdOjQAb/88gv+7//+T7pdrVaLYcOGwWg0YuDAgfjggw+cbn/NmjV45plnkJKSgpCQEIwaNQqzZ8+WjmnSpAnWrl2LyZMnY+nSpWjQoAE++eQTDBw40OU4fZX4xjWikmocvrklUk5JAqrix6gvTCC2SXtY2n/2pepQXyIlz8ptCXesuQ8kuH1JZRWWgG89TqkOEgTAXKTMbQcE2/c78QKxFVssUDh79ixee+01rFq1ymmw5ueff44xY8Zgz549+OOPPzBu3Dg0bNgQY8eOBQBMmDABx44dwzfffIOkpCT88MMPGDRoEP7880+0aNECBw8exB133IEnn3wSS5cuhb+/PzZv3gyr1YqlS5fi5MmTuOmmm6T3GfXq1UNOTg769euHp556CosXL0ZxcTFeeuklPPTQQ9i0aRMAYOrUqdi6dSt+/PFHxMXFYcaMGdi/fz86deokax2CgoJgs9lgsdj/FhQVFWH+/Pn45JNPEBMTg7i4OAwfPhynTp3CTz/9hPDwcLz00ku48847cezYMQQEBGD37t0YM2YM5s2bh6FDh2LdunWYNWuW7P+T6dOn4+OPP8bixYvRu3dvpKenS/MN9uzZg27duuHXX39Fu3btoNPpyr2OadOm4bvvvsPnn3+ORo0aYcGCBRg4cCBOnz6N6Oho6bhXXnkFCxcuRL169fD000/jySeflN57EhHVdRezi3GtwIgAPw1uql/7KtldSlimpqZWy41/+umnlZ4fGBiI999/H++//36FxzRq1KhMy/eN+vbtiwMHDrgVoy9zpX2Qb7KIlJNXSz5UEPew1NxYYcnkmVe5kuDON1pgtQnSfqLkmcoGHQElyXlfqISmOshcBMxNUua2Z1wGdCEuH75mzRqEhoY6X8WMGZgxYwYA4M0338SGDRswbtw4HDlyBKNGjcI999zjdHxycjIWL14MjUaDVq1a4c8//8TixYsxduxYpKWlYcWKFUhLS0NSkn1NXnzxRaxbtw4rVqzA3LlzsWDBAnTt2tWpOKJdu3bS9zqdDsHBwdI++QCwbNkydO7cGXPnzpVO++yzz5CcnIyTJ08iKSkJn376Kf71r3/hjjvuAGBPrDZo0MDltQGAU6dOYfny5ejatSvCwuwDFcxmMz744AN07NhROuann37C9u3b0bNnTwDAl19+ieTkZKxevRoPPvggli5dikGDBmHatGkAgJYtW2LHjh1Yt26dy7Hk5+dj6dKlWLZsGUaNGgUAaNasGXr37g3AnsgFgJiYGKe1Kq2wsBAffvghVq5cicGDBwMAPv74Y2zYsAGffvoppk6dKh371ltvoU+fPgCAl19+GUOGDIHBYEBgYKDLMRMR1Vbi/pVtkyIQGOBXxdG+x609LMk3sMKSSN0qn/psP63QZIXZakOAn3r3pbI6Ou7YEl69Sj6EqngLAfG4qJDyK1pInsoGHQG8rxN5y+23344PP/zQ6bTSVXY6nQ5ffvklOnTogEaNGpXb/dWjRw+nPdtTUlKwcOFCWK1W/Pnnn7BarWjZsqXTZYxGI2JiYgAABw8exIMPPigr7kOHDmHz5s1lkq0AcObMGRQXF8NkMqF79+5Ov1erVq2qvO7c3FyEhobCZrPBYDCgd+/e+OSTT6TzdTodOnToIP18/Phx+Pv7O91WTEwMWrVqhePHj0vH3HfffU63k5KSIithefz4cRiNRikB644zZ87AbDajV69e0mkBAQHo1q2bFKuo9O+YmJgIwN6l17BhQ7dvn4iotpD2r2wYqWwg1cSlhOWUKVMwZ84chIS49knp9OnTMXXqVKcXGlTzxGocX09YXs4pxtJfT6FNYhhG92qidDhEXlOSDKl4T0LAnoCKCVXv8IGSlnAmLKtTbiUJ7gA/LUJ0fig0WZHDhKXXlHyoUP7LJfFxms/9oEmNAoLtlY5K3bYMISEhaN68eaXH7NixAwCQlZWFrKwsl9+XAEBBQQH8/Pywb98++Pk5V6CIycagIPmDswoKCnD33Xdj/vz5Zc5LTEzE6dOnZV+nKCwsDPv374dWq0ViYmKZ+IKCgsoM1fQGrVbrtPcnYK/mLH27NSkgoORvnvj72sRpf0REddzhS7kAgE7JkcoGUk1cKtlZunQpiopc3wPn/fffR05OjrsxkZdU9uZWTJCoPaEgCAImfLUf//7jAl7/7zFsP32t6gsR+YjKKiz9tBqEOZIkOSp/nFodCUtx0nmENIhE3XH7Glf3U1T787ovqWrNQ/X2x2iBkQlLUiGNxt6WrcQ/LyfSzpw5g8mTJ+Pjjz9G9+7dMWrUqDJJq927dzv9vGvXLrRo0QJ+fn7o3LkzrFYrMjMz0bx5c6d/Yttyhw4dsHHjxgpj0Ol0sFqtTqfdfPPNOHr0KBo3blzmekNCQtCsWTNp70hRdnY2Tp48WeXvrNVq0bx5czRt2tSlJGGbNm1gsVicbuv69es4ceIE2rZtKx1T3jqVVq9ePaSnpzuddvDgQen7Fi1aICgoqMK1EvesvHGtSmvWrBl0Op3TXpRmsxl79+6VYiUiospZbQL+Ss8HALRLqn37VwIuJiwFQUDLli0RHR3t0r/CwsLqjptcUFlLuK9MlD15pUCaegUA3/5xQblgiLysssdo6dPV/jgV97AUt030lbh9jTh0p6L7S0m1H9fdW0qmhFeQsHR8qMAKSyLPGI1GZGRkOP0TJ21brVY89thjGDhwIJ544gmsWLEChw8fLjNtOy0tDVOmTMGJEyfw9ddf4+9//zuef/55APa9GkeMGIGRI0fi+++/R2pqKvbs2YN58+Zh7dq1AOwdYnv37sWzzz6Lw4cP46+//sKHH34oxdG4cWPs3r0b586dw7Vr12Cz2TB+/HhkZWVh+PDh2Lt3L86cOYNffvkFTzzxBKxWK0JDQzFmzBhMnToVmzZtwpEjRzB69Ghotd7f5qVFixa49957MXbsWPz+++84dOgQHnvsMdSvXx/33nsvAGDixIlYt24d3n33XZw6dQrLli0r0w7er18//PHHH/jiiy9w6tQpzJo1C0eOHJHODwwMxEsvvYRp06bhiy++wJkzZ7Br1y5pNkFcXByCgoKwbt06XLlyBbm5uWViDQkJwTPPPIOpU6di3bp1OHbsGMaOHYuioiKMGTPG62tDRFQbnbteiGKzFUEBfmgS63rXgS9xqSV8xYoVsq+49NQ+UkZtGOix9WQmACBM7498owWb/8qEzSZIlVxEvsyVirmL2cWqf5yKCUvuYVm9SobulP+nW6r2Y/LMa0oeo1WsuZH3dSJPrFu3TtqfUNSqVSv89ddfeOutt3D+/HmsWbMGgL3V+qOPPsLw4cMxYMAAaejMyJEjUVxcjG7dusHPzw/PP/88xo0bJ13fihUr8Oabb+KFF17ApUuXEBsbix49euCuu+4CYE9qrl+/HjNmzEC3bt0QFBSE7t27Y/jw4QDsQ3pGjRqFtm3bori4GKmpqWjcuDG2b9+Ol156CQMGDIDRaESjRo0waNAgKSn5zjvvSK3jYWFheOGFF8pN4nnDihUr8Pzzz+Ouu+6CyWTCbbfdhp9//llqq+7Rowc+/vhjzJo1CzNnzkT//v3x6quvYs6cOdJ1DBw4EK+99hqmTZsGg8GAJ598EiNHjsSff/4pHfPaa6/B398fM2fOxOXLl5GYmIinn34aAODv74/33nsPs2fPxsyZM3Hrrbdiy5YtZWJ9++23YbPZ8PjjjyM/Px9du3bFL7/8gqioqGpZGyKi2ubY5TwAQOvEsFo7cFMj3LhJCZWRl5eHiIgI5ObmIjw8XOlwXHb/B9uxPy0Hyx+7GYNucn4ReDG7CL3nb4bOX4uTbw5WKMKqPf3PfVh3NAPTBrXC0l9PwWixYdMLfdC0XtnNzYl8zWOf7Mbvp69h8cMdcV/nshNDH/14F3acuY6lj3TCvZ3qKxCha+5YuAVnrhbim3E90KNpDPIMZnR4fT0A4MSbg6D3r30T65TQ4fVfkGewYOMLfdCsnOfA0Sv2YMuJq1jwQAc81DVZgQhrn4f/sRO7U7Pw9+GdcXfHstOWfzx4Cc9/cxC9msfgy6d6KBChPL76eoZKVPZ/aDAYkJqaiiZNmtS5Ccp9+/ZFp06dsGTJEqVDIQXV5ccAEdU989f9hQ+3nMGI7g3x1n3tlQ7HZXJej6p37Cx5TNrDspIKS5PFBoO54j1mlHbkcskmsu2S7Hfmwxer51NpoppWVUt4mI+0m9rEKeGOT/ZCdCXVaIVG9T6/+BKbTUC+sYr2ZFZYel1VU8K55kRERESkBLHCsm1S7f0QmgnLWkx8o1VeMiRU7y8lF9TatplnMONidjEAoF1ihPRAPHklX8mwiLympMW3omSI/XS1D/S4cQ9LP60GwTp7VSUTOd5RYLJA7IcIq6AlXDxd7fcXXyLuByomJm8knp7PNSciIiKiGnQs3ZGwTKy9CUuX9rAk31TZlHCNRoPwQH9kF5mRW2xGfLj62ibOXbMPb6oXpkdEcIDUAnnmaoGSYRF5TV4lVdBAqQSUypN+0pTwUlNhQ/X+KDJZkc+9/bxCrLLV+WsRGFB+iz0nVntfkcleIVxhwtJHHqNEtV15eyQSERHVVpn5BlzNN0KrAVon1N6EJSssaymD2QqTxQYAiAj2zQnEqY6EZZMY+8SrkoQlp9CT7xMEQaqCrqhizlcSUDZHwrL0Zs9M5HhXoeM+UFHizH6eOCWca+4t4mMvRF9+kjjMR6qgiYiIiKj2OJ5u7zptEhuCIF3tnRcgK2FpNpvh7++PI0eOVFc85CVi5ZZGA4TqqqgMUekbrbOOxGTj2GD7V0fi8kJWETgrinyd0WKTKhOrqt5SewLKKpStsAzzkWSrr6gqcQao/znd15itNumDv5Aq/o4WmazS45mIiIiIqDqV7F8ZoXAk1UtWwjIgIAANGzaE1cohCmqXX6oaR1vBiHu1Dwu4nGPfv7JBlD1hGR+hB2BP9GQXqbMqlMhVpZNKFSZDpKSfuu/vYp7GqSWcyTOvKnIML6rovgKUShIb1H1/8RVFpQZGhVTwoULpBDLv60RERERUE+rC/pWAGy3hr7zyCmbMmIGsrKzqiIe8RE77oFrfZGXkGQAAiRH2/TX1/n6IDbUnLcVkJpGvEh+jwTq/Cj9U8JUhKuW2hOt9ozrUV5RUWFbynO4j9xdfUWiyr2OAnwY6//JfLun9/aTzuO5EREREVBOOXc4FULsnhANuDN1ZtmwZTp8+jaSkJDRq1AghISFO5+/fv99rwZH7XHlzq/aBHhm5YsIySDotKTIQ1wqMSM814Kb6tbv8mWq3AilhWfFjVKymU+tjVCS2hPuVyumo/QMRX1PoSsKSSWKvcmXNAXtl63WLSfWPUyIiIiLyfUUmC8465n3U9gpL2QnLoUOHVkMY5G2FYvugK29uVZpQEBOWCRElE8wTIwJx+GIu0nNZYUm+rWT6cNV7Eqr1MSoS9+7TlN7DUuUfiPgasdovpJJNtVlh6V3SB3+VfKgA2Nf9eqFJ9Vs3ELmqsLAQoaH2QYcFBQVlihOIiIhIOX9l5EMQgHphetQL0ysdTrWSnbCcNWtWdcRBXlbSEl7xm1sxmVmowje3+QazlKRxTljaqy0v5xgUiYvIW1xq8VXxY7Q0cQaWn6ZsSziTZ97hyodQHHTkXeKHCpUNOgJY2UpE5WvcuDEmTZqESZMmKR0KERH5CFc+NJQG7tTy6krAjT0sASAnJweffPIJpk+fLu1luX//fly6dMmrwZH7XKkMUXMF1BXH/pVhgf5O+3CK+1mywpJ8nSvtpmp+jIqu5hul6r/woADpdF+ZcO4rXNqXuNT9RRA4sdpTrnyoADA5T+Spvn37lpvUW7lyJSIjI2s8nhtpNBqsXr1a9uX27t2LcePGuXz8li1boNFokJOTI/u2iIio7pAG7tTy/SsBNyosDx8+jP79+yMiIgLnzp3D2LFjER0dje+//x5paWn44osvqiNOksm1oTvqfZOVnus8cEeUGGmvsExnhSX5ODmP0UKTFVab4DTURi22nMiEIAAdGkQgOkQnne4rE859RUGpIU0VEdfcYhNgtNgQGFB5ZSBVrshU9WMU8I0PFohIPpPJBJ1OV/WBFahXr54XoyEiIrJjhWUlpkyZgtGjR+PUqVMIDCxJJt15553Ytm2bV4Mj98ka0KDChGXJ/pVBTqcnORKYl1lhST6uwJV9ZgNLzhOrGNXm8EX7hLoeTWOcTheTOGIrM3nGlef00hX1rGz1nPgYrSxJDLAlnKgmjB49GkOHDsW7776LxMRExMTEYPz48TCbSz4UMxqNeOmll5CcnAy9Xo/mzZvj008/lc4/cuQIBg8ejNDQUMTHx+Pxxx/HtWvXpPP79u2LCRMmYNKkSYiNjcXAgQPRuHFjAMB9990HjUYj/XzmzBnce++9iI+PR2hoKG655Rb8+uuvTjE3btwYS5YskX7WaDT45JNPcN999yE4OBgtWrTATz/9BAA4d+4cbr/9dgBAVFQUNBoNRo8ejS+++AIxMTEwGo1O1z106FA8/vjjHq8rERH5FqtNwF8ZdafCUnbCcu/evfjb3/5W5vT69esjIyPDK0GR5+QkQ9S4P56UsAx33kRW3FT2eoGpxmMi8iYpAVVJMkTv7wedY/S2Wqu3jqeX/wmfmj8Q8UUlQ5oqfk7XajU+s++pL3B1SniwVAnNNSd1EQQBhYWFbv0TuXv56tiWYvPmzThz5gw2b96Mzz//HCtXrsTKlSul80eOHImvv/4a7733Ho4fP45//OMf0j5gOTk56NevHzp37ow//vgD69atw5UrV/DQQw853cbnn38OnU6H7du3Y/ny5di7dy8AYMWKFUhPT5d+LigowJ133omNGzfiwIEDGDRoEO6++26kpaVV+ju88cYbeOihh3D48GHceeedGDFiBLKyspCcnIzvvvsOAHDixAmkp6dj6dKlePDBB2G1WqXEJgBkZmZi7dq1ePLJJz1eUyIi8i2p1wpgMNsQFOCHxjG1fyie7JZwvV6PvLy8MqefPHmSrQ8q4srQHallU4WJkGsF9k+Sb5x6FRNq/7nYbEWRyYLgKqa3EqmVNPW5imRIiN4PpiKbKrdusNkEKWHZpoKEZYGBLeHe4EpLOGBf9wKjhdV+XlDk4pRw8UOHYhOriUldioqKpISdu+Lj4926XHVMF4+KisKyZcvg5+eH1q1bY8iQIdi4cSPGjh2LkydP4ttvv8WGDRvQv39/AEDTpk2lyy5btgydO3fG3LlzpdM+++wzJCcn4+TJk2jZsiUAoEWLFliwYEGZ246MjERCQoL0c8eOHdGxY0fp5zlz5uCHH37ATz/9hAkTJlT4O4wePRrDhw8HAMydOxfvvfce9uzZg0GDBiE6OhoAEBcX57R356OPPooVK1bgwQcfBAD861//QsOGDdG3b19Xl46IiGqJo5fF915hqtwuzNtkV1jec889mD17ttSCodFokJaWhpdeegnDhg3zeoDkngIXkiFq3sPyeqG9gjI6xDlhGaLzg87ffrdllSX5Mlert9Q8vOZCdhEKTVbo/LRoWs/5jak0AEaFzy++yJU9TwEg2PEhFav9POdKpwIABOlYYUlUE9q1awc/v5IPbRITE5GZmQkAOHjwIPz8/NCnT59yL3vo0CFs3rwZoaGh0r/WrVsDsLd3i7p06eJSLAUFBXjxxRfRpk0bREZGIjQ0FMePH6+ywrJDhw7S9yEhIQgPD5d+h4qMHTsW69evl4abrly5EqNHj4ZGU/vfqBIRkTMxYdkuKULhSGqG7PK0hQsX4oEHHkBcXByKi4vRp08fZGRkICUlBW+99VZ1xEhucGkPSykRor4KqCxHwjImxHmzc41Gg9gQHS7nGpBVaEJydLAS4RF5TNzbsbIqaPv5AQCKVZn4E6srW8SHIsDP+fMv7uvnXYUm15JnYjUgq/08VzJ0p/LHqFhhWcQ1J5UJDg5GQUGB7MsVFhZKlZVXrlxxq1IyONj112fh4eHIzc0tc3pOTg4iIkrekAUEBDidr9FoYLPZAABBQc57nt+ooKAAd999N+bPn1/mvMTEROl7V3/XF198ERs2bMC7776L5s2bIygoCA888ABMpso/TK/sd6hI586d0bFjR3zxxRcYMGAAjh49irVr17oUJxER1S7SwJ06sH8l4EbCMiIiAhs2bMDvv/+Ow4cPo6CgADfffLPUfkHq4Eo1TlipCcSCIKjqk9osqcKy7HTG6FB7wvJ6obHMeUS+osDFCsswFW/dcPaafZ+zlvFhZc4Tt2soNlthswnQ1oGWherkakVukI4Vlt5S0oZfRVWrmLDkgClSGY1G43FbdkhIiNdbu2/UqlUrrF+/vszp+/fvl1q1q9K+fXvYbDZs3bq13PckN998M7777js0btwY/v7y3v4EBATAanV+fG/fvh2jR4/GfffdB8CeED137pys672ROJH8xtsCgKeeegpLlizBpUuX0L9/fyQnJ3t0W0RE5HsEQcDRy/YP+NrVkYSl7JZwg8E+DKV379549tlnMW3aNCYrVUjO0B2rTYDBXPmnuzXteiUJy5gQDt4h31fo4v54YotvkQoTUBeziwEADaLKVraEOOIWBMBgYSLHUyUJS1b71RSX2/Adj+EiM9ecyB3PPPMMTp48iYkTJ+Lw4cM4ceIEFi1ahK+//hovvPCCS9fRuHFjjBo1Ck8++SRWr16N1NRUbNmyBd9++y0AYPz48cjKysLw4cOxd+9enDlzBr/88gueeOKJchOEN173xo0bkZGRgezsbAD2vS6///57HDx4EIcOHcKjjz5aZaVkVRo1agSNRoM1a9bg6tWrTtWxjz76KC5evIiPP/6Yw3aIiOqo9FwDsovM8NNqyi0YqY1kJywjIyNx22234bXXXsOmTZtQXFxcHXGRhwqM9jbvylrZggL8IBY95RvV0xYuCAKyxZbw0PISlvbTxKQmkS9ytcU3WMUJqEuVJCwD/Uuee9QYu68pcDXBLSbPVLiFgK8RH6PBVSSJSyosueZE7mjatCm2bduGv/76C/3790f37t3x7bffYtWqVRg0aJDL1/Phhx/igQcewLPPPovWrVtj7Nix0sTzpKQkbN++HVarFQMGDED79u0xadIkREZGQqut/O3QwoULsWHDBiQnJ6Nz584AgEWLFiEqKgo9e/bE3XffjYEDB+Lmm292fxEA1K9fH2+88QZefvllxMfHOw3viYiIwLBhwxAaGoqhQ4d6dDtEROSbxP0rW8SFIjCg8tentYXslvBff/0V27Ztw5YtW7B48WJYLBZ07doVffr0Qd++ffF///d/1REnyVToQoWlRqNBiN4f+QYLCgwWxKkkSZ9XbIHFJgAAooLLSVg6kphZTFiSD3O1Yk5KQKkw6Xcpx56wrB9Zdq8yrVaDYJ0fikxWe6usZ4Nq6zSL1QajxV65U3W1nyN5xmo/j7nahh+sV+9jlMhX3HLLLeW2hYtWrlxZ5rQlS5Y4/RwYGIhFixZh0aJF5V6HWBVZkS1btpR7+t133427777b6bTGjRtj06ZNTqeNHz/e6ecbW8QFQShz3Tk5OU4/v/baa3jttdfKjePSpUsYMWIE9Hp9uecTEVHtJraD15X9KwE3Kix79+6NGTNmYP369cjJycHmzZvRvHlzLFiwQNanoFS9XK3GCVPhpHBxb8oQnV+5nxyIk8OvFXAPS/JdrrebqrMlXBAEqcKyfjkVlkDpVll1xe5rCkslwlyv9mPyzFNiAtJXH6NEVDtkZ2fjhx9+wJYtW8okRYmIqO6oaxPCATcSlgBw8uRJfPTRRxg5ciSGDRuG//73v7jrrrsq/ESzIvPmzcMtt9yCsLAwxMXFYejQoThx4oTTMQaDAePHj0dMTAxCQ0MxbNgwXLlyxemYtLQ0DBkyBMHBwYiLi8PUqVNhsTi/cdiyZQtuvvlm6PV6NG/evNxPamsLs9UGk4vVOEEqbDeVBu6U0w4OlFRYcg9L8mWuDt1Ra4VlVqEJxY4qvqTIwHKPERM5hUyeeURMbgf4aaD3ryJhyWo/rykZuuNikphrTrVESEgIBEGAIAjVPnCHqta5c2eMHj0a8+fPR6tWrZQOh4iIFCJNCE+sOxWWslvC69evj+LiYvTt2xd9+/bFSy+9hA4dOrg1YXrr1q0YP348brnlFlgsFsyYMQMDBgzAsWPHpBdIkydPxtq1a7Fq1SpERERgwoQJuP/++7F9+3YA9kl6Q4YMQUJCAnbs2IH09HSMHDkSAQEBmDt3LgAgNTUVQ4YMwdNPP40vv/wSGzduxFNPPYXExEQMHDhQdtxqV1iqWrKqZEiI9OZWPZUhJQN3ym95EfewZEs4+SpBEHy+wlJsB48L01eYRBNjL2YixyPi/31Vz+cAEBygzvuLL5I9dIf3cyKqBp5OHyciIt+XVWiS3n+xJbwS9erVQ1FRETIyMpCRkYErV664PXhn3bp1GD16NNq1a4eOHTti5cqVSEtLw759+wAAubm5+PTTT7Fo0SL069cPXbp0wYoVK7Bjxw7s2rULALB+/XocO3YM//rXv9CpUycMHjwYc+bMwfvvvw+TyZ7QWr58OZo0aYKFCxeiTZs2mDBhAh544AEsXrzYrbjVTqwK0flpofOv/L84KEB9lSFiIjKmnAnhQMnkcCYsyVcZzDY4tmn12eqtygbuiKQKSybPPFIg7klcxRYfACssvcVmE6Q1DK5i3UNKfahQ3h51VL0uXbqExx57DDExMQgKCkL79u3xxx9/SOePHj0aGo3G6d+NWxhlZWVhxIgRCA8PR2RkJMaMGeM0oRkADh8+jFtvvRWBgYFITk7GggULysSyatUqtG7dGoGBgWjfvj1+/vlnp/MFQcDMmTORmJiIoKAg9O/fH6dOnfLiahAREVFtdPBCNgCgWb0QRAQFKBxNzZGdsDx48CAyMjLw8ssvw2g0YsaMGYiNjUXPnj3xyiuveBRMbq59E9Ho6GgAwL59+2A2m9G/f3/pmNatW6Nhw4bYuXMnAGDnzp1o37494uPjpWMGDhyIvLw8HD16VDqm9HWIx4jXcSOj0Yi8vDynf76kZOBO1ZOjpApLFbVsSi3hFSQsIx2DeHKL1TPZnEiO0gk8V6c+q62tOiPPAABIjKg4YSk+v7DC0jOuDmgC1FuR62tKDy1ydWsVmwBpOBLVjOzsbPTq1QsBAQH43//+h2PHjmHhwoWIiopyOm7QoEFIT0+X/n399ddO548YMQJHjx7Fhg0bsGbNGmzbtg3jxo2Tzs/Ly8OAAQPQqFEj7Nu3D++88w5ef/11fPTRR9IxO3bswPDhwzFmzBgcOHAAQ4cOxdChQ3HkyBHpmAULFuC9997D8uXLsXv3boSEhGDgwIEwGAxeXRcmzqmu4n2fiGqrA2k5AIDODaMqP7CWkd0SDgCRkZG455570KtXL/Ts2RM//vgjvv76a+zevRtvvfWWW4HYbDZMmjQJvXr1wk033QQAyMjIgE6nQ2RkpNOx8fHxyMjIkI4pnawUzxfPq+yYvLw8FBcXIyjI+Q33vHnz8MYbb7j1e6iBq3vjAaX3sFTPm9s8RyIysoJPDsRPFAqMFpitNgT4ubUVK5FiCkvtjafVVr6dhpikKlbZ4Jqr+fahV/XCKp5WKlZws8LSM3Ke09VaketrihxrrtUAgQGV/40pXYFZaLSUOyyOqsf8+fORnJyMFStWSKc1adKkzHF6vR4JCQnlXsfx48exbt067N27F127dgUA/P3vf8edd96Jd999F0lJSfjyyy9hMpnw2WefQafToV27djh48CAWLVokJTaXLl2KQYMGYerUqQCAOXPmYMOGDVi2bBmWL18OQRCwZMkSvPrqq7j33nsBAF988QXi4+OxevVqPPLII+XGZzQaYTSWDBms7EN0Pz/7fc9kMpV5bUtUFxQVFQEAAgLqTvUREVUTUyGwZgpw9HvAWoOdnaZSH7xc2Au07gsA2J9mr7Ds3DCy5mJRAdkJy++//x5btmzBli1bcOzYMURHR6N3795YuHAh+vTp43Yg48ePx5EjR/D777+7fR3eMn36dEyZMkX6OS8vD8nJyQpGJI+r+24BpVrZzOp5c5tnsCcsKyp1Dg8s+b3yis2ICa04YUKkRrI+VAhQ5+AaVxKWrLD0DmkPS1dawsWKXK65R6THqM6/yj26/bQa6P21MFpsKDJZEVMTARIA4KeffsLAgQPx4IMPYuvWrahfvz6effZZjB071um4LVu2IC4uDlFRUejXrx/efPNNxMTY/6d27tyJyMhIKVkJAP3794dWq8Xu3btx3333YefOnbjtttug05V0fgwcOBDz589HdnY2oqKisHPnTqfXjuIxq1evBmDfTz0jI8Op4yciIgLdu3fHzp07K0xYyvkQ3d/fH8HBwbh69SoCAgKg1fIDXaobBEFAUVERMjMzERkZKSXviYjcYrUA/7wfuLBL6UgAAFabgEMX7N3InZNZYVmpp59+GrfddhvGjRuHPn36oH379h4HMWHCBKkFp0GDBtLpCQkJMJlMyMnJcaqyvHLlivRJeUJCAvbs2eN0feIU8dLH3DhZ/MqVKwgPDy/3E2i9Xg+93neTYHISltKwABUlQ8RW7/AKEpb+flqE6f2Rb7QglwlL8kFi8tGlDxVUmvS7VuBIWFby+AvilHCvKJCzzYf4IZSRVa2eKNlaxbWXSSF6fxgtJla21rCzZ8/iww8/xJQpUzBjxgzs3bsXEydOhE6nw6hRowDY28Hvv/9+NGnSBGfOnMGMGTMwePBg7Ny5E35+fsjIyEBcXJzT9fr7+yM6OtqpU+fGys3S3TxRUVEVdvOUvo7SlyvvmPLI+RBdo9EgMTERqampOH/+fIXXSVRbRUZGVlhNTUTksn0r7MlKfQTw0OdA/E01d9uFhcA8x2uOpE4AgNOZBSgwWhCs80PL+NCai0UFZCcsMzMzvXbjgiDgueeeww8//IAtW7aUeTHYpUsXBAQEYOPGjRg2bBgA4MSJE0hLS0NKSgoAICUlBW+99RYyMzOlF5wbNmxAeHg42rZtKx1z48bnGzZskK6jtnGvJVw9b7Lyiu3xhwdVHH94UICUsCTyNXL2JAxS6eCaqwUuVFhKFdzqit3XFPr4c7ovEh9vwS48RgF7K35Wobq2V6kLbDYbunbtirlz5wIAOnfujCNHjmD58uVSwrJ05WL79u3RoUMHNGvWDFu2bMEdd9yhSNxyyP0QXafToUWLFtLgSaK6IiAggJWVROQ5mw3Yucz+fb9XgWa31+zta4JLvvezF3AdcLSDd2gQAf86th2eW3tYWq1WrF69GsePHwcAtG3bFvfee6/sPxLjx4/HV199hR9//BFhYWHSJ8wREREICgpCREQExowZgylTpiA6Ohrh4eF47rnnkJKSgh49egAABgwYgLZt2+Lxxx/HggULkJGRgVdffRXjx4+XXuA9/fTTWLZsGaZNm4Ynn3wSmzZtwrfffou1a9e68+urnlst4Sp6kyUmISubfhUZHIBLOcXIYcKSfJCUDHGhxVdsA1ZbhaXYEh5baYWl+iq4fVGRnOd0aUq4ep7TfZGcv6MA9w5VSmJiovThtKhNmzb47rvvKrxM06ZNERsbi9OnT+OOO+5AQkJCmQ/jLRYLsrKyquzUEc+r7JjS54unJSYmOh3TqVMnV39ll2i1WgQGBnr1OomIiOqE89uB7HOAPhzo/JjS0QAAdp29DgDo0qhutYMDbkwJP336NNq0aYORI0fi+++/x/fff4/HH38c7dq1w5kzZ2Rd14cffojc3Fz07dsXiYmJ0r9///vf0jGLFy/GXXfdhWHDhuG2225DQkICvv/+e+l8Pz8/rFmzBn5+fkhJScFjjz2GkSNHYvbs2dIxTZo0wdq1a7FhwwZ07NgRCxcuxCeffIKBAwfK/fV9grh3mWvVW+KbW/W8yRL3sAwPrDhhKSYz81SesCwyWXA8PQ82m29NLbRYbfj33jR8+nsqzFbfmnr767EruOvvv2HOmmOwqnTd5W3boL4KS5tNwPUCe/WOSxWWKnp+8UViS7grCW5xz1OuuWfE9QtycYBOsAr/ltYFvXr1wokTJ5xOO3nyJBo1alThZS5evIjr169LScOUlBTk5ORg37590jGbNm2CzWZD9+7dpWO2bdsGs7nkNceGDRvQqlUraSJ5SkoKNm7c6HRbpbt5mjRpgoSEBKdj8vLysHv37lrb8UNERORzDn5l/9ruPkAXXPmxNUAQBGw/Y09Y9moeq3A0NU92heXEiRPRrFkz7Nq1C9HR0QCA69ev47HHHsPEiRNlVS0KQtXJhMDAQLz//vt4//33KzymUaNGZVq+b9S3b18cOHDA5dh8mZyWcF+usASAnCL1JiyvFRhx3wfbcSGrGH1a1sOK0bdUORFaLd5ZfwL/2HoWAHD+eiFm31uD+3Z44FJOMcZ/tR9Giw1HLuWhab0QjOhe8RtXpRTI2B9PTFgazDZYbQL8VHAfyik2w+JIBseE6io8LliFzy++SJwQL65nZcT7lNGinvuLLyo2i0li11vCAd7Xa9rkyZPRs2dPzJ07Fw899BD27NmDjz76CB999BEAoKCgAG+88QaGDRuGhIQEnDlzBtOmTUPz5s2lD63btGmDQYMGYezYsVi+fDnMZjMmTJiARx55BElJSQCARx99FG+88QbGjBmDl156CUeOHMHSpUuxePFiKZbnn38effr0wcKFCzFkyBB88803+OOPP6RYNBoNJk2ahDfffBMtWrRAkyZN8NprryEpKQlDhw6t2YUjIiKisqwW4C9HPqvjcGVjcTidWYCr+Ubo/bW4uSErLKu0detWLFiwQEpWAkBMTAzefvttbN261avBkXuKSk03rYra9jsTBEGqmqxo6A5QksxU8x6WH2w+gwtZxQCArSevYv2xK1VcQh1yikxYuf2c9PNXu9OQkWtQLiAZvt6dBqOlpCL0099TXfpgpKYViy3hLlRvla6qE5MoShPbwaOCAxBQyT4qrDrzDnE7AFeSZ6WPYfLMfQbHYy3I5YQl7+tKuOWWW/DDDz/g66+/xk033YQ5c+ZgyZIlGDFiBAB7F87hw4dxzz33oGXLlhgzZgy6dOmC3377zWlfyC+//BKtW7fGHXfcgTvvvBO9e/eWEo2Afaui9evXIzU1FV26dMELL7yAmTNnYty4cdIxPXv2xFdffYWPPvoIHTt2xH/+8x+sXr0aN91U8oHftGnT8Nxzz2HcuHG45ZZbUFBQgHXr1rF9m4iISA0yDgHGXPuwneRuSkcDANh26hoA4JbG0Qh0sfOnNpFdYanX65Gfn1/m9IKCAuh0FVfaUM2RWtlcqcZxvMkqVMmbrAKjBWIXb2UVlhFB9vuaWissLVYbvtt/EQDQNjEcx9Lz8J99FzDoJvVPLlx3JANGiw1tEsMRrPPDvvPZWHckHaN7Nan6wgr79bg9Kfzm0Jsw+7/HcPZqIU5nFqBFfJjCkTkrlpEMCQzQQqMBBMGegHJ1T73qJCYsK2sHB1h15i3i/cWVFyl6fy20GsAm2P8WhFWytQZVTPw76uoLQ2nrBk5nr3F33XUX7rrrrnLPCwoKwi+//FLldURHR+Orr76q9JgOHTrgt99+q/SYBx98EA8++GCF52s0GsyePdtp2yIiIiJSibTd9q+NUgCtOpKDvxyxz3np26qewpEoQ3aF5V133YVx48Zh9+7dEAQBgiBg165dePrpp3HPPfdUR4wkU5GMVjbxmGKVJBTyDPY4dH5a6P0rvnuqvcLywIUc5BabERkcgHce7ADA/umI2ganlGfLiasAgEHtEjDYkWDd5DhNzXKKTDhxxf5hyoB28ejRLAYA8Pvpa0qGVS45HypoNBqpElMtw2uuF1Y9cAcAgvWsOvMGOfspajQa6YMorrv75FS1AiV7RvvCczwRERERlSP9oP1r/S6KhiHKzDNg7/ksAMDg9olVHF07yU5Yvvfee2jWrBlSUlIQGBiIwMBA9OrVC82bN8fSpUurI0aSySCnfdCRUChUSSIkt0hsB/eHRlPx3mviHpa5xaYaiUuuHaftG+Pe2qIe2iaGIyE8ECaLDYcu5igbWBUEQcDec/Ynxd4tYpDiSPrtP5+t2gE2or3nsiEIQNN6IYgLC0T3JtGO07MUjqwsKRniavWWyhJ/WYX2x11USOVV9Zyc7B0GmfspBrHaz2NSS7iLj9GgAHV1KxARERGRTJcdM0+SOisbh8PPf6ZDEIBOyZGoHxmkdDiKkN1bGBkZiR9//BGnTp3C8ePHodFo0KZNGzRv3rw64iM3yGllkyosVbI3njQhvJJ2cED9FZb707IBAF0bRUGj0aBr4yisOZyOP85loUfTGIWjq9iFrGJcLzRB56fFTfUj4K/VIkzvj3yjBSev5KNNYrjSIVZoT6o9SSwmKsVNif+8lKtYTBWR0xIOqK+1OtvxwUJUcOWPU7XF7auk53SXq/38gXyjap7XfZHcKeElFZa8rxMRERH5HGM+cO2U/fvEToqGIvrnrvMAgAe6NFA4EuW4vRlaixYtpCRlZZVwVPNKppu6MHQnQF2VOGICMryKfdfUnLAUBAGHHZWUnRtGAgA6NojEmsPpOJ5edv9XNRGTe20Sw6D3t983WiWE4Y/z2apPWB65lAegJFHZKsG+b+WFrGIUGNWx96NITks4oL6BHrlF9grLyKCqKiwdcaukgttXSc/pLlf7qet53ReVfKjg2vOGVNWqkscoEREREcmQfhiAAIQ3AELVsV/k5RwD6kWFM2Ep16efforFixfj1Cl7BrpFixaYNGkSnnrqKa8GR+4pllEZEuJI4hgtNlhtAvy0yiafxQnhlQ3cAYCwQHvc+Qb1vSG/XmhCdpEZGg3Q0jHspUV8KABIeyyq1enMAgAlcQNAS0fC8kSGymO/ao9dHLATHaJDvTA9ruYbcepKPjo7EplqIHd/PLVVKooVlpFVVFiGiHGbrRAEgR9uuckgM8HN/RQ9V/J31LWdc8R9Q7nmRERERD5Iagfv5PFVbT15Ff/cec6ty5qNxU4/P92nWZ2cDi6SnbCcOXMmFi1ahOeeew4pKSkAgJ07d2Ly5MlIS0vj5EMVKDLbkxquvLktnTApNlsVr0KTKiyrTFjazy9QYcLy1BV74iw5Klh6chGr/VKvFcJosUrVi2pzKtOelGweFyqd1sqRADyp4mRrbrFZmlzdrF6IdHqr+DBczTfipNoSltL+eK493tS2F2S2o8IyKrjyCkvxOchqE2C02Or0H1tPFMndT1HH/RQ9JadTAShdYam+v0lEREREVAVx4I4XEpaXsovx6/FMty5rMxmk7/u1icMTvRp7HI8vk52d+vDDD/Hxxx9j+PDh0mn33HMPOnTogOeee44JSxUoNtkAuFa9pffXQqsBbAJQpIK2WXFKeERQ5XGIcRaYLLDZBGgVrgwtTar0K5X0SwgPRFigP/INFqReK0TrBHW2VosVlqUTlmK1pZqrQ8W4EyMCpWQ2YI/999PXcCKjQKnQyiW/JVxd7aY5LlZYlk72FJusTFi6qVhuhaW4NzGTZ24rlrtvqMq2bSAiIiIiGbw4cKdbk2i8fX97ty5rKC7CE4vt3//9kc7w95M9J7tWkZ2dMpvN6Nq1a5nTu3TpAouFb47UQHyT6ko1jkajQbDOHwVGiyreaOW5uIel2BIuCPaKlrAqjq9Jp6+UrVLUaDRoGR+GfY7WajUmLK02AWevFQIAWsSVagl3tLNfyCpGodEibSOgJqfLqQwFgFYJ9p/VVh0qPkZdbQkvaTdVx3NsTrFjD8sqKiz9tBro/bUwWmwoNFmqnCpOZYnVqYCcCkt1Jbh9kdyqVrVt20BERERELjLkAtdP279P9Dxh2TwutMz7UlcVFhbiCcf3airKUorsdO3jjz+ODz/8sMzpH330EUaMGOGVoMh9giBIb7Tk7o+nhlY2V/ew1PtrEeBnfwCrbR9LscLyxicpMfEnVgOqzYWsIpgsNuj9tagfFSSdHhOqR7Qj0ZTqSGiqjbimzeo5r3mTWPvP57PUFXex7BZfcYiKOhJQOYWuTQkHSvbJ5d5+7jGUmvTtansyq/08Z3B7n1muOREREZFPST9s/xrREAiJUTYWcuL20J3169ejR48eAIDdu3cjLS0NI0eOxJQpU6TjFi1a5J0oyWVGiw2CYP9ebrupGhIKeQbX9rDUaDQICwxAVqEJBSqbhHsm054ca3ZDwrJRjH1vxQtZRTUekyvEZGST2JAyw5eSo4KQVWjCxexi3FQ/QonwKnXuun1Nm5bavxIAGjgSr+k5BlisNtWU1MttCZeSfmblH6Nmqw35jsdcVRWWQKmJ1Sp4fvFFpRNgen/X7r9S8kxlz42+RHysubqNgfgYLVLJhwpERERE5KLMY/avCe61cVP1kZ2wPHLkCG6++WYAwJkzZwAAsbGxiI2NxZEjR6TjOA1WGaWTjr44oCHXxZZwwL6PZVahCfmOJKcaGC1WXMm3b5TbMDrY6TwxeXYhu7jM5dTgYo49rgZRwWXOaxAdjEMXc3ExW53J1kvZYuxBTqfHhwciwE8Ds1VARp6h3N9NCXKnhEtJPxUkoMTHKFB1JTRQMrGarbLuMZSqxnW1LUSsxCxSQYLbVxXJfYyqqFOBiIiIiGS4+pf9a1xrZeMAEBISAkGsQCP5CcvNmzdXRxzkJeIbVJ2f1uVqMjUNaMgrFofuVJ0IEfexVFNLeHqOAYIABAZoEXPDfn3JjmSZWpN+Ylw3Jv2A0rGrM9l6yZFsrR/pnJD002pQPzII564X4UJWsSoSlmarDRab/Y9QsItTwsWknxqqoHMcE8LDA/3LVOKWR/xAhJVn7pG2D3AxcQawwtIbDHK3bXAcZzTbqi0mIiIiIqoGmY6EZT3lE5bkTB39keQ1cqfJlj5WDfvjSRWWVUwJB9SZsCxJnAWVqTJOdlRcXskzOu1LpxYVVSmWPk2N7ez5BrN0v6lfXrI1Wl2J4tItvoE6156CS6qglb+vZzsmhLs6QEf8QITVfu6Rtg+QMWE9iPspekQQBKki2NW/peL/j8lqg8XKpCURERGRTxAE4Opx+/dMWKoOE5a1TLEbb25DVNQ+KLZ3u9YSbj9GTXtYllQplq3kiwoOkCqfxMSmmlzKqThhKSb9Lqgk6VeaGHdkcABCy5lgLv5fqKUVX3yM+mk10MmsglZDAiq70LUJ4SJW+3nGnQ+hpH2JVfCc7otMVhtsMveCLn0c152IiIjIRxReBYqzAWiA2BZKR0M3YMKylimWOSG89LFKJxSsNkHaRzM0sOoKy3CpwlI9e1iKVYrlVfppNBpVt1aLMd3YVg3Yh+6Ix6htTw1pzSPLrjlQkoC9qJLqUOkxGuDn8l6/wSqa+pzjqGaNdGHbBkBdsfuiYrOj0k/Gh1BqGqTmiwymkgpJV9dd76+F+HBmwpKIiIjIR4j7V0Y1BgLKfz9JymHCspYR29hcnWwKAMF6dVRvlW53La9S7kZiUrNARS3hFytpqy59utpaqw1mK67mGwGUn2xNciQDi0xWZDkq7NSidBt+eaSWcJVUtUqPUXc+VFBBAkrcwzIq2LWEpZjwYRLHPcWO5JmcCkvx+V8N9xdfVORIEvtrNQhwsQpao9FI9/XSCU8iIiIiUrHr9kHSrK5UJyYsaxm504ftx4oVUMom/sQJyP5aDfT+Vd81xT0s89SUsKwieSYmAy+rJHkmSs+1TzYP1vmVm4gKDPBDbKgeAJCRZ6jR2KpSsvdm+QN1EsIDAQCZKonbnceomKxSw96n4h6WrraEB7HazyPFMoe/ACXP6UwSu8edNnyg5P9ITHgSERERkcplp9q/RjdVNg4ql+wp4QBw+fJl/P7778jMzITN5lxJMHHiRK8ERu7xaKKswgkFsVIyNNDfpVZZNe5hebmSfSABIN6RPLuSZ6yxmFyR7og7MSKwwrWPD9fjWoERV/IMaJcUUZPhVUpMtiZFBpZ7fnx4SaJVEASX27CrizsJKCkRooKhO2KFZaSrFZbcT9EjxSa2hNc0dx6jgOO+Xsh1JyIiIvIZWWftX5mwVCXZCcuVK1fib3/7G3Q6HWJiYpze/Gs0GiYsFebORFm1JCzzHYlHV9rBgdJTwtWxh6UgCMh0tFXHhZWfPJOq/fLVUe0nEuMWE6rliQ8PxNHLeapLtoprWS9MX+754u9kMNuQZ7AgwsW9F6tLkRvVW2qqUswRp4S7WmHJlnCPuLMvcaCKEty+yJ0qaID3dSIiIiKfk8UKSzWTnbB87bXXMHPmTEyfPh1aLTvK1ca9dlN1tYTLTViqpcIyr9gCk8VecVxV8uyKStqTRVUl/QD1xi7uvVlR7IEBfogICkBusRlX8gyKJyzdeoyKe+OZld8bL1tuhWWAepKtvkhMcLuz5ykTZ+4R103OXtCAurZuICIiIqIqCEJJhWVUE2VjoXLJzjgWFRXhkUceYbJSpUpawl3PRZdUhSibDJFawmVXWKojYXm1wJ7ICw/0r/CNrtSenKvOpF9cpQlL+3lqTVj6Suwl7abyH6Mmqw0Wq7KP0xzuYVmjSk+Vd5WYsDRbBZgVvr/4IneqoIHSWzfwvk5ERESkegVXAHMRoNECkQ2VjobKITvrOGbMGKxatao6YiEv8KQl3KCWlvBA1xI50h6WKklYZuZVXukHAHGOKsU8g0VVCZzMKqoUAXXuv2kwW6WhS/UqaMMH1BW7Jy3hgPJVc+IHBOEuPk7ZJusZgxv3l9IfmHDd5TO40YYPMDlPRERE5FPE6sqIZMDftWIMqlmyW8LnzZuHu+66C+vWrUP79u0REODcFrho0SKvBUfyiQMa3Gk3VfqNrdgSHiKzwlItU8Kr2r8SsCd5ggL8UGy2IjPfgEYxITUVXqWuuhB7ggpbwsW4df7aShNoampnlx6jMj5U0PtrodHYuxaKzVaEBSrX1p7n2DM23MXWeiZxPONOglvvr4VWA9gEe8IzXMH7iy8qduODv9LHsyWciIiIyAdw/0rVcyth+csvv6BVq1YAUGboDinLnSnhahnQIFZKhrmYsBRbxwuM6hi6IyX9wiuuUtRoNIgP1+Pc9SJk5KonYelKhWWcitqqRZml2sEre/5RZUu4jMeoRqNBcIAfCk1WRRN/Npsg7RkbxgrLGuHOxGqNRoNgnT8KjBa2J7tB2jfUzYQl7+tEREREPoATwlVPdsJy4cKF+OyzzzB69OhqCIc85VFLuNJ7WJrkVViKVUMGsw1mqw0BfsruqyoNrgmtOOkH2NvCz10vwpV85duTRZmORF7l+0DaqxSvFZhUsd5A1QN3RGJ1qBr2DnV7fzydI2GpYDKkwGSBINi/d7VqL4gDYDzibrVfYIAfE5ZucmcyO1ByX+eaExEREfkAJixVT3bGQa/Xo1evXtURC3mBO3tvqSWhIHfoToi+5HdUwz6WmS5UWAIlybNMFVT7Ac77QFbWEh4drIO/1l7FeK1AHcnWq/lVJ1qBkoTm9UJTtcdUFWlKuBsJKEDZZEhesb2aWeendbn6jFPCPeNORS7ASeGeMLhR1Vr6eK45ERERkQ+QEpacEK5WshOWzz//PP7+979XRyzkBW4N9FBLS7jMVlN/P630plwNk8Jd2QcSAGIdFZjXCpRPngE37AMZVPHaa7UaRIfYNyO+rrLYq6qwjHGs+XUVJFo9TUApORwrr9gxcKeS+8mN1PKBiK9yp2oeKJWwZKJYtpK/o/KaUIJU8BglIiIiIhdln7N/jWLCUq1kJyz37NmDzz//HE2bNsXdd9+N+++/3+mfHNu2bcPdd9+NpKQkaDQarF692ul8QRAwc+ZMJCYmIigoCP3798epU6ecjsnKysKIESMQHh6OyMhIjBkzBgUFBU7HHD58GLfeeisCAwORnJyMBQsWyP21fYY7b26DSrWE22xCtcTlCrlDd4CSasx8Fexj6co+kAAQEyom/ZRPngHAVUcc9UIr3wcSKJX4U0GlIuDaoCMAiFFRotXtlnAVVG/liwN3ZAxxYYWlZ0qq5uUlz9SyN7EvcmffUIAt4UREREQ+ozgbMOTYv49qrGQkVAnZCcvIyEjcf//96NOnD2JjYxEREeH0T47CwkJ07NgR77//frnnL1iwAO+99x6WL1+O3bt3IyQkBAMHDoTBUNJKO2LECBw9ehQbNmzAmjVrsG3bNowbN046Py8vDwMGDECjRo2wb98+vPPOO3j99dfx0Ucfyf3VfYI7b25LvykzWpTbxzJfZks4UFKNqYYKS1f2gQRKJc/UkvTLcy3RCgCxaku2upokDrGfn2+0KD7BV2oJ98H98cStA1ytggacKyyV/EDEV5VU5Mr7c82WcPdJ+4bKXHM1fKhARERERC4QJ4SHxgO6YGVjoQrJHrqzYsUKr9344MGDMXjw4HLPEwQBS5Yswauvvop7770XAPDFF18gPj4eq1evxiOPPILjx49j3bp12Lt3L7p27QoA+Pvf/44777wT7777LpKSkvDll1/CZDLhs88+g06nQ7t27XDw4EEsWrTIKbFZWxS58Uar9F50xWar7MovbxFbwkNlJENCHZVeSu9hWXofSF9qTwZc3wcSUFelIlBSHVpV7OFB/vDXamCxCcgqNCEpMqgmwitXSfWWzHZTFSRDpArLIPkVloD9AxGlnl98lccTq1ntJ1uxuy3hAWK3AteciIiISNWyHQlLtoOrmltjfi0WC3799Vf84x//QH5+PgDg8uXLZVqxPZGamoqMjAz0799fOi0iIgLdu3fHzp07AQA7d+5EZGSklKwEgP79+0Or1WL37t3SMbfddht0Op10zMCBA3HixAlkZ2eXe9tGoxF5eXlO/3xFSUu462+0/LQa6P21jssrl/gTW8LlVFiGOgbvFCrc9lh6H8iIKpI5Yku42vawdKXCUky2XitUR7LV1epQjUYjrXuWwpWtnkwJB5RNhohDd2RVWN7wgQjJYzC51xKuhopcX+VpSzjv50REREQqJ+5fyYE7qiY7YXn+/Hm0b98e9957L8aPH4+rV68CAObPn48XX3zRa4FlZGQAAOLj451Oj4+Pl87LyMhAXFyc0/n+/v6Ijo52Oqa86yh9GzeaN2+eU5t7cnKy579QDXFnSjigjmRIgRsJyxDHm3jxskqR9q90YR/IWEd7stKJM5Gr+0ACUNXQHZtNkKaVu5RsDRGHHSmbbC12JNdlP0YdH0IomYASt16Qs4elViUfiPgiQRBQ5GbyjC3h7it2c9BRyQA7rjkRERGRqmWxwtIXuDUlvGvXrsjOzkZQUElb5X333YeNGzd6NTilTJ8+Hbm5udK/CxcuKB2SSwRBkBICbg/0MCm3h6U7CUvx2EKFE5ZilWKsS1WK9qRfsdmqigROSey6Ko5U1x6WOcVmWBx7IoqT1ytTMuxI2WSr+9Vb9qdrJVt88wzyKywBdXwg4ovMVgFWx33c/ed0rrlcxR5+8Mc1JyIiIlI5aUJ4YyWjoCrI3sPyt99+w44dO5xarAGgcePGuHTpktcCS0hIAABcuXIFiYmJ0ulXrlxBp06dpGMyMzOdLmexWJCVlSVdPiEhAVeuXHE6RvxZPOZGer0een3VCRC1MVpsEGdauNtuqlQCzWy1wWC2J0tlVVjqxQpLZd8gitWSsSFVJ/2CdX7Q+2thtNhwvcCE4GjZD0Ovyiqyxy5WIFYmRkXVoWIM4YH+CPCr+rOXWGnCudIVlu61hIstwcruYSm/whIAggP8kAOzoh+I+KLS/9fyE9zK3198lbhm7u4bysQ8ERERkcqJFZZsCVc12RWWNpsNVmvZF+MXL15EWFiYV4ICgCZNmiAhIcGpajMvLw+7d+9GSkoKACAlJQU5OTnYt2+fdMymTZtgs9nQvXt36Zht27bBbDZLx2zYsAGtWrVCVFSU1+JVA4Mnb24VHuhRukIyxI2EpdIVltmOpF+0CwlLjUYjJc+Ubk8GShJ/rsSupv035cQNqGdgkJiYl/sYDVRBxVyeG0N3ACBQ4Q9EfJX4f+2v1UDn796UcLYny1ds8rDCkglLIiIiIvWyGIE8R7EdW8JVTXbCcsCAAViyZIn0s0ajQUFBAWbNmoU777xT1nUVFBTg4MGDOHjwIAD7oJ2DBw8iLS0NGo0GkyZNwptvvomffvoJf/75J0aOHImkpCQMHToUANCmTRsMGjQIY8eOxZ49e7B9+3ZMmDABjzzyCJKSkgAAjz76KHQ6HcaMGYOjR4/i3//+N5YuXYopU6bI/dVVT3xjGuCncanirDSlK0PEdnCdv1bWG3Np6I7CCUvZyTOVtCcD8mIvXaUoCEK1xlUV+WsuJomVW3OrTYDJak9Yuj31WdGhO/bHmeyWcBXE7ovc3T6g9GWKmSSWTVp3N9vwmSQmIiIiUrGcNAACoAsFQmKVjoYqIbsXdeHChRg4cCDatm0Lg8GARx99FKdOnUJsbCy+/vprWdf1xx9/4Pbbb5d+FpOIo0aNwsqVKzFt2jQUFhZi3LhxyMnJQe/evbFu3ToEBpYMB/nyyy8xYcIE3HHHHdBqtRg2bBjee+896fyIiAisX78e48ePR5cuXRAbG4uZM2di3Lhxcn911fPoza3C1ThiwjJMRnUlULol3McSlmK1n8LtyWarTWrzlVNhaTDbUGSyyqqG9TY5Va1AqSSxgmvuSRV0sAr2x8sXKyzltoSrIHZfJFakBspMnAGs9vOE20N3uFcrERERkfpJA3caA1UMzCVlyc42NGjQAIcOHcK///1vHDp0CAUFBRgzZgxGjBjhNITHFX379q20Skuj0WD27NmYPXt2hcdER0fjq6++qvR2OnTogN9++01WbL6opI1NfhJJ6QoosUIyVGblllpawsWEZZTMar/rCu8Fme24fa0GiHChzTdY54+gAD8Um624XmBSNGEpN0kcq4Kq1tKPL73MFl+lH6MAkGdwr8IyUAWx+yKDm8NfSl+G1X7y2GyCxxWWZqsAs9Umu9OBiIiIiGpAdqmEJama7GzDtm3b0LNnT4wYMQIjRoyQTrdYLNi2bRtuu+02rwZIrityc5hH6csoVQElVvmFyEy2lkwJV8fQnRgf209RHLgTGayDn9a1T5diQnW4mF2Ma4VGNIwJrs7wKiU3SRytgoFB4uMrMEALrYvrLQpUQZVivpt7WKoh2eqLitys9Ct9GVa1ymO0lAyGcrfCErDf15mwJCIiIlIhcUI4B+6onuxX07fffjuysrLKnJ6bm+vU3k01zzv7nSnbEu5uhaVaWsJdr7AUE5bKtoRnFcirUgRKVYcqnWwVKyyD5SWJrxUot/+m0eLe9GHAPmkbAIp8cA9LtoS7x92J8qUvwySxPKUHQ8l9nOr8tBA/hzDwvk5ERESkTlJLOBOWaic7YSkIAjTl9Plfv34dISEhXgmK3CMOV/DFN7dSS7jMFmNp6I7CgyXkV1iqoyVcrLB0NekHlPyOWQrvv+nuoCOjxYZChZIJxSb3JoQDpfbHUyh2g9kqDQySXWHJhKVbfPlDKF8lrrneX+ty1blIo9GwmpiIiIhI7dgS7jNczg7df//9AOwvyEePHg29Xi+dZ7VacfjwYfTs2dP7EZLLikzu73em9JusAkdLt9w9EdWwh2WxySqtm9wKSyUnVgMle1hGhbiegCqpVFQ4dplDd4J1/gjW+aHIZMW1fKPs5Lg3eGUwllmZ+3qeox1cowFCZW7dwD0s3ePu8BegZC9jrrk8Bjf3rxQF6fxRWOpvAhERERGpiM3GlnAf4vK7zoiICAD2CsuwsDCnATs6nQ49evTA2LFjvR8hucyXq3FKKizlxS7uealkS7hYpRjgp3F5ynms1FatbJXidalKUV/FkSXU0hIu3r6rSWLAntwsMhUju8iExqj5inDxMepOS3jJY9RWxZHVQ9xnNlTvL3v/TQ6AcY+7w19KX4ZrLo/0wZ8bj1EACNJpna6HiIiIiFSk4ApgMQAaPyAiWeloqAouJyxXrFgBAGjcuDFefPFFtn+rkC/vdya2dMudcC5WyRnMNlisNvgrMORAqlIM1pW7XUJ5xCRbdpGpwm0WakK2lLB0vcJSPDanSB0Vlq624QP2hOXF7GLpsjXNo8eoI4FiUOgxmlfsGLgTKK8dHFA+dl/l0dAdtuG7pWQwlpsJywBlt24gIiIiokpcP2X/GtkQ8JP/voZqluzszrRp05ySK+fPn8eSJUuwfv16rwZG8nnUEq7wm9siD1vCASi2L+F1mXspAkBUsP3J0WwVFIsbcK/CMsqx32WWgglLg9kq3d/lVFhKsReaqyWuqpQM3ZGfWC+pUrQoMjRIrLCUO3AHYEu4uzxpTxYrBE1W+4c55BpPqqAB5bdXISIiIqJKXDtp/1qvlbJxkEtkv2u+99578cUXXwAAcnJy0K1bNyxcuBD33nsvPvzwQ68HSK7zSrupwkN3QmS+Mdf5a6FzVFUqtY9lthsJy6AAP+j9tU6XV0LJPpByKiwd1aEKxi0O3JHThg+UJIqVit2TPQkDHY8NmwBp+E1NEhOW7lRYipXTbJOVx+CFPU8BJs/kMJgdg7Hc3sOSCUsiIiIi1brqSFjGtlQ2DnKJ7ITl/v37ceuttwIA/vOf/yAhIQHnz5/HF198gffee8/rAZLrPHlzG6xwhaXYEi63wtJ+GcekcIUSlnKnVQP24VXRpdrClSJWGsqqsAxRvsIyy402fED52L3xoQIAGBTYx7LAaL+vhLpRYSnu68eWcHmkidVu3F/0/lqIDw22hbvOkypooORxyuQ8ERERkQpdO2H/ygpLnyD7FXlRURHCwsIAAOvXr8f9998PrVaLHj164Pz5814PkFznScJS6ZbNQqklXH7sYpJTqcE77iQsASBSak9WMvFnH/oTHSxjH8hgscJSmbZqwP01L4ld2YSlO4/RAD8tAvzsGSglJoWXHrojl9JDvXyVVO3nxv1Fo9FIbeGs9nOdtIelv2cVlkzOExEREakQKyx9iuyEZfPmzbF69WpcuHABv/zyCwYMGAAAyMzMRHh4uNcDJNd5Y6CH0kN3QmQO3QFKEihi0rOmZRW5mTyThtcok/gTBEFKOkbJaAkXqxQLjBapGqmmZbu55lKFpUIJS4MHj1Gg1AcLCiT+xA8E3KuwZEu4O0oqct2s9uO6y2bweA9L+5ozOU9ERESkMoY8IP+y/XsmLH2C7HdBM2fOxIsvvojGjRuje/fuSElJAWCvtuzcubPXAyTXidU47rQPinvMKdYSbvSkJVzhCssC36ywLDBapL0QY2S0hIcH+sNPa6/0UyrZet2x5nIG7gAl/0dKxW2w2Nfb3WRIsIL743kydIdTwt1j9KAiFyhpxWfC0nWePka55kREREQqJU4ID40HgiIVDYVcI/ud5wMPPIDevXsjPT0dHTt2lE6/4447cN9993k1OJLHk3ZT8U2W8i3h7icsFdvDsqhkP0U5xPbkHIX2UxSrKwMDtLIq/jQaDaKCdbhWYERWoQnx4YHVFWKFpApLmWuu9IRzqd3U0wnESlRYiglLT1rCmbCUxdOJ1cGOaj8mil1n8LSqlcl5IiIiInViO7jPkf2KfMWKFYiIiEDnzp2h1ZZcvFu3bmjdurVXgyN5PElYKtlqCpRuCZcfe6g4dMfkO1PCAeUHwGS7mWgFStrZldoLsiR2eROrlZ5w7sljFChp8VUi8Se1hLuTsNRxEIk7xKp5dxOWgVx32TxNEjM5T0RERKRSHLjjc2QnLF9++WXEx8djzJgx2LFjR3XERG6Shu7o5FeGiC3hRosNVpvg1bhcUeRJhaVO2ZbwnGJ7pWKkzOSZmGzLVqg9WUz6RbqRsFS6UlFcM7mxi3t1ZheZYFPgfl6SsHS3eku5dtN8aQ9LefdzoCRhySSOPJ5W+3HojnxGKUns2b6h3MOSiIiISGUyj9u/xjJh6StkvyK/dOkSPv/8c1y7dg19+/ZF69atMX/+fGRkZFRHfCSD9ObWjemmpSu+arqVzWSxSXspujN0R8mWcEEQpJZuuckzpav9xH0c5VYpAsrHnlskf1gQAEQG2eO2CUCeoeYTxdKehG4O3VFyAnG+Y7082cPSpNAHIr7K04pcac9TharPfZHB0ypo8UMFJomJiIiI1CX9sP1rYgdl4yCXyU5Y+vv747777sOPP/6ICxcuYOzYsfjyyy/RsGFD3HPPPfjxxx9hs9mqI1aqgtTK5kYyRO9fcleo6WqcolJvpoP17rSEKzclvNBkhdlqT8DITfwpPXQnx4OW8JLYFa4ODZIXu85fK+3BqMS6e95uqlz1lid7WAaXek5itZ/rjGwJr3EeTwkXP1TgmhMRERGpR+E1x4RwDRDfTuloyEXu9Tw5xMfHo3fv3khJSYFWq8Wff/6JUaNGoVmzZtiyZYuXQiRXFZvsb27dqQzRajVSC1xNJ0PEVm6dvxYBfvLvkkpOCRcrDHX+WtnrXjJ0R6mkn/12I9yqsCxprVZCTpF7bfhAyd6hSsTu8dAdBRNQ0h6WblRYOn0gwkSOy4o9rMhlS7h84lrpfXCfWSIiIiKqQPoh+9fopoA+TNlYyGVuJSyvXLmCd999F+3atUPfvn2Rl5eHNWvWIDU1FZcuXcJDDz2EUaNGeTtWqoKnrWx6Ryu50VKzFbJi8sWdYR72yzmG7iiQsMwtLmmr1mg0si4rJtuyikwQhJpvk81xc3CN/TLKVod6MjBISlgqUB1abHb/QwVA2QSUWGHpzuNUo9FwerIbPNnmAyjdEs41d5U06MjfsynhTFgSERGRryssLIRGo4FGo0FhYaHS4Xgmg+3gvkj2K/K7774bycnJWLlyJcaOHYtLly7h66+/Rv/+/QEAISEheOGFF3DhwgWvB0uV87SVTayCMlpq9o2WmGgMdrOKSNEKSzdbk4GSfSBNFpsib26zpT0s3Y9diSpFo8UqJbndir1UorimGXx0D0ubTUCBY+uGMDeG7gAlj2+2J7tGEIRS23y4lzxjS7h8Hj9GA5gkJiIiIlKdS/vsXxM7KhsHySK7VCYuLg5bt25FSkpKhcfUq1cPqampHgVG8pitNlgcwyzcrd4SE501XWEp7j3pboVlsIJTWbM9aE0O1vlB56+FyWJDVqFJ+j1qSsl0c/erFJWosBQH7mg17g2AiVJwYJCnVdDiY7SmE1CFJgvEImB31hwoiZ2VZ64xWW3Smrv7IVRwANuT5TJYxApLdz9UcGytwjUnIiIiUgdBAM7vtH/fsKeysZAsst95fvrpp1Ueo9Fo0KhRI7cCIveUfnPkbjWOWGFZ09VbhSbPKizFShgl3iB6MrhGo9EgKjgAV/KMyCkyo0GUt6OrnDTdPMiNPSyDlUv6SXtvBgVAq5XXhg+UxK5EhWXJ0B33HqPBCt3Xxeplf63GaT9KOUr23+TEalcYTCUfHHk+JZzJM1cZPN1nVsHBWERERERUjmungKJrgH8gkNRZ6WhIBpffee7cuRNr1qxxOu2LL75AkyZNEBcXh3HjxsFoNHo9QHKNmGTUagCdG4NrAEAfILaE13SFpT2BEeJmhaW415gibdWOfRCjQtxrk1VyL0hpH0g3YhdbwpVI+nmSJAaUrbD0eOiOQu2m0v6Vgf6y92oVBSvUzu6rDI6tOfy0GreGkQGlW8KZJHaVuO7ufqgQxCQxERERkbqc327/2uAWwN+995CkDJdfkc+ePRtHjx6Vfv7zzz8xZswY9O/fHy+//DL++9//Yt68edUSJFVNrMYJDPBzO6EgDd0x13DC0vHGLsTNlmjxDWJNxw0AOcWOKkV3k2fByu0FmVPoeUu4wWyr8Tfmnkw3B0oniWt26I7NJkgfBrjdEq5QMiTPIO5f6f62BVJLuKnmH6e+SPw/dve+ApQe0sQ1d5Wne0Fz6A4RERGRypzaYP/auLeycZBsLicsDx48iDvuuEP6+ZtvvkH37t3x8ccfY8qUKXjvvffw7bffVkuQVLViD/fGA1QwdEfve28Qc8Q9LN1oqwaA8CB7AkhMCNUUs9WGfMe6u1OpGKLzkyp5a7rK0tMKy2hHRWlNJ4kNpR5X7g70EBNQRQq1hIfq3bufAyUVloUKDMfyRZ5W+gGlW8K55q7yuAraseYWmwCzlYnimnDp0iU89thjiImJQVBQENq3b48//vgDAGA2m/HSSy+hffv2CAkJQVJSEkaOHInLly87XUfjxo2lKajiv7ffftvpmMOHD+PWW29FYGAgkpOTsWDBgjKxrFq1Cq1bt0ZgYCDat2+Pn3/+2el8QRAwc+ZMJCYmIigoCP3798epU6e8vCJEREQkMeQBpx0JyzZ3KxsLyebyO6Hs7GzEx8dLP2/duhWDBw+Wfr7llls4GVxBxR5WhQClE5Y1+yarSEqGeDjMQ5GhO54lz8SJywU1nLDMLS6pLoxwI9mq0WikVvKabq32ZNARoFxVq6FUlZu7Az1CHRWOBYaarQ4V759hbj5GgZL7ej4Tli4R7y+ePKcHKri/r6+Shu642xJe6v+L6179srOz0atXLwQEBOB///sfjh07hoULFyIqyr4pdFFREfbv34/XXnsN+/fvx/fff48TJ07gnnvuKXNds2fPRnp6uvTvueeek87Ly8vDgAED0KhRI+zbtw/vvPMOXn/9dXz00UfSMTt27MDw4cMxZswYHDhwAEOHDsXQoUNx5MgR6ZgFCxbgvffew/Lly7F7926EhIRg4MCBMBgM1bhKREREddhfawCrCYhtBcS1VToaksnld5/x8fFITU1FcnIyTCYT9u/fjzfeeEM6Pz8/HwEB7lffkGek6cNuVm4BpVrCazhhWeCYEu7ulOzS04cFQXC7Jd4dnibPxCRtgbFmE1BilWJ4oD/83BhcA9gTf1fyjDW+/6bYhu9+haUye1iKyQudv9atYUEAEO5I+tV0Ra54//SkJVy8bH4NJ1t9laeVfkCpilzup+gSm02AyeJZojjATwM/rQZWm4Bik1V6zFL1mD9/PpKTk7FixQrptCZNmkjfR0REYMOGDU6XWbZsGbp164a0tDQ0bNhQOj0sLAwJCQnl3s6XX34Jk8mEzz77DDqdDu3atcPBgwexaNEijBs3DgCwdOlSDBo0CFOnTgUAzJkzBxs2bMCyZcuwfPlyCIKAJUuW4NVXX8W9994LwL4XfHx8PFavXo1HHnnEO4tCREREdqYiYLNj28IODwI1mCcg73D53eedd96Jl19+GfPnz8fq1asRHByMW2+9VTr/8OHDaNasWbUESVXzdPpw6csaa7gqRBwIEepuS3ipJK3RYvPoDb5cUntyiLsVlmLFXM0moMREq7txA6USfzXdEl7oWRu++DvnFJthtQluJ2zl8saehNIWAsU1m/TLLzV0x11idWZN39d9ldgS7sn9hQNg5Cn9YZ27667RaBAU4IcCo4XrXgN++uknDBw4EA8++CC2bt2K+vXr49lnn8XYsWMrvExubi40Gg0iIyOdTn/77bcxZ84cNGzYEI8++igmT54Mf3/789bOnTtx2223Qacr+Zs5cOBAzJ8/H9nZ2YiKisLOnTsxZcoUp+scOHAgVq9eDQBITU1FRkYG+vfvL50fERGB7t27Y+fOnRUmLI1Go9NQy7y8PJfWhoiISA2yCk34Y/V7iLx2wK3Lx4UHonFMsHs3nnkcyE0DIpKBHs+6dx2kKJfffc6ZMwf3338/+vTpg9DQUHz++edOL9w+++wzDBgwoFqCpKoZvJAMUa7C0rGHpbsVlv4lSdpik7WGE5aOxJ+HFZY13SYr7b3pZpUioNy0bTFBGulmslVMdAqCPeEcE6r3WmyVMXhhn9mSCkuFEpYetYSLFZZMWLrCYPLiHpZsTXZJ6XXy5O9IkM6RsOS6V7uzZ8/iww8/xJQpUzBjxgzs3bsXEydOhE6nw6hRo8ocbzAY8NJLL2H48OEIDw+XTp84cSJuvvlmREdHY8eOHZg+fTrS09OxaNEiAEBGRoZT5SYAaZukjIwMREVFISMjw2nrJPGYjIwM6bjSlyvvmPLMmzfPqaOJiIjIV2QVmnDfB9vxXN5WDPDb5t6VZAM470EQfnrgnr8DuhAProSU4vK7z9jYWGzbtg25ubkIDQ2Fn5/zi/lVq1YhNDTU6wF60/vvv4933nkHGRkZ6NixI/7+97+jW7duSoflFV7Zw1KxCkv77bmbDPH300Lnp4XJanMabFLdrDZBShxFBLmXPAtVrMJSbKt2v12xniPRl55Xs3tv5RR7liT299MiNlSPawVGpOcaaj5h6cG2DeGOZKvBbIPRYpU+ZKhu0tAdj1rCxT0s2RLuipKhO54kzuz/X2wJd434GBXbut3FSeE1x2azoWvXrpg7dy4AoHPnzjhy5AiWL19eJmFpNpvx0EMPQRAEfPjhh07nla6M7NChA3Q6Hf72t79h3rx50Otr5m9ERaZPn+4UX15eHpKTkxWMiIiIyDVv/+84zl8vwp6w3khKuglaN1qy4yP0aBLjZrLRLwBodScQ28K9y5PiZL/7jIiIKPf06Ohoj4OpTv/+978xZcoULF++HN27d8eSJUswcOBAnDhxAnFxcUqH5zFxQIN3poQrVGHpZks4YE+2mqy2Gm3Byy02QxDs33u6h2VNV52JrezutlUDQCNHaf75a0VeiclVJbG7Xx2aHB2EawVGXMgqwk31y39O8zYxeaH3d79iLkzvD43GXh2ab7BAH1ozCUtx30lP9uNT6r7uq4pNng/dEf8emCy2Gt3+wFeJCUt3h2KJghQcBFfXJCYmom1b5w3027Rpg++++87pNDFZef78eWzatMmpurI83bt3h8Viwblz59CqVSskJCTgypUrTseIP4v7XlZ0TOnzxdMSExOdjunUqVOFsej1esWTpkREpAIWI3DtJCDU4Hv1omK3L5p2vQjf7b8EAHj4sXHo0ijKW1FRHeJ+uYyPWbRoEcaOHYsnnngCALB8+XKsXbsWn332GV5++WWFo7NX663Ynur25fekZgHwdEq4/bIH0nLwyW9n3b4euS5m2RNeIR60mwYF+CHfYME3ey8gLqxmXtiLbdVhen8E+LmXhBLbZM9fL6zRNf/t1DUAnrWEN461f9J1+GLN3l/Sc+0Vne4miQGgYXQwDqTl4IcDl3Apx/0/xHKculIAwLMKS61Wg1C9P/INFqzYnur24CG5jlyy75nmjZbw1Gvy7+v+Wg1G92pS9YEqYrMJ+MyD5/S95zx/Tg8udV/7x7Yz0Ml8nrqnUxLiwgLdvn0l/PfQZVxxs+r7ar59n8BADx6jQMlj/L+HLuN4urz9Bm9pHI2OyZEe3X5d0qtXL5w4ccLptJMnT6JRo0bSz2Ky8tSpU9i8eTNiYmKqvN6DBw9Cq9VKH2inpKTglVdegdlslgZMbtiwAa1atZImkqekpGDjxo2YNGmSdD0bNmxASkoKAPswoISEBGzcuFFKUObl5WH37t145pln3F4DIiKqA66dBv55n30/xppkEty+6GfbU2G1CejTsh6TleS2OpGwNJlM2LdvH6ZPny6dptVq0b9/f+zcubPM8UpscG4TBLy59rjH1yMO5XCHmFDYcy4LexxvlmuSJ9V+4UEByMw34qNtNZc4E9XzIEEqJpwu5xq88v8vlyexN4u1bwHhi7E3drQVrD92BeuPXaniaO/ydGpwTIgO+QYL3t98xksRuc6TJHFMqP2+fjG7WPb9JSjAz/cSlt56TvegDV/vr4XeXwujxYYF605UfYEbdG0c7XMJyy92nsPec9keXUeYB2sOABGOv2Xf7L0g+7IvD27NhKUMkydPRs+ePTF37lw89NBD2LNnDz766CN89NFHAOzJygceeAD79+/HmjVrYLVapf0io6OjodPpsHPnTuzevRu33347wsLCsHPnTkyePBmPPfaYlIx89NFH8cYbb2DMmDF46aWXcOTIESxduhSLFy+WYnn++efRp08fLFy4EEOGDME333yDP/74Q4pFo9Fg0qRJePPNN9GiRQs0adIEr732GpKSkjB06NCaXTgiIvIdNhvw3ZP2ZKV/EBBUg8k/ow1AvuyLWaw2rDmcDgAY3bOxd2OiOqVOJCyvXbsGq9Va7kbnf/31V5njldjgXAPg3k5JHl1HoL8fxvRu6vbl77+5AS5mF9f4QA8AaBQdjI4NIt2+/Gt3tcUP+y/C/c+A3KMBcN/NDdy+fMcGkZh4Rwucv17ovaBcFBbojwe7uh97w5hgvDqkDf68lOvFqFzTsUEk4sPdT6SM6N4Q1wqM0nYENcVfq8XIlEZVH1iJ1+9ph9UHLtX4fT02VI//axtf9YEV6Jwchef6NUdalvwtBORWBqqBRqPx0nO6+4lajUaD+cM6YPOJTLcu78ket0rp3bwekiKD3L68BsDQzvU9imHy/7VETKgOVpv8R2nzeureC1xtbrnlFvzwww+YPn06Zs+ejSZNmmDJkiUYMWIEAODSpUv46aefAKBM2/XmzZvRt29f6PV6fPPNN3j99ddhNBrRpEkTTJ482WnfyIiICKxfvx7jx49Hly5dEBsbi5kzZ2LcuHHSMT179sRXX32FV199FTNmzECLFi2wevVq3HTTTdIx06ZNQ2FhIcaNG4ecnBz07t0b69atQ2Cgb30wQERENejMRiD9EKALA577AwhLqLnbLiwEXpH/2mTX2SxcKzAiKjgAvVvEVkNgVFdoBEGo6fe9Ne7y5cuoX78+duzYIbXmAPYXjlu3bsXu3budji+vwjI5ORm5ublV7ntEREREpEZ5eXmIiIjg6xkfxv9DIqI6ZtVo4OgPQLe/AXcuqNGbLiwslAYrFxQUICTEteE3r60+gn/uOo/h3Rpi3v3tqzNE8kFyXsvUiQrL2NhY+Pn5VboZemnc4JyIiIiIiIiIFFOcA/y11v595xGKhiLHb6euAgD6tfb94cakLN/rs3ODTqdDly5dsHHjRuk0m82GjRs3OlVcEhEREREREREpLnUrYDUBsS2BhA5KR+OStOtFOHe9CP5aDXo0jVY6HPJxdaLCEgCmTJmCUaNGoWvXrujWrRuWLFmCwsJCaWo4EREREREREZEqnN1i/9qsH6DRKBqKq7Y5qitvbhSFMA+HjRLVmYTlww8/jKtXr2LmzJnIyMhAp06dsG7dujKDeIiIiIiIiIiIFCUmLJv2VTIKWf44lwUASGkao3AkVBvUmYQlAEyYMAETJkyQfTlxLlFeXp63QyIiIiKqEeLrmDowb5GIiMi35V4Css4CGj+gUS+lo3HZvrRsAEDXxlEKR0K1QZ1KWLorPz8fAJCcnKxwJERERESeyc/PR0REhNJhEBERUUUuH7B/jWsLBFY+SVktMvMMuJBVDI0G6JQcqXQ4VAswYemCpKQkXLhwAWFhYdBU494ReXl5SE5OxoULF6oc707ewTVXBte95nHNax7XvOZxzSsnCALy8/ORlJSkdChERERUmYzD9q+JHZWNQ4b9jurKVvFh3L+SvIIJSxdotVo0aNCgxm4vPDycb7RqGNdcGVz3msc1r3lc85rHNa8YKyuJiIh8QPoh+1efSljmAAC6NGI7OHmHVukAiIiIiIiIiIjIQUpYdlA2Dhn2nbdXWDJhSd7ChCURERERERERkRrkXwHy0wFogPiblI7GJWarDX9eygUAdG7IhCV5B1vCVUSv12PWrFnQ6/VKh1JncM2VwXWveVzzmsc1r3lccyIiIvJ54v6VsS0AfahiYYSEhEAQBJeOPXO1ACaLDaF6fzSKDq7myKiu0Aiu3gOJiIiIiEgxeXl5iIiIQG5uLvdpJSKqrba9C2yaA7R/EBj2idLRuOS7fRfxwqpD6NY4Gt8+naJ0OKRicl7LsCWciIiIiIiIiEgNfHDgzrH0PABA2yR+mEbew4QlEREREREREZEaiAnLBN8ZuHP0sn3/ynZMWJIXMWFJRERERERERKS04mwg57z9ex+ZEC4IAo5dZoUleR8TlkRERERERERESkt3DNyJbAQE+ca07YvZxcgzWBDgp0GLuDClw6FapE4mLOfNm4dbbrkFYWFhiIuLw9ChQ3HixAmnYwwGA8aPH4+YmBiEhoZi2LBhuHLlitMxEydORJcuXaDX69GpU6dyb+vbb79Fp06dEBwcjEaNGuGdd95xKcZVq1ahdevWCAwMRPv27fHzzz87nf/9999jwIABiImJgUajwcGDB1263qysLIwYMQLh4eGIjIzEmDFjUFBQ4PR7jx49Gu3bt4e/vz+GDh3q0vVWhWte8ZqfOHECt99+O+Lj4xEYGIimTZvi1Vdfhdlsdun6K8I1r3jNz507B41GU+bfrl27XLr+ynDdK173119/vdx1DwkJcen6K8I1r3jNPYm5MnV5zd966y307NkTwcHBiIyMLPcYV34vIiIiojJ8cP/Ko47qypbxYdD518kUE1WTOnlv2rp1K8aPH49du3Zhw4YNMJvNGDBgAAoLC6VjJk+ejP/+979YtWoVtm7disuXL+P+++8vc11PPvkkHn744XJv53//+x9GjBiBp59+GkeOHMEHH3yAxYsXY9myZZXGt2PHDgwfPhxjxozBgQMHMHToUAwdOhRHjhyRjiksLETv3r0xf/58Wb/7iBEjcPToUWzYsAFr1qzBtm3bMG7cOOl8q9WKoKAgTJw4Ef3795d13ZXhmle85gEBARg5ciTWr1+PEydOYMmSJfj4448xa9YsWbdzI655xWsu+vXXX5Geni7969Kli6zbKQ/XveJ1f/HFF53WOz09HW3btsWDDz4o63ZuxDWveM3djbkqdXnNTSYTHnzwQTzzzDOVHlfZ70VERERUrgxHhaUPJSyPOfavbJvIdnDyMoGEzMxMAYCwdetWQRAEIScnRwgICBBWrVolHXP8+HEBgLBz584yl581a5bQsWPHMqcPHz5ceOCBB5xOe++994QGDRoINputwngeeughYciQIU6nde/eXfjb3/5W5tjU1FQBgHDgwIHKfkVBEATh2LFjAgBh79690mn/+9//BI1GI1y6dKnM8aNGjRLuvffeKq/XHVzz8tdcNHnyZKF3795VXr8cXPOSNZdzfZ7iuld8Xz948KAAQNi2bVuV1y8H17xkzd2NWa66sualrVixQoiIiKj0mIp+LyJ35ebmCgCE3NxcpUMhIqLq8PeugjArXBBOblA6Epc9uWKP0OilNcKK388qHQr5ADmvZepkheWNcnPtnwhER0cDAPbt2wez2exUYdi6dWs0bNgQO3fudPl6jUYjAgMDnU4LCgrCxYsXcf78+Qovt3PnzjLVjQMHDpR12xVdb2RkJLp27Sqd1r9/f2i1Wuzevduj65aLa17xmp8+fRrr1q1Dnz59PLrtG3HNy675Pffcg7i4OPTu3Rs//fSTR7dbEa57xff1Tz75BC1btsStt97q0W3fiGtesubuxixXXVlzIiIiompjLACunbJ/7yMDdwDgWLq9Jbxd/QiFI6Haps4nLG02GyZNmoRevXrhpptuAgBkZGRAp9OV2ZsqPj4eGRkZLl/3wIED8f3332Pjxo2w2Ww4efIkFi5cCABIT0+v8HIZGRmIj4/36LYrut64uDin0/z9/REdHe3xdcvBNS9/zXv27InAwEC0aNECt956K2bPnu3RbZfGNXde89DQUCxcuBCrVq3C2rVr0bt3bwwdOtTrSUuue8XPLwaDAV9++SXGjBnj0e3eiGvuvObuxixHXVpzIiIiompz5QgAAQhLBELjqjxcDbIKTUjPNQAAWidw4A55V51PWI4fPx5HjhzBN9984/XrHjt2LCZMmIC77roLOp0OPXr0wCOPPAIA0Gq1SEtLQ2hoqPRv7ty5Xrvtp59+2um61YRrXr5///vf2L9/P7766iusXbsW7777rtdi45o7i42NxZQpU9C9e3fccsstePvtt/HYY495ZRhJaVz3iv3www/Iz8/HqFGjvBYXwDWXG7M3cM2JiIiIvMAnB+7Yu2waxwQjLDBA4WiotvFXOgAlTZgwQRpS0KBBA+n0hIQEmEwm5OTkOFWHXLlyBQkJCS5fv0ajwfz58zF37lxkZGSgXr162LhxIwCgadOmiIqKcppKKrbSJSQklJmkKve2Z8+ejRdffNHptISEBGRmZjqdZrFYkJWVJeu6PcE1r3jNk5OTAQBt27aF1WrFuHHj8MILL8DPz8/lGMrDNXftft69e3ds2LDB5duuCte98nX/5JNPcNddd5WpgvME17zsmlcVs6fq2poTERERVRufTFg62sGT2A5O3lcnKywFQcCECRPwww8/YNOmTWjSpInT+V26dEFAQID0pggATpw4gbS0NKSkpMi+PT8/P9SvXx86nQ5ff/01UlJSUK9ePfj7+6N58+bSP/GNVkpKitNtA8CGDRtk3XZcXJzTdYvXm5OTg3379knHbdq0CTabDd27d5f9e8nBNZe35jabDWazGTabTc6v7YRrLm/NDx48iMTERDm/crm47lWve2pqKjZv3uy1dnCuedVrXlHM7qqra05ERERUbdJ9cUK4PWHZNokTwsn76mSF5fjx4/HVV1/hxx9/RFhYmLSnVUREBIKCghAREYExY8ZgypQpiI6ORnh4OJ577jmkpKSgR48e0vWcPn0aBQUFyMjIQHFxsVTl0bZtW+h0Oly7dg3/+c9/0LdvXxgMBqxYsQKrVq3C1q1bK43v+eefR58+fbBw4UIMGTIE33zzDf744w989NFH0jFZWVlIS0vD5cuXAdjfCAL2qpKKKkjatGmDQYMGYezYsVi+fDnMZjMmTJiARx55BElJSdJxx44dg8lkQlZWFvLz86Xfq1OnTrLWuTSuecVr/uWXXyIgIADt27eHXq/HH3/8genTp+Phhx9GQID7ZfVc84rX/PPPP4dOp0Pnzp0BAN9//z0+++wzfPLJJ26stDOue+XPLwDw2WefITExEYMHD5a3uBXgmle85u7GXJW6uuYAkJaWJl3WarVKMTdv3lxqHa/q9yIiIiJyYjYAV4/bv0/wnYE7Yks4E5ZULap1XrlKASj334oVK6RjiouLhWeffVaIiooSgoODhfvuu09IT093up4+ffqUez2pqamCIAjC1atXhR49egghISFCcHCwcMcddwi7du1yKcZvv/1WaNmypaDT6YR27doJa9eudTp/xYoV5d72rFmzKr3e69evC8OHDxdCQ0OF8PBw4YknnhDy8/OdjmnUqFG51+0JrnnFa/7NN98IN998sxAaGiqEhIQIbdu2FebOnSsUFxe7FHdFuOYVr/nKlSuFNm3aCMHBwUJ4eLjQrVs3YdWqVS7FXBWue+XPL1arVWjQoIEwY8YMl2J1Bde84jX3JObK1OU1HzVqVLmX27x5s8u/F5G7cnNzBQBCbm6u0qEQEZE3pe0RhFnhgjC/qSDYbEpH45JCo1lo/PIaodFLa4QreZ69d6W6Q85rGY0gCEKZLCYREREREalKXl4eIiIikJubi/BwVrMQEdUau/8B/G8a0GIAMGKV0tG4ZN/5bAz7cAfqhemx95X+SodDPkLOa5k6uYclEREREREREZEqXNpv/5p0s7JxyHBMbAdP5AdoVD2YsCQiIiIiIiIiUsplR8Kyfhdl45BBnBB+U30mLKl61MmhO0RERERUcw4fPiz7Mm3btoW/P1+qEhFRLWfIA66dsn9f33cqLMWEZbukCIUjodqKrwKJiIiIqFp16tQJGo0Grm6drtVqcfLkSTRt2rSaIyMiIlJY+kEAAhDREAiJVToal5itNpzIyAcAtOOEcKomTFgSERERUbXbvXs36tWrV+VxgiDgpptuqoGIiIiIVEDcv7J+Z2XjkOHUlQKYrDaEBfqjYXSw0uFQLcWEJRERERFVqz59+qB58+aIjIx06fjbbrsNQUFB1RsUERGRGlz6w/61fldl45DhaKmBOxqNRuFoqLZiwpKIiIiIqtXmzZtlHf/zzz9XUyREREQqc9GRsGzgSwlL7l9J1Y9TwomIiIiIiIiIalruJSA/HdD4AYmdlI7GZcc4IZxqACssiYiIiKjGWK1WrFy5Ehs3bkRmZiZsNpvT+Zs2bVIoMiIiohomtoPHtwN0vrEXpM0mSC3hrLCk6sSEpQtsNhsuX76MsLAw7s9AREREPkkQBOTn5yMpKQlarXJNNs8//zxWrlyJIUOG4KabbuJrKyIiqrvObbd/Te6mbBwynM8qQqHJCr2/Fs3qhSgdDtViTFi64PLly0hOTlY6DCIiIiKPXbhwAQ0aNFDs9r/55ht8++23uPPOOxWLgYiISBXObrF/bdJH0TDkOHwxBwDQOjEc/n7cZZCqDxOWLggLCwNgf4EfHs49GoiIiMj35OXlITk5WXpdoxSdTofmzZsrGgMREZHici8B104AGi3Q5Falo3HZgbQcAEDn5EhF46DajwlLF4itSuHh4UxYEhERkU9TugX7hRdewNKlS7Fs2TLFYyEiIlJM6lb716TOQFCUsrHIcCAtGwBwcyPfiZl8ExOWRERERFSt7r//fqefN23ahP/9739o164dAgICnM77/vvvazI0IiIiZZzZbP/atK+iYchhMFtx1DEhnBWWVN2YsCQiIiKiahUR4TxF9L777lMoEiIiIhWwWYGzvpew/PNSLiw2AfXC9GgQFaR0OFTLMWHpRVarFWazucLzdTqdolM5iYiIyANWC3B5v711yy+g6uNJsmLFCqVDICIiUo8Lu4HCq0BgBJDcQ+loXCa1gzeM5LYuVO2YsPQCQRCQkZGBnJycSo/TarVo0qQJdDpdzQRGRERE3vPt48CJn4FWQ4BHvgT4Ql2WWbNm4Y477kCPHj34WoiIiOq24/+1f205GPD3nb+J+8/nAAA6N+T+lVT9mLD0AjFZGRcXh+Dg4HI/abDZbLh8+TLS09PRsGFDfhpBRESeOfQNcH47cMcsICRW6Whqv8y/7MlKADixFrj6FxDXRtmYfMznn3+OOXPmIDAwECkpKbj99ttx++23o3v37vD350tSIiKqIwShJGHZ5m5lY5HBahOwK/U6AOCWxtEKR0N1AV8deshqtUrJypiYmEqPrVevHi5fvgyLxVJmg3kiIp+WnwHYLEBEA6UjqRsu7AV++Jv9e2M+8OBKRcOpE06uc/751AYmLGU6d+4czp07h82bN2PLli345JNPMHPmTISEhKBXr15SArNbt25Kh0pERFR90g8CuReAgGCgWT+lo3HZsct5yCkyI1Tvj44NIqq+AJGHuKGih8Q9K4ODg6s8Vmx/slqt1RoTEfmotF3AxjlA4XWlI5En9Tdg8U3AsluAqyeVjqZuOPxNyfd/rQVMhcrFUldcPmD/GuyoZr30h3Kx+LDGjRvjiSeewOeff45z587hzJkzWLp0KeLi4jB37lz07NlT6RCJiIiq1yHH67gWAwBd1XkEtfj99DUAQI+mMfD3YyqJqh/vZV7iSos328CJqEK5F4HP7wF+exf46Tmlo5Fn+xLAZgbMRcCO95SOpm44v6Pke6sJOL9TuVjqivRD9q+dR9i/XjmqXCy1xPnz57Ft2zZs3boV27Ztg9lsxm233aZ0WERERNXHbChJWHZ+XNlYZNp6MhMA0Kt55Z2lRN7iUkv4e+/JfwP6xBNPICwsTPbliMoQBODSfiAsAYior3Q0RNXj8L8Bq9H+/Ymf7VWWIT7wYsBsAM5uKfn5zCb7Y5Yf0FQfU6F9/0QAaNQbOP87kHEYaNFf2bhqM4sJyDlv/779g8D2pUDWWcBcDAQEKRubD0lLS8OWLVuklvBr166hZ8+e6NOnD8aOHYtu3bpxGA8REdVux/8LGHKAiGSg2e1KR+Oyq/lG7EnNAgD0bxOvcDRUV7iUsJw0aRIaNGgAPz8/l670woULuOuuu5iwVBNzMfDTRKDgCnDfciA8SemIXLd5LrBtARBSD3huHxDI/TKoFjq3vdQPApC6FbjpfsXCcVnGn/a9K3VhwP+zd95hUpVn//+c6dsLsCxLE0UFbCAqoqKiRLDEGo0tscXEQnwjtmBUYonGXhLf+FOjRqOx5NXESiSooBQLiAoqgtLZZdk6uzt95vz+OOdM2TozO7tnZrk/17XX7p5zZubeZ59zZp7v+d73HfKCe5vmFi0daXZkA5ed34IagYIK7YPupo+g9muzoxrYuLdpY251QsU+4CwGvxsaN0HFOLOjyxl22203Ro0axeWXX87ll1/O5MmTk/5sKQiCIAgDgs+e0r5POh8sufMeOH9NDREVDhhRwsjy3EljF3KbpJvufPbZZ1RUVCR1rAiVWciqF+Crl7Wf3/8DnPKoufEkS8gPnzyu/dy2Ez7/O0y90tyYBCHTqCpsW6H9POJg2PqpVow7FwRLo67f6MO04uG1X2uCmgiWfUfTZu17+e4wdB/t59pvzYtnV6B5i/a9dCRYLFA2WhPrm0SwTIWzzjqLRYsWcffdd7NkyRKOOuoopk+fzqRJk6RsjiAIgjDw2fAhbF4KVkdOpYOrqso/P9M+C52w3zCToxF2JZKqYTlv3jwKCwuTftIbb7yR8nJpc59VfPXP2M9fvwGRHGn8U/2FZpk32LDYtFAEoc9wb9PmucUG+/5E21b7jakhJU39Ou17xbhYx2Rx+/UthmBZOgrKxujbNmnCt9A3NOmCZYkuxJeO1r43bjInnhzlxRdfpLq6mqVLl3L88cfzySefcMIJJ1BWVsZJJ53Evffey6effmp2mIIgCIKQeSIRWHib9vOBP8+pUmfLf2jgi63NOG0Wzpg8wuxwhF2IpAXLZLpgG8ydO5fS0tJ0Y8pJ1CQWiskc0yeEArB9Zex3fzPsWG1OLKmy5WPte5Gewr55mSzKhYFH/Xrte9luMGx/7edccczVf699L98DBu+t/Vy3zrx4dgWiguVITbQELT3Z22heTAOdeIclaOcqxOpaCikxbtw4Lr/8cl566SVqampYunQpEydO5I477mDq1KlmhycIgiAImefjx2DrJ+AohGnXmB1N0viCYf74jmakOOugkQwudJockbArkXRK+Lx58zj22GM59NBDpSB6HHa7HQCPx0NeXveF9wOBAED/12uqXQMhH+SVwbADtAYZ21dpP2c7NV9p3yedDx/eD75maKnOrRqcgtAThug3aCwM2lP7uXmLdrPBluXX2wYj9j3Apn+AMQQ1oW8w3H6lo8CRr9WybKvVxj1fshv6BGNOl+gCcVGl9r211px4BgA7duzggw8+iDbh+e6773A6nUybNs3s0ARBEIQBSCgc4d5313Lux6cxTN2Z1nPYrAqWdEqYqCpEgtrPM37fr2vZOS+t4s0vq9N+fCAcAaDYZePK6WMzFZYgJEXSguWzzz7L7bffjsvlYurUqUyfPp3p06czZcoUbLakn2bAYbVaKS0tpbZWW7Tk5+d3WocpEomwc+dO8vPz+3+8dn6nfa+YAEPGa4Jl3Xf9G0O6GE6tyn21em3167T6eCJYCgOJhh+07+W7Q8FgsOdD0KOJloP2MDe27oiEtQY7oDnOFN20L66zviU+Jdz43larzZeqiaaFNaBpP+YFek3v1h3mxJOjvPzyy1GRcu3atdjtdg4++GDOOusspk+fzmGHHYbTKc4NQRAEIfPc+5+1/L/FP/AzZxCHEkrvSSK9CECxwKFXwEGX9OJJUicUUaOiY7oMKXLy53MmUVniylBUgpAcSStnGzZsYOPGjbz//vt88MEHPPnkk9xyyy0UFBRw+OGHRwXMQw45pC/jzUoqKzWnhSFadoXFYmHUqFH9X1jeqDE3eE8Yspf2884cSDdV1Viq7KA9Ycje2t9Stw72OMbc2AQhkxiiX+koUBTt+85vNZEkmwXLtp1ah3DFAoWVgH5ta96qiZk51PkwZ1DVjm6/wqHad3H79R3tU8ILDcFSxjwVzj//fA466CBOO+00pk+fzuGHH95jdoogCIIg9JbN9R7++tEGAFbMeBn7mNK0nqckz47LlubnW0cB5KX3ur3h1pP3Ye4JvWsQOLjQid2aVDVBQcgoKVn9dtttNy666CIuuugiQBMxDQHzzjvv5He/+x2hUJp3K3IYRVEYNmwYFRUVBIPBLo9zOBxYLCac6PGin5Fuaji6shlPg1aXDTTnWbRmmKSbCgMM9zbtu+Ecjhcss5lmPe6iYWC1aWmyikUTMdvqoGioufENRDwNEGzTfi7Ri56LeNb3tOhOSiMVPCoSi8MyFRobGykoKOj2GK/XKyKmIAiCkFEeeW8doYjKUXsN4ZRpk80Op18pK8jy8lKC0A1pq2ebNm1i8eLFLFq0iMWLFxMMBjnyyCMzGVvOYbVacblcXX6ZIlZCrN5Z2W6xdLbmrVqnsmzGcLQUDgW7KxZ7tos4gpAqhvBXrAtQ0fp4WS6GuHVnqCG0WqyQP1j7Odtjz1UMcbtgiHZdhJhg2SaCZZ8QaIOQV/vZmN/GmHsbINz1jUohEUOsvOqqqzrd39bWxgknnNCfIQmCIAgDnFZ/iDe/3A7AVcfuaXI0giCkQtIK2ubNm3n22We56KKLGDNmDPvuuy8vvPACe++9N3//+99pamrivffeS+nFFy9ezI9//GOqqqpQFIV//etfCfsvvPBCFEVJ+Jo1a1bCMQ0NDZx33nkUFxdTWlrKJZdcQmtra8IxX375JdOmTcPlcjFy5EjuueeelOLMeYx005IRmrCgWCAcyP7FbXzcACV6Kp4IlsJAIhyC1hrt55Lh2vdccW+16HHH15QV8axv8dRp3wuGxLaJw7JvadPH3OoAZ5H2c145KHpKWFt6hft3Zd566y3mzZuXsK2trY1Zs2btkpk6giAIQt/xn9U1+IIRdh9SwIGjSs0ORxCEFEg6JXy33XZj1KhRXH755Vx++eVMnjy5192u29raOOCAA7j44os5/fTTOz1m1qxZPP3009Hf2xdjP++886iurmbBggUEg0EuuugifvnLX/LCCy8A4Ha7Oe6445gxYwaPPfYYX331FRdffDGlpaX88pe/7FX8OUHIHyeGjASrHYqqNGdU05aYkysbaS9YGrXDjO2CMBDw1IMa0W4kGCJUQY4IUIZQ01482wG0iojTJ7TVa9/zB8W25YrAnat4jDEfrNWYBbBYtLneUq2NuzSCS4l3332XadOmUVZWxm9+8xtaWlqYOXMmNpuNd955x+zwBEEQhAHE619o7srTJg7v/14SgiD0iqQFy7POOotFixZx9913s2TJEo466iimT5/OpEmT0j7xjz/+eI4//vhuj3E6ndGmNu355ptvmD9/Pp9++ikHHXQQAH/605844YQTuO+++6iqquL5558nEAjw1FNP4XA42GeffVi1ahUPPPDAriFYurULNDYX5JdrP5cM1wRL9zbgYNNC6xF3uzRZY1HuqddcadZdtzu9MIAwRL+88liTmsIhifuylc4ES+me3LdEHZaDY9tyReDOVQzBsmBQ4vaCIbpgmeXnaRayxx57MH/+fKZPn47FYuEf//gHTqeTt956q8cal4IgCIKQLN5AmGU/aO/js/bNYqOOIAidknRK+Isvvkh1dTVLly7l+OOP55NPPuGEE06grKyMk046iXvvvZdPP/004wF+8MEHVFRUsPfee3P55ZdTX18f3bds2TJKS0ujYiXAjBkzsFgsfPzxx9FjjjzySByOWLHZmTNnsnbtWhobGzt9Tb/fj9vtTvjKWYwFbFFlzBlSkGNiiJHumD9Ic6GhxhaQgpDrdJrimyNdn41U2QS3X45cX3KV6JjHCZbxKeGq2v8xDXQ6G3MQZ2sv2X///XnzzTe58cYbyc/P55133hGxUhAEQcgoyzfUEwhFGF6ax9iKQrPDEQQhRVK2qI0bN45x48Zx+eWXA/D111/zwgsvcMcddzB37tyM1h6aNWsWp59+OmPGjOH777/nxhtv5Pjjj2fZsmVYrVZqamqoqKhIeIzNZqO8vJyaGi0NuqamhjFjxiQcM3To0Oi+srKyDq971113ceutt2bs7zCVrlI24/dlK+1jt1g1YaRtp1YfTzoQCwOBthx2zEWdZ/HiWY6IrblK9LrYiWAZ8oK/BVzF/R/XQKYzVyvEzfWa/o0nR+kqI8fpdLJ9+3YOP/zw6LaVK1f2Z2iCIAjCAGXRWu1z05F7DZZ0cEHIQdJqW71jxw5eeuklLr/8ck4//XTuvPNOAoEA06ZNy2hwZ599NieffDL77bcfp556Km+++SaffvopH3zwQUZfpz1z586lubk5+rVly5Y+fb0+pduUzSwXFHI5dkFIls4ES8OlGGiBoLf/Y0oWSQnvfzyd1LB0FIBDdw1k+42oXKQrh6WRIu7pPFtDSOTUU0/llFNO6fB11VVXcfbZZydsS4Vt27Zx/vnnM2jQIPLy8thvv/347LPPovtVVeWWW25h2LBh5OXlMWPGDNatW5fwHJlq4PjKK68wbtw4XC4X++23H2+//XbC/mRiEQRBEDLHcj0dfNqeQ3o4UhCEbCRph+XLL7/MBx98wAcffMDatWux2+0cfPDBnHXWWUyfPp3DDjusQ0OcTLP77rszePBg1q9fz7HHHktlZSW1tYnCVSgUoqGhIVr3srKykh07EhfOxu9d1cZ0Op19/rf0G506LHMkZbMrIaeW7I9dEJLFmMvxYoizGKxOCPs1cb5stDmx9UR36clyjvYNbZ2UEDB+D7RqQvGgPfo/roFM1GHZroalq1T77hXBMhnadwXPBI2NjRx++OFMnz6dd955hyFDhrBu3bqE7Jl77rmHRx55hL/97W+MGTOGm2++mZkzZ/L111/jcrmAzDRwXLp0Keeccw533XUXJ510Ei+88AKnnnoqK1euZN999006FkEQBCEzNHuDrN3RAsDBu5WbHI0gCOmQtGB5/vnnc9BBB3Haaacxffp0Dj/8cPLy8voytg5s3bqV+vp6hg0bBsDUqVNpampixYoVTJ48GYD33nuPSCTClClTosf87ne/IxgMYrfbAViwYAF77713p+ngA45OHVA5IFiqqjgshV2DzmpYKoqWbtq8WTsPslGwDAfB16T93FnJCTlH+4au0pMLBkPjBvA09H9MA522uC7h8eTpnyGM80Dod+6++25GjhzJ008/Hd0WXwZIVVUeeughbrrppqhz89lnn2Xo0KH861//4uyzz85YA8eHH36YWbNmcd111wFw++23s2DBAv785z/z2GOPJRWLIAiCkDk+39yIqsLoQfkMKRogZiRB2MVIOiW8sbGRpUuX8oc//IEZM2Z0KlZ6vamlLra2trJq1SpWrVoFwIYNG1i1ahWbN2+mtbWV6667juXLl7Nx40YWLlzIKaecwtixY5k5cyYA48ePZ9asWVx66aV88sknLFmyhNmzZ3P22WdTVVUFwLnnnovD4eCSSy5hzZo1vPTSSzz88MPMmTMnpVhzllwV/fxuCAe0nzur1daWxbELQiq0deHeMpzQ2ZpabaQmK5aYcAOx64unHsKZq2ks6HSVnixuv76jK5E4r1T77m3qz2hylvLycurq6pI+ftSoUWzatKnbY15//XUOOuggzjzzTCoqKpg0aRJPPPFEdP+GDRuoqalhxowZ0W0lJSVMmTKFZcuWAZlr4Lhs2bKE1zGOMV4nmVg6Y0A1ghQEQehHVmzSrs+TR+8CJiVBGKAk7bA0OjdeddVVPPLIIx32t7W1cdJJJ/H+++8n/eKfffYZ06dPj/5uiIgXXHABf/nLX/jyyy/529/+RlNTE1VVVRx33HHcfvvtCenazz//PLNnz+bYY4/FYrFwxhlnJMRXUlLCu+++y5VXXsnkyZMZPHgwt9xyS/SO+ICn07TqisR92YgRm6MI7HHiuPF3tGaxO1QQUqGzmwoQE/6y1QltnKN55WCJu/cVFS9V7cZDvqTgZIwEV2sX4pm4/TJPZ3VDITbXRSROiqamJt555x1KSkqSOr6+vp5wONztMT/88AN/+ctfmDNnDjfeeCOffvopV111FQ6HgwsuuCDagNFotmgwdOjQhOaMmWjgWFNT0+Pr9BRLZwyoRpCCIAj9yGcbRbAUhFwn5S7hb731FmVlZQkfntra2pg1a1bKL3700UejqmqX+//zn//0+Bzl5eXRGkNdsf/++/Phhx+mHN+AwHBRdpYSbjT0sPdvan9SdNYJF+JEHHFYCgOErhxzUTGkqV/DSZquhFarTbvREGjRhBwRLDNHNN1bSXS1QvbPl1zGGNO8dnPZcLWKSJw0F1xwQUafLxKJcNBBB3HnnXcCWify1atX89hjj2X8tcxi7ty5CVlBbrebkSNHmhiRIAhC9hMMR1i1pQmAg0bLZ1FByFVS7hL+7rvv8sQTT/DQQw8B0NLSwo9+9CMURWH+/PmZjk/oLZ2JCs4iraEHZG9aeGdCK8TVx8tS15kgpEpXTVSi6aZZ6t4yXGftbyqApMr2FcZcyCsFizVxn6SE9w2qCr5m7WdXO2egOCxTIhKJpPy1++67d/ucw4YNY8KECQnbxo8fz+bNm4FYc8XOmi/GN2fMRAPHro6J399TLJ3hdDopLi5O+BIEQRC6Z21NC95gmCKXjT0rCs0ORxCENElZsNxjjz2YP38+t99+O4888gjHHXccDoeDd955J5o2LmQJ4RB4dUdOYVy6k6JkfyffLtNkByfuF4RcJhwEvy6GtE83zXb3VlQ86yTNJpqeLEJORokKZ6Ud90lKeN8QaANVT0vuIFiWat9DPi1bQeh3Dj/8cNauXZuw7bvvvmP0aK1R2ZgxY6isrGThwoXR/W63m48//pipU6cCiQ0cDTpr4Lh48WKCwWD0mPYNHKdOnZrwOsYxxuskE4sgCIKQGVZv0z4z7T+iBItFMTkaQRDSJWXBErQU6zfffJMbb7yR/Px8ESuzla6aYkBMHDGOyTa6akQiXVmFgYQvrnlCV2JItroUjXPQiDOeqNuvqX9i2VXoyukHkhLeVxhjbrF3LJ/iLAZFd7rKuJvC1VdfzfLly7nzzjtZv349L7zwAo8//jhXXnklAIqi8Jvf/IY77riD119/na+++oqf//znVFVVceqppwKZa+D4P//zP8yfP5/777+fb7/9lt///vd89tlnzJ49O+lYBEEQhMywZrv2GXufquTqJguCkJ0kVcNy0qRJKErHOxNOp5Pt27dz+OGHR7etXLkyc9EJvcMQI12lHdMHs10MMdxbXbnOQj4I+sDu6tewBCGjGKKfo0ir/RhPtovzxrWjU/GsVD9GHJYZpTvBUlLC+4b4MW//OUhRtO3eBu08LR7W7+Ht6hx88MG89tprzJ07l9tuu40xY8bw0EMPcd5550WPuf7662lra+OXv/wlTU1NHHHEEcyfPx+XK/b5IRMNHA877DBeeOEFbrrpJm688Ub23HNP/vWvf7HvvvumFIsgCILQe9Zs196/96mSMhqCkMskJVjKnd8cJRkHVLaKIV0tzJ3FgAKoWuz2rus+CULWY5x/uShAJSOeZev1JVfpbr5ISnjf0N08B+3Ggrche8/TXYCTTjqJk046qcv9iqJw2223cdttt3V5TKYaOJ555pmceeaZvYpFEARB6B3hiMo31S2ACJaCkOskJVjOmzevr+MQ+oKk6p0191c0qRFdmJcmbrdYtIWjr0lzeBWJYCnkMN2m+JZq37PVBd3t9UXSk/uEbgVLGfM+ITrPu1jwZPt5KgiCIAi7GBvq2vAGw+TZrYwZLA13BCGXSauGpZAjGAuoXKwxl0y6qTiJhFwnmXM0W+d5MjdEsvX6kqsk62qNRPorooFPMg5LyN7zNEs56qijePbZZ/F6pVmRIAiCkFmMdPDxw4qwSsMdQchpkhIsy8vLqaurS/pJR40axaZNm9IOSsgQuZw+aCwSc1FsFYRkScZh6XNnpwCVTDp7tl5fcpVkRGI1AoGW/opo4NOTYJntpRuylEmTJnHttddSWVnJpZdeyvLly80OSRAEQRggSMMdQRg4JJUS3tTUxDvvvENJSXInfX19PeFwuFeBCRmgu8Vttot+XaWEQ/aLrYKQLMk45lDB3xxzcmULuZzOnqt0dyPHngc2l9aQzNvYtcAmpEaPDstS7bvM9ZR46KGHuO+++3j99df529/+xpFHHsnYsWO5+OKL+dnPfsbQoUPNDlEQBEHIUaThjiAMHJISLAEuuOCCvoxD6Au6SzfNdtEvqW64Tf0VjSD0Dd0J8zYH2Asg2KYJUDklWEqabJ+QjNuvtUa7NmbZdMlZunMSAziLtO+B1n4JZyBhs9k4/fTTOf3006mtreXxxx/n5ptv5sYbb+SEE07gqquu4phjjjE7TEEQBCGHUFVVHJaCMIBISrCMZGM6otAz3aZs6tuyUfQLB2OLv85EmmwXWwUhWZJxbwXbsu88VdUkbypImmxGSWa+tNbItTGT9DTmhmDpd/dPPAOQTz75hKeffpoXX3yRiooKLrzwQrZt28ZJJ53EFVdcwX333Wd2iIIgCEKOsL3ZR5MniM2isFelNNwRhFwnaYelkIMkkxKejQvb+M7lzk6s/OKwFAYKyTjm3Nuy7zz1t2i1EqF7B7eco5klafFM3H4Zo7v3UYi9R/mlbmgq1NbW8txzz/H000+zbt06fvzjH/OPf/yDmTNnoihag4QLL7yQWbNmiWApCIIgJM3qbdr79p5Di3DarCZHIwhCbxHBciCTTKftbBQUjAWiowisnUxRcVgKA4XuzlGIO0+zzKlonKNWh1Y3sT2GuBNsg3Co8/NYSJ2kBUsRzzKGjHmfMGLECPbYYw8uvvhiLrzwQoYMGdLhmP3335+DDz7YhOgEQRCEXCWWDi71KwVhICCryIGMIeh112k72KalYFvt/RRUEvQk4ojDUhgodNdEBWLnQLaJIfEiju6GSsARl4ITaMm++pu5SE9p+CDiWV8gY94nLFy4kGnTpnV7THFxMe+//34/RSQIgiAMBL6WhjuCMKCwmB2A0Id0mxIet/jKNuGvO6E1frs4LIVcJ1fFkJ7itsU5L7Mt9lwl6IFISPtZ6in2H8ZYdlaeBLL3HM1yehIrBUEQBCEdpOGOIAwsUnJYhkIhXnjhBWbOnMnQoUP7KiYhU3TnVLRYwVkC/mZN+CvsmI5lGt11To7fnm1CqyCkSs4Klk3a967iBi32kC/7Ys9VjLlisYE9v/NjpJ5i5jHqgTq7KNyfredoljNp0qRorcp4FEXB5XIxduxYLrzwQqZPn25CdIIgCEIuUt/qp7rZB8D4YUUmRyMIQiZIyWFps9m47LLL8Pl8fRWPkCnCQS3dG7pOx8zL0k7hPaaEG2my4iIScpycFSx7cJ1B9saeqxjCmaOw8zR8kDHvCwJx494ZIhKnxaxZs/jhhx8oKChg+vTpTJ8+ncLCQr7//nsOPvhgqqurmTFjBv/+97/NDlUQBEHIEQx35ZjBBRS5sqjcmSAIaZNyDctDDjmEVatWMXr06L6IR8gUPXXaBs1hCdkn/PUo4sgCURgAhAIQ9ms/O7u4C5ytKb6GiNNV3PH75DzNDAF9HJMZ84B0Cc8IkbCWig/dCJZx8zwSAYtU2kmGuro6rrnmGm6++eaE7XfccQebNm3i3XffZd68edx+++2ccsopJkUpCIIg5BKGYDlB6lcKwoAhZcHyiiuuYM6cOWzZsoXJkydTUFCQsH///ffPWHBCLzBEP3tB1x16s1VQMOJxJVEzTFW7dhsJQjYTLyo5uhChHFl+jnYl4kDcjYUsE1tzlYDumHcUdH1Mtl7TcxVjzKHnlHBULauhO0FZiPLyyy+zYsWKDtvPPvtsJk+ezBNPPME555zDAw88YEJ0giAIQi6yYlMDAPsPl/qVgjBQSFmwPPvsswG46qqrotsURUFVVRRFIRwOZy46IX0CPdTdguxd3PaYghe3QAy0df83CkK2Ypx3NlcSNxWyzDFnCDm5eH3JVfw9XBdBxjzTGO9FijXWRKo9NpdWVzQS0sZdBMukcLlcLF26lLFjxyZsX7p0KS6XNtaRSCT6syAIgiB0RyAUYdn39QAcPnawydEIgpApUhYsN2zY0BdxCJnGn8Mpmz01ObDngWIBNaIvEEWwFHKQqDCfg465nm4qQPbGnqskdRNKXK0ZJepq7aZuqKJoc93bKHM9BX79619z2WWXsWLFCg4++GAAPv30U5588kluvPFGAP7zn/8wceJEE6MUBEEQcoVPNzbQFggzuNDBhGGSEi4IA4WUBUupXZkjJCUoFCYemy0Eekg3NRaIvmZ9gTis30IThIwRL4Z0RbaKfj3dVIDsdYfmKkml4WfpfMlVjHGMm+ehcITV291MGFaMw6bXqxTBMmVuuukmxowZw5///Geee+45APbee2+eeOIJzj33XAAuu+wyLr/8cjPDFARBEHKE976tBeDovSuwWKRcmCAMFNKqDv/cc89x+OGHU1VVxaZNmwB46KGHpJtjNuFPoUFDtrlxknKHSuMdIcdJ6RzNsnkevamQg7HnKp0I3L5gmC0NntgxMuaZpV3d0EhE5bwnP+bUR5fws79+TDiiavvF2ZoSoVCI2267jaOOOoply5bR0NBAQ0MDy5Yti4qVAHl5eZISLgiCICTF+7pgecy4CpMjEQQhk6QsWP7lL39hzpw5nHDCCTQ1NUVrVpaWlvLQQw9lOj4hXZJyWGap6JdKumkgy2IXhGTJ5XPU3zGdvbrZS3WzN3ZMtt4QyVXapYTvcPs45r4PmHbP+/z1I71UiwiWmaXdOfqfNTV8vEEr6P/xhgYWfL1D2y/jnhI2m4177rmHUChkdiiCIAjCAGBjXRs/1LVhsygcsafUrxSEgUTKguWf/vQnnnjiCX73u99htVqj2w866CC++uqrjAYn9IKUUjazbJGVy7ELQrKkNM/doKp9H1OytGu68+G6nRz+x/c4+t4P+Gxjg74vS8XWXKWdSPzo++vZ3uwD4P531+L2BWPzJeSDUMCMKAcW7eb5W19VJ+x+44vt+n55P0qVY489lkWLFpkdhiAIgjAAMNLBD96tnGKX3eRoBEHIJGk13Zk0aVKH7U6nk7a2towEJWSAlJpiZFmNuWjssXTT1duaqSh2UlGkp4flyAJx2ff1/GdNDecfOpqxFbnTHGhLg4fL/r6CVn+Ipy48mD2G5E7sOUMqTXdQNfEkWxpMtbu+fLm1mYgK/lCEe/+zlpd+NTVnztGcIS4NPxxReevLmHjmCYR5d80OfjKxMu74VrCV93OQA4y4uqGqqvLR+joA5h4/jrve+Zal39cRiahYjLnuEzdxshx//PH89re/5auvvmLy5MkUFCReB08++WSTIhMEQRByjffXSjq4IAxUUhYsx4wZw6pVqzo035k/fz7jx4/PWGBCL2nXLKCu1c/sF1aytdHLY+dPZt/hJTExM9sEhXax3/XON/y/RT9Qlm/nzaumMbw0L3tjj2N9bQs/++vHhCIqC77ewcJrjsJlt/b8wCzgtje/Zs12bfE9799r+Psvppgc0QDEn0QdSHseKBZQI9rx2SJYdlN/8+MNDVQ3exkmgmVmiXP7fVPtpr4tQJHTxjlTRvH44h9Yur6On0weAfZ8CHo0V26+CJa9Ik6Y39bkpckTxG5V+NnU0Tz43+9o9ATZWN/G7sZNh4DctE2WK664AoAHHnigwz5FUaLlhgRBEAShO9y+IB//oGX3TBfBUhAGHCmnhM+ZM4crr7ySl156CVVV+eSTT/jDH/7A3Llzuf766/siRiEd2rkU752/luU/NLC10cv1//xS25eNgoKqJiwStzd5eXzxDwA0eoI8vuh7bV82xt6OZ5dtIqQ3ZdjW5OVdo95ZltPYFoimVgB8tL6ObU3ebh4hpEW7dNNOUZTsnOvt3KFqu3T1Zd/X58RNhZwiLiX8a/1mwv4jSzhyzyEAfLrJSMUXt1/GiGu68021No/3GFJIvsPGuEqt5MHq7e7YXA+KYJkskUikyy8RKwVBEIRk+c/qGgLhCGMrCtljSDdZS4Ig5CQpC5a/+MUvuPvuu7npppvweDyce+65/OUvf+Hhhx/m7LPP7osYhXSIq4/nC4Z588vt0V1fV7u1BW82djYN+SGiF+J3FvLO6pqE0n1vfFlNJKJmfX08VVX5z5oaAPap0mJdkCOC5eJ1OwlHVMYPK2by6DIAlqyrMzmqAUgyZRsgO+d6u47VkXblNT/d2JidQmsuEzdfvq7WrtnjK4vZd7g2P7Y0eGn2BmMlBsTt13vi3P7f6GM+YZg23sa4r9nerLlaQcY8TXw+n9khCIIgCDnKG3qJnJMPqEJRFJOjEQQh06QsWAKcd955rFu3jtbWVmpqati6dSuXXHJJpmMTekPc4vbTjQ20BcIMK3ExY7xmlV+8bmdcp+0sqmEZH4ujkKV6zbAbZo0j32GloS3Ad7UtWS+GbGnwssPtx2G1cN3MvQH4+If6Dk60bGTFpkYApu4+iKm7DwJg+YZ6M0MamCTTdAfiztMsmevhkNbUBaKxGdO6NF8rdP719ubsvCGSy0S7hBdFBcsJVcWU5ju0MhmgiWoiWGaOqDBfxLc1ukisC5ZGXd+NdW0y5mkQDoe5/fbbGT58OIWFhfzwg5ZJcfPNN/PXv/7V5OgEQRCEXKC+1c8Sfa148gFVJkcjCEJfkLJg+dRTT7FhwwYA8vPzqaiQWhFZSZwY8tlGTYCaMqacQ3UB6uMf6rNT9DNiseejKhZWbNbFsz0GRd1+n25oyM7Y41ixWUvP3Hd4MYfuPgibRaG2xZ8TqdWrtjQBcODoUiaNKgVgzTYRnTJOINbQo1uyLcU3XjjVY1fRFMt9q0oA+LamhZAtznWWA0J91qNf01VHAd9sTxTP9hqq/R821LWBXRfPJD2598SVPvhWTwk3xny3Qdo4b6r3iGCZBn/4wx945plnuOeee3A4HNHt++67L08++aSJkQmCIAi5whtfbCccUdl/RAm7DZZ0cEEYiKQsWN51112MHTuWUaNG8bOf/Ywnn3yS9evXp/Xiixcv5sc//jFVVZqF+1//+lfCflVVueWWWxg2bBh5eXnMmDGDdevWJRzT0NDAeeedR3FxMaWlpVxyySW0tiY6Br/88kumTZuGy+Vi5MiR3HPPPWnFm1PEdZT9YmsTAAeOLouKfl9tc8ecXeGAloqdDcQ5Q7c2xpocTBhWzP4jNDFkzfa42LPJHRpHtMbciFJcdmu0Q7hRBy1biURUvtuhxbhPVQkT9HT29Ttb8QWlrlhG8SeZEp5tYogRt9UBNk1oMFLCRw/Kx2Gz4A9FqPHqDabUcPZcX3IZ/Vq3w2ejxR/CblWiLr/Runi2sV7cfhlFn+sRRyGbGzwA7FGhje+oQZogv6negyop4Snz7LPP8vjjj3Peeedhtcaa0R1wwAF8++23JkYmCIIg5AKRiMqzyzYBcMaBI0yORhCEviJlwXLdunVs3ryZu+66i/z8fO677z723ntvRowYwfnnn5/Sc7W1tXHAAQfw6KOPdrr/nnvu4ZFHHuGxxx7j448/pqCggJkzZybUOzrvvPNYs2YNCxYs4M0332Tx4sX88pe/jO53u90cd9xxjB49mhUrVnDvvffy+9//nscffzzVPz23iHNYGs6QCcOK2buyCEXRuobv9Nvjjs8SIS0+7ppYkwOHzRJ1tnxT7c56h+XaHdrfsXelFueE+NizmC2NHnzBCE6bhVHl+VQWuyjNtxOOqHy/MzvF4ZwlmaY7EKuPly2OubhGJFF0B6XVojCqXIt3Y/xUD3r6KbgBjH5t3ObRxJ1R5Zo4DJpQDLC53gMOEc8yhi4SN4cchCIqNotCRZELgBFleVgU8AbDuMO6Q1DmedJs27aNsWPHdtgeiUQIBoMmRCQIgiDkEh98V8sPdW0UOW2cMVkES0EYqKRVw3L48OGcd955PPjggzz88MP87Gc/Y8eOHbz44ospPc/xxx/PHXfcwWmnndZhn6qqPPTQQ9x0002ccsop7L///jz77LNs37496sT85ptvmD9/Pk8++SRTpkzhiCOO4E9/+hMvvvgi27drTWaef/55AoEATz31FPvssw9nn302V111FQ888EA6f3ruoAt5LREXNW5N4N2rsoh8hy2ayra21hPXyTdLhLQ4h6Xh9Buni35GV9Z1ta2oDkOwzJK42/GdLrYaqZpjh8bVO8ti1ulC6x5DCrFaFBRFibq3tjTIYjyjJNt0x9ifLQJUNO6i6CYj4VsBRuuC5aYmH9hciY8R0iMSiQrWW9s0wXJ4WX50tyFYbqz3ZN98yWX0ebszqN3cqyrNw2rRCvo7bVaq9NqhO/y2hOOFnpkwYQIffvhhh+3//Oc/mTRpkgkRCYIgCLlCOKJyz/y1AJwzZRSFTpvJEQmC0FekLFi+++673HjjjRx22GEMGjSIuXPnUlZWxj//+U927tyZscA2bNhATU0NM2bMiG4rKSlhypQpLFu2DIBly5ZRWlrKQQcdFD1mxowZWCwWPv744+gxRx55ZEKNpJkzZ7J27VoaGxs7fW2/34/b7U74yjn0hdOmNu1fXFnsotilLbp212t8bGpoyz6nYrQra5FWj41Yc4OR5XkoCngCYZojTv347Fsg+oLhqEg8ZrAWu+E625Tlot+WRi0+QwCBOAGqPrtjzzn8sSYq3RJ1zGXJ+Md1TjYwSlQqipKQKhtLT86S2HOVOHftphZNMBtRlhfdNqpcG+fN9W2o0RqWMua9Rhd9d/i0906juZGBcZ3cpr/PyjxPnltuuYXZs2dz9913E4lEePXVV7n00kv5wx/+wC233GJ2eIIgCEIW8+f31vNtTQsleXauOHoPs8MRBKEPSfl2xKxZsxgyZAjXXHMNb7/9NqWlpX0QFtTU1AAwdOjQhO1Dhw6N7qupqenQ9Mdms1FeXp5wzJgxYzo8h7GvrKysw2vfdddd3HrrrZn5Q8wgEo4uVrfoC6lRcQLUSF2A2tyQhYJCnOvMcPQZ8TptVoYVu9je7KPaa6EUsnJRbjTWyXdYKdO7Jo82BIVsFywbtNiNMYfYojzbxdacI9mmO9FzNEvE+U6coRFdsVSUeIHbaABTL26/3mKI24qFjc0RIFGwNG7mtAXCeHGSDzLmmUAf9+0e7X10eFl7wbKAJevr2dqmicgy5slzyimn8MYbb3DbbbdRUFDALbfcwoEHHsgbb7zBj370I7PDEwRBELqh2RvkuWUb2drY/81EmzxB5q/R1vm/O2E8pfmOHh4hCEIuk7Jg+cADD7B48WLuueceHn74YY466iiOPvpojj76aPbaa6++iLHfmTt3LnPmzIn+7na7GTlypIkRpUicsLHRrS2kRsalDxpuvy0Nnlh9vGxZaMXVsNy6xRDP4hfm+Wxv9rG11cJ4yB6hNY6o0FqWj6Jo42+M+c4WP55AiHxHdqYubNUdloliSNx8ETJH3FzvlmxzzEWbBcVqWMZSwmMlBBIdllkituYq0bqhRWxt1tzb8W4/p81KVUke25q8NIUdIlhmCn3ebtUFyxHtBMuqEq3kQbTBVLbUmc0Rpk2bxoIFC8wOQxAEQUiBZk+Q0/+yhO93mvueN3v6WM46OIfW54IgpEXKqslvfvMbfvOb3wDw1VdfsWjRIubPn8/s2bOpqKhg69atGQmssrISgB07djBs2LDo9h07djBx4sToMbW1tQmPC4VCNDQ0RB9fWVnJjh07Eo4xfjeOaY/T6cTpdGbk7zCFqBvHysYmzY0TL/pFGzQ0eKBAF0uyZaGlLxAj9kKqm3XBsp3Y+vGGBja3KLHjVVWzdmUJWxo7Cq0l+XZK8uw0e4NsafBGm/FkG9HYyyQlvE8J+SGiN5aIb17TGdnW9TnQUWg1UsItSszNvbnBgzoyHwWyR2zNVaJu3AK26efoiLhzFDQBc1uTl6aQnSrInvmSq6hqdK5vbLEAaoeU8IpiTbCMpYTLmKdKIBCgtraWSCSSsH3UqFEmRSQIgiB0x/0L1vL9zjYqi12cc8gobNb+XYMpCkwZU87k0eX9+rqCIJhDWjYvVVX5/PPP+eCDD3j//ff56KOPiEQiDBkyJGOBjRkzhsrKShYuXBgVKN1uNx9//DGXX345AFOnTqWpqYkVK1YwefJkAN577z0ikQhTpkyJHvO73/2OYDCI3a6l5y5YsIC9996703TwAUGcoLBFT08eVd7RYbmp3oNapgsK2bLQ0uvjtaouIio4bRaGFMXEY0Ns/cEoK6qGIRwAW/YIzDGXYqKgMKo8n6+2NbOpvi0rBUtVVdkaTcOPq49n1Glr8hIKR7BZ0+rVJcQTf745eqphmaWCZXzTnbiUcEPU8QTChK352ptMtsSeq+g3oVRHIdV1xk2F9uKZdg1sCErH6owQ9IKqiWg/NGub2qeED9UFyy2t+mItEoJQAGySntYT69at4+KLL2bp0qUJ21VVRVEUwuGwSZEJgiAIXbGlwcM/PtkMwANnHcBhYwebHJEgCAOdlAXLH//4xyxZsgS3280BBxzA0UcfzaWXXsqRRx6Zcj3L1tZW1q9fH/19w4YNrFq1ivLyckaNGsVvfvMb7rjjDvbcc0/GjBnDzTffTFVVFaeeeioA48ePZ9asWVx66aU89thjBINBZs+ezdlnn01VVRUA5557LrfeeiuXXHIJN9xwA6tXr+bhhx/mwQcfTPVPzx38MUFhc7s6kBAT0lp8IYLWPByQPYKCLoY0hbXF98jyWFq18TvA+qY4N0agLbsEy07qQEJMsMzWOpZub4gWfwiA4aWx2IcWuXDYLARCEaqbfR3+LiENjMY1NhdYe7gMZ5tg2UkqezQlXFFw2a2U5ttp8gTxKS4KIXtiz1X062LAlk9EBYfVwuDCxGueIZ41BKwJjxHSJG7Obm5VAJVhJe0FS+1/sDm+Z12gFWzi+uiJCy+8EJvNxptvvsmwYcMS3ucFQRCE7OTvyzcRDKscMXawiJWCIPQLKQuW48aN41e/+hXTpk2jpKSkVy/+2WefMX369OjvRt3ICy64gGeeeYbrr7+etrY2fvnLX9LU1MQRRxzB/Pnzcblc0cc8//zzzJ49m2OPPRaLxcIZZ5zBI488Et1fUlLCu+++y5VXXsnkyZMZPHgwt9xyC7/85S97FXtWo6cPam4crd5ZfIpvnsNKRZGT2hY/rREn5ZA9goIuhtTpLqH2LiLDHbq50a+JPSGfFnt+9iwQt3RSBzL+9+1Nvn6PKRmMuAcXOslzWKPbLRaFymIXmxs87HCLYJkROmlc0yWOLKth2Uns8Q5L0ETuJk8QDyJYZgR9/PyKdg0ZUuTEYkkUeAzxbKdff1vPwvq+OYXxPmovoKVFu0EW7/YHbZ4D7PSqqAUOlHBAP0+z5/0oW1m1ahUrVqxg3LhxZociCIIgJEE4ovLvVdsBOP9QKdshCEL/kLJgee+992bsxY8++ujoQrczFEXhtttu47bbbuvymPLycl544YVuX2f//ffnww8/TDvOnMNvuHEKCEdUHFYLFe0WWsPL8qht8dMScWhLqywTQ3YGtKnZPq26Um9ysLPFj1qSj2IIllnEdj0Nv6t6ZztaslOwrNabeVSVujrsG1rs1AVLf3+HNTBJtuEOZF9jrKhgGau9GdEv44pWYIKKYidrd7TQqjqogOypkZur6I5cry5YGunf8RgOyx1GA5hsmS+5it+op6zN8zy7lYK4GzkApfn2qPs8YsvHGg7IuCfJhAkTqKurMzsMQRAEIUk+/qGeGrePkjw708dVmB2OIAi7CGkVo1u0aBE//vGPGTt2LGPHjuXkk0/etQTBbEcXFPwWbXE7tKSjG8cQMFvCeq2tbFlk6QvzuoAWlyFQGgwudKIoEIqo0YVkNokhoXCE+rYAEBMQDKIOqCwV/Wp1IbWiqKNgaWzb4c5OsTXniDZRSaKWqeFkzJpz1BBb42tYat+jDkt97rv10g5ZE3uuol/T29AdloUdBUvjHN3uk47VGUGfs0GrdsNgcJGjQ9qyoijR63rYlmU3FrKcu+++m+uvv54PPviA+vp63G53wpcgCIKQXSz4RmtaO3OfoTht1h6OFgRByAwpC5Z///vfmTFjBvn5+Vx11VVcddVV5OXlceyxx/bodBT6CV308+iL284EKENQaA5lmWCpL8x3+LUGSe1T8OxWC4MKtJiDVv3vypbYgbrWAKoKVosSjdMgKvplqcOyVhdS2485xBxdtS3ZKbbmHMac7alDOIAjy4SQzlLC9SqWlqhgqc2X5pBdf0yWOLhzFf1/36Jq15DOzlFjzLdLx+rMYNz40wXLzkRiiKWFByzZ936UzcyYMYPly5dz7LHHUlFRQVlZGWVlZZSWlg7choiCIAg5zKLvdgIwfW9xVwqC0H+knBL+hz/8gXvuuYerr746uu2qq67igQce4Pbbb+fcc8/NaIBCGugLrdaoYNmZG0fvKBsVFLJkkaW7t2q82tTsVDwrclHXGiBgycMFWSWGGC7FwYWOLmvM1br90U6o2YQhRnY2XwyBu1YclpkhlZTwbKth2VnTnXYp4dEGMMEsu77kKvpNKOMGU+c3FfRyGQEbOMmq62JOos9ZH9pYdzbmEJvrXqPBVLacp1nO+++/b3YIgiAIQpJsafDww842rBaFw/eUZjuCIPQfKQuWP/zwAz/+8Y87bD/55JO58cYbMxKU0Et0QcEd0RZYnQqW+iKrzmjQkC2LLF1s3abXYes8didfV4MXF8Vxj8kGDJdid2nV3mCYFn+IYpe9X2PriZ2GYNlJfTzj/5Ct7tCcI5WmO/a4LuGqGsu7NotO3KHtm+4Yc70uYFxfRLDsFfr1ubEbwbLQaaPQacPr1689wTaIRMCSVuUXQR9zbw+CpbHdqxoOy+x5P8pmjjrqKLNDEARBEJLko/VazeEDR5Vm3fpFEISBTcormZEjR7Jw4cIO2//73/8ycuTIjAQl9BJdUGjSF7cVxZ2JZ+07ymbJIkuPvToqWHaSzq5va1P1BWS2iK3Aztau06rzHFaKXNp4Z6NTcacuRnaW+hhzWEpKeEZIKSXcOEaFoLfPQkoaQ3y0xwmW+nfDNRx1E/uM64sIlr1C/783BrTrYlfpyRVFTtqI2xfKgvmSq+jvK636jb8hhR3fiwDK9dIf0XGXud4t99xzD15vbF4uWbIEvz/2vtLS0sIVV1xhRmiCIAhCF3y6sQGAKWMGmRyJIAi7GikLltdccw1XXXUVl19+Oc899xzPPfccl112Gb/5zW+49tpr+yJGIVV0QcFIx+y83pleT9Fo0JAN6YOqGktnj7g6rQMJMTGkNZJl9TeJd1h2nz6YjcJfNCW8E4HbGHNpupMhDJHd6ADeHfHHZMNcN0RTRyyuiOGw1H835lBNNl1fchn9/15nCJZdXF8GFTrwEXfNzIb5kqvo87wl3PX7KMQES0PYlLnePXPnzqWlpSX6+/HHH8+2bduiv3s8Hv7f//t/ZoQmCIIgdMGKTY0ATN5NagwLgtC/pJwSfvnll1NZWcn999/Pyy+/DMD48eN56aWXOOWUUzIeoJAG+oKpXk/H7K6G5Q6fFRxkh0sxHAA1AoAPR6d1IAGGGA2Dsq3DOfGdtrt2QK2vbc261OpIRI2lhHdTQsDtC+ELhnHZpTtgr+hE9OsSi0UTLYMe/WbEkD4NrUcCHcXW9l3CjRsNLdGbClni4M5V9Pmy09e9YFle4EDFQtCahz3szaprY86hz/PmcNf1lCE2191hmevJYJSP6Op3QRAEIbuobfGxqd6DosCBo0SwFAShf0lZsAQ47bTTOO200zIdi5ApdPGxzt91WnVZvgO7VcETdYVkwSIrbnHtwcnoTuIGGKovHBuzrcM5MZfikE5cipC9Dssmb5BQRFs4Du4k3bTIacNps+APRdjZ4mdkeRJCm9A1xpxNxmFpHBf0ZMdc78QdakgOFl2xdNmtFDiseIKuxMcI6RFNT+66hiVAeYG2PWARwbLX6GPepGcqDCrs6PaHmMOyyRAsZa4LgiAIA4gVGzV35d5DiyjJk/qVgiD0L2kJlgCfffYZ33zzDQATJkxg8uTJGQtK6CX6gmmnIVh20kTFYlEYUujE4zYaBWTBIkuPO6zYCGHr0qVoLNYbA1nWMIjuO22D1j0coL4t0G8xJYPhDC3Lt+OwdawUoShaev72Zh/1bQERLHtLKinhoNWx9NSZf56GgxAJaj/b86Kb1XYp4QDlhQ48jVLXLyPo88WDU7950LnD2XD7+RUXBSDj3ht0V2tTSHufKc/vXLA0hMyGoNRrFQRBEAYen+np4AdJOrggCCaQsmC5detWzjnnHJYsWUJpaSkATU1NHHbYYbz44ouMGDEi0zEKqaKLGl7VidWidLPQctLkziJBQY87aNWEkK5T8LTt9UG7VoU1G9yhOnW6YNmZSxGgTBcU6luzS7A04ukqbtAEqO3NPhrasssdmpMYgmUyKeEQa7xj9lyPvzmQ0CVc+x7fwLy8wElLo3FDJAuuL7mMfm304aC0oGt3g+H28xLXKVxID33s3CFtvEvzOx934/2oMegAOzLXk+DJJ5+ksLAQgFAoxDPPPMPgwYMBEupbCoIgCOZj1K88aHS5yZEIgrArkrJg+Ytf/IJgMMg333zD3nvvDcDatWu56KKL+MUvfsH8+fMzHqSQInFunLL8zutAgra4rVbjUjYjEa1enlnocQcULabyThrugCacgV4zzIL5rrM4Gj2a8NdV7IYDKttEvwbd8VnWRdwQSzdtaAv2S0wDmk7qQHaLIQ6a7SY24lYsYI3NlZhgGbvWDCpwsEPNohsiuYzu9vOo2jW9K6RjdQbRx9yLE4sCxa7OBcuSPDtWi4JXxjwpRo0axRNPPBH9vbKykueee67DMYIgCIL5BMMRvq52A3DAyFJzgxEEYZckZcFy0aJFLF26NCpWAuy999786U9/Ytq0aRkNTkgTQ7BUnZR14QoBTVCILmxRIeRNcE31O0HDRaTF1NXCvMBhxWG10EZ21cfzh8J4AmGg6/TBqOjnyS7Rr0kXWrubL+X6vmwTW3OSVFPCjePMFkOicRck2CmjXcITHJYOPMY5GglCKAC2rsU2oRv0cffipDIJwbJFOlb3nkBszEvy7F3e+LNYFMry7bR5s+v9KFvZuHGj2SEIgiAISfL9zlYCoQiFThujpRyUIAgmkLKdbuTIkQSDHcWWcDhMVVVVRoISekkgJvx155grK3DgI26/2YvbuAUidO32UxSF8gIH3ixzbzXpIqRFgSJX5/cCyguyU/Rr1GPv3r2lp+JnWf3NnCSaEp7kDQKHlj5p+lw3upvH1a+EWNMdJa6KpSZYxpUYkPTk9IkKlo7ubypIx+rMkXDjL3ZdXFW7iodXPsyq2lXRbdn4fiQIgiAIvWXNNs1dOWFYcZc37gRBEPqSlAXLe++9l1//+td89tln0W2fffYZ//M//8N9992X0eCENElICe9+catiiaZgm7641QWNNtVwWHYfe9RhmSULxGhadbdp+LrDMstqWCaTEh5tLpFlseck0ZTwvO6PM3BkmcOyXe1NVQXFsZO2cF10W3mBgxA2Qop+Hpt9QyRXUdWYYKm6ouJZS6CFOR/M4aw3zmLRlkVA7BxtDknH6l6ji/M+HNH6lWsb1nLxfy7mya+e5KL/XMR3jd8B2fl+JAiCIAi9ZfX2ZgD2GV5sciSCIOyqpCxYXnjhhaxatYopU6bgdDpxOp1MmTKFlStXcvHFF1NeXh79EkwizhnSVS1FiNVT9CpZksqmCxotES2u7uspOrKuZphRvzK+OUMwHGRLy5ZoF+VojblAGF8w3P9BdkH7lHBVVVm0ZREfbPmAiBoBYrE3ZLnD8qudX3HjhzfyynevRMc96+gkJbwt2MbshbM59pVj+ce3/0g8PltqWHaRyr4h+CaFe9zPs1t/yds/vA3E5otPESGnVxiuVjSHpXF9uefTe1iwaQHfNHzDdYuvo6atJnZ9Ebdf74lLwzdE4se+eIxgRHOjhyIh/rLqL4DWeCfb3o8EQRAEobes2a45LPepKjE5EkEQdlVSrmH50EMP9UEYQsYIBSASAozFbcyN88CKB2gNtPLrSb9mVPGoqCDoxUUJmL/Q0heIrWFtQd5Tc4kNapYIrTqNejMaQzTY6dnJRf+5iE3uTRw54kgemf4IxS4bNotCKKLS6AkwrCRJh10f0z4l/E+f/4knvtIaI5w//nxuOOSG6L4GT/YKljVtNVy64FLagm288cMb2BQbp+15mtlhdaSTlPAHVzzIoq2aU+6uj+/igCEHMGHQBG2nPUu6hHfiDK1pq2F96BUAVCL84eM/cNTIo2I3RHBRSIukhKdLgmCpiWe1nlre+P6N2PaQl5fXvsxVB15FodNGW1hE4l4Td+OvIt9Ba6CVD7Z8AMC9R97LdYuv4/0t79Pka6I0386WLHs/EgRBEITeEImofB0VLMVhKQiCOaQsWF5wwQV9EYeQKeIWS15c0eYv85bOY8GmBQB82/Atr578alRQyBo3jh6723BY9pASvibqaMmOOm0xh6UW/yOfP8Im9yYAFm9dzOvfv85pe55GWYGDnS1+6luzSbCMpbNXt1bz9Oqno/ue/+Z5frr3TxlUqH1YyWaH5d/W/I22OGHsL1/8hZP3OBmrxWpiVJ3QTvhrCbTw2rrXAMiz5eENefn713/nzml3ascZwqbZadWdOCz/vf7fqIQJeUYzqDhAc6Ca/2z8D2MKpgPQpjoYAuZfX3IVfcwD2IlgoTTfzodbPySshtlv8H5cuM+FXLPoGt764S1+PenXmvvcnSXX9FwmmhKulVb5uOZjQmqIUUWjmDVmFo9/9TjrGtfx0faPKMkbG6vXmiXvR4IgCILQGzY3eGj1h3DYLIytKDQ7HEEQdlFSTgkXshx9cRvGQhArpfl2vm/6PipWAmx0b2T+xvlRh2VrxGjQYPLi1mi6ozqxKFDs6l6w9BiOFrNFHB0jrbo830Gzv5k3f3gTgB+N/hFANM13UBamVkcFywI7/9n4H0JqiMlDJzNt+DRUVF5b/1osJTxLa1iqqhqd5/cfdT9FjiKq26r5bMdnPTyyn4mEIaw3XdKdk8u2LyMQCTCmZAxPHKc5W/+7+b/4jeOyrYZlnGD54bYPAQg1T2af4mMBWLh5IYP0eq3SsbqX6GNupNaX5TtYsn0JANNGTOOI4UfgsDjY3rad75u+pyTPHrsJJW6/9Ik2gXNQVuBg2fZlABxWdRgA04ZPA+CT6k8ozbfHmu7EOWKF7vn++++56aabOOecc6itrQXgnXfeYc2aNSZHJgiCIBj1K8dVFmG3imQgCII5yNVnoBGIX9xq3bQN4ezokUdzxQFXAPDmD29GhTN3JEsWt7ozzoOT0m4a10C7DsRhP4RD/RFhtzToKeGlBXbe3/I+oUiIPcv25OZDb8am2Pim4Ru2uLdkZS3IprZYSriRlvyj0T/i5LEnA/D+lvej86XFH8Ifyp76mwbfNX7HDs8OXFYXR444kmNHaeLZ4q2LTY6sHfHnmS5EGqLfkcOPZP/B+zMkbwjekJcVO1box+l3ts1OqzbEGD3uJl8TX+78EoBQ697skX8IoIk4eQ6tfmjMwS3Os7SINtzRzr8ilyUqnh1RdQT59nwmDZ0EwMralZTk2fGQJY3Ucpm4lPDSfHt0zA8ffjgABww5AIDV9aspybPHaliGfBCJ9H+8OcaiRYvYb7/9+Pjjj3n11VdpbdXm6hdffMG8efNMjk4QBEGQ+pWCIGQDIlgONIIxlyJo6cmGYDNrt1nMHDMTgE9rPsVmDWK1KNnTLEAXQ3rqbg6aSzG6KAfzhRwSHZZLty8FYPrI6ZS5yjigQlvcLtm+JOpsrc8SwTIQitDi1wRfm83P57WfA3DkiCM5rOowrIqVDc0baAvXYWjITXrNy2zCEP2mDJuCy+aKCgvLq5ebGVZHok5DBWwuVFXlo20fAZpjTlEUplZNBYgJlvYscVgar6/Hs7x6OSoqBYxADZUw2DmaUmcpvrCPau8PKAq0SW2/3qHPlzZdsGwIbaQ12Eqxozha43T/wfsDsLpOF8/E7dc7wkHQm+t4ceJyBNjcshmASRWaOLzf4P0A+L7pe1yOEF7iai6HZNx74re//S133HEHCxYswOGIjd0xxxzD8uVZds0WBEHYBVkj9SsFQcgCRLAcaERdIdoCwGJr5bvG7wCYWjWVMcVjGFYwjGAkyJd1X1CWb6eNLGnQYLhDVWe3DXdA6yAexEYIvTah2bETa0ZTlu/gsxotDfnQYYcmfP+89vOoGNvszQ7Rr8mrxa0osM79BWE1zG7FuzGyaCTFjmL2KtsLgNX1X1Gcl12xx2OMuSFUThwyEdAEBW82CQjBONFPUdjaupU6bx12i50DKw4EYmLImno9NTJraljq46gLll/VfQVAiTIOAKvFwj6D9wHg64Y1FLvs2XNDJFcxbuToIuQO3/cATBg0IVqbdd/B+wK62y/fHhPPzJ4vuUpCLWgnLRFNrBxWMIwSp+Y0GZI/hKH5Q4moERrDG/DFC5Yy7j3y1VdfcdppHRuiVVRUUFdXZ0JEgiAIgoGqqqzZpqWE7ztcHJaCIJhHSoJlMBjEZrOxevXqvopH6C26KGCkYVb7NLFy95LdKXeVoyhK1CGyun41pfmOODeO2WJILCXccCF2RYkunMVSH81fIBqdti02Nzu9O7EolqiQYHz/uv7raOzuLBH9jO7mpXl2vm38BoilO0Is9jX1a6KxZ5tgqaoq3zRose87SIt3aP5QBucNJqyGWduw1szwEmmXVv1tw7cA7Fm2J3arNr7RMa9bg6qqcYKlySm+0RqWWrMgI/YCZRSgid7G+Mfcfo7ExwqpoV8XvTiwWxU2uNcBMK58XPQQY7583/Q9Ba5wrFxGFjjPcxL9HA1jIYCN+uBGAPYu3zvhMOPGQo3vO1QsMdFS5nqPlJaWUl1d3WH7559/zvDhw02ISBAEQTDY4fZT3xbAalEYV1lkdjiCIOzCpCRY2u12Ro0aRTicffXrBJ24tGqLAhtbNMHSSB0E2GeQ5oBaU7dGr3eWJTXmdNExmZTwqGCZRfXxjJTw5shGQBOJ82yasGOM/0b3RlzOQMLxZhPfIfzbek2AGj9ofHR//HwpNQTLLEsJr/XU0uBrwKpY2bNsTwAURUkQz7KGdh3Cv6nXhNbx5bEx36tsL2wWG03+Jra1bosea3qKryHEOApQVTUmWDIaAIVEgbs0P+76YnbsuYo+bl5Vq+1rjHm8eFaRX0FFfgURNYLfsgVvNA1fxjwt9Bt/mtiuUO3VXK17lyUKlsb/YIdvExDLbJBx75mzzz6bG264gZqaGhRFIRKJsGTJEq699lp+/vOfmx2eIAjCLs1q3V05dkghLrvV5GgEQdiVSTkl/He/+x033ngjDQ0NfRGP0FviGjRoi1tNDIkXLI2fv27Q3H5t2eJSjKu/2ZPDslQXNLOpG67RRKfW/wOQ6IAqd5VTVVAFgAdtcZstLsWmaIdwB183fA0kimfx7tCiPO1DS7bEbmCIOGNKxuCyxWqbThiszfXV9VkkWEZTwjXXpBF7/HxxWB1RcWR1/epYDUuzhZA4sbW6rRp3wI3NYsOlanNbUZQEt19RnhpLCc+CczQnMa6LOCnNt7K2UXMLjysbl3CYIdT7qZaU8N5iiMT63N3cqgmW8ecoaNcbgBrP5oTjZa73zJ133sm4ceMYOXIkra2tTJgwgSOPPJLDDjuMm266yezwBEEQdmmkfqUgCNmCLdUH/PnPf2b9+vVUVVUxevRoCgoKEvavXLkyY8EJaWA4Q3BRlm/n6/qOAtT4QeNRUKhpq2FPlyeWEm52jblgvMOye8Eyz27FblXi3KHmxh4MR2jxaY1rtrRpKZvxYw6wz+B92N62nYbQD8DYrBH9jO7mhflevvPUoqAkuLd2L90dp9VJa7AVp6sJgKYsid3ASAfvMOa6O9So45oVdJES3l4M2bt8b9bUr+GHph+gajf9sdlxUwF7fjTuPUr2QGnS3koUBQa5BlHsKNbETFd9LE1WxLP0CBiCpYOCAjc1IS8Oi4PdSnZLOGxM8RiWbFtCS2Q7HoZpG82eL7lK1NXqwGVX2OjeAMAepXskHGYIlptaNmKz6M3uFGTck8DhcPDEE09w8803s3r1alpbW5k0aRJ77rmn2aEJgiDs8qzerjks95H6lYIgmEzKDstTTz2Va6+9lrlz53LuuedyyimnJHwJJhOXEl6U72eHZweQmOJbYC+ILnYj9m3ZU+8sEHMSlfcgWCqKoqezZ0cHYqNrtqLAD25NHIsfc4g5oJqCW4HscSkaKeEWZw0Ao4pHUWCP3YiwW+yMLh6t/1ILZE/sBusaNZG4fY25McWaoLDZvZmIGun3uDolrtN2s7+Znd6dANHmRga7Fe8GwMbmjVFx0+x5Hi9Y/tCsOYn3LNsTVd+toKAoSvT6oth3xso2mO0OzVXimu44XVpmw6jiUdgsifcbDfGsMbg1e+oS5yrRuqFOSgp9eENeLIqFEYUjEg4bVTQKBYWWQAvFBf6Ys1Xmeo989NFHAIwaNYoTTjiBs846K22x8ve//z2KoiR8jRun3QDauHFjh33G1yuvvBJ9js72v/jiiwmv88EHH3DggQfidDoZO3YszzzzTIdYHn30UXbbbTdcLhdTpkzhk08+Sdjv8/m48sorGTRoEIWFhZxxxhns2LEjrb9bEAShr/haHJaCIGQJKTss582b1xdxCJkiGKu95czXOm0OLxyeIECBVl9xQ/MGQpYdcWlsZtfHM2J3RlO+u6M4z47Pnx0LRCOtujgPtrduB7QxjscQz+r82SVYRmtp2neCPyZ8xLNb8W581/gdYVstMDhrGgYZbHJrafaGyGdQVViF3WLHH/ZT3VbN8MIsaOYQJ/ptdmuppBV5FeQbad86UcHSvTGWEh7yQSQClpTvNWWGOHfo5iYtNXlU8Sh2qppkaVG03WOKx/Dlzi/bXV+kAUxa6OPmw4niqAO/JpS1xzhvd/q2xsY85INIGCxSfyol4lLCCwqa8QBVBVXRplgGLpuLqsIqtrVuI7+wAa9fhOJkOeaYYxg+fDjnnHMO559/PhMmTOj5Qd2wzz778N///jf6u82mfbwdOXJkh+Y+jz/+OPfeey/HH398wvann36aWbNmRX8vLS2N/rxhwwZOPPFELrvsMp5//nkWLlzIL37xC4YNG8bMmTMBeOmll5gzZw6PPfYYU6ZM4aGHHmLmzJmsXbuWiooKAK6++mreeustXnnlFUpKSpg9ezann346S5Ys6dXfLwiCkCka2wJsa9LeByeIYCkIgsmkteptamriySefZO7cudFalitXrmTbtm0ZDU5Ig7iFltVRD3QUceK3+aiJSwk3eZEV13SnvIcalqB1tc6WmmFG/criIjcqKkX2Ispd5QnHGK6zar3eWbM3qHWANhkjJdyvaC6P0UWjOxxjxO5DW/hli9gKWofwzS3amI4qThRyrBZrVNzZ2Lyxv0PrnDjRb1OLJrS2jxtiY77RvRE1ri6nqXM9zh1qiMSji0ZjTGNFFyyN2L3UxHVOFtdZWsS55kMWzY3b6XzRr+k7vdV4lDiBUsY9deLqKdtd2vtoZ2MOMaHY4arDp0r5g2TZvn0711xzDYsWLWLfffdl4sSJ3HvvvWzdujWt57PZbFRWVka/Bg8eDIDVak3YXllZyWuvvcZZZ51FYWFhwnOUlpYmHOdyxa67jz32GGPGjOH+++9n/PjxzJ49m5/85Cc8+OCD0WMeeOABLr30Ui666CImTJjAY489Rn5+Pk899RQAzc3N/PWvf+WBBx7gmGOOYfLkyTz99NMsXbqU5cuXp/V3C4IgZBqjfuXoQfkUu3o2kAiCIPQlKQuWX375JXvttRd333039913H01NTQC8+uqrzJ07N9PxCakSl1YdsukCVHFHAcrY1hKujksJNzvdNLYwL+0hJRy0TuHZ0lyiUU8Jd+Vri9vRxaNRDPVGxxDOWoJuFGsbwbCKNxju30A7odmria2eSCwlvD2GGNIS1gTLbOlwDrDTuxNvyItVsXZI2YRE4S8riBP9DIdlZ+foiKIR2BQb3pCXHYGW2A4zBSjjte35CSJxfEo4xNzELeHteKRjde+IE8+8qnZN7+wcHZw3mEJ7IREiBB3NHR4vpEDczTPFrmUqjCwa2emhxrXR4qzPmhIlucDgwYOZPXs2S5Ys4fvvv+fMM8/kb3/7G7vtthvHHHNMys+3bt06qqqq2H333TnvvPPYvHlzp8etWLGCVatWcckll3TYd+WVVzJ48GAOOeQQnnrqqYQbisuWLWPGjBkJx8+cOZNly5YBEAgEWLFiRcIxFouFGTNmRI9ZsWIFwWAw4Zhx48YxatSo6DGd4ff7cbvdCV+CIAh9hVG/ct8qqV8pCIL5pCxYzpkzhwsvvJB169Yl3H0+4YQTWLx4cUaDE9JATx/0qE58ateCZaze2bbsSAlXVVR9kedTnZTk9XxHryTPHlerzVwxxO3TBEvD1dqZoJBvz6eyoBIAu0tbBGeDU9Ht1ZoFNYc0MbIzR64xXxoCmos6G+I2MJx+VYUdUzYh9vdsaN7Qn2F1TVxKuCGidjZf7BY7I4o0AXZj6yaw5SU+3gz0125TFOq82hweVTwqurBv77BsCGzDg/4/MbupV64SdxOqJazdVOjMBa0oSnQeWR3NsdqhMu6pE81UcBCy6q7WTtLwQbvuAKjWBqlhmSZjxozht7/9LX/84x/Zb7/9WLRoUUqPnzJlCs888wzz58/nL3/5Cxs2bGDatGm0tLR0OPavf/0r48eP57DDDkvYftttt/Hyyy+zYMECzjjjDK644gr+9Kc/RffX1NQwdOjQhMcMHToUt9uN1+ulrq6OcDjc6TE1NTXR53A4HAmp5u2P6Yy77rqLkpKS6NfIkZ2L54IgCJlg9Taj4Y6kgwuCYD4pC5affvopv/rVrzpsHz58eLcfuIR+Ii4l3B3uWoAytjUGavEY08BUIcSLovu0PDgpcvVcXrUki1LCjZqOEZu2uO1szCEmHucXNALZIfxpYmuYBr82X7pzWLaGGsHiy4q4DQzBsquUTUM8M44znfg6kIbDshMBCmLzZbN7c3Y03tFfe3NQc/iUOcsodhQTiaaEa4qlIbT6Ix5ajcKWIuKkhz5ubdhoDnbtsAStziJAXn5znHNexj1l4uqG+tEajXU55rpgGVTq8aoiWKbKkiVLuOKKKxg2bBjnnnsu++67L2+99VZKz3H88cdz5plnsv/++zNz5kzefvttmpqaePnllxOO83q9vPDCC526K2+++WYOP/xwJk2axA033MD111/Pvffe26u/LVPMnTuX5ubm6NeWLVvMDkkQhAGMkRIuDktBELKBlAVLp9PZaTrKd999x5AhQzISlEF3nR8huW6Lmzdv5sQTTyQ/P5+Kigquu+46QqFQRuPMKqKpbA6agl0LUKWuUkqc2htRi0NfXGWBEAIQseXhsvfcJCIhJdxswdKnzamA0r2gYAh/jjzNiWl0FzcTtzeIYm8kQgSX1UVFfkWHYwodhdGanBZ7Q1YJlj2JfkaauNEMyXTiU8K7qL1pYIgh21u3xxrvmHxjAWBzINatGohLCddwWp0MztNqyLXa9PIBkiabHrp41mRTiRDGYXF0eo5CbL44XM1xtUNl3FMmrjO7N6I5iY2xbY/RyMur1uGNpoSLq7Un5s6dy5gxYzjmmGPYvHkzDz/8MDU1NTz33HMJjW/SobS0lL322ov169cnbP/nP/+Jx+Ph5z//eY/PMWXKFLZu3Yrf7wegsrKyw+fLHTt2UFxcTF5eHoMHD8ZqtXZ6TGVlZfQ5AoFAtJRSZ8d0htPppLi4OOFLEAShL2jxBdlQp72HSYdwQRCygZQFy5NPPpnbbruNYFATLBRFYfPmzdxwww2cccYZGQ9wn332obq6Ovr10UcfRfddffXVvPHGG7zyyissWrSI7du3c/rpp0f3h8NhTjzxRAKBAEuXLuVvf/sbzzzzDLfcckvG48wa9IVSgzVCWA1is9gYVjCs00NHFmppRR67tjhTTa2NZ6SD2ynMcyb1kJJ8Ryzt0WzBUhfwvKruxukhfdDqaAKyxWEZwuLQBKgRRSOwKJ1fFgz3lsXemDUNgwC2tWpp6oarrz3GmFe3VRNRI/0WV5foc7XFYqNFr03ZVfdyY/v2tu1gN1LCTTpPI5Fo7DV+LV0omg5rdAmPmzrGvjaHcX0R4Swt9P93s027KVJZUNn1OaqPucXRlDXXxpxEHzO3YsOvtgJEy3m0x3h/9UWacSt6ZoA4LHtk8eLFXHfddWzbto0333yTc845h/z8/Iw8d2trK99//z3DhiV+9vnrX//KySefnNTN9VWrVlFWVobTqZ1HU6dOZeHChQnHLFiwgKlTpwLgcDiYPHlywjGRSISFCxdGj5k8eTJ2uz3hmLVr17J58+boMYIgCGbyte6urCpxMagwufWYIAhCX9Jz3m077r//fn7yk59QUVGB1+vlqKOOoqamhqlTp/KHP/wh8wHqnR/bY3RbfOGFF6IF2p9++mnGjx/P8uXLOfTQQ3n33Xf5+uuv+e9//8vQoUOZOHEit99+OzfccAO///3vcTh6buySc+gLJbdda+YyrGAYVkvnbsWqwipW16/Gb/NAEG2RpqqxQnT9SVyTg2TqV4LmsNyWJWmPRlq1J6Kleg8r7FwkjtU7y46U8FA4Qqs/hD2vCaBLcRu0v2l1/WoUeyPBVq1hUL4j5UtIxqlp00pRdBV7RX4FVsVKMBKkzlvXpTut3zBEP0UToIodxeTbO1+od+qwNKvBVMgX/bHGrwnchogT7RJO7NoxvGA4X+78Ep/NCwFMP0dzFv3/3WrTrhVdCWcQE7hVa0MsJVw6VqeOPmYNNm0+59vyKbIXdXposaOYQnshrcFW6mxodmMRiXtkyZIlGXuua6+9lh//+MeMHj2a7du3M2/ePKxWK+ecc070mPXr17N48WLefvvtDo9/44032LFjB4ceeigul4sFCxZw5513cu2110aPueyyy/jzn//M9ddfz8UXX8x7773Hyy+/nJC+PmfOHC644AIOOuggDjnkEB566CHa2tq46KKLACgpKeGSSy5hzpw5lJeXU1xczK9//WumTp3KoYcemrHxEARBSJfVumC5z3BJBxcEITtIWW0oKSlhwYIFLFmyhC+++ILW1lYOPPDADt0TM4XR+dHlcjF16lTuuusuRo0a1WO3xUMPPZRly5ax3377JRRBnzlzJpdffjlr1qxh0qRJnb6m3++PpgEBudWRUV9otehpmN0tbg0xJOJsAy8oagRCfrC7unxMn6E7Q704KU6ifiVkV5dwtzeEYnMDKnaLPZo+3R7DpRhSGvTHmStYtuip7IpNc8x1O1/02G2OJoJoYms2CZZdxW6z2BiaP5TtbdvZ3rrdfMFSn6s1as8ClDHmWZESHve61XrDncp8XbAksekOxET7oKMNPJh7QySHUYMeFKDNpr0nDc0f2uWxhmgfUurxRW/mSHpyyujier1Vm9eVBZXR+qztURSFqsIqvmv8jkZbWL/5J+J8Z7z++uscf/zx2O12Xn/99W6PPfnkk5N+3q1bt3LOOedQX1/PkCFDOOKII1i+fHmCk/Kpp55ixIgRHHfccR0eb7fbefTRR7n66qtRVZWxY8fywAMPcOmll0aPGTNmDG+99RZXX301Dz/8MCNGjODJJ59k5syZ0WN++tOfsnPnTm655RZqamqYOHEi8+fPT/gM+uCDD2KxWDjjjDPw+/3MnDmT//3f/036bxUEQehL1myTDuGCIGQXKasNzz77LD/96U85/PDDOfzww6PbA4EAL774YlK1gZLF6Py49957U11dza233sq0adNYvXp1Ut0Wu+rqaOzrirvuuotbb701Y39Hf9J+cdutY07fZ3G1xjYGPeYIlkYnXNVJcQoOy2xJe3T7gljsTYAmKPSUsumnEQiZXsPS6G5udyYhWOqx213NeNHqbw4ryevzGLsjGAmy06s1Ouop9u1t29nWuo2JFRP7KbouMByWEc2xmMyY7/TuJGAfq8nzZguWNhc1Hq1OWweHZZyoE01zd2qCmak3RHIY45rus+u19JKYL0FaaaBM2yjiWeroc71Jz1ToTiQGYoKlPaQJluJq7ZRTTz2VmpoaKioqOPXUU7s8TlEUwuFw0s/74osv9njMnXfeyZ133tnpvlmzZiVVN/Poo4/m888/7/aY2bNnM3v27C73u1wuHn30UR599NEeX08QBKG/Wb1dFyylQ7ggCFlCyjUsL7roIpqbmztsb2lpiaa9ZIpkOz9mmlzuyKjqDT18dk0M6W6hFW0iYG8moOpp42YtboOxlPBiV3KCZWm+Pc5FZHJKuDeIYtfOi67SwQEGuQbhtDoBFcXebHpKuNurOSxtDs1F3J3AHa2/qQuzZscOsNOzE7UHVysk1rE0HUOwDGtztrsxL3WWkmfTROFqm1EfzyQxxBBh7HkdXK0RXbGM96DFri9xDnVJlU0dfdxDdu17d4JlkaOIYoe2yNhuNC4T8Sx1jDqzNk00627MIeY0btXrjMo875xIJEJFRUX0566+UhErBUEQhMzgDYRZX6uZWPaVlHBBELKElAVLVVU7TY3aunUrJSV9e3GL7/yYTLfFrro6Gvu6Iqc7MuqL06De6KI78SyaEm5tiBP+zHVveXFSnJd6Srhqctqj2xtzWBqL185QFCXmbLU3mS76GQ5LxYi9m4W5EXfEpqWzmx07xATI7lytEJvrRoMeUzFSwoNaw53uxlxRlGha+Darft01+aZCwF5AvU/rct/RYRk73Ig7YmvAr0ozkrTRxyychGAZv7/OZtyEkpTwlNHHvDWJ0ioAQwu0G4Nt+vGmNrDLEZ599tmE0jsGgUCAZ5991oSIBEEQdm1Wb28mosLgQicVRdJwRxCE7CBpwXLSpEkceOCBKIrCsccey4EHHhj9OuCAA5g2bVqf1bE0iO/8mEy3xalTp/LVV19RW1sbPWbBggUUFxczYcKEPo3VLJSQtlCK2LVFareOOUNQUNqoV0wWLONSwlNpuuPVU8JVs2tY+kIotiag58WtIZ4perdtM9FqaKpELFoToGQaekSUNlD8NJuczg5xDXe6EeYhNterW7PIYRnQHLk9pZtWFmr/kx3G1dqsua7HvcOhpXQ7rU7KnFrasdEv3hKnWBoiTkTx0aA4Ep5DSJJwCEtEE8HCdk3g7mm+DMnX6vbVmy1w5zBGpoInibqhAEPytDH3GYJlQETinujPbB1BEAShZ1Zu0tYCB44q7bJusyAIQn+TdA1Lo97QqlWrmDlzJoWFhdF9DoeD3XbbjTPOOCOjwXXX+TGZbovHHXccEyZM4Gc/+xn33HMPNTU13HTTTVx55ZU4nQPwzlE4iBLRRKSwTUvD7M7tV+gopMhRREughc1WJ2PCmO7e8uJIOiXcZbcStGrpspGAN3W7cIYwOm3n2XuuAwlkncNSsXpQFS2O7hbmhY7CaDdcxe42PXaIa7jTzTwHoo12jHqXpqKfYzX+nkVigIo8PXYi+uPNEiz1uB0OIMDQ/KHRD7RqJynhBfYCCuwFtAXb2GZzMSzkEcEyVfTx8isQsSTnsDTmS6PeMAYRz1ImEvBgJVZapacxN0TigM0XfbxZ70e5gpnZOoIgCEJHVuiC5eTRZSZHIgiCECNpwXLevHmEw2F22203jjvuOIYN697RlAl66vzYU7dFq9XKm2++yeWXX87UqVMpKCjgggsu4Lbbbuvz2E1BX5i2KQoRS3ILrcqCSloCLVTbHBDGvMWtLoZ4SL7pDoDNlQ8hTE17bPXrnbaTSKuGmHim2FpMF/3c3lA07kGuQTisjm6PH5I/hNbmViy2LBMskxQUaj213R7XLwS9qMAOn5Zan3TsGPXxTLqpoF8bauza+Rkfd2cp4aA5z9qCbWyzODkIxO2XKvp4VVu0Mc+z5UVrVHaFMV+abSYL3DmM4dgP2rTvPTksDZE4ZPMmPF7oyKRJk1AUJZqtY7PFPoaGw2E2bNiQVAMcQRAEIXOoqsrKzU0AHCiCpSAIWURKXcKtViu/+tWv+Oabb/oqngR66vyYTLfF0aNH8/bbb2c6tOxEX9xutWqL2yJ7EYWOwu4eQUVeBesa11Fjs4EfEx2W2uv6VCelSTosARyuQmgFi4lCiNG4xmI03ekmDR9igoLF5qa5xXyHpUVPZe8pbtDmy4bmDSg2d7T+pZkkK1gagkKTv4lAONCjMNtnRCIQ8tJoseDXU32TFUNqVe1408R5/RzbYbWA2k6wjP6UqFhW5Few0b2RHTY7BBC3X6ro/+tNNi0NP97V2hXGfDIaxohInAZBDx5FIWJNroalcU0PW/34FAVbSMa8K8zI1hEEQRC6Z2ujl7pWP3arwn7ScEcQhCwiJcESYN999+WHH35gzJgxfRGP0Bt0J81mfXFr1L7rDmOhtdOqJ7BlQUr4qCSb7gDY83TBMhKASBgs1r6KsEvcviAoARRraimbis1Niy/YZWpcfxDf3bynuCE2XxSbW69/aS41nuQEyxJnCQ6Lg0AkwE7vzmg9zn4npDmfa/SGKMm4WqPp7BG9QYVp56jusFQANVFoNbqEW9o7LA13qNVoACNCTkoYN6Fs2hxJ6hzV6ym22fTzU0TilFGC3ug5Wmgv7PHGX7GjGJfVhS/sY6fVwnBxtXbJvHnzANhtt9346U9/isvlMjkiQRAEwUgHn1BVgsve/2spQRCErki5zNIdd9zBtddey5tvvkl1dTVutzvhSzARfWG6xabV50zGMWcsbuujgqW57i0vzqRrWAI4XQVxz2HOIjG+Q3iBvYAiR1G3x8eLfsGwij8U6esQu8TtC8W6m6cgWFrsbty+UF+GlhTJOiwVRYmJ8x4T61gadSD1NMhkxtwQLGtD+vw2remOHruiIubdowAAlDlJREFUzdfOU8LbOSyN+ps2ESzTQv9fb7cmL1ga88WrN4CJSHpyaqgqlpCXGqt2jvbkgIZ21xerLXYDTeiSCy64QMRKQRCELCFav3KUpIMLgpBdpOywPOGEEwA4+eSTExanhkssHJYP6aahiwHb9ZTwnhqRQGxx22jMBLMdlqoj6S7hAK68AiKqgkVRtdid3YuFfYHbF3MpJpVWHa1h2QqEcXuDpt3NdHuDKLbkHZbt3aFm4g15afI3AckLOdtat5lbx1JPFa2xazcVUhGJ60NthAGrWe4tXfjagfZ/7ywlvL1P2JjrDdGO1eL2SwmjM7sucBvj2R3GfPFb/YSBiL9NGsCkQsiPQoQ6XWQ3xrMnhuQNYUvLFmpt1lh5FWf3zsxdmXA4zIMPPsjLL7/M5s2bCQQCCfsbGhpMikwQBGHXY8n3dQAcMqbc5EgEQRASSVmwfP/99/siDiET6GLADn2hlcrittnoKGuSGBIJal2+/ThSarpTnG/Hi4MC/KbF3uwNouhd2ZMZ8zJnGVbFSpgwiq0Vty9ERfd9NPoMty8WezJOopjY6o7W7jSLOq/24SrPlkeRvWeh2nATm9opXL8hUOfQHHNGTN1R7irHolgIqxEarRYGm3xTYaeqCZbxsRtdwi3tlDHj+tJoM64v4rBMCX28NAe8mtR8GeQahEWxECFCg9VCsV9E4pTQ57mRdTA4b3BSD4uWbogvfyCCZZfceuutPPnkk1xzzTXcdNNN/O53v2Pjxo3861//4pZbbjE7PEEQhF2G7U1eftjZhkWBqXsMMjscQRCEBFIWLI866qi+iEPIBPritsFY3CbhDDEcc26TGzSE/B4caCnhRa7kp2WRy44XpyZYmpT66PaGsNhagOQWt1aLlUF5g6j11JrevKbZG8RSoMU+KK/nDynGotxiazG96Y4hWA5yDUqqBmg0tdpMh6UuhtTpNQmTOUdtFhuDXIPY6d1JrdXKYLMclkEPYaBRbxYUH3s0JbyTpjsAzVbpWJ0W+k2oRqtWODSZc9RqsTLYNZhaby21VitFMuapYbhaLdr7ULKCpXE+bDNq0gbbgOTcmbsizz//PE888QQnnngiv//97znnnHPYY4892H///Vm+fDlXXXWV2SEKgiDsEny0Tvs8fcDI0pSy3ARBEPqDtDLFPvzwQ84//3wOO+wwtm3bBsBzzz3HRx99lNHghBTRBbtGPf0ymYWWschqs4WIxD1HfxPWXUBhqwu7NflpWeSy4cNYIJojtmouxeQFS4gJxRabmxYTa0G6vaFo7Mm4t+Lrb5qdEm4IlqkKCtlQw7JOd2GlHLvVap7oF/TQaLUQQcWiWChzxuocqUQVywSMOdViC2tHSD3F1NDnS5N+Dyf1+WKTMU8Vfcxr9dIqg1zJuU2Ma/oOvfaluIm7p6amhv322w+AwsJCmpu10iQnnXQSb731lpmhCYIg7FK89612I3/a2OQ+YwiCIPQnKQuW//d//8fMmTPJy8tj5cqV+P1a59rm5mbuvPPOjAcopIDuxmlOYXE7KG8QCgoRBRotFsImdZSN+LVFtcWRn9Ljil12vKpWD9DMpjuKNXnRD+JTq1tM7bbt9rehWLVzOCmBW//7FEuI1mALobB5DYMMwTKVGnMAtd4scFimcFMBYmJIrc1qnhAS8ESF1jJnGVZLrO5qRJ8GlnZOV+N/E7aouC0Kqrj9UkMXG1v0kh2DXakJlrU2K5aQjHlKRM9R7Y00GVcrxDm4bYZgKePeHSNGjKC6uhqAPfbYg3fffReATz/9FKfTaWZogiAIuwxt/hDvr9U+F8/ct+e66oIgCP1NWl3CH3vsMZ544gns9pht/PDDD2flypUZDU5IkaCXMNCqp18mI4bYLXbKXVqB5Z02K0GfOYKlIWSkKlgWuWx4MFmw9IVSdlhGnYp28xyWwXAEb6QJAKfVSYG9oPsHAA6rgxJnKaB1Cm/1m+cONZySSTugsiIl3AdAna7rJSuGRAUoMx1zQW+XztCumu44rU5KHKWA5vYLmXR9yVmCHjyKQsCijXDS4pkhcFutWEK+PgtvQKKfX/U27eNRqudonZEhIM7WbjnttNNYuHAhAL/+9a+5+eab2XPPPfn5z3/OxRdfbHJ0giAIuwYLv63FH4qw26B8JgwzqaC+IAhCN6Rcw3Lt2rUceeSRHbaXlJTQ1NSUiZiEdAm00WSxEFG0WnJlrrKeH4Mm5NT76qm1WhlplqCgu8ZsrhQdlnn2uJRw8xyWRg3LVN04ZtawbPHFam8OyRuSVB1IgIr8ITT7m6KNd0rzHX0ZZpfU++qBXEsJ1+pANmgFGJJ25EZjt1kh2NJX0XVP0NO1YKkXsexsClXkD6E50ESt1cpwXxtSHSkF4kRilzWPfHty18doAxibFVvEp1lg23dEEjonaJRWSa3pjnEuN9j0k0BSwrvlj3/8Y/Tnn/70p4waNYply5ax55578uMf/9jEyARBEHYd/r58EwAn7V+V9DpAEAShP0l5BVNZWcn69es7bP/oo4/YfffdMxKUkB5qILa4LXGWYrckJw3Epw+alRKuhLTFndXZs8svnmKXLS4l3PwalkkLUPpxFhNrQbq9qdfehJh7y+yGQammhBtxtwZb8ZhWB9JLk8VCOMWbCkYH91qrFSJBCJsw7nHiWXth3mi60z4lHOJTZa3RWrVCcoT8bdFu1cneDIF4R66eth8S8SxpQj6CQIs+dMk6uI1rqM8CXkWRlPAUmTp1KnPmzBGxUhAEoZ9YsamBTzY0YLcqnH/oaLPDEQRB6JSUHZaXXnop//M//8NTTz2Foihs376dZcuWce2113LzzTf3RYxCkgT9rdTZUmvmATHxbKfVimpSGptFX1A7XKkKlnZ2mJwS3uRtQ8lLvg4kJDoszUoJb0kjlR3iO4Vnh2CZbOwF9gLybHl4Q152ency2m7Ch7M40a/MVZb0TQXjb9xpCFBBD1hL+iTELomLvb0wbzTd6ezevBF7ndW8GyK5StDX1uWYd4cx5vXGfAl4wJHatXWXJeilUR83C1ZK9RIYPVFgL8BucRCMBKi3WhghDssOvP7660kfe/LJJ/dhJIIgCNmB2xdkc72HQD/XhPcHI/z+9TUAnD5pBJUlrn59fUEQhGRJWbD87W9/SyQS4dhjj8Xj8XDkkUfidDq59tpr+fWvf90XMQpJEvTFUjYrknSdacfG6p2ZVXfLGtYEP3uKgmWRy45XTwlXA55OBZO+pjXUCIDT4kqqDiQkdts2q+lOSxrdzeOPNVLCzaLOowmWyTrPFEVhSN4QNrdsps5bx+hiEwTLkDetmwodBKigF1z9LVh6ovX5OqaE6z90cgIa/596q8W0GyK5StAfn4afvMOyo8DdBiT/nrBLE/JF53mxszShuVR3KIpCmbOcWm8NdVYrI4Iizrfn1FNPTeo4RVEIh8N9G4wgCIKJhCMq9727lqc+2oA/ZF4Dy8GFDq6ZuZdpry8IgtATKQuWiqLwu9/9juuuu47169fT2trKhAkTKCws7Iv4hBTQFrep1d2C+GYBVvCb4ApRVewRrTGEMy+1eVScZ8Onp4QHfW2YUU2xNdQAQKlrUNL1X4z/j8XmodlnTlOMdJoFxR+r2FpNS2ePqJFYDcskOyeDFrshWJpCN41rusM4tsFqIQJYzHAqhnzUOTqPPaIrlp2lhCeIreI6S4mw3xMVqVNJCY+fL2HAKuOeNGogJhInmw5uMChvMLXeGuqtViIBT+o1dwY4kYh5i3JBEIRsQVVVrnvlC179fBsAgwocFDhTXpL3mtGD8rnlpAlUFIm7UhCE7CXlq+Pf//53Tj/9dPLz85kwYUJfxCSkSdjf1mWNue4wFmX1Vms0NbtfCflR9JRSZ35qDss8uxWvYgiWrf0uWEYiKl61iTxgSAoCVKmzFAsWIkRo9DX2XYDd0OKLNQtKT7BswW1SOnuTv4mwGkZBoTyvPOnHRd1+3vq+Cq17unEpdodR6zKsKDRZLJSbIUAFPdRbtQ+1HWpY6t87k+vjry+KRxyWqRAOdN3oqDvKXGUoKEQUaLJYGCTO1qQJxonEFfnJjznAkPzBfNOgzfWAtw1ZAgqCIAjt+ccnW3j1823YLAr3nXkAp0yUhjeCIAhdkbJgefXVV3PZZZdx8sknc/755zNz5kys1uRSpoS+JRKILbRSdZ0B1NmsWEMmLGzjak/m5afmsFQUhYg1T3sab2tGw0qGtkAIxaqJfqmk4VsUC4X2UtzBBtzBhr4Kr1ta/SEUqzZmyTaugXh3aKtp6exGp+9U6kBCTDzLBodlKjcV7BY7Zc4yGv2N1FmtJgmWPups2g2FDuKZrlh29oE7voalKTdEcphIwJtW0x27xU6hvYSWYBN1ViuDJD05aQK+2PvokBQFS0PgrLdaCHhbRbDshttuu63b/bfccks/RSIIgtB/1Lb4uOOtrwH47fHjOHXScJMjEgRByG5SFiyrq6uZP38+//jHPzjrrLPIz8/nzDPP5LzzzuOwww7rixiFJFEDHursqbtxoq4zixVrxIT0ZF18CahWivLzUn64as+DIIT8/S+2xjeuGZqC6AdQ6izHHWygNWiWwzKEYnMDKTpy9WMVa4tpTXcMh2QqcUNcerLPTIdl6k1UQPtbDcFyr/4WoCIRvGEfrRZNPGsfeywlvOND42tYWsMinKVE0EtdXuo3oQBKnYNoCTZRb5NU/FQIeGOd2VN5H4VEN3HQJ3O9O1577bWE34PBIBs2bMBms7HHHnuIYCkIwoDk4f+uwxMIc8DIUi4+fIzZ4QiCIGQ9KQuWNpuNk046iZNOOgmPx8Nrr73GCy+8wPTp0xkxYgTff/99X8QpJEPIx06X4QxJXgwxFlkBi4IfP05Vhf5MTdAX0z6cFLnSqOGiC5Zhf/8vEBM6bafoxhnkGsTm1vV4w819EVqPNHv9KDZtzNJx5CrWAI0muFoB6nx6h/AURRxDPDPPYelLK8UXtNjXN63XxJT+FqDiGpG4rM4OzaWiKeGdCZb69aXZakUNi3CWCkrIG3PNpzhfBrsGsaX1e63xjnRnT5pgfGmVlGtYxgRLM96PconPP/+8wza3282FF17IaaedZkJEgiAIfUtNs4+XPt0CwI3Hj8PS2V1eQRAEIYFe1YTPz89n5syZHH/88ey5555s3LgxQ2EJ6WAJetNq0OCyuXBaNGejKY0x9JRwLw4Kncmn9xoounhiRgfiVn+sDmSqjjkj3dBPM+GI2sPRmafB24iiRCDFOpD5tnzset3QBpNqQRqCYyrCPMQ5LE2rYZle05344+vNEKBCvrhry+AOqd/RLuGdVLEsdhZjQXtsiyUE0ngjaZRQeiUEACoKjGZqFkIiniVNfKOjdM/ROquVsNQNTZni4mJuvfVWbr75ZrNDEQRByDh/W7aRUERlyphypuye2nu6IAjCrkpagqXH4+H555/nhBNOYPjw4Tz00EOcdtpprFmzJtPxCSkQDHtpSTOVrdCuNfWoM0Ww1F7Pq6bnsLQ48wFQTXARuX2xOpCpCgpDCwynYgut/v5vXtPg10S7PEtRSnUgFUWhyK4JnE0BcwXLVB1QUUHBNIdlXNfnVN1bcemmZtxU6O5mSHcp4RbFQqGtBNBjD5lQdiJH8UT8BHVxONXry7CoYGnF7zHHCZ2LRNKsMwvx56jFlPejgUBzczPNzeZkHQiCIPQVbf4Qzy/fBMAvpu1ucjSCIAi5Q8rq0Nlnn82bb75Jfn4+Z511FjfffDNTp07ti9iEFHHjB/KxYqPIXpTSY0sdg6j3b9fFEA/Qj3f+9EYcXhxpCZY2XbAkFMhkVEkRnxKeqgA1VBcUFFsrLb4gJXmpu0t7Q3OgCawxsToVShzlNASqaTGp/maDT2tU1Jsalqqq9ntXxmDQQ4st9SYqkNgcq/8FS1+3QqvaTdMdgGLHINyhBj2d3QOO/D4LdSDRTACw41LycFqdKT3WcB/XW634vS0U9HC8oBEJeKl3pFnD0ig5YbWCRxyW3fHII48k/K6qKtXV1Tz33HMcf/zxJkUlCILQN/xr1TbcvhC7Dcrn2HEVZocjCIKQM6SsDlmtVl5++WXpDp6FNClaA5Qia3HKQky5axDft2jOEEL+vgivS4K+NuyAHwdVrtRFO7tT68WqhPvfueX2BqJ1IMtdyadVQ1zzGlsrbm8IUtcNe0VrsAGsUOxI/YXLXeVsaIW2sDmCpZHSneqYG8eHIiHcATclzpKMx9Yd9SEP2MCmWChypHZTISaGWKC/m+4EPTTo7u3uxryrq06ps5ytHsPBLUJOsjRbNOd1obU45cfGpycHveL2S5Zg0IM7Lz0XtDHmXosFX0jmeXc8+OCDCb9bLBaGDBnCBRdcwNy5c02KShAEoW945bOtAJx/6GipXSkIgpACKQuWzz//fF/EIWSAZksYgGJb6gKUUU/RjJRNn6cVO1pKeKEzdYelU3dYKuH+FVoB6j3NKIo27qnUgYTYYlixtdBiQrftNr3ZT7kztbghNl+8EXNS9wyHZaqCpcPqoNhRjDvgps5b1++CZYPedKbcXoRFSa0ih9FgyJyUcC8NFk3E6WzMYynhnX8IH5w3GBpNij2HMQTL4jRc0AmCpU9SwpOlKaIJjRbVQrEzNaE435aPDRshQjSrMs+7Y8OGDWaHIAiC0C98v7OVVVuasFoUTpk43OxwBEEQcoo0WjLDwoULWbhwIbW1tUTaNVB46qmnMhKYkCKRMI264bU0DQHKqKdYZ7USCfp6140pRfyeVoqAgMWJNY27jg6X1jDIYoJgWac7/WyknrIZ67bditvX/zUsfbrYOChFoRVi6exBmk1JrU43JRy0cTcEyz1K98h0aN3SEPEDCuWO1IXS+A7E/e5SDHmjDsvOxjyWEt75ww2Bu046VidPOEijPualzvTmOegNYKTpTtI0RbQbdgVKXso3FRRFoVAppEltokmVWq2CIAgCvLpSc1cetdcQhhSltlYQBEHY1UlZsLz11lu57bbbOOiggxg2bFi/CxVCF8Q1Cih1pdY5GaCqUKunUm+14vO20p8V5vw+bTEdsrjSerwrX6vOZo30v0vREM7yraUpP9YQfiw2D03e/nfjBFQ3FmBIfupiiDFfFGsLbYFwWs7YdImoERp9Wip6qg5L0Mb9h+YfTGm80xAJAE7KXak75oz50mixEPK3pne3KV2CXhqsXTssVbrvcl9ZYNRT1DpW92vsuUrQq5XoAMpcqdVShNh8abFa8PpbMhraQMaNJjQWWQrTenyRtZimUBNupf/fj3IJn8/Hn/70J95///1Ob36vXLnSpMgEQRAyRySi8trKbQCcceAIk6MRBEHIPVJeNz722GM888wz/OxnP+uLeIR0CcYcUEMKhqb88JjD0oLX4+lXwTLo1dIVw7b0BMs83WFpi/S/w7LJrwmWBbbSlB9b6iwFLECEnZ56YLfMBdYD4YhKRGnBQswtmQqVhbGGQW5vsF8Fy2Z/M2FVS8MvS0P4i6ZWe/u/w3m9GiJdwbLMWYYFhYgCjYEWUv+v9YKgN9p0p/OUcO17V/evqopiHau9uqNa6IE4kXhwQeoF+osdxVhVC2ElQmNQBMtkcRMELBRa0xMsix2lENpMs9L/rvlc4pJLLuHdd9/lJz/5CYcccojc/BYEYUCy/Id6tjf7KHbZOHa8NNsRBEFIlZRVhkAgwGGHHdYXsQi9IeiJLm7TcczFd5QN+Ps33TSov17ElpfW4+1OXbBU+9/R4g42AVBkL035sRbFgoNiAjTR4Otf8azVF0KxaUKxISalQjSd3daC2xekivT+d+lguFpLnCXYLak3aYo2r/H1s8NSVWkgrMeQ+phbLVbKrHnUhz3UBZv7XbCMpoR30yW8qxqWQwti1xdfW4sIlskQ8tJg0ca8oiD1a7qiKBSRRxNtNIWlhmWytChhwEKxPb36tmXOweCBZkuk54N3Yd58803efvttDj/8cLNDEQRB6DP+qaeDn3RAFS67NKsVBEFIlZRLFf7iF7/ghRde6ItYhF4QDsS6+FYWppE+6IrVx/N5+1ewNOqrqWkKlq48LSXcTv8Llq0hLTU5nbqhAC6Ltihu1J2a/YXbF4wKloa7NhVi9TdbaPb077in2yHcIFoLsr8dliF/rNN2GoIlwGC75vqq7+cu4aFAK02Gw7LTmqeaYtmVSSq+/qbf4+6LEAccIV9b9CbU0DQES4Aii3ZtlHqKyeM2mtc5UndBAwzSr41NViASzlRYA47hw4dTVCS3LgRBGLi0+UPMX10DwBkHSrMdQRCEdEjZYenz+Xj88cf573//y/7774/dnuhweuCBBzIWnJA8Hk9rtItvOo45Q1AIKQqN3gbGZDS67gkH9PqN9vQS0V15mtBpJ6QtEC39dwfTG24GW/riWb61FHdkE+5AY4Yj6x63N4hi1QTLdOtAAiiWMLVtjUB6gko6pNsh3MAQW/tdsAx6YmnVaaT4Agx2FLPWV0tdqH8dc03+JkC7w1XSScOgaNMdOlcsjRsiLVYLrW39n4qfi/g8bdGmO8MK0xO4i63FEKqlGREsk8Vt0SZzWbrXl0KtJEud0RzLKaJcZ9x///3ccMMNPPbYY4wePdrscARBEDLO/NU1eAJhxgwu4MBR6d0EEwRB2NVJWbD88ssvmThxIgCrV69O2Cc1iMzD29YSFUOGpuGwdFgduCIKPotKg7850+F1T0BzdFocaTbdcRXEfgn5wdF/FTgDquYWG5xGGj5AnrUQgtDazzXm6trcKBatxlo6wp/T6sSq5hNWPFS37gTGZjjCrqnX0+c7S01Ohmj35P5uuhPfuCY/PQFqkKsc3FAf6l8XdL0uWJYqdqyd3BCI6IqlpYu3AK2eokJYUalr6/9mR7mIx9MSnS/ppIQDlNpKIARN0gAmOVQVtz69B+Wn/j4KUFlUBWhuYoJeESy74KCDDsLn87H77ruTn5/f4eZ3Q0P/Zh0IgiBkmv/T08FPnzRc1siCIAhpkrJg+f777/dFHEIvafU00dJNjblkKIxY8VlCNPezYKkGDcGyoIcjOyc/PyZQqiEfSj8KlkG0sapMI60aIN+mLWY9of4VLKvbdgKgqE7y03S2OpQSvHjY0c8CVG9Tws0ULI2uz4ZDNVWMdNO6cP82mDJuYpRbO7+pYPQI7+rzuKIoFEXsNFkDNPZ37dAcxd3WRJvFKCGQ3lwvc5aDD5qkAUxyhPxRV+uQwtSb1wEML9EeV2+14Pe24iyUJgudcc4557Bt2zbuvPNOhg4dKot5QRAGFFsbPSz7Qfu8euokSQcXBEFIl/5r7Sv0KTtaNAHKqkKRIz1HR75qA0K0BPs33VQJaSnh1jSFxjyXk5BqwaZE8Pu8uPpJr1RVlYilFQvp1Q0FKLRr/ytfPzfFqNXTcu29aH+SZynFG6lmp6d/BahoSniaIo4h6Df6GwlHwp06BvsCNa4xVro3FQYV6GJIPzeYqtcdwIO6EiwNxbKLlHCAIlw0EaAh0JTZ4AYoO/UbAVYViuzpnaeD8odAMzRb1Z4PFlCDXhr168HQ4mFpPcfIYkOwtOJpdePs1+5YucPSpUtZtmwZBxxwgNmhCIIgZJzXVm5DVWHq7oMYWd5/RgpBEISBRtKC5emnn57Uca+++mrawfQ1jz76KPfeey81NTUccMAB/OlPf+KQQw4xO6yMUO/RBKjiiIJFSbmXEgAF2AEf7lD/NvSwhLT6ajZXmg5Lhw0/dmz48Xk9pJdYnjq+YCRaB3JEcXpunCJHsfZc/SxYGu5Cp5JeJ1yAEkc5DT7Y4anNVFhJYQiW6Yp+Za4yFBQiaoQGXwND0kzPThW3t56Q7iIqc6VXy2hI4QgAdlgiEA6BtX/uOTXoNzHKbZ2foz2lhAOUWArYgpv6kDTdSYb4a3q67rOhhZUANKb3lrDL4fO2RBtjDSupTOs5KvRUcq/FQn1LHVK1rHPGjRuH1+s1OwxBEISMo6pqNB38J5NHmByNIAhCbpP0MqakpCSpr2zlpZdeYs6cOcybN4+VK1dywAEHMHPmTGpr+1ds6SvqdRGnKJK+W6wABwAtkf4WLLVFiz1NwdJqUQig1b/yevsv9vq2VhSrJraOSKPREUCJUxMsA2r/jnm9V5svedb0z9nKAm1Bv9O3PSMxJUtva1jaLDaqCrU6c5vcmzIWV0806MJuoarVAE2HkeV7ArDVZgN//wl/DWGtbMMgvUt5B4ymO90Ia0NsmiN2J/0713OVBr92jhb24ppeWayloTXYFIhEMhLXQKaxuRGvnoZfVZRmmQ97Ps6IdkJUu2syFttA449//CPXXHMNH3zwAfX19bjd7oQvQRCEXGXFpkY21nvId1iZtW96N78EQRAEjaTtOU8//XRfxtHnPPDAA1x66aVcdNFFADz22GO89dZbPPXUU/z2t781OToIhYIs+PjFtB+/vvlbsENRxN7zwV1QoGjexOrgTt5Z8lzaz5MqDkszIYeDbdZm1tStSes5Gpwuygnw7eo3yN/xVYYj7JzNLXpTANVCcd36rgv4dUOlnh6rRqr7dcxrGz8FYLCqwraVaT3HvvY8lgHe4Jq0Yq8qzcPWnSWvC3a4tbvW5a070459N2c521q3sey718hr7B/Rcu3WDwEYRPoC1KjS3QGotdlYteZF7EnW2fMGw+xsSb/u5XfeBrCCNZzHl1ubOuwP6QJNd//NSlcFtK1hi8WT8nyxWKzMnHpuSo8xm0g4zH+Wv5D249c1fws2KFbTv6aPKBsJaB2r3/7wKRRbakL5Ifv8iEGlubXY+mjV27Sk2Yl+x861ANhUNe3SKgClYYUdFvh00/u0Kqml4+8xYj/2Gj0x7dfOFWbNmgXAsccem7BdVVUURSEcDpsRliAIQq/55wrtc+oJ+w2jwCnV1wRBEHrDLnEVDQQCrFixgrlz50a3WSwWZsyYwbJlyzoc7/f78ftji/v+uNsfCAW4fv096T+BvqYt0l2S6VBo0QTLRS43i3oTS6oMswCVUPtXeOuv6T3H8HwgH5pfhn5ucl4RDqA8eUxajz3Q5YRhQ2mz1/Xu/58mhzd8AE/8O63H/shh54nhw2h17DAl9kGvXQmh9JqJ7F5eypKSYh7f8DqPb3g9w5F1T3kvLrslzhJKIirNFoWfff2XDEbVA7rG+uk6H3/+ZEmXh1m6Ee2rCodDG3zhUvkixfniiqg5J1gGQv7enRf6NCnshWA5avAoAIKKwg0bH0758X9Uw5x4xIVpv74ZPPzJjXzr7J3YVRLu3i3c4+MjVnYQ5unQJ7D+k5Qee8b6ffj9BenfvMwVpIGjIAgDkWZvkH+v0jKPJB1cEASh9+wSgmVdXR3hcJihQxPdSEOHDuXbb7/tcPxdd93Frbfe2l/hRakI9S5lz6EqTB99WtqPP26f81nzxa14LP2fOhjBhq24Iu1For+tGVuof+tAAigq/MQDlIxM6/H7qSoTfWG22/q/Q2pBBI6NFEJJcVqP3xOVaZ4wax3pxW7thSCwbxhGFKTXFAPgJGBZSKWtn4fdisKZu8/q1XNcOPggXtm5ApXknVsqsTqT6VIUttLKDIaX5nW6f9/hxYwo63wfwElTL+Dtl/5BvTX1hkEONTc7CGfimn5ML67pBc4Cjg1U8pUlvbINDlvX/89spVB1UtGL9wJFhcMd+/UqhiPLptPSvIBwiu5KgLy8LsouDDCOOuoos0MQBEHIOK98tgVvMMzeQ4uYMia95pCCIAhCDEVVe7mKzQG2b9/O8OHDWbp0KVOnTo1uv/7661m0aBEff/xxwvGdOSxHjhxJc3MzxcXpiTuCIAiCIAhm4na7KSkpMf3zzOLFi7vdf+SRR/ZTJLlHtvwPBUFIJBxRmX7fB2xu8HDX6ftxziGjzA5JEAQhK0nls8wu4bAcPHgwVquVHTt2JGzfsWMHlZUd63M5nU6czvSaYgiCIAiCIAhdc/TRR3fYFp9hITUsBUHINeavrmFzg4eSPDunThxudjiCIAgDgqS7hOcyDoeDyZMns3Dhwui2SCTCwoULExyXgiAIgiAIQt/S2NiY8FVbW8v8+fM5+OCDeffdd80OTxAEISXCEZUH//sdABcetht5jvQbLAqCIAgxdgmHJcCcOXO44IILOOiggzjkkEN46KGHaGtri3YNFwRBEARBEPqekpKSDtt+9KMf4XA4mDNnDitWrDAhKkEQhPR4btlG1te2UpJn55JpY8wORxAEYcCwywiWP/3pT9m5cye33HILNTU1TJw4kfnz53doxCMIgiAIgiD0P0OHDmXt2rVmhyEIgpA0a2tauOc/2nXr2pl7U+yymxyRIAjCwGGXESwBZs+ezezZs1N+nNGXyO12ZzokQRAEQRCEfsH4HGN2v8Uvv/wy4XdVVamuruaPf/wjEydONCcoQRByknBEZUNdKy2+UL+/9rYmL7e98TWeQJhDdy/nPGm0IwiCkFF2KcEyXVpaWgAYOXKkyZEIgiAIgiD0jpaWlk7TsvuLiRMnoihKB+H00EMP5amnnjIpKkEQco3319Yy799r2NzgMTWOvYYW8tj5k7FYlJ4PFgRBEJJGBMskqKqqYsuWLRQVFSV0scw0brebkSNHsmXLlh7buwuZQcbcHGTc+x8Z8/5Hxrz/kTHvHlVVaWlpoaqqytQ4NmzYkPC7xWJhyJAhuFwukyISBCHXeHdNDVc8v5JQRMVltzC40EkfLtM6xWG1MGPCUK46Zk8KnLKsFgRByDRyZU0Ci8XCiBEj+u31iouLZaHVz8iYm4OMe/8jY97/yJj3PzLmXWOms9Jg9OjRZocgCEIOs7XRwzUvf0EoonLqxCruOn1/6cwtCIIwALGYHYAgCIIgCIIw8HnvvfeYMGFCpzXBm5ub2Wefffjwww9NiEwQhFxi3r/X0OIPMWlUKfedeYCIlYIgCAMUESwFQRAEQRCEPuehhx7i0ksv7dT9WlJSwq9+9SseeOABEyITBCFXWPZ9PQu/rcVqUbjvzAOwWWU5KwiCMFCRK3wW4XQ6mTdvHk6n0+xQdhlkzM1Bxr3/kTHvf2TM+x8Z8+zmiy++YNasWV3uP+6441ixYkU/RiQIQq7xyMJ1AJx7yCj2GFJocjSCIAhCX6Ko7Vs0CoIgCIIgCEKGcblcrF69mrFjx3a6f/369ey33354vd5+jix3cLvdlJSU0NzcLHVahV2O1duaOelPH2G1KHx4/XSqSvPMDkkQBEFIkVQ+y4jDUhAEQRAEQehzhg8fzurVq7vc/+WXXzJs2LB+jEgQhFzirx9tAODE/YaJWCkIgrALIIKlIAiCIAiC0OeccMIJ3Hzzzfh8vg77vF4v8+bN46STTjIhMkEQsp2dLX7e+GI7AL+YNsbkaARBEIT+wGZ2AIIgCIIgCMLA56abbuLVV19lr732Yvbs2ey9994AfPvttzz66KOEw2F+97vfmRylIAjZyL9XbSMUUTlgZCn7jyg1OxxBEAShHxDBUhAEQRAEQehzhg4dytKlS7n88suZO3cuRhl1RVGYOXMmjz76KEOHDjU5SkEQspH/W7kNgJ8cONzkSARBEIT+YpdMCb/rrrs4+OCDKSoqoqKiglNPPZW1a9cmHOPz+bjyyisZNGgQhYWFnHHGGezYsSPhmKuuuorJkyfjdDqZOHFip6/18ssvM3HiRPLz8xk9ejT33ntvUjG+8sorjBs3DpfLxX777cfbb7+dsP/VV1/luOOOY9CgQSiKwqpVq5J63oaGBs477zyKi4spLS3lkksuobW1NeHvvvDCC9lvv/2w2WyceuqpST1vT8iYdz3ma9euZfr06QwdOhSXy8Xuu+/OTTfdRDAYTOr5u0LGvOsx37hxI4qidPhavnx5Us/fHTLuXY/773//+07HvaCgIKnn7woZ867HvDcxd8euPOZ/+MMfOOyww8jPz6e0tLTTY5L5u3ZVRo8ezdtvv01dXR0ff/wxy5cvp66ujrfffpsxYyTNUxCEjny93c031W4cVgs/PqDK7HAEQRCEfmKXFCwXLVrElVdeyfLly1mwYAHBYJDjjjuOtra26DFXX301b7zxBq+88gqLFi1i+/btnH766R2e6+KLL+anP/1pp6/zzjvvcN5553HZZZexevVq/vd//5cHH3yQP//5z93Gt3TpUs455xwuueQSPv/8c0499VROPfXUhEL1bW1tHHHEEdx9990p/e3nnXcea9asYcGCBbz55pssXryYX/7yl9H94XCYvLw8rrrqKmbMmJHSc3eHjHnXY2632/n5z3/Ou+++y9q1a3nooYd44oknmDdvXkqv0x4Z867H3OC///0v1dXV0a/Jkyen9DqdIePe9bhfe+21CeNdXV3NhAkTOPPMM1N6nfbImHc95unG3BO78pgHAgHOPPNMLr/88m6P6+7vEqCsrIyDDz6YQw45hLKyMrPDEQQhi/m/lVsBmDGhgtJ8h8nRCIIgCP2GKqi1tbUqoC5atEhVVVVtampS7Xa7+sorr0SP+eabb1RAXbZsWYfHz5s3Tz3ggAM6bD/nnHPUn/zkJwnbHnnkEXXEiBFqJBLpMp6zzjpLPfHEExO2TZkyRf3Vr37V4dgNGzaogPr555939yeqqqqqX3/9tQqon376aXTbO++8oyqKom7btq3D8RdccIF6yimn9Pi86SBj3vmYG1x99dXqEUcc0ePzp4KMeWzMU3m+3iLj3vVcX7VqlQqoixcv7vH5U0HGPDbm6cacKrvKmMfz9NNPqyUlJd0e09XfJQjp0tzcrAJqc3Oz2aEIQr8QCIXVybe/q46+4U31v1/XmB2OIAiC0EtS+SyzSzos29Pc3AxAeXk5ACtWrCAYDCY4DMeNG8eoUaNYtmxZ0s/r9/txuVwJ2/Ly8ti6dSubNm3q8nHLli3r4G6cOXNmSq/d1fOWlpZy0EEHRbfNmDEDi8XCxx9/3KvnThUZ867HfP369cyfP5+jjjqqV6/dHhnzjmN+8sknU1FRwRFHHMHrr7/eq9ftChn3ruf6k08+yV577cW0adN69drtkTGPjXm6MafKrjLmgiAIQv+y+Lud1LUGGFzo4Mi9hpgdjiAIgtCP7PKCZSQS4Te/+Q2HH344++67LwA1NTU4HI4OtamGDh1KTU1N0s89c+ZMXn31VRYuXEgkEuG7777j/vvvB6C6urrLx9XU1HQoOp/qa3f1vBUVFQnbbDYb5eXlvX7uVJAx73zMDzvsMFwuF3vuuSfTpk3jtttu69VrxyNjnjjmhYWF3H///bzyyiu89dZbHHHEEZx66qkZFy1l3Lu+vvh8Pp5//nkuueSSXr1ue2TME8c83ZhTYVcacyH76Kw27rhx46L7jz766A77L7vssoTn2Lx5MyeeeCL5+flUVFRw3XXXEQqFEo754IMPOPDAA3E6nYwdO5ZnnnmmQyyPPvoou+22Gy6XiylTpvDJJ58k7E+mrqsgCIn8c4WWDn7KxOHYrbv80lUQBGGXYpe/6l955ZWsXr2aF198MePPfemllzJ79mxOOukkHA4Hhx56KGeffTYAFouFzZs3U1hYGP268847M/bal112WcJzZxMy5p3z0ksvsXLlSl544QXeeust7rvvvozFJmOeyODBg5kzZw5Tpkzh4IMP5o9//CPnn39+RpqRxCPj3jWvvfYaLS0tXHDBBRmLC2TMU405E8iYC2azzz77JNTG/eijjxL2X3rppQn777nnnui+cDjMiSeeSCAQYOnSpfztb3/jmWee4ZZbbokes2HDBk488USmT5/OqlWr+M1vfsMvfvEL/vOf/0SPeemll5gzZw7z5s1j5cqVHHDAAcycOZPa2troMcnWdRUEQaPJE2DhN9o59JPJI0yORhAEQehvbGYHYCazZ8+ONikYMSL2JlhZWUkgEKCpqSnBHbJjxw4qKyuTfn5FUbj77ru58847qampYciQISxcuBCA3XffnbKysoSupEYqXWVlZYc77qm+9m233ca1116bsK2ysjLhgzNAKBSioaEhpefuDTLmXY/5yJEjAZgwYQLhcJhf/vKXXHPNNVit1qRj6AwZ8+Tm+ZQpU1iwYEHSr90TMu7dj/uTTz7JSSed1MEF1xtkzDuOeU8x95ZdbcyF7MRms3X7v83Pz+9y/7vvvsvXX3/Nf//7X4YOHcrEiRO5/fbbueGGG/j973+Pw+HgscceY8yYMVF37/jx4/noo4948MEHmTlzJgAPPPAAl156KRdddBEAjz32GG+99RZPPfUUv/3tb2lubuavf/0rL7zwAscccwwATz/9NOPHj2f58uUceuihmRwSQRgQvPHFdgLhCBOGFTN+WLHZ4QiCIAj9zC7psFRVldmzZ/Paa6/x3nvvMWbMmIT9kydPxm63RxdFAGvXrmXz5s1MnTo15dezWq0MHz4ch8PBP/7xD6ZOncqQIUOw2WyMHTs2+mUstKZOnZrw2gALFixI6bUrKioSntt43qamJlasWBE97r333iMSiTBlypSU/65UkDFPbcwjkQjBYJBIJJLKn52AjHlqY75q1SqGDRuWyp/cKTLuPY/7hg0beP/99zOWDi5j3vOYdxVzuuyqYy5kJ+vWraOqqordd9+d8847j82bNyfsf/755xk8eDD77rsvc+fOxePxRPctW7aM/fbbL+HmycyZM3G73axZsyZ6THc1UQOBACtWrEg4xmKxMGPGjOgx6dZ19fv9uN3uhC9B2FX458ptAJwh7kpBEIRdkl3SYXnllVfywgsv8O9//5uioqJoTauSkhLy8vIoKSnhkksuYc6cOZSXl1NcXMyvf/1rpk6dmnAHfP369bS2tlJTU4PX6426PCZMmIDD4aCuro5//vOfHH300fh8Pp5++uloGlB3/M///A9HHXUU999/PyeeeCIvvvgin332GY8//nj0mIaGBjZv3sz27dsBbSEImqukKxfB+PHjmTVrFpdeeimPPfYYwWCQ2bNnc/bZZ1NVVRU97uuvvyYQCNDQ0EBLS0v075o4cWJK4xyPjHnXY/78889jt9vZb7/9cDqdfPbZZ8ydO5ef/vSn2O329AYcGfPuxvxvf/sbDoeDSZMmAfDqq6/y1FNP8eSTT6Yx0onIuHd/fQF46qmnGDZsGMcff3xqg9sFMuZdj3m6MffErjrmoNU7NB4bDoejMY8dOzaaOt7T3yVkjilTpvDMM8+w9957U11dza233sq0adNYvXo1RUVFnHvuuYwePZqqqiq+/PJLbrjhBtauXcurr74KdF3v1NjX3TFutxuv10tjYyPhcLjTY7799tvoc6RT1/Wuu+7i1ltvTX1gBCHHWbejhS+2NGGzKJwysarnBwiCIAgDjz7tV56lAJ1+Pf3009FjvF6vesUVV6hlZWVqfn6+etppp6nV1dUJz3PUUUd1+jwbNmxQVVVVd+7cqR566KFqQUGBmp+frx577LHq8uXLk4rx5ZdfVvfaay/V4XCo++yzj/rWW28l7H/66ac7fe158+Z1+7z19fXqOeecoxYWFqrFxcXqRRddpLa0tCQcM3r06E6fuzfImHc95i+++KJ64IEHqoWFhWpBQYE6YcIE9c4771S9Xm9ScXeFjHnXY/7MM8+o48ePV/Pz89Xi4mL1kEMOUV955ZWkYu4JGffury/hcFgdMWKEeuONNyYVazLImHc95r2JuTt25TG/4IILOn3c+++/n/TfJfQdjY2NanFxsfrkk092un/hwoUqoK5fv15VVVW99NJL1eOOOy7hmLa2NhVQ3377bVVVVXXPPfdU77zzzoRj3nrrLRVQPR6Pum3bNhVQly5dmnDMddddpx5yyCGqqqrq888/rzocjg7xHHzwwer111/f5d/j8/nU5ubm6NeWLVtUQG1ubu5hJAQht7nz7a/V0Te8qf7ib5+aHYogCIKQQZqbm5P+LKOoqqrSA+mkn/z/9u48vKky+wP4N02bpFvSfaOllJ2yKggU2UWKIoowjjKOVsEFBuQBhkFxGDYVHBwEHFB+MyjojIyA4kYVZEewrQqt7AhYKNCNtnRvkzS5vz/S3BK65bbZ2n4/z9NnaPL25uSdVi6n57xHreY5I0RERETkWPfccw/GjBmDlStX1nqurKwMPj4+2L17N+Lj47F48WJ89dVXFmehpqeno2PHjjhx4gTuuusuDB8+HHfffTfWrl0rrtm8eTPmzJmDoqIi6HQ6eHl54dNPP8XEiRPFNQkJCSgsLMSXX36JAwcO4L777sOtW7csqiyjo6MxZ84czJ0716r3VlxcDI1Gg6KiIt5rU6tVZTBiyJsHkFuixf891R/xPR1z1j4REdmflHsZq86w9PPzg7+/v9UfAQEB+O2332zyZoiIiIiIrFFaWorLly/XeyaxOTFpfj4uLg6nTp2yGGC1d+9eqNVqxMbGimsaOhNVoVCgf//+FmuMRiP2798vrrH1ua5Erdn3F/OQW6KFv5cHRnULcXY4RETkJFafYfnpp5+Kh9k3RBAEPPjgg80KioiIiIioMfPnz8eECRMQHR2NzMxMLFmyBHK5HFOmTMHly5exdetWPPjggwgMDMTJkycxd+5cDB8+HH369AEAjB07FrGxsXjqqaewatUqZGdnY9GiRZg5cyaUSiUAYPr06Vi/fj0WLFiAqVOn4sCBA9i+fTsSExPFOObNm4eEhAQMGDAAAwcOxNq1a1FWViZODbf2XFciAj5KugIAePSuSCjc2+SMWCIigpUJy+joaAwfPhyBgYFWXbRjx47NGhZCRERERNSY69evY8qUKcjPz0dwcDCGDh2K5ORkBAcHo7KyEvv27ROTh1FRUZg8eTIWLVokfr1cLseuXbswY8YMxMXFwdvbGwkJCVi+fLm4JiYmBomJiZg7dy7WrVuHyMhIbNq0CfHx8eKaxx9/HDdv3sTixYuRnZ2Nfv36Yffu3RaDeNasWQM3NzdMnjwZWq0W8fHxePfddx2zUUQtRHpeGQ5euAmZDHg6LtrZ4RARkRNZdYYlERERERE5F8+wpNZu6VdnsOWHKxjdPQQfPHOPs8MhIiIbs/kZloDpAHIiIiIiIiIiW7tZosW2n64BABKGdHBuMERE5HRWJyw7deqEmJgYTJ06Ff/5z39w/fp1e8ZFREREREREbcR7hy6jQm9A30gNhncJcnY4RETkZFYP3Tlw4AAOHTqEQ4cO4X//+x90Oh06duyI0aNHY9SoURg1apTFOT1EREREREREjTmbWSwO2/nz2G6QyWTODYiIiJzO6oTlyJEjMXLkSABAZWUlfvjhBzGB+eGHH0Kv16N79+44c+aMvWIlIiIiIiKiVqSoQo8521JRZRQwrmcYhncNdnZIRETkApo1dEen0+HYsWP49ttv8X//938oLS2FwWCwZXxERERERAQO3SH7qNAZsP98Dkoqqxz+2nqDER8lXcWl3FKE+Cqx66WhCFGrHB4HERE5hpR7GasrLAFTgjI5ORkHDx7EoUOHkJKSgqioKAwfPhzr16/HiBEjmhW4qzIajcjMzISvry/bE4iIiKhFEgQBJSUliIiIgJub1ceYE1Er9tOVAsz473HkleqcGkeQjwJbnh3IZCUREYmsTliOHj0aKSkpiImJwYgRI/Diiy9i69atCA8Pt2d8LiEzMxNRUVHODoOIiIio2a5du4bIyEhnh0FETnb6RhGeej8FlXoj2vl5oke4c6p2u4b64IXhHeHnpXDK6xMRkWuyOmH5/fffIzw8HKNHj8bIkSMxYsQIBAYG2jM2l+Hr6wvAdIPP9hsiIiJqiYqLixEVFSXe1xBR21WhM2D2J6mo1BsxrEsQ/vXUAHgq5M4Oi4iISGR1wrKwsBDff/89Dh06hL///e+YMmUKunbtihEjRogJzODg1nlAsrkNXK1WM2FJRERELRqPtyGif3//G367WYZQtRLvPHEXk5VERORyrE5Yent7Y9y4cRg3bhwAoKSkBEePHsXBgwexatUqPPnkk+jSpQtOnz5tt2CJiIiIiIio6fJKtdh4+DIAYNH4WPh7sxWbiIhcT5NPXPf29kZAQAACAgLg7+8Pd3d3nDt3zpaxERERERERkQ199MMVlOsM6BOpwUN9Wv88AiIiapmsrrA0Go34+eefcejQIRw8eBDHjh1DWVkZ2rVrh1GjRmHDhg0YNWqUPWMlIiKyG0EQUGUU4CHn9GQiImqdKnQG/Cf5KgBg+ohOPCKCiIhcltUJSz8/P5SVlSEsLAyjRo3CmjVrMHLkSHTq1Mme8RERETnEcx/+jLNZxdg3bwS8lVb/9UhERNRifHbiOm6V6xEV4In4nmHODoeIiKheVv+L7K233sKoUaPQtWtXe8ZDRETkFPvP5wIA9p3LwSP92jk5GiIiItv7b3V15bNDYiB3Y3UlERG5Lqv73l588UV07doVBw8erHfNhg0bbBIUERGRIwmCIP75RmGFEyMhIiKyjzOZRTifXQKFuxsm3x3p7HCIiIgaJPmgrkmTJuH48eO1Hl+3bh0WLlxok6CIiIgcSW+oSViu2n0BZdoqJ0ZDRERke58evw4AuD82FBovDydHQ0RE1DDJCcu33noLDzzwAM6fPy8+tnr1aixevBiJiYk2DY6IiMgRKvQGi8+v3Sp3UiRERES2p6sy4su0TADA71hdSURELYDkqQLPPfccCgoKMGbMGBw9ehTbtm3DihUr8M033+Dee++1R4xERER2pb0jYSkDz/UiIqLW49CFXBSU6RDsq8SwLkHODoeIiKhRTRqDumDBAuTn52PAgAEwGAzYs2cPBg8ebOvYiIiIHOLOCktdldFJkRAREdmeuR380bvawV0uucmOiIjI4axKWL7zzju1HmvXrh28vLwwfPhw/Pjjj/jxxx8BALNnz7ZthERERHZWqbdMUOoMhnpWEhERtSz5pVocOJ8LABy2Q0RELYZVCcs1a9bU+bhcLsexY8dw7NgxAIBMJmPCkoiIWpzKOyostaywJCKiVuKrXzJRZRTQu50G3cJ8nR0OERGRVaxKWKanp9s7DiIiIqdhSzgREbVWn50wtYP/rj+rK4mIqOXgASZERNTmFVfoLT7XGwQnRUJERGQ757OLcfpGMTzkMjzcN8LZ4RAREVnNqoTlvHnzUFZWZvVFFy5ciIKCgiYHRURE5Egv/Oe4xeessCQiotbg059N1ZVjeoTC31vh5GiIiIisZ1XCct26dSgvL7f6ohs2bEBhYWFTYyIiInIqDt0hIqKWTm8w4ou0GwDYDk5ERC2PVWdYCoKArl27QiaTWXVRKdWYREREzlSuq6r1GCssiYiopTt04SbySnUI8lFieNdgZ4dDREQkiVUJy82bN0u+cGhoqOSvISIicqSsogocu5Rf63EmLImIqKX79Pg1AMCjd0XAQ87RBURE1LJYlbBMSEiwdxxEREQOF7fygPjnAG8FhnYOwle/ZELHoTtERNSC5ZZU4sD5XADA7/pHOTkaIiIi6firNiIiIgDt/DyhcDf9tcgKSyIiask+Ts6A3iCgf7Q/uoX5OjscIiIiyZiwJCIiAhDko2DCkoiIWjxtlQEfp2QAAJ69t4NzgyEiImoiJiyJiIgAPNArHIrqM744JZyIiFqqr3/JQl6pFmFqFeJ7hjk7HCIioiZhwpKIiAhAv/Z+ULLCkoiIWjC9wYj1By4CABKGdOCwHSIiarEk/Q2m1+vh7u6O06dP2yseIiIip/D0kIv/sGPCkoiIWqJPfrqGK/nlCPRW4Om4aGeHQ0RE1GSSEpYeHh5o3749DGyVIyKiVsZTIa85w9LAhCUREbUsmYUVWPXteQDAS6M7w1vp7uSIiIiImk5yj8Bf//pXvPrqqygoKLBHPERERE7hpZAjXKMCAJy+UezkaIiIiKx3s0SLqVt+Qom2Cv2i/PBUXAdnh0RERNQskn/ttn79ely6dAkRERGIjo6Gt7e3xfMnTpywWXBERET2YjAKFp+r3OUY1T0EMhlw6kYRCsp0CPBWOCk6IiJqSXJLKrFq9wVcyC5xyuun55WhVFuFYF8l/jnlLsjdZE6Jg4iIyFYkJywnTpxohzCIiIgcS39H27ebmwxBPkqE+CqRU6zF9VvlTFgSEVGjCst1+P3GJFzJL3dqHD0j1Fj7eD9EBXg5NQ4iIiJbkJywXLJkic1e/L333sN7772HK1euAAB69uyJxYsX44EHHgAAVFZW4s9//jM++eQTaLVaxMfH491330VoaKh4jYyMDMyYMQMHDx6Ej48PEhISsHLlSri717y1Q4cOYd68eThz5gyioqKwaNEiPPPMMzZ7H0RE1PLUd05luMYTOcVaZBZWoE+kn2ODIiKiFufvu8/jSn45Iv098eqDPeCpkDs8BrXKA/2i/FhZSURErUaTTmIuLCzEp59+isuXL+Mvf/kLAgICcOLECYSGhqJdu3ZWXycyMhJvvvkmunTpAkEQ8OGHH+KRRx5Bamoqevbsiblz5yIxMRE7duyARqPBrFmzMGnSJBw7dgwAYDAYMH78eISFheGHH35AVlYWnn76aXh4eGDFihUAgPT0dIwfPx7Tp0/Hxx9/jP379+O5555DeHg44uPjm/L2iYioFagyCHU+3s7PE2nXCpFZWOngiIiIqKU5l1WMT366BgBY+3g/DOgQ4OSIiIiIWgfJCcuTJ09izJgx0Gg0uHLlCp5//nkEBARg586dyMjIwEcffWT1tSZMmGDx+RtvvIH33nsPycnJiIyMxPvvv4+tW7di9OjRAIDNmzejR48eSE5OxuDBg/Hdd9/h7Nmz2LdvH0JDQ9GvXz+89tprePnll7F06VIoFAps3LgRMTExWL16NQCgR48eOHr0KNasWcOEJRFRG3ZnS7iZefBOVlGFI8MhIqIWaNP36RAEYHzvcCYriYiIbEjylPB58+bhmWeewcWLF6FSqcTHH3zwQRw5cqTJgRgMBnzyyScoKytDXFwcjh8/Dr1ejzFjxohrunfvjvbt2yMpKQkAkJSUhN69e1u0iMfHx6O4uBhnzpwR19x+DfMa8zXqotVqUVxcbPFBREStS30JSz8vDwBASWWVI8MhIqIWpqBMh69PZgIAnhsW4+RoiIiIWhfJCcuffvoJL774Yq3H27Vrh+zsbMkBnDp1Cj4+PlAqlZg+fTo+//xzxMbGIjs7GwqFAn5+fhbrQ0NDxdfJzs62SFaanzc/19Ca4uJiVFTUXT2zcuVKaDQa8SMqKkry+yIiItemr6clXOVhOnusUm9wZDhERNTCfJl2A7oqI3pGqNEvys/Z4RAREbUqkhOWSqWyzorDX3/9FcHBwZID6NatG9LS0pCSkoIZM2YgISEBZ8+elXwdW1q4cCGKiorEj2vXrjk1HiIisr2q2yospw2tqYxRignLuiswiYiIACDxZBYAYPLdkZDJOOyGiIjIliQnLB9++GEsX74cer0eACCTyZCRkYGXX34ZkydPlhyAQqFA586d0b9/f6xcuRJ9+/bFunXrEBYWBp1Oh8LCQov1OTk5CAsLAwCEhYUhJyen1vPm5xpao1ar4enpWWdMSqUSarXa4oOIiFoX85Rwtcodf3soVnxc5W76q7GyihWWRERUt8zCCvx89RYA4MHe4U6OhoiIqPWRnLBcvXo1SktLERISgoqKCowYMQKdO3eGr68v3njjjWYHZDQaodVq0b9/f3h4eGD//v3icxcuXEBGRgbi4uIAAHFxcTh16hRyc3PFNXv37oVarUZsbKy45vZrmNeYr0FERG2TeUq4r8rD4nG2hBMRUWP2nTMVRAyI9keYRtXIaiIiIpJK8pRwjUaDvXv34ujRozh58iRKS0tx99131xpsY42FCxfigQceQPv27VFSUoKtW7fi0KFD2LNnDzQaDaZNm4Z58+YhICAAarUaL730EuLi4jB48GAAwNixYxEbG4unnnoKq1atQnZ2NhYtWoSZM2dCqVQCAKZPn47169djwYIFmDp1Kg4cOIDt27cjMTFRcrxERNR6mIfueMgt2/iU5gpLtoQTEVE9Dl24CQC4r0doIyuJiIioKSQnLCsrK6FSqTB06FAMHTq0WS+em5uLp59+GllZWdBoNOjTpw/27NmD+++/HwCwZs0auLm5YfLkydBqtYiPj8e7774rfr1cLseuXbswY8YMxMXFwdvbGwkJCVi+fLm4JiYmBomJiZg7dy7WrVuHyMhIbNq0CfHx8c2KnYiIWjadmLC0bDZghSURETWkUm9A0uV8AMCIrtLP8CciIqLGSU5Y+vn5YeDAgRgxYgRGjRqFuLi4es+CbMz777/f4PMqlQobNmzAhg0b6l0THR2Nb775psHrjBw5EqmpqU2KkYiIWidzS7h7PQlLbRUrLImIqLafrhSgQm9AiK8SPcJ9nR0OERFRqyT5DMt9+/Zh3LhxSElJwcMPPwx/f38MHToUf/3rX7F37157xEhERGRz5pZwxR0t4SoP01+NWlZYEhFRHQ5Xt4OP6BrM6eBERER2IjlhOXToULz66qv47rvvUFhYiIMHD6Jz585YtWoVxo0bZ48YiYiIbE7fSIVlJSssiYioDt9fzAMAjOjGdnAiIiJ7kdwSDgC//vorDh06JH5otVo89NBDGDlypI3DIyIisg/zGZXmikozlTvPsCQioroVlOlwIacEADCkU5CToyEiImq9JCcs27Vrh4qKCowcORIjR47Eyy+/jD59+rAdgoiIWpRSbRUAwFth+VehOYFZqTdAEAT+/UZERKIf003DdrqG+iDAW+HkaIiIiFovyS3hwcHBKC8vR3Z2NrKzs5GTk4OKigp7xEZERGQ3ZdUJSx+lZcJSWd0SbhRq2saJiIgAIPm3AgDAwJgAJ0dCRETUuklOWKalpSE7OxuvvPIKtFotXn31VQQFBWHIkCH461//ao8YiYiIbK5MZ2r59lbWXWEJAJVVbAsnIqIaKemmhOWgmEAnR0JERNS6NekMSz8/Pzz88MO49957MWTIEHz55Zf43//+h5SUFLzxxhu2jpGIiMjmzBWWXkq5xeMKuRtkMkAQTG3hapWHM8IjIiIXU1Sux/nsYgDAoI6ssCQiIrInyQnLnTt3isN2zp49i4CAAAwdOhSrV6/GiBEj7BEjERGRzYkt4XecYSmTyaB0d0Ol3gitnpPCiYjI5McrBRAEoGOQN0J8Vc4Oh4iIqFWTnLCcPn06hg8fjhdeeAEjRoxA79697REXERGRXf10xdTWd2dLOACoPOSo1Bs5KZyIiEQpv5kG7rC6koiIyP4kJyxzc3PtEQcREZHDpF0rxOWbZQBqD90BAJW7HIAe2ipWWBIRkQnPryQiInKcJp1haTAY8MUXX+DcuXMAgNjYWDzyyCOQy+WNfCUREZHzHfn1pvhnd7ms1vPmwTussCQiIgAortTjTGYRAFZYEhEROYLkhOWlS5fw4IMP4saNG+jWrRsAYOXKlYiKikJiYiI6depk8yCJiIhsKdhXKf7ZYBRqPa/yMP0CrpJnWBIREYDjV27BKADtA7wQrvF0djhEREStnpvUL5g9ezY6deqEa9eu4cSJEzhx4gQyMjIQExOD2bNn2yNGIiIimzIP3AGA8X3Caz2vFBOWrLAkIiIgOb36/MoYVlcSERE5guQKy8OHDyM5ORkBATV/WQcGBuLNN9/Evffea9PgiIiI7KG0OmH5h0Ht4aWo6wzL6pbwKiYsiYgISPmt+vzKjjy/koiIyBEkV1gqlUqUlJTUery0tBQKhcImQREREdmTucKyroE7AFvCiVqKpUuXQiaTWXx0794dAFBQUICXXnoJ3bp1g6enJ9q3b4/Zs2ejqKjI4hp3fr1MJsMnn3xisebQoUO4++67oVQq0blzZ2zZsqVWLBs2bECHDh2gUqkwaNAg/PjjjxbPV1ZWYubMmQgMDISPjw8mT56MnJwc224I2UWptgqnbpi+bwbz/EoiIiKHkJywfOihh/DCCy8gJSUFgiBAEAQkJydj+vTpePjhh+0RIxERkU2Vak2Vk951VFcCgNKdQ3eIWoqePXsiKytL/Dh69CgAIDMzE5mZmfjHP/6B06dPY8uWLdi9ezemTZtW6xqbN2+2uMbEiRPF59LT0zF+/HiMGjUKaWlpmDNnDp577jns2bNHXLNt2zbMmzcPS5YswYkTJ9C3b1/Ex8cjNzdXXDN37lx8/fXX2LFjBw4fPozMzExMmjTJfhtDNvPzlQIYjAKiAjwR6e/l7HCIiIjaBMkt4e+88w4SEhIQFxcHDw8PAEBVVRUefvhhrFu3zuYBEhER2Zq5JdxH1ViFJROWRK7O3d0dYWFhtR7v1asXPvvsM/HzTp064Y033sAf//hHVFVVwd295uffz8+vzmsAwMaNGxETE4PVq1cDAHr06IGjR49izZo1iI+PBwC8/fbbeP755/Hss8+KX5OYmIgPPvgAr7zyCoqKivD+++9j69atGD16NABTkrRHjx5ITk7G4MGDbbMZZBfJ1e3gg2PYDk5EROQokiss/fz88OWXX+LChQvYsWMHPv30U1y4cAGff/45NBqNPWIkIiKyqZqWcHmdz6s8TH89aqvYEk7k6i5evIiIiAh07NgRTz75JDIyMupdW1RUBLVabZGsBICZM2ciKCgIAwcOxAcffABBEMTnkpKSMGbMGIv18fHxSEpKAgDodDocP37cYo2bmxvGjBkjrjl+/Dj0er3Fmu7du6N9+/bimrpotVoUFxdbfJDjJf9mGrgzmOdXEhEROYzkCkuzLl26oHPnzgBMZ/8QERG1FOYKS+9GzrDUssKSyKUNGjQIW7ZsQbdu3ZCVlYVly5Zh2LBhOH36NHx9fS3W5uXl4bXXXsMLL7xg8fjy5csxevRoeHl54bvvvsOf/vQnlJaWYvbs2QCA7OxshIaGWnxNaGgoiouLUVFRgVu3bsFgMNS55vz58+I1FAoF/Pz8aq3Jzs6u9/2tXLkSy5Ytk7QnZFu3n185iOdXEhEROYzkCksAeP/999GrVy+oVCqoVCr06tULmzZtsnVsREREdlFcoQcA+Ko86nxebAlnhSWRS3vggQfw2GOPoU+fPoiPj8c333yDwsJCbN++3WJdcXExxo8fj9jYWCxdutTiub/97W+49957cdddd+Hll1/GggUL8NZbbznwXdRv4cKFKCoqEj+uXbvm7JDaHJ5fSURE5BySKywXL16Mt99+Gy+99BLi4uIAmFpl5s6di4yMDCxfvtzmQRIREdlSXqkOABDko6jzeRWH7hC1SH5+fujatSsuXbokPlZSUoJx48bB19cXn3/+uXgGe30GDRqE1157DVqtFkqlEmFhYbWmeefk5ECtVsPT0xNyuRxyubzONeZzMcPCwqDT6VBYWGhRZXn7mroolUoolUpr3z7ZAc+vJCIicg7JFZbvvfce/v3vf2PlypV4+OGH8fDDD2PlypX417/+hXfffdceMRIREdmM0SigoEwLAAjyqTsRoOTQHaIWqbS0FJcvX0Z4eDgAU2Xl2LFjoVAo8NVXX0GlUjV6jbS0NPj7+4uJwri4OOzfv99izd69e8Vf3CsUCvTv399ijdFoxP79+8U1/fv3h4eHh8WaCxcuICMjQ1xDrun7izcBAHGdmLAkIiJyJMkVlnq9HgMGDKj1eP/+/VFVVWWToIiIiOzlVrkOxup5GgHe9VRYiglLtoQTubL58+djwoQJiI6ORmZmJpYsWQK5XI4pU6aIycry8nL897//tRhaExwcDLlcjq+//ho5OTkYPHgwVCoV9u7dixUrVmD+/Pnia0yfPh3r16/HggULMHXqVBw4cADbt29HYmKiuGbevHlISEjAgAEDMHDgQKxduxZlZWXi1HCNRoNp06Zh3rx5CAgIgFqtFruVOCHcdeUWV+JMpul7ZnjXYCdHQ0RE1LZITlg+9dRTeO+99/D2229bPP6vf/0LTz75pM0CIyIisof8MlM7uJ+XBzzkdTcamKeEs8KSyLVdv34dU6ZMQX5+PoKDgzF06FAkJycjODgYhw4dQkpKCgCIgyLN0tPT0aFDB3h4eGDDhg2YO3cuBEFA586d8fbbb+P5558X18bExCAxMRFz587FunXrEBkZiU2bNiE+Pl5c8/jjj+PmzZtYvHgxsrOz0a9fP+zevdtiEM+aNWvg5uaGyZMnQ6vVIj4+nt1JLu7Qr6bqyj6Rmnor8omIiMg+ZIIgCFK+4KWXXsJHH32EqKgo8TfCKSkpyMjIwNNPP21xLtCdSc2Wqri4GBqNBkVFRVCr1c4Oh4iImuGHS3n4w6YUdAr2xv4/j6xzzafHr2P+jl8wvGswPpo60LEBEtkJ72daPv5/6FgzPz6BxFNZmH1fF8y7v6uzwyEiImrxpNzLSK6wPH36NO6++24AwOXLlwEAQUFBCAoKwunTp8V1MplM6qWJiIjsLru4EgAQpqn/LDtWWBIRtW1VBiOOVJ9fObIb28GJiIgcTXLC8uDBg/aIg4iIyCGyiqoTlmrPeteo3E1nWGqZsCQiapOSfstHSWUVArwV6Bvp5+xwiIiI2hzJU8KJiIhasuzqhGV4gxWW1QnLKg7dISJqi77+JRMA8ECvMMjd2DlGRETkaE5NWK5cuRL33HMPfH19ERISgokTJ+LChQsWayorKzFz5kwEBgbCx8cHkydPRk5OjsWajIwMjB8/Hl5eXggJCcFf/vKXWhPLDx06hLvvvhtKpRKdO3fGli1b7P32iIjIBWUVVQBgSzgREdVNW2XA7tPZAIAJfSOcHA0REVHb5NSE5eHDhzFz5kwkJydj79690Ov1GDt2LMrKysQ1c+fOxddff40dO3bg8OHDyMzMxKRJk8TnDQYDxo8fD51Ohx9++AEffvghtmzZgsWLF4tr0tPTMX78eIwaNQppaWmYM2cOnnvuOezZs8eh75eIiJxPPMNS3XiFZaWeFZZERG3Nrl+yUFxZhXCNCvd0CHB2OERERG2S5DMsbWn37t0Wn2/ZsgUhISE4fvw4hg8fjqKiIrz//vvYunUrRo8eDQDYvHkzevTogeTkZAwePBjfffcdzp49i3379iE0NBT9+vXDa6+9hpdffhlLly6FQqHAxo0bERMTg9WrVwMAevTogaNHj2LNmjWIj493+PsmIiLnyS3WAgBCG0xYVldYVrHCkoioLREEAVt+uAIA+OPgaLaDExEROYnkCssjR47UarcGgKqqKhw5cqRZwRQVFQEAAgJMv8k8fvw49Ho9xowZI67p3r072rdvj6SkJABAUlISevfujdDQUHFNfHw8iouLcebMGXHN7dcwrzFf405arRbFxcUWH0RE1PIZjALySk0JyxC1st51SndzhSUTlkREbck3p7Jx6kYRlO5ueOKeKGeHQ0RE1GZJTliOGjUKBQUFtR4vKirCqFGjmhyI0WjEnDlzcO+996JXr14AgOzsbCgUCvj5+VmsDQ0NRXZ2trjm9mSl+Xnzcw2tKS4uRkVFRa1YVq5cCY1GI35ERfFmhYioNcgv08IoADIZEOitqHfd7S3hgiA4KjwiInKi7KJKvLbrLABg+ohOCPSp/xdbREREZF+SW8IFQYBMVrs1Ij8/H97e3k0OZObMmTh9+jSOHj3a5GvYysKFCzFv3jzx8+LiYiYtiYhaAXM7eKC3Eu7y+n9np/SoeU5bZRQTmEREZD8Go4BVu89j28/XoK9y/BnCFXoDjALQMcgbM0Z2cvjrExERUQ2rE5bmQTcymQzPPPMMlMqa3zgaDAacPHkSQ4YMaVIQs2bNwq5du3DkyBFERkaKj4eFhUGn06GwsNCiyjInJwdhYWHimh9//NHieuYp4revuXOyeE5ODtRqNTw9PWvFo1QqLd4fERG1DrklpoE7Ib4N/zde5V6ToNTqmbAkInKEt/dewP8d+c2pMfSJ1GDDH+7mf/eJiIiczOqEpUajAWCqsPT19bVI9CkUCgwePBjPP/+8pBcXBAEvvfQSPv/8cxw6dAgxMTEWz/fv3x8eHh7Yv38/Jk+eDAC4cOECMjIyEBcXBwCIi4vDG2+8gdzcXISEhAAA9u7dC7VajdjYWHHNN998Y3HtvXv3itcgIqK2oWbgTsMJSw+5DG4ywCiYBu9o4OGI8IiI2qxrBeXYeNiUrHxtYi+M6BLs8Bjc5TKEa1R1dpMRERGRY1mdsNy8eTMAoEOHDpg/f36z2r/NZs6cia1bt+LLL7+Er6+veOakRqOBp6cnNBoNpk2bhnnz5iEgIABqtRovvfQS4uLiMHjwYADA2LFjERsbi6eeegqrVq1CdnY2Fi1ahJkzZ4pVktOnT8f69euxYMECTJ06FQcOHMD27duRmJjY7PdAREQtR25J9cAd3/onhAOmbgKVhxzlOgMH7xAROcD7R9NhMAoY2jkITw2OdnY4RERE5GSSh+4sWLDA4reOV69exdq1a/Hdd99JfvH33nsPRUVFGDlyJMLDw8WPbdu2iWvWrFmDhx56CJMnT8bw4cMRFhaGnTt3is/L5XLs2rULcrkccXFx+OMf/4inn34ay5cvF9fExMQgMTERe/fuRd++fbF69Wps2rQJ8fHxkmMmIqKWS2wJb6TCEqgZvKN1wjlqRERtSZm2Ctt+ugbANOyGiIiISPLQnUceeQSTJk3C9OnTUVhYiIEDB0KhUCAvLw9vv/02ZsyYYfW1rJm8qlKpsGHDBmzYsKHeNdHR0bVavu80cuRIpKamWh0bERG1PuaW8MbOsAQAlbvpd3qssCQisq/953NRoTegQ6AX7u0c6OxwiIiIyAVIrrA8ceIEhg0bBgD49NNPERYWhqtXr+Kjjz7CO++8Y/MAiYiIbCXH3BKubrglHKipsKzUs8KSiMievjmZBQB4sHc4z48kIiIiAE1IWJaXl8PX1xcA8N1332HSpElwc3PD4MGDcfXqVZsHSEREZCs3i62bEg4ASjFhyQpLIiJ7qdQbcOjXXACmhCURERER0ISEZefOnfHFF1/g2rVr2LNnD8aOHQsAyM3NhVqttnmAREREtiAIAm6WSqmwZEs4EZG9/XzlFir1RoSqlegZwX9LEBERkYnkhOXixYsxf/58dOjQAQMHDkRcXBwAU7XlXXfdZfMAiYiIbOFWuR56g+ns5GAfKyoszWdYcugOEZHdfH/pJgBgaOdgtoMTERGRSPLQnd/97ncYOnQosrKy0LdvX/Hx++67D48++qhNgyNqDQRBaJE34FfyyiCTAdGB3s4ORZLMwgp8dvw6BnQIQFwnHtxPNcwTwv29PKBwb/z3dSq2hBMR2d3Ri3kAgGFdgpwcCREREbkSyQlLAAgLC0NYWBiuX78OAIiMjMTAgQNtGhhRS1epN2DW1hM4dikfz97bAQvGdXd2SFbb/vM1vPzZSQgCsPyRnng6roOzQ7JKUYUev3vvB2QWmRJTH00diOFdg50cFbmKnOoJ4aFWtIMDgMrdlLDUMmFJRGQXRRV6nM0qBgAM4S8ZiYiI6DaSW8KNRiOWL18OjUaD6OhoREdHw8/PD6+99hqMRrbNEZm9e/AS9p3LRYXegHcPXcb3F286OySrlFTq8dqusxBMnbNY+c155FWf++fq/pt8VUxWAsBbey44MRpyNbnVA3eCrRi4A9x+hiX/biMisoe0a4UQBKB9gJdVZwsTERFR2yE5YfnXv/4V69evx5tvvonU1FSkpqZixYoV+Oc//4m//e1v9oiRqMXRVRnxUfJVAIBaZSpk3nzsihMjst7u09koqaxCxyBvxIarUaE34Ku0TGeHZZWvfzHF+eqD3eEhl+HUjSJcyC5xclTkKnJLqgfu+FpZYVndEq6tYoUlEZE9nLh6CwDQP9rfyZEQERGRq5GcsPzwww+xadMmzJgxA3369EGfPn3wpz/9Cf/+97+xZcsWO4RI1PIk/ZaPwnI9gnyU+GzGEADAkV9voqhC7+TIGnf4V1Ml6EN9wvHYgEgAwO4z2c4MySq5xZU4n10CmQz4Xf8oDO9iagU/cD7XyZGRq7hpTliqra2wNJ9hyQpLIiJ7OJFhSljezYQlERER3UFywrKgoADdu9c+i6979+4oKCiwSVBELd2R6qTf/bEh6BLqi47B3qgyCkj+Ld/JkTXMYBTwffXh9yO6BWNUtxAAQGrGLZRpq5wZWqOOVMfdu50GAd4K8fD+Y5fynBkWuRDz0J0QK1vCzVPCWWFJRGR7BqOA1IxCAED/9kxYEhERkSXJCcu+ffti/fr1tR5fv369xdRworbMnJiM62RKmt1b/b8pv7l2Uv/k9UIUVeihVrmjb6QfogO9EKFRQW8QcOpGkbPDa5A5MWlOVA6MMR3e/8v1QgjmAzmpTbtVZqpwDvBWWLW+JmHJCksiIlu7mFuCUm0VvBVydAvzdXY4RERE5GIkTwlftWoVxo8fj3379iEuLg4AkJSUhGvXruGbb76xeYBELU2l3oDz1ecmDqhuceoX5Yf/JF/F6UzXTvqdvG6Kb0CHALjLTcma3pEaZBZV4vSNIgzu6LoTPM9U7635HKwuoT5QyN1QUlmFawUVaB/o5czwyAWUaE0JS7Wnh1XrFdUJSx0TlkRENnfiaiEAoG+UH+RuMucGQ0RERC5HcoXliBEj8Ouvv+LRRx9FYWEhCgsLMWnSJFy4cAHDhg2zR4xELcrFnFIYjAL8vDwQrjEN9+jVTgMAOJtZDKPRdav9zmUVAwBiw9XiY70iTLGfySx2SkzWqNQbcPlmGQCgR3XsHnI3dA83VWy4eqKYHKO4wnSsgXkQVmOU7uahO0xYEhHZmrlzo1+Un3MDISIiIpckucISACIiIvDGG2/YOhaiVuH2pJ9MZqoY6BTsDaW7G0q1VbhaUI6YIG9nhlgvc+w9bk9YVidbT7twS/il3JokcZi6ZgJ0zwgNTl4vwqkbRXiwd7gTIyRXUFxZXWGpsq7CUunBMyyJiOzF3Blhvs8gIiIiup1VCcuTJ09afcE+ffo0ORii1uBsHUk/d7kbuoer8cu1Qpy+UeSSCUuDUcCFHFMre4/wmrOkerYzvY/LN0tRrquCl6JJv+ewKzHRGlaTJAaAXtWxu3KylRxDEAQUV0hsCZezJZyIyB70BiPOZ5nuOcydHERERES3syrz0K9fP8hkskYHV8hkMhgMrEShtu1sHW3VANAzwpSwPJdVjAl9I5wRWoPS88pQqTfC00OO6MCahGqIrwpBPgrklepwObcMvSNd7x8W57LMiVbLPe8aakq8/lbdLk5tV5nOAPNpDNIrLJmwJCKypYs5pdAZjPBVuSMqwNPZ4RAREZELsiphmZ6ebu84iFqNi9VVindOvOwU7APAlBh0RZdySwGYhtXcefh9h0Bv5JXqkJ7vmgnL3/JqYr9dh+rEa2ZRBSr1Bqg85A6PjVyDubrSQy6DysO645sVcp5hSURkD+azpXtFaCw6I4iIiIjMrEpYRkdH2zsOolahqFyPW+WmxMidbd8xQaYp1a6asLyab4qrQ2DtdvUOQd74+eotXHHZ2MsBANF3TAIP8lHAV+mOEm0VrhWUo0uob11fTm1AUXXC0lflYfU/jpXurLAkIrKHMzfM51eqG1lJREREbZXkKeFEVL+rBaaEXpCPEt5Ky98HmBOBV/PLGz1ewRmu1JP0A2qSr66YsKwyGHH9lin2O5OtMpkMHapj/80FYyfHMf+iIMrf+tZDsSVcz6NOiIhs6XSm6fgcDtwhIiKi+jBhSWRD5kq/DnUk/aICvCB3k6FCb0BuidbRoTUqozrZGl1XhWX1Y+n5rpf0yyqqhN4gQOHuZjEh3KyDCydbyXEuZJuOaugqocpWHLpjYIUlEZGtGIwCzlYnLHty4A4RERHVgwlLIhsyt1XXlfTzkLshsrq6yxXbwq/k1V9h2aG6nd0Vk37mJHH7AC+4udVu9Y2pfj9XXDDZSo5z+Wbd55w2RFl95qlWz4QlEZGtpOeVokJvgJdCXuv4HCIiIiIzJiyJbOhKAxWWQE0i09USf9oqA7KKKgDUk7CsjvtWuR5F1Wd0ugpzIjI6oO49r6mwLHdYTOR6Csp0AExT761lPsOSFZZERLZz+oapujI2XF1ryB8RERGRGROWRDZkrrBsX0/C0pzIvFrgWsmz67cqYBQAL4UcwT7KWs97K90R5KMAAFy75VqxZ1TvZX17HulvejyzOiFLbZN56I7G08Pqr1G48wxLIiJbOyUO3GE7OBEREdXPqinh/v7+Vk9VLSgoaFZARC3ZtQJTUqx9PdV+7fxMLeFZha6VPLt+yxRPlL9XvT/rEX6eyCvVIbOwwqX+kXGjOnZzYvJOEX6mirqswkoYjUKdbePU+okJSy/rE5acEk5EZHunqxOWPSM4IZyIiIjqZ1XCcu3ateKf8/Pz8frrryM+Ph5xcXEAgKSkJOzZswd/+9vf7BIkUUtQZTAit6QSgCm5Vxfz45mFlQ6LyxrZ1dWH4X71t8tGaDxx8noRMl0s2ZpdXL3nmrpjD1Wr4CYztfXmlWkltQRT62E+yqApFZY6gxGCIFj9izsiIqqb8baBO670y08iIiJyPVYlLBMSEsQ/T548GcuXL8esWbPEx2bPno3169dj3759mDt3ru2jJGoBbpZqYRQAdzcZgupoqwZqqv1uuFjSL6vIlPQLryfpB9yWbC1ytWSrKZ6wemL3kLshVK1CVlElMgsrmbBsg6oMRpRoqwAAfhISlkp309AdQUD1JHomLImImiOjoBwl2ioo3N3QOcT6IWhERETU9kg+w3LPnj0YN25crcfHjRuHffv22SQoopbInDgLVavqPUTenPTLKa6EwSg4LLbG5FRXKYap664MBVwz2WowCmLs4ZqGYjdXtrpO7K2FwShg7rY0PPV+ikt9T9+uuLJK/LNaUsKy5q9IbRXPsSQiaq7TmaZ28O5hvvCQ8yh9IiIiqp/kO4XAwEB8+eWXtR7/8ssvERgYaJOgiFqixir9ANOEYrmbDFVGATdLtI4KrVHWVFi2c8GkX36pFlVGAXI3GYJ9665qBZiwtKfPjl/H56k38P3FPFx3sYFMZubzK70Vckn/QFbctlbHcyyJiJqNA3eIiIjIWpITlsuWLcPLL7+MCRMm4PXXX8frr7+OCRMm4JVXXsGyZcskXevIkSOYMGECIiIiIJPJ8MUXX1g8LwgCFi9ejPDwcHh6emLMmDG4ePGixZqCggI8+eSTUKvV8PPzw7Rp01BaWmqx5uTJkxg2bBhUKhWioqKwatUqqW+bqFFZViQs5W4yhKldr1LRmmSrKyb9zHse7KOst6oVcM3q0NZAEARs+eGK+LmrVljmlZp+ORDUQFK7Lm5uMjFpycE7RETNZx6405sJSyIiImqE5ITlM888g2PHjkGtVmPnzp3YuXMn1Go1jh49imeeeUbStcrKytC3b19s2LChzudXrVqFd955Bxs3bkRKSgq8vb0RHx+PysqaM/SefPJJnDlzBnv37sWuXbtw5MgRvPDCC+LzxcXFGDt2LKKjo3H8+HG89dZbWLp0Kf71r39JfetEDTIPfwlXN3xGoitWKko5wzK3ROsy1WbWJImBmj03TxQn20i7VoizWcXi50bBNROWucWmhGVwPWfLNkQcvOMi3/NERC2VIAg4faN64E4EE5ZERETUMKuG7txp0KBB+Pjjj5v94g888AAeeOCBOp8TBAFr167FokWL8MgjjwAAPvroI4SGhuKLL77AE088gXPnzmH37t346aefMGDAAADAP//5Tzz44IP4xz/+gYiICHz88cfQ6XT44IMPoFAo0LNnT6SlpeHtt9+2SGzeTqvVQqutadctLi6ucx3R7axNnpkncbtKwrJcVyW2zDYUe5CPAh5yGfQGAbkllYj093JUiPUSp5s3sufmQTs5LtSG3xrsOZNj8bnBRXN6uSWmn80QtfSEpdLdDaVaVlgSETXX9VsVKKrQw0MuQ9cwDtwhIiKihjXptOvLly9j0aJF+MMf/oDc3FwAwLfffoszZ87YLLD09HRkZ2djzJgx4mMajQaDBg1CUlISACApKQl+fn5ishIAxowZAzc3N6SkpIhrhg8fDoVCIa6Jj4/HhQsXcOvWrTpfe+XKldBoNOJHVFSUzd4XtV41ybP6h78ApqE8gKlS0RWY28F9lO7wVdU/kEQmk4kVai4Te3XlXGNJYnOiKs9F4m4tvr940+JzV20JN58X25QJ8ebBOxy6Q0TUPObzK7uF+ULpLndyNEREROTqJCcsDx8+jN69eyMlJQWfffaZeF7kL7/8giVLltgssOzsbABAaGioxeOhoaHic9nZ2QgJCbF43t3dHQEBARZr6rrG7a9xp4ULF6KoqEj8uHbtWvPfELV61lZYhvi6WNJPnG7eePVZsDnZWuwqsVtbYWl6bzdLtBBctG25pckr1eJMpqn63L36/FBXbQk3JywbGsxUH7aEExHZximeX0lEREQSSE5YvvLKK3j99dexd+9ei6rF0aNHIzk52abBOYtSqYRarbb4IGqI0Sggp7jxcyCBmqTJzZLKBtc5Ss35lQ1XhgK3J/5cK/bQRs4NNe+5zmBEYbne7nG1BUmX8wEAPcLV4veFqyYsy3RVAAC1SvopKOYqILaEExE1z2lOCCciIiIJJCcsT506hUcffbTW4yEhIcjLy7NJUAAQFhYGAMjJsTwjLScnR3wuLCxMbEk3q6qqQkFBgcWauq5x+2sQNVd+mQ56gwA3WeNVXOa2VJepsCy2rjIUsKxUdAXioKNGkq1Kdzn8vEzt7q6y7y1d2rVCAMDADv5wq66wdNWW8HKdqZ1b5SG9BVHpwQpLIqLmMg3cYYUlERERWU9ywtLPzw9ZWVm1Hk9NTUW7du1sEhQAxMTEICwsDPv37xcfKy4uRkpKCuLi4gAAcXFxKCwsxPHjx8U1Bw4cgNFoxKBBg8Q1R44cgV5fU1W1d+9edOvWDf7+/jaLl9o2c1t1sK8SHvKGf6zM5ynedJm2ausqQwHXSrYKgmDVdHOzmlZ816gObelOXi8EAPSJ9IObzLVbwiuqE5aeCukJS4WcZ1gSETXXjcIK3Co3DdzpFubr7HCIiIioBZCcsHziiSfw8ssvIzs7GzKZDEajEceOHcP8+fPx9NNPS7pWaWkp0tLSkJaWBsA0aCctLQ0ZGRmQyWSYM2cOXn/9dXz11Vc4deoUnn76aURERGDixIkAgB49emDcuHF4/vnn8eOPP+LYsWOYNWsWnnjiCURERAAA/vCHP0ChUGDatGk4c+YMtm3bhnXr1mHevHlS3zpRvbKqz1IMa6Q1GahJnJVoq8REijOZqxQba6sGapKtrpCwLCzXi1Vv1kx/FpOtLpIobsmqDEacvmE6v7JvlAZyscLSmVHVr1JfnbBsRoUlW8KJiJru5HVTdWXXUA7cISIiIutIPtBrxYoVmDlzJqKiomAwGBAbGwuDwYA//OEPWLRokaRr/fzzzxg1apT4uTmJmJCQgC1btmDBggUoKyvDCy+8gMLCQgwdOhS7d++GSlWTWPn4448xa9Ys3HfffXBzc8PkyZPxzjvviM9rNBp89913mDlzJvr374+goCAsXrwYL7zwgtS3TlSvm6XmoR6NJ/18lO7w9JCjQm9AbkklogO97R1eg2omKFuT9HOdKsW86j3XeHpY9Y8fVxt21JJdulmKCr0B3go5YoJ8UJ2vdNmW8IpmJCxrKiyZsCQiaqoTV28BAO5uz+4mIiIiso7khKVCocC///1vLF68GKdOnUJpaSnuuusudOnSRfKLjxw5ssGJvTKZDMuXL8fy5cvrXRMQEICtW7c2+Dp9+vTB999/Lzk+ImvllegAAMG+ikZWmr6vg32VyCgoR26J1mUSlkFWJSxdp0pRjNun8T0HgGC1a52/2ZKZqyt7tjNVV8pdfEq4OWGpakJLOIfuEBE138/VCcv+0UxYEhERkXUkt4QvX74c5eXliIqKwoMPPojf//736NKlCyoqKhpMLBK1ZuZqv2CfxpN+wG3Vfk5O/AmCICl2c+t1XqnW6dV05qrWICv33Pz+XKE6tKW7mFsCAOhefQ6Z+QxLZ39P1KdCZ0o2NqslXO/84xuIiFqiSr0BZzJNLeFMWBIREZG1JCcsly1bhtLS0lqPl5eXY9myZTYJiuhOuipjg9W4zialShG4/SxI5ybPSrVVYuWYNYm/QG8FZDLAKAAFZTp7h9egvFLT61u/564zMKilu5xr+jugc4gPANScYemiP6PNOcPS3BKuc9UDOomIXNypG0XQGwSE+CoR6e/p7HCIiIiohZCcsBQEAbLqaprb/fLLLwgICLBJUERmZdoqzNp6At3+9i2GvHkABy/kOjukOuVJrPZzlWnb5qSft0Ju1QRld7kbAr1NLdjOTrY2taqVLeHNd6mehKXRBSssBUGoOcOyKS3hYoUlE5ZERE1x/LZ28Lr+DUFERERUF6vPsPT3N91kyGQydO3a1eKGw2AwoLS0FNOnT7dLkNR2Ldx5CrtOZgEAsooq8eJHx7HzT0PQq53GyZFZkpqwDHaRlnBz8i7YyipF01oV8kp1yC3Roqe9ArNCnsTYa9rw2RLeHJV6AzIKygHUJCzNLeEumK+E3iCIreqqJlVYmr6GFZZERE3z8xWeX0lERETSWZ2wXLt2LQRBwNSpU7Fs2TJoNDUJI4VCgQ4dOiAuLs4uQVLbdPB8Lr76JRNuMuD9hHvwn+SrOHA+F28knsPW5we51G/ppQ6AEav9Sp1dYSkt0QqYYj+XBdx0crK1JnYr97y6JbxMZ0CZtgreSskzxwhAel4ZjIJpOru5ulVsCXfBjGXFbWdPNu8MSyYsiYik0huMSPktHwAwMIadWERERGQ9q//FnpCQAACIiYnBkCFD4OHhYbegiABgw8FLAIBn743BqO4h6BLqg6MX85D0Wz5+uJyPezsHOTlCkwqdAWU6U1LE6mo/83mKTq72a2rCEnCFlvDqMyytjN1H6Q4vhRzlOgNyS7SIYcKySS7e1g5u/qWBXOa6U8LN51fK3WTwkEv/JYfSvTphWcWhO0REUv1yrRAl2ir4e3mgZ4RrdccQERGRa5N8huWIESPEZGVlZSWKi4stPohs4fSNIvx89Rbc3WR4cXhHAECkvxcevycKALD1xwxnhmfBnPRTurvBx8okmKucp5gnDguyrkoRqEnKOj32JiRbzbHnO7mytSUzn1/ZpbodHADcqv8mcckKS13NwJ2mVGUrqhOWuipWWBIRSfX9xTwAwJDOQWI1PhEREZE1JCcsy8vLMWvWLISEhMDb2xv+/v4WH0S28Onx6wCAcb3CxGpEAGLCcu+ZHBSV650S251yS2oSZ9YmRAKr25gLynVOTfLcbELSz7w2z4lTwgVBqElYSjh/0zwwKI8Jyya7c0I4cPsZli6YsKyusGzK+ZUAoHQ3fZ2WCUsiIskOnDcNSxzexTW6YoiIiKjlkJyw/Mtf/oIDBw7gvffeg1KpxKZNm7Bs2TJERETgo48+skeM1MYYjQJ2n84GAEzs187iuZ4RanQP84XOYMTuM1nOCK+WpiTOArwUkMkAQQBulTsv8XezRFpbNVDzPvOcWGFZVKGH3mBKjpmTkNYwv8+bpc7b85bu8k1TwrLTbQnLlnCGpadC8l93AGpawllhSUQkzZW8Mpy6UQS5mwxjeoQ6OxwiIiJqYST/C+7rr7/Gu+++i8mTJ8Pd3R3Dhg3DokWLsGLFCnz88cf2iJHamJM3ipBdXAkvhRxD7/iNvEwmwwO9wgEA+8/lOiO8WswJy2AJST93uRv8vUyJtnwnJs/E2CUkW81DbpxZpWh+bbXKXVLlXKAPW8KbQxAEXM03TQjvEOgtPm6usHTFhGXlbS3hTaHgGZZERE2SeMr0i+UhnQLFv3+JiIiIrCU5YVlQUICOHU1nCqrVahQUFAAAhg4diiNHjtg2OmqTDpzLAQCM6hZSZzJqdPcQAMDRS3kukUTIq65SDJZwDiTgGu3JTTkH0rw234kt4WJlqIREKwAEu0CytSW7WapFhd4ANxnQzs9TfNxcYenKLeFNTVjWDN1hhSWRK1q6dClkMpnFR/fu3cXnKysrMXPmTAQGBsLHxweTJ09GTk6OxTUyMjIwfvx4eHl5ISQkBH/5y19QVVVlsebQoUO4++67oVQq0blzZ2zZsqVWLBs2bECHDh2gUqkwaNAg/PjjjxbPWxNLa6E3GLE1xXTe+IQ+EU6OhoiIiFoiyQnLjh07Ij09HQDQvXt3bN++HYCp8tLPz8+mwVHblPybKQk+vGvd5x31jFAj2FeJcp0BP6XfcmRodbpZapqWLSXpB9ScY+ms5JkgCOLgHCnVoeb3WViuh97gnCROUxKtwO0VlmwJb4prBabqynCNp1h5CNx+hqVTwmpQ88+wZEs4kavr2bMnsrKyxI+jR4+Kz82dOxdff/01duzYgcOHDyMzMxOTJk0SnzcYDBg/fjx0Oh1++OEHfPjhh9iyZQsWL14srklPT8f48eMxatQopKWlYc6cOXjuueewZ88ecc22bdswb948LFmyBCdOnEDfvn0RHx+P3Nxcq2NpTb5My8SNwgoE+SjxcD8mLImIiEg660Ya3+bZZ5/FL7/8ghEjRuCVV17BhAkTsH79euj1erz99tv2iJHakAqdAWnXCgEAg2IC61zj5ibDsM5B2Jl6Aynp+bXaxh0trwnnQALOT56VaqvEqjEpU8L9PD0gd5PBYBSQX6pDmEbV+BfZWFPa8IHbBgaxwrJJzO3g0YFeFo/LW8KUcAWH7hC1Vu7u7ggLC6v1eFFREd5//31s3boVo0ePBgBs3rwZPXr0QHJyMgYPHozvvvsOZ8+exb59+xAaGop+/frhtddew8svv4ylS5dCoVBg48aNiImJwerVqwEAPXr0wNGjR7FmzRrEx8cDAN5++208//zzePbZZwEAGzduRGJiIj744AO88sorVsXiKs5nF4v3Nk1RUqnHm9+eAwBMHdqhyb8wIiIiorZNcsJy7ty54p/HjBmD8+fP4/jx4+jcuTP69Olj0+Co7UnNuAWdwYgwtapWUuR298QEYGfqDfx0pcCB0dWtqdV+wWJrtXOSZ3nViVIvhRxeCuv/U+DmJkOAtwI3S7TIK9U6NWFpPk/TWjXnb7LCsinMCcv2AXcmLF23JbzSZi3hzj9+gojqdvHiRUREREClUiEuLg4rV65E+/btcfz4cej1eowZM0Zc2717d7Rv3x5JSUkYPHgwkpKS0Lt3b4SG1gyFiY+Px4wZM3DmzBncddddSEpKsriGec2cOXMAADqdDsePH8fChQvF593c3DBmzBgkJSUBgFWx1EWr1UKrrblPKC4ubvpGWWn9gUvYdbL5gw27h/li6r0xNoiIiIiI2iLJCcs7RUdHIzo62haxECH5t3wAwOCOAZBVt5nW5Z4O/gCAtGuF0FUZLdpTHc18lmOgxOSZ+QxLZ1VYFlQnSqXGDZiSs+aEpTMUiHvetKpWVlg2jbklvP0dv0xw5aE7zT3DUsGWcCKXNmjQIGzZsgXdunVDVlYWli1bhmHDhuH06dPIzs6GQqGodWRRaGgosrOzAQDZ2dkWyUrz8+bnGlpTXFyMiooK3Lp1CwaDoc4158+fF6/RWCx1WblyJZYtW2bdZthIOz9PdA/zbdY1YsPV+Ov4HqyuJCIioiZrUsLyp59+wsGDB5Gbmwuj0fIfcWwLp+Ywn185uGPd7eBmnYJ94O/lgVvlepzJLMJd7f0dEV6d8ptY7efs5Jm5yjDAW/rkTmdXKtbELm3PzVWtJZVVqNQb+A8pia4WNFxh6ZIJS53p7ygVW8KJWqUHHnhA/HOfPn0waNAgREdHY/v27fD09GzgK1uGhQsXYt68eeLnxcXFiIqKsu9rPtgDCx/sYdfXICIiImqM5ITlihUrsGjRInTr1g2hoaEWVXANVcQRNUZXZUTa9UIAwMCYgAbXymQy9I8OwL5zOfj5yi2nJSx1VUYUV5omiUpN/AU6OelnrlIMkpj0A5x/FqRYYSkxdrWnOzzkMugNAgrKdIjwa/n/mHWkjOqEZXSAt8XjcpnrtoSzwpKobfHz80PXrl1x6dIl3H///dDpdCgsLLSobMzJyRHPvAwLC6s1zds8ufv2NXdO887JyYFarYanpyfkcjnkcnmda26/RmOx1EWpVEKplP6LRSIiIqKWTnIf7bp16/DBBx/g3LlzOHToEA4ePCh+HDhwwB4xUhtxIbsEuiojNJ4eiAnybnS9uS38RyeeY3mr3JQ4c5OZhtFIYa5SdNYZluakn9QqReC22J2dsJTYEi6TyRDozbbwpijXVYlT5e+ssHQTKywdHlajbHeGpQu+OSKqpbS0FJcvX0Z4eDj69+8PDw8P7N+/X3z+woULyMjIQFxcHAAgLi4Op06dspjmvXfvXqjVasTGxoprbr+GeY35GgqFAv3797dYYzQasX//fnGNNbEQERERUQ3JFZZubm6499577RELtXG/VFdX9onUWFWtO6A6YflL9VRxZ8i/rTXZnLSxVpCTp4SLsTfxDEvAedWh5kRpU5KtgT4KZBdXOm3fW6prBRUAAI2nBzRelsl587e+S1ZYNndKuAeH7hC5svnz52PChAmIjo5GZmYmlixZArlcjilTpkCj0WDatGmYN28eAgICoFar8dJLLyEuLk4ccjN27FjExsbiqaeewqpVq5CdnY1FixZh5syZYmXj9OnTsX79eixYsABTp07FgQMHsH37diQmJopxzJs3DwkJCRgwYAAGDhyItWvXoqysTJwabk0sRERERFSjSVPCN2zYgLVr19ohHGrLTlYnLPtG+lm1PjZcAzcZkFuiRU5xJULVjp9W3ZwqRXN1YLnOgHJdlaRJ3bZgruwMasIZls48f/P2NnypLeFATbL1JissJTG3g0cF1G6jd+kzLKsrLJt6Xqmq+gxLvUFAlcEId7nzBnwRUW3Xr1/HlClTkJ+fj+DgYAwdOhTJyckIDg4GAKxZswZubm6YPHkytFot4uPj8e6774pfL5fLsWvXLsyYMQNxcXHw9vZGQkICli9fLq6JiYlBYmIi5s6di3Xr1iEyMhKbNm1CfHy8uObxxx/HzZs3sXjxYmRnZ6Nfv37YvXu3xSCexmIhIiIiohqSMyTz58/H+PHj0alTJ8TGxsLDw7LSZufOnTYLjtqWk9eLAJgqLK3hqZCjc4gPfs0pxanrRQiNdXzC0pz0a0rC0lshh9LdDdoqI/JLdfAKcGzC0hYt4c6osDS34cvdZNBIbMMHnH/+Zkt141Z1wtLfq9Zzbq34DMvbKzMrq4zwYcKSyKV88sknDT6vUqmwYcMGbNiwod410dHR+Oabbxq8zsiRI5GamtrgmlmzZmHWrFnNioWIiIiITCT/y2v27Nk4ePAgunbtisDAQGg0GosPoqYo11Xh15wSAEDfKD+rv653O9PaUzeK7BBV48xtxVLPUgRM5yk6M3lmm5Zw58Xt7yW9DR+4/fxNtoRLcf2WqSW8XR2DiswVlkYXrLAUz7BUNC3RaD7DEqhpLyciIiIiIiL7klzS9eGHH+Kzzz7D+PHj7REPtVFnMothFIBQtVJSa3fvdmp8dgI47aSEZVOnVZsF+ihwo7DCKckzc3Voc9qqC8p0MBqFJiUOm6o5cQOssGwqc8Iy0r92wtJcYWlwxQpLXfMqLGUyGTw95KjQG8TkJxEREREREdmX5JKTgIAAdOrUyR6xUBtmbgc3V0xaq3d1+/hJZ1VYiskz6RWWQE07tjnx6SiCIDR50rbpa0xxG4yC2KLtKM1pZQdqYmeFpTQ3Cs0Jy9ot4XIXnhLe3DMsAcCrui28gglLIiIiIiIih5CcsFy6dCmWLFmC8vJye8RDbdTZzGIAQK92aklfZx68c7N68I6jNaetGoB4BmNxpd5mMVmjRFsFvcFUDdeUSkUPuRv8qidF5zs42VrThs8KS0e6Xn2GZbs6KizFlnBXrLBs5hmWQE2ys5wt4URERERERA4huSX8nXfeweXLlxEaGooOHTrUGrpz4sQJmwVHbceZTFOFZM8Iaeegeirk6BLiiws5JTh5vQj3O3jwTnNbwtWq6oRlhWMTlgXVST8vhbzJlWeB3goUluuRV6JF11BfW4bXIFu04QPOGRjUUpVpq3Cr3PQ9WlfCUmwJd8UzLM0t4YqmJyzNX8szLImIiIiIiBxDcsJy4sSJdgiD2jJtlQGXcksBALER0iosAaBXOw0u5JTg1I0i3B8bauvwGpTf3ISlp+lHsLiyymYxWUNsZW9ilSJgqlS8fLMMNx1cqVgzmb1pbfjB4vmbWhiMglgdSPUzt4NrPD3EJPvtzIOzXTFhaYsKS/PX8gxLIiIiIiIix5CcsFyyZIk94nCIDRs24K233kJ2djb69u2Lf/7znxg4cKCzw2rzLuaUosoowM/LAxEa6RWSzhy8k1/avMSfsyosxVb2Jib9ACDI19xa7ZyW8Ka24Qd4KyCTAUbBVK0Z7Nv0PWgrxHbwOiaEA4Bc5vot4c05w9KcsOQZlkRERERERI4h+QzLlmrbtm2YN28elixZghMnTqBv376Ij49Hbm6us0Nr88znV8aGqyGTSa926xZmqsq8fLPUpnE1RldlFCsjm5r4UzvpDMvmtlUDQHj1NHdzMstRzLEHNTF2d7kbwqpjv+bg2FuqGw1MCAcgTol3tQpLo1FApd40Cag5LeEqtoQTERERERE5lFUJy4CAAOTl5QEA/P39ERAQUO+Hq3r77bfx/PPP49lnn0VsbCw2btwILy8vfPDBB84Orc2rOb9Sejs4AHQM9gYAXL9VAV2V48YUm6dju8kAP8/abbLWqKmwdHRLePMTll1CfQBAbOd3lPxmTgkHgJgg0/dM+s0ym8TU2l2/Vf+EcKDmDEsXy1dCe9t/D5rXEm76q5IVlkRERERERI5hVUv4mjVr4OvrK/65KVVwzqTT6XD8+HEsXLhQfMzNzQ1jxoxBUlJSrfVarRZabc25fMXFxXaPUW8woueSPXZ/HVekN5iSCk05vxIAQnyV8FbIUaYzoNeSPYCDvj2F6vbXAG+FWGEmlfkMyx+vFKDrom9tFltjqqr3vKlt1QDQOcT034TvL+Y5NHZzUro552/GBHnjh8v5WPDZSSz8/JStQmu1zN8vdQ3cAWqmhG/7KQOfnbjusLgadVsC1RYt4Uu+OoPlu842Nyqiev1lbDc8P7yjs8MgIiIiInI6qxKWCQkJ4p+feeYZe8ViN3l5eTAYDAgNtRzIEhoaivPnz9dav3LlSixbtsxR4YkcWR3oanyU7ojrGNSkr5XJZBjZPQSJJ7OgMzh+Dwd3DGzy1/YIV8NX5Y6SyiqH///vJgMGdmh6VXRsuBrhGhWyiiodHns7P896q/2sMbxrMLb+mAGDUXC5NmZXpZC7YVBM3d8vvdtpIHeTwWAUXPK/Y/2i/Jo1XKl/hwB8kZbJ7xeyO4MLngNLREREROQMMkGQdncsl8uRlZWFkJAQi8fz8/MREhICg8H1WuYyMzPRrl07/PDDD4iLixMfX7BgAQ4fPoyUlBSL9XVVWEZFRaGoqAhqddOqABsjCAKyiirtcu2WwM/LA14KyTOgRIIgILu4Eo7+t55MBoSpVc2qOq7QGcT2ckfyVrhD49W0VnYzbZVBHILjSIE+Cijdm14xBwCF5TqU80xCq/mq3OFbx4Rws6JyPcp0jj3awFqhalWzp8Hnl2otWsyJ7KGxn7PmKi4uhkajsev9DNkX/z8kIiKilkzKvYzkDFF9+U2tVguFouktmvYUFBQEuVyOnJwci8dzcnIQFhZWa71SqYRS6djJwTKZDBH1TOClxslkMoRrWub+eSrk8FS0zNiV7vIW+33r56WAX9OLNOkOGi+PZifAXVmgD6fJExEREREROYrVCct33nkHgCkxtGnTJvj4+IjPGQwGHDlyBN27d7d9hDagUCjQv39/7N+/HxMnTgQAGI1G7N+/H7NmzXJucERERERERERERCSyOmG5Zs0aAKYKy40bN0Iur2nHVCgU6NChAzZu3Gj7CG1k3rx5SEhIwIABAzBw4ECsXbsWZWVlePbZZ50dGhEREREREREREVWzOmGZnp4OABg1ahR27twJf39/uwVlD48//jhu3ryJxYsXIzs7G/369cPu3btrDeIhIiIiIiIiIiIi55E8dOdOBoMBp06dQnR0dItLYlqrqKgIfn5+uHbtGg84JyIiohbJPESwsLAQGo3G2eFQE/CelIiIiFoyKfejkofuzJkzB71798a0adNgMBgwfPhwJCUlwcvLC7t27cLIkSObGrfLKikpAQBERUU5ORIiIiKi5ikpKWHCsoXiPSkRERG1Btbcj0qusGzXrh2+/PJLDBgwAF988QVmzpyJgwcP4j//+Q8OHDiAY8eONStoV2Q0GpGZmQlfX1/IZDK7vY4508zfmjsO99w5uO+Oxz13PO6543HPGyYIAkpKShAREQE3Nzdnh0NN4Ih7Uv4cOQf33fG4547HPXc87rlzcN/rJ+V+VHKFZX5+PsLCwgAA33zzDR577DF07doVU6dOxbp165oWsYtzc3NDZGSkw15PrVbzm9rBuOfOwX13PO6543HPHY97Xj9WVrZsjrwn5c+Rc3DfHY977njcc8fjnjsH971u1t6PSv71emhoKM6ePQuDwYDdu3fj/vvvBwCUl5dbTA4nIiIiIiIiIiIikkpyheWzzz6L3//+9wgPD4dMJsOYMWMAACkpKejevbvNAyQiIiIiIiIiIqK2Q3LCcunSpejVqxeuXbuGxx57DEqlEgAgl8vxyiuv2DzAtkSpVGLJkiXinpL9cc+dg/vueNxzx+OeOx73nKj5+HPkHNx3x+OeOx733PG4587BfbcNyUN3iIiIiIiIiIiIiOzF6jMsH3zwQRQVFYmfv/nmmygsLBQ/z8/PR2xsrE2DIyIiIiIiIiIiorbF6gpLuVyOrKwshISEADBNO0pLS0PHjh0BADk5OYiIiIDBYLBftERERERERERERNSqWV1heWdek53kREREREREREREZGtWJyyJiIiIiIiIiIiI7M3qhKVMJoNMJqv1GBEREREREREREZGtSGoJf+aZZzBp0iRMmjQJlZWVmD59uvj51KlT7RmnTa1cuRL33HMPfH19ERISgokTJ+LChQsWayorKzFz5kwEBgbCx8cHkydPRk5OjsWa2bNno3///lAqlejXr1+dr7V9+3b069cPXl5eiI6OxltvvWVVjDt27ED37t2hUqnQu3dvfPPNNxbP79y5E2PHjkVgYCBkMhnS0tKsum5BQQGefPJJqNVq+Pn5Ydq0aSgtLbV438888wx69+4Nd3d3TJw40arrNoZ7Xv+eX7hwAaNGjUJoaChUKhU6duyIRYsWQa/XW3X9+nDP69/zK1euiL+Euf0jOTnZqus3hPte/74vXbq0zn339va26vr14Z7Xv+fNibkhbXnP33jjDQwZMgReXl7w8/Orc40174uoLf8cOet+FOC+8560bq3tnpR7zvvRuvB+tPXseVu5H7U6YZmQkICQkBBoNBpoNBr88Y9/REREhPh5SEgInn76aXvGajOHDx/GzJkzkZycjL1790Kv12Ps2LEoKysT18ydOxdff/01duzYgcOHDyMzMxOTJk2qda2pU6fi8ccfr/N1vv32Wzz55JOYPn06Tp8+jXfffRdr1qzB+vXrG4zvhx9+wJQpUzBt2jSkpqZi4sSJmDhxIk6fPi2uKSsrw9ChQ/H3v/9d0nt/8skncebMGezduxe7du3CkSNH8MILL4jPGwwGeHp6Yvbs2RgzZoykazeEe17/nnt4eODpp5/Gd999hwsXLmDt2rX497//jSVLlkh6nTtxz+vfc7N9+/YhKytL/Ojfv7+k16kL973+fZ8/f77FfmdlZSE2NhaPPfaYpNe5E/e8/j1vasyNact7rtPp8Nhjj2HGjBkNrmvofREBbfvnyFn3owD3nfektbXGe1LuOe9H78T70da1523mflQgITc3VwAgHD58WBAEQSgsLBQ8PDyEHTt2iGvOnTsnABCSkpJqff2SJUuEvn371np8ypQpwu9+9zuLx9555x0hMjJSMBqN9cbz+9//Xhg/frzFY4MGDRJefPHFWmvT09MFAEJqampDb1EQBEE4e/asAED46aefxMe+/fZbQSaTCTdu3Ki1PiEhQXjkkUcavW5TcM/r3nOzuXPnCkOHDm30+lJwz2v2XMr1mov7Xv/3elpamgBAOHLkSKPXl4J7XrPnTY1Zqray57fbvHmzoNFoGlxT3/siqktb+TlypftRQeC+8560bdyTcs95P8r7UZPWsOe3a+33oxy6A6CoqAgAEBAQAAA4fvw49Hq9xW90u3fvjvbt2yMpKcnq62q1WqhUKovHPD09cf36dVy9erXer0tKSqr12+T4+HhJr13fdf38/DBgwADxsTFjxsDNzQ0pKSnNurZU3PP69/zSpUvYvXs3RowY0azXvhP3vPaeP/zwwwgJCcHQoUPx1VdfNet168N9r/97fdOmTejatSuGDRvWrNe+E/e8Zs+bGrNUbWXPieyprfwcudL9KMB95z2pa+y5ve9Juee8H+X9qElr2PO2pM0nLI1GI+bMmYN7770XvXr1AgBkZ2dDoVDUOgsgNDQU2dnZVl87Pj4eO3fuxP79+2E0GvHrr79i9erVAICsrKx6vy47OxuhoaHNeu36rhsSEmLxmLu7OwICApp9bSm453Xv+ZAhQ6BSqdClSxcMGzYMy5cvb9Zr3457brnnPj4+WL16NXbs2IHExEQMHToUEydOtPkNIve9/v++VFZW4uOPP8a0adOa9bp34p5b7nlTY5aiLe05kb20pZ8jV7kfBbjvvCeF+Pqt+Z6Ue877UfPr837UpKXveVvS5hOWM2fOxOnTp/HJJ5/Y/NrPP/88Zs2ahYceeggKhQKDBw/GE088AQBwc3NDRkYGfHx8xI8VK1bY7LWnT59ucW1Xwj2v27Zt23DixAls3boViYmJ+Mc//mGz2LjnloKCgjBv3jwMGjQI99xzD95880388Y9/tMnhz7fjvtfv888/R0lJCRISEmwWF8A9lxqzLXDPiZqPP0fOwX2vG+9JpXPle1Luef14PyoN70dbzp63Fu7ODsCZZs2aJR4KGxkZKT4eFhYGnU6HwsJCi2x8Tk4OwsLCrL6+TCbD3//+d6xYsQLZ2dkIDg7G/v37AQAdO3aEv7+/xRQoc+lyWFhYrclVUl97+fLlmD9/vsVjYWFhyM3NtXisqqoKBQUFkq7dHNzz+vc8KioKABAbGwuDwYAXXngBf/7znyGXy62OoS7cc+u+zwcNGoS9e/da/dqN4b43vO+bNm3CQw89VOu3js3BPa+9543F3Fxtbc+J7KGt/Ry5wv0owH0HeE/qSnt+O1vek3LPeT/qCnvO+9EavB+Vpk1WWAqCgFmzZuHzzz/HgQMHEBMTY/F8//794eHhIX4TAsCFCxeQkZGBuLg4ya8nl8vRrl07KBQK/O9//0NcXByCg4Ph7u6Ozp07ix/mb+y4uDiL1waAvXv3SnrtkJAQi2ubr1tYWIjjx4+L6w4cOACj0YhBgwZJfl9ScM+l7bnRaIRer4fRaJTyti1wz6XteVpaGsLDw6W85Tpx3xvf9/T0dBw8eNBm7Tfc88b3vL6Ym6qt7jmRLbXVnyNn3o8C3Hfek7r+ntvinpR7zvtRV9xz3o/yflQy58z6ca4ZM2YIGo1GOHTokJCVlSV+lJeXi2umT58utG/fXjhw4IDw888/C3FxcUJcXJzFdS5evCikpqYKL774otC1a1chNTVVSE1NFbRarSAIgnDz5k3hvffeE86dOyekpqYKs2fPFlQqlZCSktJgfMeOHRPc3d2Ff/zjH8K5c+eEJUuWCB4eHsKpU6fENfn5+UJqaqqQmJgoABA++eQTITU1VcjKymrw2uPGjRPuuusuISUlRTh69KjQpUsXYcqUKRZrzpw5I6SmpgoTJkwQRo4cKb6v5uCe17/n//3vf4Vt27YJZ8+eFS5fvixs27ZNiIiIEJ588kmr97cu3PP693zLli3C1q1bhXPnzgnnzp0T3njjDcHNzU344IMPrN7f+nDfG/7viyAIwqJFi4SIiAihqqqq0f20Bve8/j1vasyNact7fvXqVSE1NVVYtmyZ4OPjI8ZcUlJi9fsiEoS2/XPkrPtRQeC+8560ttZ4T8o95/3onXg/2rr2vK3cj7bJhCWAOj82b94srqmoqBD+9Kc/Cf7+/oKXl5fw6KOP1vqmGTFiRJ3XSU9PFwTB9I09ePBgwdvbW/Dy8hLuu+8+ITk52aoYt2/fLnTt2lVQKBRCz549hcTERIvnN2/eXOdrL1mypMHr5ufnC1OmTBF8fHwEtVotPPvssxbf1IIgCNHR0XVeuzm45/Xv+SeffCLcfffdgo+Pj+Dt7S3ExsYKK1asECoqKqyKuz7c8/r3fMuWLUKPHj0ELy8vQa1WCwMHDhR27NhhVcyN4b43/N8Xg8EgREZGCq+++qpVsVqDe17/njcn5oa05T1PSEio8+sOHjxo9fsiEoS2/XPkrPtRQeC+8560bq3tnpR7zvvRuvB+tPXseVu5H5UJgiCAiIiIiIiIiIiIyAW0yTMsiYiIiIiIiIiIyDUxYUlEREREREREREQugwlLIiIiIiIiIiIichlMWBIREREREREREZHLYMKSiIiIiIiIiIiIXAYTlkREREREREREROQymLAkIiIiIiIiIiIil8GEJREREREREREREbkMJiyJiIiIiIiIiIjIZTBhSURERERERERERC6DCUsiIiIiIiIiIiJyGf8PyrBFKQozoGAAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1600x700 with 4 Axes>"
       ]
@@ -298,67 +299,67 @@
        "    <tr>\n",
        "      <th>2019-01-01 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>19606.785</td>\n",
+       "      <td>19604.252</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-02 00:00:00-05:00</th>\n",
-       "      <td>4114.031</td>\n",
-       "      <td>15583.450</td>\n",
+       "      <td>4113.505</td>\n",
+       "      <td>15581.457</td>\n",
        "      <td>0.791</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-03 00:00:00-05:00</th>\n",
-       "      <td>9396.788</td>\n",
-       "      <td>10399.112</td>\n",
+       "      <td>9395.599</td>\n",
+       "      <td>10397.796</td>\n",
        "      <td>0.525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-04 00:00:00-05:00</th>\n",
-       "      <td>9466.477</td>\n",
-       "      <td>10476.235</td>\n",
+       "      <td>9465.191</td>\n",
+       "      <td>10474.811</td>\n",
        "      <td>0.525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-05 00:00:00-05:00</th>\n",
-       "      <td>9522.325</td>\n",
-       "      <td>10538.040</td>\n",
+       "      <td>9521.047</td>\n",
+       "      <td>10536.625</td>\n",
        "      <td>0.525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-06 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20185.784</td>\n",
+       "      <td>20183.110</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-07 00:00:00-05:00</th>\n",
-       "      <td>2859.565</td>\n",
-       "      <td>17459.339</td>\n",
+       "      <td>2859.178</td>\n",
+       "      <td>17457.072</td>\n",
        "      <td>0.859</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-08 00:00:00-05:00</th>\n",
-       "      <td>19448.084</td>\n",
+       "      <td>19445.360</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-09 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20607.950</td>\n",
+       "      <td>20605.339</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-10 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20763.718</td>\n",
+       "      <td>20761.130</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-11 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20926.869</td>\n",
+       "      <td>20924.306</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -367,17 +368,17 @@
       ],
       "text/plain": [
        "                           lost_production  actual_production  availability\n",
-       "2019-01-01 00:00:00-05:00            0.000          19606.785         1.000\n",
-       "2019-01-02 00:00:00-05:00         4114.031          15583.450         0.791\n",
-       "2019-01-03 00:00:00-05:00         9396.788          10399.112         0.525\n",
-       "2019-01-04 00:00:00-05:00         9466.477          10476.235         0.525\n",
-       "2019-01-05 00:00:00-05:00         9522.325          10538.040         0.525\n",
-       "2019-01-06 00:00:00-05:00            0.000          20185.784         1.000\n",
-       "2019-01-07 00:00:00-05:00         2859.565          17459.339         0.859\n",
-       "2019-01-08 00:00:00-05:00        19448.084              0.000         0.000\n",
-       "2019-01-09 00:00:00-05:00            0.000          20607.950         1.000\n",
-       "2019-01-10 00:00:00-05:00            0.000          20763.718         1.000\n",
-       "2019-01-11 00:00:00-05:00            0.000          20926.869         1.000"
+       "2019-01-01 00:00:00-05:00            0.000          19604.252         1.000\n",
+       "2019-01-02 00:00:00-05:00         4113.505          15581.457         0.791\n",
+       "2019-01-03 00:00:00-05:00         9395.599          10397.796         0.525\n",
+       "2019-01-04 00:00:00-05:00         9465.191          10474.811         0.525\n",
+       "2019-01-05 00:00:00-05:00         9521.047          10536.625         0.525\n",
+       "2019-01-06 00:00:00-05:00            0.000          20183.110         1.000\n",
+       "2019-01-07 00:00:00-05:00         2859.178          17457.072         0.859\n",
+       "2019-01-08 00:00:00-05:00        19445.360              0.000         0.000\n",
+       "2019-01-09 00:00:00-05:00            0.000          20605.339         1.000\n",
+       "2019-01-10 00:00:00-05:00            0.000          20761.130         1.000\n",
+       "2019-01-11 00:00:00-05:00            0.000          20924.306         1.000"
       ]
      },
      "execution_count": 6,
@@ -386,7 +387,7 @@
     }
    ],
    "source": [
-    "pd.set_option('precision', 3)\n",
+    "pd.set_option('display.precision', 3)\n",
     "aa.results"
    ]
   },
@@ -475,7 +476,7 @@
     }
    ],
    "source": [
-    "pd.set_option('precision', 2)\n",
+    "pd.set_option('display.precision', 2)\n",
     "# Show the first half of the dataframe\n",
     "N = len(aa.outage_info.columns)\n",
     "aa.outage_info.iloc[:, :N//2]"
@@ -520,23 +521,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>19448.08</td>\n",
-       "      <td>604248.74</td>\n",
-       "      <td>604248.74</td>\n",
+       "      <td>19445.36</td>\n",
+       "      <td>604235.12</td>\n",
+       "      <td>604235.12</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>14819.33</td>\n",
-       "      <td>24271.15</td>\n",
+       "      <td>14817.11</td>\n",
+       "      <td>24267.92</td>\n",
        "      <td>real</td>\n",
-       "      <td>19448.08</td>\n",
+       "      <td>19445.36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>25284.75</td>\n",
-       "      <td>624856.69</td>\n",
-       "      <td>645620.41</td>\n",
-       "      <td>20763.72</td>\n",
-       "      <td>19266.84</td>\n",
-       "      <td>31555.29</td>\n",
+       "      <td>25282.20</td>\n",
+       "      <td>624840.46</td>\n",
+       "      <td>645601.59</td>\n",
+       "      <td>20761.13</td>\n",
+       "      <td>19264.71</td>\n",
+       "      <td>31552.34</td>\n",
        "      <td>comms</td>\n",
        "      <td>0.00</td>\n",
        "    </tr>\n",
@@ -546,12 +547,12 @@
       ],
       "text/plain": [
        "   energy_expected  energy_start  energy_end  energy_actual  ci_lower  \\\n",
-       "0         19448.08     604248.74   604248.74           0.00  14819.33   \n",
-       "1         25284.75     624856.69   645620.41       20763.72  19266.84   \n",
+       "0         19445.36     604235.12   604235.12           0.00  14817.11   \n",
+       "1         25282.20     624840.46   645601.59       20761.13  19264.71   \n",
        "\n",
        "   ci_upper   type      loss  \n",
-       "0  24271.15   real  19448.08  \n",
-       "1  31555.29  comms      0.00  "
+       "0  24267.92   real  19445.36  \n",
+       "1  31552.34  comms      0.00  "
       ]
      },
      "execution_count": 8,
@@ -584,12 +585,12 @@
      "text": [
       "2019-01-01 00:00:00-05:00        0.00\n",
       "2019-01-02 00:00:00-05:00        0.00\n",
-      "2019-01-03 00:00:00-05:00     9931.24\n",
-      "2019-01-04 00:00:00-05:00    11453.27\n",
-      "2019-01-05 00:00:00-05:00    11238.57\n",
+      "2019-01-03 00:00:00-05:00     9930.06\n",
+      "2019-01-04 00:00:00-05:00    11452.05\n",
+      "2019-01-05 00:00:00-05:00    11237.35\n",
       "2019-01-06 00:00:00-05:00        0.00\n",
       "2019-01-07 00:00:00-05:00        0.00\n",
-      "2019-01-08 00:00:00-05:00     9505.33\n",
+      "2019-01-08 00:00:00-05:00     9504.05\n",
       "2019-01-09 00:00:00-05:00        0.00\n",
       "2019-01-10 00:00:00-05:00        0.00\n",
       "2019-01-11 00:00:00-05:00        0.00\n",
@@ -613,20 +614,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x800 with 4 Axes>"
       ]
@@ -663,7 +664,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/rdtools/__init__.py b/rdtools/__init__.py
index c097e2be..03ea0288 100644
--- a/rdtools/__init__.py
+++ b/rdtools/__init__.py
@@ -37,6 +37,5 @@
 # from rdtools.plotting import availability_summary_plots
 # from rdtools.availability import AvailabilityAnalysis
 
-from ._version import get_versions
-__version__ = get_versions()['version']
-del get_versions
+from . import _version
+__version__ = _version.get_versions()['version']
diff --git a/rdtools/_version.py b/rdtools/_version.py
index 77d43632..2656d62e 100644
--- a/rdtools/_version.py
+++ b/rdtools/_version.py
@@ -5,8 +5,9 @@
 # directories (produced by setup.py build) will contain a much shorter file
 # that just contains the computed version number.
 
-# This file is released into the public domain. Generated by
-# versioneer-0.18 (https://github.com/warner/python-versioneer)
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
 
 """Git implementation of _version.py."""
 
@@ -15,9 +16,11 @@
 import re
 import subprocess
 import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
 
 
-def get_keywords():
+def get_keywords() -> Dict[str, str]:
     """Get the keywords needed to look up the version information."""
     # these strings will be replaced by git during git-archive.
     # setup.py/versioneer.py will grep for the variable names, so they must
@@ -33,8 +36,15 @@ def get_keywords():
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
 
-def get_config():
+
+def get_config() -> VersioneerConfig:
     """Create, populate and return the VersioneerConfig() object."""
     # these strings are filled in when 'setup.py versioneer' creates
     # _version.py
@@ -52,13 +62,13 @@ class NotThisMethod(Exception):
     """Exception raised if a method is not valid for the current scenario."""
 
 
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
@@ -67,22 +77,35 @@ def decorate(f):
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -93,18 +116,20 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %s" % (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %s (error)" % dispcmd)
             print("stdout was %s" % stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -113,15 +138,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %s but none started with prefix %s" %
@@ -130,41 +154,48 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -177,11 +208,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -190,7 +221,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -199,6 +230,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %s" % r)
             return {"version": r,
@@ -214,7 +250,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -225,8 +266,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -234,24 +282,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%s*" % tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -268,7 +349,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%s'"
                                % describe_out)
             return pieces
@@ -293,26 +374,27 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -337,23 +419,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%d" % pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%d" % pieces["distance"]
+        rendered = "0.post0.dev%d" % pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -380,12 +510,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -402,7 +561,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -422,7 +581,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -442,7 +601,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -456,10 +615,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -474,7 +637,7 @@ def render(pieces, style):
             "date": pieces.get("date")}
 
 
-def get_versions():
+def get_versions() -> Dict[str, Any]:
     """Get version information or return default if unable to do so."""
     # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
     # __file__, we can work backwards from there to the root. Some
@@ -495,7 +658,7 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split('/'):
+        for _ in cfg.versionfile_source.split('/'):
             root = os.path.dirname(root)
     except NameError:
         return {"version": "0+unknown", "full-revisionid": None,
diff --git a/rdtools/analysis_chains.py b/rdtools/analysis_chains.py
index 9767ad6b..e10dc425 100644
--- a/rdtools/analysis_chains.py
+++ b/rdtools/analysis_chains.py
@@ -544,7 +544,7 @@ def _call_clearsky_filter(filter_string):
 
         # note: the previous implementation using the & operator treated NaN
         # filter values as False, so we do the same here for consistency:
-        filter_components = pd.DataFrame(filter_components).fillna(False)
+        filter_components = pd.DataFrame(filter_components).fillna(0).astype("bool")
 
         # apply special checks to ad_hoc_filter, as it is likely more prone to user error
         if self.filter_params.get("ad_hoc_filter", None) is not None:
diff --git a/rdtools/availability.py b/rdtools/availability.py
index 023ffacd..b395c00b 100644
--- a/rdtools/availability.py
+++ b/rdtools/availability.py
@@ -273,11 +273,15 @@ def _calc_loss_subsystem(self, low_threshold, relative_sizes,
         system_delta = 1 - power_system / virtual_full_power
 
         subsystem_fraction = relative_sizes / relative_sizes.sum()
-        smallest_delta = power_subsystem.le(low_threshold) \
-                                        .replace(False, np.nan) \
-                                        .multiply(subsystem_fraction) \
-                                        .min(axis=1) \
-                                        .fillna(1)  # use safe value of 100%
+        smallest_delta = (
+            power_subsystem.le(low_threshold)
+            .replace(False, np.nan)
+            .multiply(subsystem_fraction)
+            .min(axis=1)
+            .astype(float)
+            .fillna(1.0)
+        )  # use safe value of 100%
+        # smallest_delta.loc[smallest_delta.isnull()] = 1
         is_downtime = system_delta > (0.75 * smallest_delta)
         is_downtime[looks_online.all(axis=1)] = False
 
@@ -415,20 +419,21 @@ def _calc_loss_system(self):
         all_times = self.power_system.index
         masked = looks_offline[self.power_expected > 0].reindex(all_times)
         # Note: in Series, (nan | True) is False, but (True | nan) is True
-        full_outage = (
-            masked.ffill().fillna(False) | masked.bfill().fillna(False)
-        )
-
+        ffill = masked.ffill()
+        ffill.loc[ffill.isnull()] = False
+        bfill = masked.bfill()
+        bfill.loc[bfill.isnull()] = False
+        full_outage = ffill | bfill
         # Find expected production and associated uncertainty for each outage
         diff = full_outage.astype(int).diff()
         starts = all_times[diff == 1].tolist()
         ends = all_times[diff.shift(-1) == -1].tolist()
         steps = diff[~diff.isnull() & (diff != 0)]
         if not steps.empty:
-            if steps[0] == -1:
+            if steps.iloc[0] == -1:
                 # data starts in an outage
                 starts.insert(0, all_times[0])
-            if steps[-1] == 1:
+            if steps.iloc[-1] == 1:
                 # data ends in an outage
                 ends.append(all_times[-1])
 
@@ -497,7 +502,7 @@ def _calc_loss_system(self):
 
         # generate a best-guess timeseries loss for the full outages by
         # scaling the expected power signal to match the actual
-        lost_power_full = pd.Series(0, index=self.loss_subsystem.index)
+        lost_power_full = pd.Series(0, index=self.loss_subsystem.index, dtype=float)
         expected_power = self.power_expected
         corrected_cumulative_energy = self.energy_cumulative.copy()
         for i, row in self.outage_info.iterrows():
@@ -519,7 +524,7 @@ def _calc_loss_system(self):
         self.energy_cumulative_corrected = corrected_cumulative_energy
         self.loss_system = lost_power_full
 
-    def _combine_losses(self, rollup_period='M'):
+    def _combine_losses(self, rollup_period="ME"):
         """
         Combine subsystem and system losses.
 
@@ -527,10 +532,17 @@ def _combine_losses(self, rollup_period='M'):
 
         Parameters
         ----------
-        rollup_period : pandas offset string, default 'M'
+        rollup_period : pandas offset string, default 'ME'
             The period on which to roll up losses and calculate availability.
+            The default value "ME" triggers a monthly rollup period. For other aliases,
+            be sure they are compatible with your version of Pandas"
         """
 
+        # Allow pandas < 2.0 to use 'M' as an alias for MonthEnd
+        # https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#deprecate-aliases-m-q-y-etc-in-favour-of-me-qe-ye-etc-for-offsets
+        if rollup_period == "ME":
+            rollup_period = pd.tseries.offsets.MonthEnd()
+
         if ((self.loss_system > 0) & (self.loss_subsystem > 0)).any():
             msg = (
                 'Loss detected simultaneously at both system and subsystem '
@@ -557,9 +569,14 @@ def _combine_losses(self, rollup_period='M'):
         df['availability'] = 1 - df['lost_production'] / loss_plus_actual
         self.results = df
 
-    def run(self, low_threshold=None, relative_sizes=None,
-            power_system_limit=None, quantiles=(0.01, 0.99),
-            rollup_period='M'):
+    def run(
+        self,
+        low_threshold=None,
+        relative_sizes=None,
+        power_system_limit=None,
+        quantiles=(0.01, 0.99),
+        rollup_period="ME",
+    ):
         """
         Run the availability analysis.
 
@@ -595,8 +612,10 @@ def run(self, low_threshold=None, relative_sizes=None,
             no production loss or (2) a power outage with an associated
             production loss estimate.
 
-        rollup_period : pandas.tseries.offsets.DateOffset or alias, default 'M'
+        rollup_period : pandas.tseries.offsets.DateOffset or alias, default 'ME'
             The period on which to roll up losses and calculate availability.
+            The default value "ME" triggers a monthly rollup period. For other aliases,
+            be sure they are compatible with your version of Pandas"
         """
         self._calc_loss_subsystem(low_threshold, relative_sizes,
                                   power_system_limit)
diff --git a/rdtools/clearsky_temperature.py b/rdtools/clearsky_temperature.py
index 4272f05e..ebe617f2 100644
--- a/rdtools/clearsky_temperature.py
+++ b/rdtools/clearsky_temperature.py
@@ -4,9 +4,10 @@
 from numpy import arange
 from datetime import timedelta
 import pandas as pd
-import pkg_resources
+from contextlib import ExitStack
 import numpy as np
 import warnings
+import importlib.resources as importlib_resources
 
 
 def get_clearsky_tamb(times, latitude, longitude, window_size=40,
@@ -42,14 +43,17 @@ def get_clearsky_tamb(times, latitude, longitude, window_size=40,
     * https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MOD_LSTN_CLIM_M
     '''
 
-    filepath = pkg_resources.resource_filename('rdtools',
-                                               'data/temperature.hdf5')
+    file_manager = ExitStack()
+    ref = importlib_resources.files("rdtools") / "data/temperature.hdf5"
+    filepath = file_manager.enter_context(importlib_resources.as_file(ref))
 
     buffer = timedelta(days=window_size)
 
     if times.freq is None:
         freq_actual = pd.infer_freq(times)
         if freq_actual is None:
+            times._engine.clear_mapping()
+            # workaround from https://github.com/pandas-dev/pandas/issues/55794
             freq_actual = pd.infer_freq(times[:10])
             warnings.warn("Input 'times' has no frequency attribute. "
                           "Inferring frequency from first 10 timestamps.")
diff --git a/rdtools/filtering.py b/rdtools/filtering.py
index 464651c0..e9f48abf 100644
--- a/rdtools/filtering.py
+++ b/rdtools/filtering.py
@@ -596,7 +596,7 @@ def logic_clip_filter(
         .drop_duplicates(subset=power_ac.index.name, keep="first")
         .set_index(power_ac.index.name)
     )
-    freq_string = str(time_series_sampling_frequency) + "T"
+    freq_string = str(time_series_sampling_frequency) + "min"
     # Set days with the majority of frozen data to null.
     daily_std = power_ac.resample("D").std() / power_ac.resample("D").mean()
     power_ac["daily_std"] = daily_std.reindex(index=power_ac.index, method="ffill")
@@ -611,7 +611,7 @@ def logic_clip_filter(
     if time_series_sampling_frequency >= 10:
         power_ac = rdtools.normalization.interpolate(power_ac, freq_string)
     else:
-        power_ac = power_ac.resample("15T").median()
+        power_ac = power_ac.resample("15min").median()
         time_series_sampling_frequency = 15
     # If a value for roll_periods is not designated, the function uses
     # the current default logic to set the roll_periods value.
@@ -746,7 +746,7 @@ def _calculate_xgboost_model_features(df, sampling_frequency):
     )
     # Get the max value for the day and see how each value compares
     df["date"] = list(pd.to_datetime(pd.Series(df.index)).dt.date)
-    df["daily_max"] = df.groupby(["date"])["scaled_value"].transform(max)
+    df["daily_max"] = df.groupby(["date"])["scaled_value"].transform("max")
     # Get percentage of daily max
     df["percent_daily_max"] = df["scaled_value"] / (df["daily_max"] + 0.00001)
     # Get the standard deviation, median and mean of the first order
@@ -826,7 +826,7 @@ def xgboost_clip_filter(power_ac, mounting_type="fixed"):
     sampling_frequency = int(
         (power_ac.index.to_series().diff() / pd.Timedelta("60s")).mode()[0]
     )
-    freq_string = str(sampling_frequency) + "T"
+    freq_string = str(sampling_frequency) + "min"
     # Min-max normalize
     # Resample the series based on the most common sampling frequency
     power_ac_interpolated = rdtools.normalization.interpolate(power_ac, freq_string)
@@ -838,7 +838,7 @@ def xgboost_clip_filter(power_ac, mounting_type="fixed"):
     # once every five minute, resample at 5-minute intervals before
     # plugging into the model
     if sampling_frequency < 5:
-        power_ac_df = power_ac_df.resample("5T").mean()
+        power_ac_df = power_ac_df.resample("5min").mean()
         power_ac_df["sampling_frequency"] = 5
     # Add mounting type as a column
     power_ac_df["mounting_config"] = mounting_type
@@ -882,7 +882,7 @@ def xgboost_clip_filter(power_ac, mounting_type="fixed"):
     # Reindex with the original data index. Re-adjusts to original
     # data frequency.
     xgb_predictions = xgb_predictions.reindex(index=power_ac.index, method="ffill")
-    xgb_predictions = xgb_predictions.fillna(False)
+    xgb_predictions.loc[xgb_predictions.isnull()] = False
     # Regenerate the features with the original sampling frequency
     # (pre-resampling or interpolation).
     power_ac_df = power_ac.to_frame()
diff --git a/rdtools/normalization.py b/rdtools/normalization.py
index 2509cd33..b1a2ee36 100644
--- a/rdtools/normalization.py
+++ b/rdtools/normalization.py
@@ -409,15 +409,14 @@ def energy_from_power(power, target_frequency=None, max_timedelta=None,
     median_step_ns = t_steps.median()
 
     if target_frequency is None:
-        # 'N' is the Pandas offset alias for ns
-        target_frequency = str(int(median_step_ns)) + 'N'
+        target_frequency = str(int(median_step_ns)) + 'ns'
 
     if max_timedelta is None:
         max_interval_nanoseconds = median_step_ns
     else:
         max_interval_nanoseconds = max_timedelta.total_seconds() * 10.0**9
     # set max_timedelta for use in interpolate and _aggregate
-    max_timedelta = pd.to_timedelta(f'{max_interval_nanoseconds} nanos')
+    max_timedelta = pd.to_timedelta(f'{max_interval_nanoseconds} ns')
     try:
         freq_interval_size_ns = \
             pd.tseries.frequencies.to_offset(target_frequency).nanos
@@ -603,7 +602,7 @@ def _interpolate_series(time_series, target_index, max_timedelta=None,
     df = df.sort_index()
 
     # calculate the gap size in the original data (timestamps)
-    df['gapsize_ns'] = df['gapsize_ns'].fillna(method='bfill')
+    df['gapsize_ns'] = df['gapsize_ns'].bfill()
     df.loc[valid_indput_index, 'gapsize_ns'] = 0
 
     # perform the interpolation when the max gap size criterion is satisfied
diff --git a/rdtools/soiling.py b/rdtools/soiling.py
index 5e713a03..427a7ce6 100644
--- a/rdtools/soiling.py
+++ b/rdtools/soiling.py
@@ -157,8 +157,8 @@ def _calc_daily_df(self, day_scale=13, clean_threshold='infer',
         df['pi_norm'] = df['pi'] / renorm
 
         # Find the beginning and ends of outages longer than dayscale
-        bfill = df['pi_norm'].fillna(method='bfill', limit=day_scale)
-        ffill = df['pi_norm'].fillna(method='ffill', limit=day_scale)
+        bfill = df['pi_norm'].bfill(limit=day_scale)
+        ffill = df['pi_norm'].ffill(limit=day_scale)
         out_start = (~df['pi_norm'].isnull() & bfill.shift(-1).isnull())
         out_end = (~df['pi_norm'].isnull() & ffill.shift(1).isnull())
 
@@ -168,7 +168,7 @@ def _calc_daily_df(self, day_scale=13, clean_threshold='infer',
 
         # Make a forward filled copy, just for use in
         # step, slope change detection
-        df_ffill = df.fillna(method='ffill', limit=day_scale).copy()
+        df_ffill = df.ffill(limit=day_scale).copy()
 
         # Calculate rolling median
         df['pi_roll_med'] = \
@@ -246,9 +246,9 @@ def _calc_result_df(self, trim=False, max_relative_slope_error=500.0,
 
         for r in res_loop:
             run = daily_df[daily_df['run'] == r]
-            length = (run.day[-1] - run.day[0])
-            start_day = run.day[0]
-            end_day = run.day[-1]
+            length = (run['day'].iloc[-1] - run['day'].iloc[0])
+            start_day = run['day'].iloc[0]
+            end_day = run['day'].iloc[-1]
             start = run.index[0]
             end = run.index[-1]
             run_filtered = run[run.pi_norm > 0]
@@ -444,16 +444,18 @@ def _calc_monte(self, monte, method='half_norm_clean'):
                 # forward and back fill to note the limits of random constant
                 # derate for invalid intervals
                 results_rand['previous_end'] = \
-                    results_rand.end_loss.fillna(method='ffill')
+                    results_rand.end_loss.ffill()
                 results_rand['next_start'] = \
-                    results_rand.start_loss.fillna(method='bfill')
+                    results_rand.start_loss.bfill()
 
                 # Randomly select random constant derate for invalid intervals
                 # based on previous end and next beginning
                 invalid_intervals = results_rand[~results_rand.valid].copy()
                 # fill NaNs at beggining and end
-                invalid_intervals.previous_end.fillna(1.0, inplace=True)
-                invalid_intervals.next_start.fillna(1.0, inplace=True)
+                invalid_intervals['previous_end'] = \
+                    invalid_intervals['previous_end'].fillna(1.0)
+                invalid_intervals['next_start'] = \
+                    invalid_intervals['next_start'].fillna(1.0)
                 groups = set(invalid_intervals.group)
                 replace_levels = []
 
diff --git a/rdtools/test/clearsky_temperature_test.py b/rdtools/test/clearsky_temperature_test.py
index 71cbe86d..03571a36 100644
--- a/rdtools/test/clearsky_temperature_test.py
+++ b/rdtools/test/clearsky_temperature_test.py
@@ -47,7 +47,7 @@ def test_with_tricky_timezones():
     tz = 'America/Santiago'
     start_date = datetime.datetime(2018, 8, 10, 0, 0, 0)
     end_date = datetime.datetime(2018, 8, 14, 23, 0, 0)
-    freq = 'H'
+    freq = "h"
     lat = -24
     lon = -70
 
diff --git a/rdtools/test/conftest.py b/rdtools/test/conftest.py
index f22a05f5..b940f2df 100644
--- a/rdtools/test/conftest.py
+++ b/rdtools/test/conftest.py
@@ -1,6 +1,4 @@
-from pkg_resources import parse_version
 import pytest
-from functools import wraps
 import numpy as np
 import pandas as pd
 import itertools
@@ -9,31 +7,6 @@
 
 import rdtools
 
-rdtools_base_version = \
-    parse_version(parse_version(rdtools.__version__).base_version)
-
-
-# decorator takes one argument: the base version for which it should fail
-# for example @fail_on_rdtools_version('3.0.0') will cause a test to fail
-# on rdtools versions 3.0.0, 3.0.0-alpha, 3.1.0, etc
-def fail_on_rdtools_version(version):
-    # second level of decorator takes the function under consideration
-    def wrapper(func):
-        # third level defers computation until the test is called
-        # this allows the specific test to fail at test runtime,
-        # rather than at decoration time (when the module is imported)
-        @wraps(func)
-        def inner(*args, **kwargs):
-            # fail if the version is too high
-            if rdtools_base_version >= parse_version(version):
-                pytest.fail('the tested function is scheduled to be '
-                            'removed in %s' % version)
-            # otherwise return the function to be executed
-            else:
-                return func(*args, **kwargs)
-        return inner
-    return wrapper
-
 
 def assert_isinstance(obj, klass):
     assert isinstance(obj, klass), f'got {type(obj)}, expected {klass}'
@@ -58,11 +31,6 @@ def assert_warnings(messages, record):
         assert found_match, f"warning '{pattern}' not in {warning_messages}"
 
 
-requires_pvlib_below_090 = \
-    pytest.mark.skipif(parse_version(pvlib.__version__) > parse_version('0.8.1'),
-                       reason='requires pvlib <= 0.8.1')
-
-
 # %% Soiling fixtures
 
 @pytest.fixture()
diff --git a/rdtools/test/degradation_test.py b/rdtools/test/degradation_test.py
index 7a3f2c1c..a2e16ceb 100644
--- a/rdtools/test/degradation_test.py
+++ b/rdtools/test/degradation_test.py
@@ -23,7 +23,7 @@ def get_corr_energy(cls, rd, input_freq):
         daily_rd = rd / 365.0
 
         start = '2012-01-01'
-        if input_freq == 'S':
+        if input_freq == "s":
             end = '2012-03-01'
         else:
             end = '2015-01-01'
@@ -53,12 +53,10 @@ def setUpClass(cls):
         # define module constants and parameters
 
         # All frequencies
-        cls.list_all_input_freq = ['MS', 'M', 'W',
-                                   'D', 'H', 'T', 'S', 'Irregular_D']
+        cls.list_all_input_freq = ["MS", "M", "W", "D", "h", "min", "s", "Irregular_D"]
 
         # Allowed frequencies for degradation_ols
-        cls.list_ols_input_freq = ['MS', 'M', 'W',
-                                   'D', 'H', 'T', 'S', 'Irregular_D']
+        cls.list_ols_input_freq = ["MS", "M", "W", "D", "h", "min", "s", "Irregular_D"]
 
         '''
         Allowed frequencies for degradation_classical_decomposition
diff --git a/rdtools/test/energy_from_power_test.py b/rdtools/test/energy_from_power_test.py
index ee7a8561..edd6e010 100644
--- a/rdtools/test/energy_from_power_test.py
+++ b/rdtools/test/energy_from_power_test.py
@@ -6,7 +6,7 @@
 
 @pytest.fixture
 def times():
-    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="15T")
+    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="15min")
 
 
 @pytest.fixture
@@ -48,34 +48,32 @@ def test_energy_from_power_max_timedelta(power):
 
 
 def test_energy_from_power_upsample(power):
-    expected = power.resample("10T").asfreq().interpolate() / 6
+    expected = power.resample("10min").asfreq().interpolate() / 6
     expected = expected.iloc[1:]
     expected.name = "energy_Wh"
-    result = energy_from_power(power, target_frequency="10T")
+    result = energy_from_power(power, target_frequency="10min")
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_downsample(power):
-    expected = power.resample("20T").asfreq()
+    expected = power.resample("20min").asfreq()
     expected = expected.iloc[1:]
     expected = pd.Series([0.75, 0.833333333, 0.416666667], index=expected.index)
     expected.name = "energy_Wh"
-    result = energy_from_power(power, target_frequency="20T")
+    result = energy_from_power(power, target_frequency="20min")
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_max_timedelta_edge_case():
-    times = pd.date_range("2020-01-01 12:00", periods=4, freq="15T")
+    times = pd.date_range("2020-01-01 12:00", periods=4, freq="15min")
     power = pd.Series(1, index=times)
     power = power.drop(power.index[2])
-    result = energy_from_power(
-        power, "30T", max_timedelta=pd.to_timedelta("20 minutes")
-    )
+    result = energy_from_power(power, "30min", max_timedelta=pd.to_timedelta("20 minutes"))
     assert result.isnull().all()
 
 
 def test_energy_from_power_single_value_input():
-    times = pd.date_range("2019-01-01", freq="15T", periods=1)
+    times = pd.date_range("2019-01-01", freq="15min", periods=1)
     power = pd.Series([100.0], index=times)
     expected_result = pd.Series([25.0], index=times, name="energy_Wh")
     result = energy_from_power(power)
@@ -83,7 +81,7 @@ def test_energy_from_power_single_value_input():
 
 
 def test_energy_from_power_single_value_input_no_freq():
-    power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15T"))
+    power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15min"))
     power.index.freq = None
     match = "Could not determine period of input power"
     with pytest.raises(ValueError, match=match):
@@ -91,7 +89,7 @@ def test_energy_from_power_single_value_input_no_freq():
 
 
 def test_energy_from_power_single_value_instantaneous():
-    power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15T"))
+    power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15min"))
     power.index.freq = None
     match = (
         "power_type='instantaneous' is incompatible with single element power. "
@@ -102,7 +100,7 @@ def test_energy_from_power_single_value_instantaneous():
 
 
 def test_energy_from_power_single_value_with_target():
-    times = pd.date_range("2019-01-01", freq="15T", periods=1)
+    times = pd.date_range("2019-01-01", freq="15min", periods=1)
     power = pd.Series([100.0], index=times)
     expected_result = pd.Series([100.0], index=times, name="energy_Wh")
     result = energy_from_power(power, target_frequency="H")
diff --git a/rdtools/test/filtering_test.py b/rdtools/test/filtering_test.py
index ca3e0d8f..400ee4d6 100644
--- a/rdtools/test/filtering_test.py
+++ b/rdtools/test/filtering_test.py
@@ -114,8 +114,7 @@ def generate_power_time_series_no_clipping():
     power_no_datetime_index = pd.Series(np.arange(1, 101))
     power_datetime_index = pd.Series(np.arange(1, 101))
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='H')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="h")
     power_datetime_index.index = pd.to_datetime(time_range[:100])
     # Create a series that is tz-naive to test on
     power_datetime_index_tz_naive = power_datetime_index.copy()
@@ -174,8 +173,7 @@ def generate_power_time_series_clipping():
     power_no_datetime_index = power_no_datetime_index.reset_index(drop=True)
     power_datetime_index = power_no_datetime_index.copy()
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='H')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="h")
     power_datetime_index.index = pd.to_datetime(time_range[:100])
     # Note: Power is expected to be Series object with a datetime index.
     return power_no_datetime_index, power_datetime_index
@@ -506,7 +504,7 @@ def test_directional_tukey_filter():
 
 def test_hour_angle_filter():
     # Create a pandas Series with 5 entries and 15 min index
-    index = pd.date_range(start='29/04/2022 15:00', periods=5, freq='H')
+    index = pd.date_range(start="29/04/2022 15:00", periods=5, freq="h", tz="UTC")
     series = pd.Series([1, 2, 3, 4, 5], index=index)
 
     # Define latitude and longitude
@@ -521,4 +519,4 @@ def test_hour_angle_filter():
 
     # Check that the result is the correct boolean Series
     expected_result = pd.Series([False, False, True, True, True], index=index)
-    pd.testing.assert_series_equal(result, expected_result)
+    pd.testing.assert_series_equal(result, expected_result, check_names=False)
diff --git a/rdtools/test/interpolate_test.py b/rdtools/test/interpolate_test.py
index adad0297..7ba1a0a9 100644
--- a/rdtools/test/interpolate_test.py
+++ b/rdtools/test/interpolate_test.py
@@ -7,7 +7,7 @@
 
 @pytest.fixture
 def time_series():
-    times = pd.date_range("2018-04-01 12:00", "2018-04-01 13:15", freq="15T")
+    times = pd.date_range("2018-04-01 12:00", "2018-04-01 13:15", freq="15min")
     time_series = pd.Series(data=[9, 6, 3, 3, 6, 9], index=times, name="foo")
     time_series = time_series.drop(times[4])
     return time_series
@@ -15,7 +15,7 @@ def time_series():
 
 @pytest.fixture
 def target_index(time_series):
-    return pd.date_range(time_series.index.min(), time_series.index.max(), freq="20T")
+    return pd.date_range(time_series.index.min(), time_series.index.max(), freq="20min")
 
 
 @pytest.fixture
diff --git a/rdtools/test/irradiance_rescale_test.py b/rdtools/test/irradiance_rescale_test.py
index 300c2e71..b235279b 100644
--- a/rdtools/test/irradiance_rescale_test.py
+++ b/rdtools/test/irradiance_rescale_test.py
@@ -7,7 +7,7 @@
 
 @pytest.fixture
 def simple_irradiance():
-    times = pd.date_range("2019-06-01 12:00", freq="15T", periods=5)
+    times = pd.date_range("2019-06-01 12:00", freq="15min", periods=5)
     time_series = pd.Series([1, 2, 3, 4, 5], index=times, dtype=float)
     return time_series
 
diff --git a/rdtools/test/normalize_with_expected_power_test.py b/rdtools/test/normalize_with_expected_power_test.py
index 746e062d..6e3b435b 100644
--- a/rdtools/test/normalize_with_expected_power_test.py
+++ b/rdtools/test/normalize_with_expected_power_test.py
@@ -5,12 +5,12 @@
 
 @pytest.fixture()
 def times_15():
-    return pd.date_range(start='20200101 12:00', end='20200101 13:00', freq='15T')
+    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="15min")
 
 
 @pytest.fixture()
 def times_30():
-    return pd.date_range(start='20200101 12:00', end='20200101 13:00', freq='30T')
+    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="30min")
 
 
 @pytest.fixture()
diff --git a/rdtools/test/plotting_test.py b/rdtools/test/plotting_test.py
index 7a3aeb87..cb4639cb 100644
--- a/rdtools/test/plotting_test.py
+++ b/rdtools/test/plotting_test.py
@@ -182,8 +182,7 @@ def test_soiling_rate_histogram_kwargs(soiling_info):
 def clipping_power_degradation_signal():
     clipping_power_series = pd.Series(np.arange(1, 101))
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='H')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="h")
     clipping_power_series.index = pd.to_datetime(time_range[:100])
     return clipping_power_series
 
diff --git a/requirements-min.txt b/requirements-min.txt
index db841210..3965202f 100644
--- a/requirements-min.txt
+++ b/requirements-min.txt
@@ -1,14 +1,12 @@
-h5py==2.8.0
-matplotlib==3.0.0
-numpy==1.17.3
-pandas==1.3
-pvlib==0.9.0
-scipy==1.2.0
-statsmodels==0.11.1
-tables==3.5.1
-numexpr==2.7.1  # https://github.com/pydata/numexpr/issues/369
-arch==4.11
-filterpy==1.4.5
+matplotlib==3.5.3
+numpy==1.22.4
+pandas==1.4.4
+statsmodels==0.13.5
+scipy==1.8.1
+h5py==3.7.0
 plotly==4.0.0
 xgboost==1.3.3
-scikit-learn==0.22.0
+pvlib==0.11.0
+scikit-learn==1.1.3
+arch==4.11
+filterpy==1.4.5
diff --git a/requirements.txt b/requirements.txt
index a3779e2e..387589a4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,35 +1,35 @@
 cached-property==1.5.2
 certifi==2024.7.4
-chardet==4.0.0
-cycler==0.10.0
-fonttools==4.43.0
+chardet==5.2.0
+cycler==0.12.1
+fonttools==4.53.1
 h5py==3.11.0
-idna==2.10
-joblib==1.2.0
-kiwisolver==1.3.2
-matplotlib==3.5.0
-numpy==1.22.0
-packaging==22.0
-pandas==1.3.4
-patsy==0.5.2
-Pillow==10.3.0
-plotly==4.10.0
-pvlib==0.9.0
-pyparsing==2.4.7
-python-dateutil==2.8.2
-pytz==2019.3
-arch==5.6.0
+idna==3.7
+joblib==1.4.2
+kiwisolver==1.4.5
+matplotlib==3.9.2
+numpy==2.1.1
+packaging==24.1
+pandas==2.2.2
+patsy==0.5.6
+Pillow==10.4.0
+plotly==5.23.0
+pvlib==0.11.0
+pyparsing==3.1.2
+python-dateutil==2.9.0
+pytz==2024.1
+arch==7.0.0
 filterpy==1.4.5
-requests==2.31.0
-retrying==1.3.3
-scikit-learn==1.0.2
-scipy==1.10.0
-setuptools-scm==7.0.5
-six==1.14.0
-statsmodels==0.13.1
-threadpoolctl==3.1.0
+requests==2.32.3
+retrying==1.3.4
+scikit-learn==1.5.1
+scipy==1.13.1
+setuptools-scm==8.1.0
+six==1.16.0
+statsmodels==0.14.2
+threadpoolctl==3.5.0
 tomli==2.0.1
-typing_extensions==4.11.0
-urllib3==1.26.18
-xgboost==1.5.1
+typing_extensions==4.12.2
+urllib3==2.2.2
+xgboost==2.1.1
 
diff --git a/setup.py b/setup.py
index d7a493cb..b7813729 100755
--- a/setup.py
+++ b/setup.py
@@ -32,60 +32,59 @@
 ]
 
 TESTS_REQUIRE = [
-    'pytest >= 3.6.3',
-    'pytest-cov',
-    'coverage',
-    'flake8',
-    'nbval==0.9.6',  # https://github.com/computationalmodelling/nbval/issues/194
-    'pytest-mock',
+    "pytest >= 3.6.3",
+    "pytest-cov",
+    "coverage",
+    "flake8",
+    # nbval greater than 0.9.6 has a bug with semicolon
+    # https://github.com/computationalmodelling/nbval/issues/194
+    "nbval<=0.9.6",
+    "pytest-mock",
 ]
 
 INSTALL_REQUIRES = [
-    'matplotlib >= 3.0.0',
-    'numpy >= 1.17.3, <2.0',
-    # pandas restricted to <2.1 until
-    # https://github.com/pandas-dev/pandas/issues/55794
-    # is resolved
-    'pandas >= 1.3.0, <2.1',
-    'statsmodels >= 0.11.1',
-    'scipy >= 1.2.0',
-    'h5py >= 2.8.0',
-    'plotly>=4.0.0',
-    'xgboost >= 1.3.3',
-    'pvlib >= 0.7.0, <0.12.0',
-    'scikit-learn >= 0.22.0',
-    'arch >= 4.11',
-    'filterpy >= 1.4.2'
+    "matplotlib >= 3.5.3",
+    "numpy >= 1.22.4",
+    "pandas >= 1.4.4",
+    "statsmodels >= 0.13.5",
+    "scipy >= 1.8.1",
+    "h5py >= 3.7.0",
+    "plotly>=4.0.0",
+    "xgboost >= 1.3.3",
+    "pvlib >= 0.11.0, <0.12.0",
+    "scikit-learn >= 1.1.3",
+    "arch >= 4.11",
+    "filterpy >= 1.4.2",
 ]
 
 EXTRAS_REQUIRE = {
-    'doc': [
-        'sphinx==4.5.0',
-        'nbsphinx==0.8.8',
-        'nbsphinx-link==1.3.0',
-        'sphinx_rtd_theme==0.5.2',
-        'ipython',
+    "doc": [
+        "sphinx==8.0.2",
+        "nbsphinx==0.9.5",
+        "nbsphinx-link==1.3.1",
+        "sphinx_rtd_theme==3.0.1",
+        "ipython",
         # sphinx-gallery used indirectly for nbsphinx thumbnail galleries; see:
         # https://nbsphinx.readthedocs.io/en/0.6.0/subdir/gallery.html#Creating-Thumbnail-Galleries
-        'sphinx-gallery==0.8.1',
+        "sphinx-gallery==0.18.0",
     ],
-    'test': TESTS_REQUIRE,
+    "test": TESTS_REQUIRE,
 }
 EXTRAS_REQUIRE['all'] = sorted(set(sum(EXTRAS_REQUIRE.values(), [])))
 
 
 CLASSIFIERS = [
-    'Development Status :: 5 - Production/Stable',
-    'License :: OSI Approved :: MIT License',
-    'Operating System :: OS Independent',
-    'Intended Audience :: Science/Research',
-    'Programming Language :: Python',
-    'Programming Language :: Python :: 3',
-    'Programming Language :: Python :: 3.7',
-    'Programming Language :: Python :: 3.8',
-    'Programming Language :: Python :: 3.9',
-    'Programming Language :: Python :: 3.10',
-    'Topic :: Scientific/Engineering',
+    "Development Status :: 5 - Production/Stable",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+    "Intended Audience :: Science/Research",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Topic :: Scientific/Engineering",
 ]
 
 KEYWORDS = [
diff --git a/versioneer.py b/versioneer.py
index 3aa5da37..1e3753e6 100644
--- a/versioneer.py
+++ b/versioneer.py
@@ -1,5 +1,5 @@
 
-# Version: 0.18
+# Version: 0.29
 
 """The Versioneer - like a rocketeer, but for versions.
 
@@ -7,18 +7,14 @@
 ==============
 
 * like a rocketeer, but for versions!
-* https://github.com/warner/python-versioneer
+* https://github.com/python-versioneer/python-versioneer
 * Brian Warner
-* License: Public Domain
-* Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy
-* [![Latest Version]
-(https://pypip.in/version/versioneer/badge.svg?style=flat)
-](https://pypi.python.org/pypi/versioneer/)
-* [![Build Status]
-(https://travis-ci.org/warner/python-versioneer.png?branch=master)
-](https://travis-ci.org/warner/python-versioneer)
-
-This is a tool for managing a recorded version number in distutils-based
+* License: Public Domain (Unlicense)
+* Compatible with: Python 3.7, 3.8, 3.9, 3.10, 3.11 and pypy3
+* [![Latest Version][pypi-image]][pypi-url]
+* [![Build Status][travis-image]][travis-url]
+
+This is a tool for managing a recorded version number in setuptools-based
 python projects. The goal is to remove the tedious and error-prone "update
 the embedded version string" step from your release process. Making a new
 release should be as easy as recording a new tag in your version-control
@@ -27,9 +23,38 @@
 
 ## Quick Install
 
-* `pip install versioneer` to somewhere to your $PATH
-* add a `[versioneer]` section to your setup.cfg (see below)
-* run `versioneer install` in your source tree, commit the results
+Versioneer provides two installation modes. The "classic" vendored mode installs
+a copy of versioneer into your repository. The experimental build-time dependency mode
+is intended to allow you to skip this step and simplify the process of upgrading.
+
+### Vendored mode
+
+* `pip install versioneer` to somewhere in your $PATH
+   * A [conda-forge recipe](https://github.com/conda-forge/versioneer-feedstock) is
+     available, so you can also use `conda install -c conda-forge versioneer`
+* add a `[tool.versioneer]` section to your `pyproject.toml` or a
+  `[versioneer]` section to your `setup.cfg` (see [Install](INSTALL.md))
+   * Note that you will need to add `tomli; python_version < "3.11"` to your
+     build-time dependencies if you use `pyproject.toml`
+* run `versioneer install --vendor` in your source tree, commit the results
+* verify version information with `python setup.py version`
+
+### Build-time dependency mode
+
+* `pip install versioneer` to somewhere in your $PATH
+   * A [conda-forge recipe](https://github.com/conda-forge/versioneer-feedstock) is
+     available, so you can also use `conda install -c conda-forge versioneer`
+* add a `[tool.versioneer]` section to your `pyproject.toml` or a
+  `[versioneer]` section to your `setup.cfg` (see [Install](INSTALL.md))
+* add `versioneer` (with `[toml]` extra, if configuring in `pyproject.toml`)
+  to the `requires` key of the `build-system` table in `pyproject.toml`:
+  ```toml
+  [build-system]
+  requires = ["setuptools", "versioneer[toml]"]
+  build-backend = "setuptools.build_meta"
+  ```
+* run `versioneer install --no-vendor` in your source tree, commit the results
+* verify version information with `python setup.py version`
 
 ## Version Identifiers
 
@@ -61,7 +86,7 @@
 for example `git describe --tags --dirty --always` reports things like
 "0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
 0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
-uncommitted changes.
+uncommitted changes).
 
 The version identifier is used for multiple purposes:
 
@@ -166,7 +191,7 @@
 
 Some situations are known to cause problems for Versioneer. This details the
 most significant ones. More can be found on Github
-[issues page](https://github.com/warner/python-versioneer/issues).
+[issues page](https://github.com/python-versioneer/python-versioneer/issues).
 
 ### Subprojects
 
@@ -180,7 +205,7 @@
   `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
   distributions (and upload multiple independently-installable tarballs).
 * Source trees whose main purpose is to contain a C library, but which also
-  provide bindings to Python (and perhaps other langauges) in subdirectories.
+  provide bindings to Python (and perhaps other languages) in subdirectories.
 
 Versioneer will look for `.git` in parent directories, and most operations
 should get the right version string. However `pip` and `setuptools` have bugs
@@ -194,9 +219,9 @@
 Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
 some later version.
 
-[Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking
+[Bug #38](https://github.com/python-versioneer/python-versioneer/issues/38) is tracking
 this issue. The discussion in
-[PR #61](https://github.com/warner/python-versioneer/pull/61) describes the
+[PR #61](https://github.com/python-versioneer/python-versioneer/pull/61) describes the
 issue from the Versioneer side in more detail.
 [pip PR#3176](https://github.com/pypa/pip/pull/3176) and
 [pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
@@ -224,31 +249,20 @@
 cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
 a different virtualenv), so this can be surprising.
 
-[Bug #83](https://github.com/warner/python-versioneer/issues/83) describes
+[Bug #83](https://github.com/python-versioneer/python-versioneer/issues/83) describes
 this one, but upgrading to a newer version of setuptools should probably
 resolve it.
 
-### Unicode version strings
-
-While Versioneer works (and is continually tested) with both Python 2 and
-Python 3, it is not entirely consistent with bytes-vs-unicode distinctions.
-Newer releases probably generate unicode version strings on py2. It's not
-clear that this is wrong, but it may be surprising for applications when then
-write these strings to a network connection or include them in bytes-oriented
-APIs like cryptographic checksums.
-
-[Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates
-this question.
-
 
 ## Updating Versioneer
 
 To upgrade your project to a new release of Versioneer, do the following:
 
 * install the new Versioneer (`pip install -U versioneer` or equivalent)
-* edit `setup.cfg`, if necessary, to include any new configuration settings
-  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
-* re-run `versioneer install` in your source tree, to replace
+* edit `setup.cfg` and `pyproject.toml`, if necessary,
+  to include any new configuration settings indicated by the release notes.
+  See [UPGRADING](./UPGRADING.md) for details.
+* re-run `versioneer install --[no-]vendor` in your source tree, to replace
   `SRC/_version.py`
 * commit any changed files
 
@@ -265,35 +279,70 @@
 direction and include code from all supported VCS systems, reducing the
 number of intermediate scripts.
 
+## Similar projects
+
+* [setuptools_scm](https://github.com/pypa/setuptools_scm/) - a non-vendored build-time
+  dependency
+* [minver](https://github.com/jbweston/miniver) - a lightweight reimplementation of
+  versioneer
+* [versioningit](https://github.com/jwodder/versioningit) - a PEP 518-based setuptools
+  plugin
 
 ## License
 
 To make Versioneer easier to embed, all its code is dedicated to the public
 domain. The `_version.py` that it creates is also in the public domain.
-Specifically, both are released under the Creative Commons "Public Domain
-Dedication" license (CC0-1.0), as described in
-https://creativecommons.org/publicdomain/zero/1.0/ .
+Specifically, both are released under the "Unlicense", as described in
+https://unlicense.org/.
+
+[pypi-image]: https://img.shields.io/pypi/v/versioneer.svg
+[pypi-url]: https://pypi.python.org/pypi/versioneer/
+[travis-image]:
+https://img.shields.io/travis/com/python-versioneer/python-versioneer.svg
+[travis-url]: https://travis-ci.com/github/python-versioneer/python-versioneer
 
 """
+# pylint:disable=invalid-name,import-outside-toplevel,missing-function-docstring
+# pylint:disable=missing-class-docstring,too-many-branches,too-many-statements
+# pylint:disable=raise-missing-from,too-many-lines,too-many-locals,import-error
+# pylint:disable=too-few-public-methods,redefined-outer-name,consider-using-with
+# pylint:disable=attribute-defined-outside-init,too-many-arguments
 
-from __future__ import print_function
-try:
-    import configparser
-except ImportError:
-    import ConfigParser as configparser
+import configparser
 import errno
 import json
 import os
 import re
 import subprocess
 import sys
+from pathlib import Path
+from typing import Any, Callable, cast, Dict, List, Optional, Tuple, Union
+from typing import NoReturn
+import functools
+
+have_tomllib = True
+if sys.version_info >= (3, 11):
+    import tomllib
+else:
+    try:
+        import tomli as tomllib
+    except ImportError:
+        have_tomllib = False
 
 
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    versionfile_source: str
+    versionfile_build: Optional[str]
+    parentdir_prefix: Optional[str]
+    verbose: Optional[bool]
+
 
-def get_root():
+def get_root() -> str:
     """Get the project root directory.
 
     We require that all commands are run from the project root, i.e. the
@@ -301,13 +350,23 @@ def get_root():
     """
     root = os.path.realpath(os.path.abspath(os.getcwd()))
     setup_py = os.path.join(root, "setup.py")
+    pyproject_toml = os.path.join(root, "pyproject.toml")
     versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+    if not (
+        os.path.exists(setup_py)
+        or os.path.exists(pyproject_toml)
+        or os.path.exists(versioneer_py)
+    ):
         # allow 'python path/to/setup.py COMMAND'
         root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
         setup_py = os.path.join(root, "setup.py")
+        pyproject_toml = os.path.join(root, "pyproject.toml")
         versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+    if not (
+        os.path.exists(setup_py)
+        or os.path.exists(pyproject_toml)
+        or os.path.exists(versioneer_py)
+    ):
         err = ("Versioneer was unable to run the project root directory. "
                "Versioneer requires setup.py to be executed from "
                "its immediate directory (like 'python setup.py COMMAND'), "
@@ -321,43 +380,62 @@ def get_root():
         # module-import table will cache the first one. So we can't use
         # os.path.dirname(__file__), as that will find whichever
         # versioneer.py was first imported, even in later projects.
-        me = os.path.realpath(os.path.abspath(__file__))
-        me_dir = os.path.normcase(os.path.splitext(me)[0])
+        my_path = os.path.realpath(os.path.abspath(__file__))
+        me_dir = os.path.normcase(os.path.splitext(my_path)[0])
         vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
-        if me_dir != vsr_dir:
+        if me_dir != vsr_dir and "VERSIONEER_PEP518" not in globals():
             print("Warning: build in %s is using versioneer.py from %s"
-                  % (os.path.dirname(me), versioneer_py))
+                  % (os.path.dirname(my_path), versioneer_py))
     except NameError:
         pass
     return root
 
 
-def get_config_from_root(root):
+def get_config_from_root(root: str) -> VersioneerConfig:
     """Read the project setup.cfg file to determine Versioneer config."""
-    # This might raise EnvironmentError (if setup.cfg is missing), or
+    # This might raise OSError (if setup.cfg is missing), or
     # configparser.NoSectionError (if it lacks a [versioneer] section), or
     # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
     # the top of versioneer.py for instructions on writing your setup.cfg .
-    setup_cfg = os.path.join(root, "setup.cfg")
-    parser = configparser.ConfigParser()
-    with open(setup_cfg, "r") as f:
-        parser.read_file(f)
-    VCS = parser.get("versioneer", "VCS")  # mandatory
-
-    def get(parser, name):
-        if parser.has_option("versioneer", name):
-            return parser.get("versioneer", name)
-        return None
+    root_pth = Path(root)
+    pyproject_toml = root_pth / "pyproject.toml"
+    setup_cfg = root_pth / "setup.cfg"
+    section: Union[Dict[str, Any], configparser.SectionProxy, None] = None
+    if pyproject_toml.exists() and have_tomllib:
+        try:
+            with open(pyproject_toml, 'rb') as fobj:
+                pp = tomllib.load(fobj)
+            section = pp['tool']['versioneer']
+        except (tomllib.TOMLDecodeError, KeyError) as e:
+            print(f"Failed to load config from {pyproject_toml}: {e}")
+            print("Try to load it from setup.cfg")
+    if not section:
+        parser = configparser.ConfigParser()
+        with open(setup_cfg) as cfg_file:
+            parser.read_file(cfg_file)
+        parser.get("versioneer", "VCS")  # raise error if missing
+
+        section = parser["versioneer"]
+
+    # `cast`` really shouldn't be used, but its simplest for the
+    # common VersioneerConfig users at the moment. We verify against
+    # `None` values elsewhere where it matters
+
     cfg = VersioneerConfig()
-    cfg.VCS = VCS
-    cfg.style = get(parser, "style") or ""
-    cfg.versionfile_source = get(parser, "versionfile_source")
-    cfg.versionfile_build = get(parser, "versionfile_build")
-    cfg.tag_prefix = get(parser, "tag_prefix")
-    if cfg.tag_prefix in ("''", '""'):
+    cfg.VCS = section['VCS']
+    cfg.style = section.get("style", "")
+    cfg.versionfile_source = cast(str, section.get("versionfile_source"))
+    cfg.versionfile_build = section.get("versionfile_build")
+    cfg.tag_prefix = cast(str, section.get("tag_prefix"))
+    if cfg.tag_prefix in ("''", '""', None):
         cfg.tag_prefix = ""
-    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
-    cfg.verbose = get(parser, "verbose")
+    cfg.parentdir_prefix = section.get("parentdir_prefix")
+    if isinstance(section, configparser.SectionProxy):
+        # Make sure configparser translates to bool
+        cfg.verbose = section.getboolean("verbose")
+    else:
+        cfg.verbose = section.get("verbose")
+
     return cfg
 
 
@@ -366,37 +444,48 @@ class NotThisMethod(Exception):
 
 
 # these dictionaries contain VCS-specific tools
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
-        if vcs not in HANDLERS:
-            HANDLERS[vcs] = {}
-        HANDLERS[vcs][method] = f
+        HANDLERS.setdefault(vcs, {})[method] = f
         return f
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -407,26 +496,25 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %s" % (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %s (error)" % dispcmd)
             print("stdout was %s" % stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-LONG_VERSION_PY['git'] = '''
+LONG_VERSION_PY['git'] = r'''
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by githubs download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build
 # directories (produced by setup.py build) will contain a much shorter file
 # that just contains the computed version number.
 
-# This file is released into the public domain. Generated by
-# versioneer-0.18 (https://github.com/warner/python-versioneer)
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
 
 """Git implementation of _version.py."""
 
@@ -435,9 +523,11 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
 import re
 import subprocess
 import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
 
 
-def get_keywords():
+def get_keywords() -> Dict[str, str]:
     """Get the keywords needed to look up the version information."""
     # these strings will be replaced by git during git-archive.
     # setup.py/versioneer.py will grep for the variable names, so they must
@@ -453,8 +543,15 @@ def get_keywords():
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
+
 
-def get_config():
+def get_config() -> VersioneerConfig:
     """Create, populate and return the VersioneerConfig() object."""
     # these strings are filled in when 'setup.py versioneer' creates
     # _version.py
@@ -472,13 +569,13 @@ class NotThisMethod(Exception):
     """Exception raised if a method is not valid for the current scenario."""
 
 
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
@@ -487,22 +584,35 @@ def decorate(f):
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -513,18 +623,20 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %%s" %% (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %%s (error)" %% dispcmd)
             print("stdout was %%s" %% stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -533,15 +645,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %%s but none started with prefix %%s" %%
@@ -550,41 +661,48 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -597,11 +715,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %%d
@@ -610,7 +728,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%%s', no digits" %% ",".join(refs - tags))
     if verbose:
@@ -619,6 +737,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %%s" %% r)
             return {"version": r,
@@ -634,7 +757,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -645,8 +773,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %%s not under git control" %% root)
@@ -654,24 +789,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%%s*" %% tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -688,7 +856,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%%s'"
                                %% describe_out)
             return pieces
@@ -713,26 +881,27 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -757,23 +926,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%%d.g%%s" %% (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%%d" %% pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%%d.dev%%d" %% (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%%d" %% (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%%d" %% pieces["distance"]
+        rendered = "0.post0.dev%%d" %% pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -800,12 +1017,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%%s" %% pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%%s" %% pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -822,7 +1068,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -842,7 +1088,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -862,7 +1108,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -876,10 +1122,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -894,7 +1144,7 @@ def render(pieces, style):
             "date": pieces.get("date")}
 
 
-def get_versions():
+def get_versions() -> Dict[str, Any]:
     """Get version information or return default if unable to do so."""
     # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
     # __file__, we can work backwards from there to the root. Some
@@ -915,7 +1165,7 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split('/'):
+        for _ in cfg.versionfile_source.split('/'):
             root = os.path.dirname(root)
     except NameError:
         return {"version": "0+unknown", "full-revisionid": None,
@@ -942,41 +1192,48 @@ def get_versions():
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -989,11 +1246,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -1002,7 +1259,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -1011,6 +1268,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %s" % r)
             return {"version": r,
@@ -1026,7 +1288,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -1037,8 +1304,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -1046,24 +1320,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%s*" % tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -1080,7 +1387,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%s'"
                                % describe_out)
             return pieces
@@ -1105,19 +1412,20 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def do_vcs_install(manifest_in, versionfile_source, ipy):
+def do_vcs_install(versionfile_source: str, ipy: Optional[str]) -> None:
     """Git-specific installation logic for Versioneer.
 
     For Git, this means creating/changing .gitattributes to mark _version.py
@@ -1126,36 +1434,40 @@ def do_vcs_install(manifest_in, versionfile_source, ipy):
     GITS = ["git"]
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
-    files = [manifest_in, versionfile_source]
+    files = [versionfile_source]
     if ipy:
         files.append(ipy)
-    try:
-        me = __file__
-        if me.endswith(".pyc") or me.endswith(".pyo"):
-            me = os.path.splitext(me)[0] + ".py"
-        versioneer_file = os.path.relpath(me)
-    except NameError:
-        versioneer_file = "versioneer.py"
-    files.append(versioneer_file)
+    if "VERSIONEER_PEP518" not in globals():
+        try:
+            my_path = __file__
+            if my_path.endswith((".pyc", ".pyo")):
+                my_path = os.path.splitext(my_path)[0] + ".py"
+            versioneer_file = os.path.relpath(my_path)
+        except NameError:
+            versioneer_file = "versioneer.py"
+        files.append(versioneer_file)
     present = False
     try:
-        f = open(".gitattributes", "r")
-        for line in f.readlines():
-            if line.strip().startswith(versionfile_source):
-                if "export-subst" in line.strip().split()[1:]:
-                    present = True
-        f.close()
-    except EnvironmentError:
+        with open(".gitattributes", "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith(versionfile_source):
+                    if "export-subst" in line.strip().split()[1:]:
+                        present = True
+                        break
+    except OSError:
         pass
     if not present:
-        f = open(".gitattributes", "a+")
-        f.write("%s export-subst\n" % versionfile_source)
-        f.close()
+        with open(".gitattributes", "a+") as fobj:
+            fobj.write(f"{versionfile_source} export-subst\n")
         files.append(".gitattributes")
     run_command(GITS, ["add", "--"] + files)
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -1164,15 +1476,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %s but none started with prefix %s" %
@@ -1181,7 +1492,7 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 SHORT_VERSION_PY = """
-# This file was generated by 'versioneer.py' (0.18) from
+# This file was generated by 'versioneer.py' (0.29) from
 # revision-control system data, or from the parent directory name of an
 # unpacked source archive. Distribution tarballs contain a pre-generated copy
 # of this file.
@@ -1198,12 +1509,12 @@ def get_versions():
 """
 
 
-def versions_from_file(filename):
+def versions_from_file(filename: str) -> Dict[str, Any]:
     """Try to determine the version from _version.py if present."""
     try:
         with open(filename) as f:
             contents = f.read()
-    except EnvironmentError:
+    except OSError:
         raise NotThisMethod("unable to read _version.py")
     mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
                    contents, re.M | re.S)
@@ -1215,9 +1526,8 @@ def versions_from_file(filename):
     return json.loads(mo.group(1))
 
 
-def write_to_version_file(filename, versions):
+def write_to_version_file(filename: str, versions: Dict[str, Any]) -> None:
     """Write the given version number to the given _version.py file."""
-    os.unlink(filename)
     contents = json.dumps(versions, sort_keys=True,
                           indent=1, separators=(",", ": "))
     with open(filename, "w") as f:
@@ -1226,14 +1536,14 @@ def write_to_version_file(filename, versions):
     print("set %s to '%s'" % (filename, versions["version"]))
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -1258,23 +1568,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%d" % pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%d" % pieces["distance"]
+        rendered = "0.post0.dev%d" % pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -1301,12 +1659,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -1323,7 +1710,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -1343,7 +1730,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -1363,7 +1750,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -1377,10 +1764,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -1399,7 +1790,7 @@ class VersioneerBadRootError(Exception):
     """The project root directory is unknown or missing key files."""
 
 
-def get_versions(verbose=False):
+def get_versions(verbose: bool = False) -> Dict[str, Any]:
     """Get the project version from whatever source is available.
 
     Returns dict with two keys: 'version' and 'full'.
@@ -1414,7 +1805,7 @@ def get_versions(verbose=False):
     assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
     handlers = HANDLERS.get(cfg.VCS)
     assert handlers, "unrecognized VCS '%s'" % cfg.VCS
-    verbose = verbose or cfg.verbose
+    verbose = verbose or bool(cfg.verbose)  # `bool()` used to avoid `None`
     assert cfg.versionfile_source is not None, \
         "please set versioneer.versionfile_source"
     assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
@@ -1475,13 +1866,17 @@ def get_versions(verbose=False):
             "date": None}
 
 
-def get_version():
+def get_version() -> str:
     """Get the short version string for this project."""
     return get_versions()["version"]
 
 
-def get_cmdclass():
-    """Get the custom setuptools/distutils subclasses used by Versioneer."""
+def get_cmdclass(cmdclass: Optional[Dict[str, Any]] = None):
+    """Get the custom setuptools subclasses used by Versioneer.
+
+    If the package uses a different cmdclass (e.g. one from numpy), it
+    should be provide as an argument.
+    """
     if "versioneer" in sys.modules:
         del sys.modules["versioneer"]
         # this fixes the "python setup.py develop" case (also 'install' and
@@ -1495,25 +1890,25 @@ def get_cmdclass():
         # parent is protected against the child's "import versioneer". By
         # removing ourselves from sys.modules here, before the child build
         # happens, we protect the child from the parent's versioneer too.
-        # Also see https://github.com/warner/python-versioneer/issues/52
+        # Also see https://github.com/python-versioneer/python-versioneer/issues/52
 
-    cmds = {}
+    cmds = {} if cmdclass is None else cmdclass.copy()
 
-    # we add "version" to both distutils and setuptools
-    from distutils.core import Command
+    # we add "version" to setuptools
+    from setuptools import Command
 
     class cmd_version(Command):
         description = "report generated version string"
-        user_options = []
-        boolean_options = []
+        user_options: List[Tuple[str, str, str]] = []
+        boolean_options: List[str] = []
 
-        def initialize_options(self):
+        def initialize_options(self) -> None:
             pass
 
-        def finalize_options(self):
+        def finalize_options(self) -> None:
             pass
 
-        def run(self):
+        def run(self) -> None:
             vers = get_versions(verbose=True)
             print("Version: %s" % vers["version"])
             print(" full-revisionid: %s" % vers.get("full-revisionid"))
@@ -1523,7 +1918,7 @@ def run(self):
                 print(" error: %s" % vers["error"])
     cmds["version"] = cmd_version
 
-    # we override "build_py" in both distutils and setuptools
+    # we override "build_py" in setuptools
     #
     # most invocation pathways end up running build_py:
     #  distutils/build -> build_py
@@ -1538,18 +1933,25 @@ def run(self):
     #   then does setup.py bdist_wheel, or sometimes setup.py install
     #  setup.py egg_info -> ?
 
+    # pip install -e . and setuptool/editable_wheel will invoke build_py
+    # but the build_py command is not expected to copy any files.
+
     # we override different "build_py" commands for both environments
-    if "setuptools" in sys.modules:
-        from setuptools.command.build_py import build_py as _build_py
+    if 'build_py' in cmds:
+        _build_py: Any = cmds['build_py']
     else:
-        from distutils.command.build_py import build_py as _build_py
+        from setuptools.command.build_py import build_py as _build_py
 
     class cmd_build_py(_build_py):
-        def run(self):
+        def run(self) -> None:
             root = get_root()
             cfg = get_config_from_root(root)
             versions = get_versions()
             _build_py.run(self)
+            if getattr(self, "editable_mode", False):
+                # During editable installs `.py` and data files are
+                # not copied to build_lib
+                return
             # now locate _version.py in the new build/ directory and replace
             # it with an updated value
             if cfg.versionfile_build:
@@ -1559,8 +1961,40 @@ def run(self):
                 write_to_version_file(target_versionfile, versions)
     cmds["build_py"] = cmd_build_py
 
+    if 'build_ext' in cmds:
+        _build_ext: Any = cmds['build_ext']
+    else:
+        from setuptools.command.build_ext import build_ext as _build_ext
+
+    class cmd_build_ext(_build_ext):
+        def run(self) -> None:
+            root = get_root()
+            cfg = get_config_from_root(root)
+            versions = get_versions()
+            _build_ext.run(self)
+            if self.inplace:
+                # build_ext --inplace will only build extensions in
+                # build/lib<..> dir with no _version.py to write to.
+                # As in place builds will already have a _version.py
+                # in the module dir, we do not need to write one.
+                return
+            # now locate _version.py in the new build/ directory and replace
+            # it with an updated value
+            if not cfg.versionfile_build:
+                return
+            target_versionfile = os.path.join(self.build_lib,
+                                              cfg.versionfile_build)
+            if not os.path.exists(target_versionfile):
+                print(f"Warning: {target_versionfile} does not exist, skipping "
+                      "version update. This can happen if you are running build_ext "
+                      "without first running build_py.")
+                return
+            print("UPDATING %s" % target_versionfile)
+            write_to_version_file(target_versionfile, versions)
+    cmds["build_ext"] = cmd_build_ext
+
     if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
-        from cx_Freeze.dist import build_exe as _build_exe
+        from cx_Freeze.dist import build_exe as _build_exe  # type: ignore
         # nczeczulin reports that py2exe won't like the pep440-style string
         # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
         # setup(console=[{
@@ -1569,7 +2003,7 @@ def run(self):
         #   ...
 
         class cmd_build_exe(_build_exe):
-            def run(self):
+            def run(self) -> None:
                 root = get_root()
                 cfg = get_config_from_root(root)
                 versions = get_versions()
@@ -1593,12 +2027,12 @@ def run(self):
 
     if 'py2exe' in sys.modules:  # py2exe enabled?
         try:
-            from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
+            from py2exe.setuptools_buildexe import py2exe as _py2exe  # type: ignore
         except ImportError:
-            from py2exe.build_exe import py2exe as _py2exe  # py2
+            from py2exe.distutils_buildexe import py2exe as _py2exe  # type: ignore
 
         class cmd_py2exe(_py2exe):
-            def run(self):
+            def run(self) -> None:
                 root = get_root()
                 cfg = get_config_from_root(root)
                 versions = get_versions()
@@ -1619,14 +2053,51 @@ def run(self):
                              })
         cmds["py2exe"] = cmd_py2exe
 
+    # sdist farms its file list building out to egg_info
+    if 'egg_info' in cmds:
+        _egg_info: Any = cmds['egg_info']
+    else:
+        from setuptools.command.egg_info import egg_info as _egg_info
+
+    class cmd_egg_info(_egg_info):
+        def find_sources(self) -> None:
+            # egg_info.find_sources builds the manifest list and writes it
+            # in one shot
+            super().find_sources()
+
+            # Modify the filelist and normalize it
+            root = get_root()
+            cfg = get_config_from_root(root)
+            self.filelist.append('versioneer.py')
+            if cfg.versionfile_source:
+                # There are rare cases where versionfile_source might not be
+                # included by default, so we must be explicit
+                self.filelist.append(cfg.versionfile_source)
+            self.filelist.sort()
+            self.filelist.remove_duplicates()
+
+            # The write method is hidden in the manifest_maker instance that
+            # generated the filelist and was thrown away
+            # We will instead replicate their final normalization (to unicode,
+            # and POSIX-style paths)
+            from setuptools import unicode_utils
+            normalized = [unicode_utils.filesys_decode(f).replace(os.sep, '/')
+                          for f in self.filelist.files]
+
+            manifest_filename = os.path.join(self.egg_info, 'SOURCES.txt')
+            with open(manifest_filename, 'w') as fobj:
+                fobj.write('\n'.join(normalized))
+
+    cmds['egg_info'] = cmd_egg_info
+
     # we override different "sdist" commands for both environments
-    if "setuptools" in sys.modules:
-        from setuptools.command.sdist import sdist as _sdist
+    if 'sdist' in cmds:
+        _sdist: Any = cmds['sdist']
     else:
-        from distutils.command.sdist import sdist as _sdist
+        from setuptools.command.sdist import sdist as _sdist
 
     class cmd_sdist(_sdist):
-        def run(self):
+        def run(self) -> None:
             versions = get_versions()
             self._versioneer_generated_versions = versions
             # unless we update this, the command will keep using the old
@@ -1634,7 +2105,7 @@ def run(self):
             self.distribution.metadata.version = versions["version"]
             return _sdist.run(self)
 
-        def make_release_tree(self, base_dir, files):
+        def make_release_tree(self, base_dir: str, files: List[str]) -> None:
             root = get_root()
             cfg = get_config_from_root(root)
             _sdist.make_release_tree(self, base_dir, files)
@@ -1687,21 +2158,26 @@ def make_release_tree(self, base_dir, files):
 
 """
 
-INIT_PY_SNIPPET = """
+OLD_SNIPPET = """
 from ._version import get_versions
 __version__ = get_versions()['version']
 del get_versions
 """
 
+INIT_PY_SNIPPET = """
+from . import {0}
+__version__ = {0}.get_versions()['version']
+"""
 
-def do_setup():
-    """Main VCS-independent setup function for installing Versioneer."""
+
+def do_setup() -> int:
+    """Do main VCS-independent setup function for installing Versioneer."""
     root = get_root()
     try:
         cfg = get_config_from_root(root)
-    except (EnvironmentError, configparser.NoSectionError,
+    except (OSError, configparser.NoSectionError,
             configparser.NoOptionError) as e:
-        if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
+        if isinstance(e, (OSError, configparser.NoSectionError)):
             print("Adding sample versioneer config to setup.cfg",
                   file=sys.stderr)
             with open(os.path.join(root, "setup.cfg"), "a") as f:
@@ -1721,62 +2197,37 @@ def do_setup():
 
     ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
                        "__init__.py")
+    maybe_ipy: Optional[str] = ipy
     if os.path.exists(ipy):
         try:
             with open(ipy, "r") as f:
                 old = f.read()
-        except EnvironmentError:
+        except OSError:
             old = ""
-        if INIT_PY_SNIPPET not in old:
+        module = os.path.splitext(os.path.basename(cfg.versionfile_source))[0]
+        snippet = INIT_PY_SNIPPET.format(module)
+        if OLD_SNIPPET in old:
+            print(" replacing boilerplate in %s" % ipy)
+            with open(ipy, "w") as f:
+                f.write(old.replace(OLD_SNIPPET, snippet))
+        elif snippet not in old:
             print(" appending to %s" % ipy)
             with open(ipy, "a") as f:
-                f.write(INIT_PY_SNIPPET)
+                f.write(snippet)
         else:
             print(" %s unmodified" % ipy)
     else:
         print(" %s doesn't exist, ok" % ipy)
-        ipy = None
-
-    # Make sure both the top-level "versioneer.py" and versionfile_source
-    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
-    # they'll be copied into source distributions. Pip won't be able to
-    # install the package without this.
-    manifest_in = os.path.join(root, "MANIFEST.in")
-    simple_includes = set()
-    try:
-        with open(manifest_in, "r") as f:
-            for line in f:
-                if line.startswith("include "):
-                    for include in line.split()[1:]:
-                        simple_includes.add(include)
-    except EnvironmentError:
-        pass
-    # That doesn't cover everything MANIFEST.in can do
-    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
-    # it might give some false negatives. Appending redundant 'include'
-    # lines is safe, though.
-    if "versioneer.py" not in simple_includes:
-        print(" appending 'versioneer.py' to MANIFEST.in")
-        with open(manifest_in, "a") as f:
-            f.write("include versioneer.py\n")
-    else:
-        print(" 'versioneer.py' already in MANIFEST.in")
-    if cfg.versionfile_source not in simple_includes:
-        print(" appending versionfile_source ('%s') to MANIFEST.in" %
-              cfg.versionfile_source)
-        with open(manifest_in, "a") as f:
-            f.write("include %s\n" % cfg.versionfile_source)
-    else:
-        print(" versionfile_source already in MANIFEST.in")
+        maybe_ipy = None
 
     # Make VCS-specific changes. For git, this means creating/changing
     # .gitattributes to mark _version.py for export-subst keyword
     # substitution.
-    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
+    do_vcs_install(cfg.versionfile_source, maybe_ipy)
     return 0
 
 
-def scan_setup_py():
+def scan_setup_py() -> int:
     """Validate the contents of setup.py against Versioneer's expectations."""
     found = set()
     setters = False
@@ -1813,10 +2264,14 @@ def scan_setup_py():
     return errors
 
 
+def setup_command() -> NoReturn:
+    """Set up Versioneer and exit with appropriate error code."""
+    errors = do_setup()
+    errors += scan_setup_py()
+    sys.exit(1 if errors else 0)
+
+
 if __name__ == "__main__":
     cmd = sys.argv[1]
     if cmd == "setup":
-        errors = do_setup()
-        errors += scan_setup_py()
-        if errors:
-            sys.exit(1)
+        setup_command()